Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture
Fernando Rivadeneira and colleagues in the Genetic Factors for Osteoporosis Consortium report a large-scale meta-analysis identifying new loci associated with bone mineral density (BMD) and risk of fracture. Thirty-two new loci are found to be associated with BMD, and 6 loci confer higher risk for l...
Saved in:
| Published in | Nature genetics Vol. 44; no. 5; pp. 491 - 501 |
|---|---|
| Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Nature Publishing Group US
01.05.2012
Nature Publishing Group |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1061-4036 1546-1718 1546-1718 |
| DOI | 10.1038/ng.2249 |
Cover
| Abstract | Fernando Rivadeneira and colleagues in the Genetic Factors for Osteoporosis Consortium report a large-scale meta-analysis identifying new loci associated with bone mineral density (BMD) and risk of fracture. Thirty-two new loci are found to be associated with BMD, and 6 loci confer higher risk for low-trauma bone fracture.
Bone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and east Asian ancestry. We tested the top BMD-associated markers for replication in 50,933 independent subjects and for association with risk of low-trauma fracture in 31,016 individuals with a history of fracture (cases) and 102,444 controls. We identified 56 loci (32 new) associated with BMD at genome-wide significance (
P
< 5 × 10
−8
). Several of these factors cluster within the RANK-RANKL-OPG, mesenchymal stem cell differentiation, endochondral ossification and Wnt signaling pathways. However, we also discovered loci that were localized to genes not known to have a role in bone biology. Fourteen BMD-associated loci were also associated with fracture risk (
P
< 5 × 10
−4
, Bonferroni corrected), of which six reached
P
< 5 × 10
−8
, including at 18p11.21 (
FAM210A
), 7q21.3 (
SLC25A13
), 11q13.2 (
LRP5)
, 4q22.1 (
MEPE
), 2p16.2 (
SPTBN1
) and 10q21.1 (
DKK1
). These findings shed light on the genetic architecture and pathophysiological mechanisms underlying BMD variation and fracture susceptibility. |
|---|---|
| AbstractList | Bone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and east Asian ancestry. We tested the top BMD-associated markers for replication in 50,933 independent subjects and for association with risk of low-trauma fracture in 31,016 individuals with a history of fracture (cases) and 102,444 controls. We identified 56 loci (32 new) associated with BMD at genome-wide significance (P < 5 × 10^sup -8^). Several of these factors cluster within the RANK-RANKL-OPG, mesenchymal stem cell differentiation, endochondral ossification and Wnt signaling pathways. However, we also discovered loci that were localized to genes not known to have a role in bone biology. Fourteen BMD-associated loci were also associated with fracture risk (P < 5 × 10^sup -4^, Bonferroni corrected), of which six reached P < 5 × 10^sup -8^, including at 18p11.21 (FAM210A), 7q21.3 (SLC25A13), 11q13.2 (LRP5), 4q22.1 (MEPE), 2p16.2 (SPTBN1) and 10q21.1 (DKK1). These findings shed light on the genetic architecture and pathophysiological mechanisms underlying BMD variation and fracture susceptibility. [PUBLICATION ABSTRACT] Bone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and east Asian ancestry. We tested the top BMD-associated markers for replication in 50,933 independent subjects and for association with risk of low-trauma fracture in 31,016 individuals with a history of fracture (cases) and 102,444 controls. We identified 56 loci (32 new) associated with BMD at genome-wide significance (P < 5 × 10(-8)). Several of these factors cluster within the RANK-RANKL-OPG, mesenchymal stem cell differentiation, endochondral ossification and Wnt signaling pathways. However, we also discovered loci that were localized to genes not known to have a role in bone biology. Fourteen BMD-associated loci were also associated with fracture risk (P < 5 × 10(-4), Bonferroni corrected), of which six reached P < 5 × 10(-8), including at 18p11.21 (FAM210A), 7q21.3 (SLC25A13), 11q13.2 (LRP5), 4q22.1 (MEPE), 2p16.2 (SPTBN1) and 10q21.1 (DKK1). These findings shed light on the genetic architecture and pathophysiological mechanisms underlying BMD variation and fracture susceptibility. Bone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and east Asian ancestry. We tested the top BMD-associated markers for replication in 50,933 independent subjects and for association with risk of low-trauma fracture in 31,016 individuals with a history of fracture (cases) and 102,444 controls. We identified 56 loci (32 new) associated with BMD at genome-wide significance (P < 5 × 10(-8)). Several of these factors cluster within the RANK-RANKL-OPG, mesenchymal stem cell differentiation, endochondral ossification and Wnt signaling pathways. However, we also discovered loci that were localized to genes not known to have a role in bone biology. Fourteen BMD-associated loci were also associated with fracture risk (P < 5 × 10(-4), Bonferroni corrected), of which six reached P < 5 × 10(-8), including at 18p11.21 (FAM210A), 7q21.3 (SLC25A13), 11q13.2 (LRP5), 4q22.1 (MEPE), 2p16.2 (SPTBN1) and 10q21.1 (DKK1). These findings shed light on the genetic architecture and pathophysiological mechanisms underlying BMD variation and fracture susceptibility.Bone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and east Asian ancestry. We tested the top BMD-associated markers for replication in 50,933 independent subjects and for association with risk of low-trauma fracture in 31,016 individuals with a history of fracture (cases) and 102,444 controls. We identified 56 loci (32 new) associated with BMD at genome-wide significance (P < 5 × 10(-8)). Several of these factors cluster within the RANK-RANKL-OPG, mesenchymal stem cell differentiation, endochondral ossification and Wnt signaling pathways. However, we also discovered loci that were localized to genes not known to have a role in bone biology. Fourteen BMD-associated loci were also associated with fracture risk (P < 5 × 10(-4), Bonferroni corrected), of which six reached P < 5 × 10(-8), including at 18p11.21 (FAM210A), 7q21.3 (SLC25A13), 11q13.2 (LRP5), 4q22.1 (MEPE), 2p16.2 (SPTBN1) and 10q21.1 (DKK1). These findings shed light on the genetic architecture and pathophysiological mechanisms underlying BMD variation and fracture susceptibility. Bone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and east Asian ancestry. We tested the top BMD-associated markers for replication in 50,933 independent subjects and for association with risk of low-trauma fracture in 31,016 individuals with a history of fracture (cases) and 102,444 controls. We identified 56 loci (32 new) associated with BMD at genome-wide significance (P < 5 x 10(-8)). Several of these factors cluster within the RANK-RANKL-OPG, mesenchymal stem cell differentiation, endochondral ossification and Wnt signaling pathways. However, we also discovered loci that were localized to genes not known to have a role in bone biology. Fourteen BMD-associated loci were also associated with fracture risk (P < 5 x 10(-4), Bonferroni corrected), of which six reached P < 5 x 10(-8), including at 18p11.21 (FAM210A), 7q21.3 (SLC25A13), 11q13.2 (LRP5), 4q22.1 (MEPE), 2p16.2 (SPTBN1) and 10q21.1 (DKK1). These findings shed light on the genetic architecture and pathophysiological mechanisms underlying BMD variation and fracture susceptibility. Bone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and east Asian ancestry. We tested the top BMD-associated markers for replication in 50,933 independent subjects and for association with risk of low-trauma fracture in 31,016 individuals with a history of fracture (cases) and 102,444 controls. We identified 56 loci (32 new) associated with BMD at genome-wide significance (P < 5 x 10(-8)). Several of these factors cluster within the RANK-RANKL-OPG, mesenchymal stem cell differentiation, endochondral ossification and Wnt signaling pathways. However, we also discovered loci that were localized to genes not known to have a role in bone biology. Fourteen BMD-associated loci were also associated with fracture risk (P < 5 x 10(-4), Bonferroni corrected), of which six reached P < 5 x 10(-8), including at 18p11.21 (FAM210A), 7q21.3 (SLC25A13), 11q13.2 (LRP5), 4q22.1 (MEPE), 2p16.2 (SPTBN1) and 10q21.1 (DKK1). These findings shed light on the genetic architecture and pathophysiological mechanisms underlying BMD variation and fracture susceptibility. Bone mineral density (BMD) is the most important predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and East Asian ancestry. We tested the top-associated BMD markers for replication in 50,933 independent subjects and for risk of low-trauma fracture in 31,016 cases and 102,444 controls. We identified 56 loci (32 novel)associated with BMD atgenome-wide significant level (P<5×10 −8 ). Several of these factors cluster within the RANK-RANKL-OPG, mesenchymal-stem-cell differentiation, endochondral ossification and the Wnt signalling pathways. However, we also discovered loci containing genes not known to play a role in bone biology. Fourteen BMD loci were also associated with fracture risk (P<5×10 −4 , Bonferroni corrected), of which six reached P<5×10 −8 including: 18p11.21 ( C18orf19 ), 7q21.3 ( SLC25A13 ), 11q13.2 ( LRP5) , 4q22.1 ( MEPE ), 2p16.2 ( SPTBN1 ) and 10q21.1 ( DKK1 ). These findings shed light on the genetic architecture and pathophysiological mechanisms underlying BMD variation and fracture susceptibility. Fernando Rivadeneira and colleagues in the Genetic Factors for Osteoporosis Consortium report a large-scale meta-analysis identifying new loci associated with bone mineral density (BMD) and risk of fracture. Thirty-two new loci are found to be associated with BMD, and 6 loci confer higher risk for low-trauma bone fracture. Bone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and east Asian ancestry. We tested the top BMD-associated markers for replication in 50,933 independent subjects and for association with risk of low-trauma fracture in 31,016 individuals with a history of fracture (cases) and 102,444 controls. We identified 56 loci (32 new) associated with BMD at genome-wide significance ( P < 5 × 10 −8 ). Several of these factors cluster within the RANK-RANKL-OPG, mesenchymal stem cell differentiation, endochondral ossification and Wnt signaling pathways. However, we also discovered loci that were localized to genes not known to have a role in bone biology. Fourteen BMD-associated loci were also associated with fracture risk ( P < 5 × 10 −4 , Bonferroni corrected), of which six reached P < 5 × 10 −8 , including at 18p11.21 ( FAM210A ), 7q21.3 ( SLC25A13 ), 11q13.2 ( LRP5) , 4q22.1 ( MEPE ), 2p16.2 ( SPTBN1 ) and 10q21.1 ( DKK1 ). These findings shed light on the genetic architecture and pathophysiological mechanisms underlying BMD variation and fracture susceptibility. Bone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and east Asian ancestry. We tested the top BMD-associated markers for replication in 50,933 independent subjects and for association with risk of low-trauma fracture in 31,016 individuals with a history of fracture (cases) and 102,444 controls. We identified 56 loci (32 new) associated with BMD at genome-wide significance (P < 5 x 10 super(-8)). Several of these factors cluster within the RANK-RANKL-OPG, mesenchymal stem cell differentiation, endochondral ossification and Wnt signaling pathways. However, we also discovered loci that were localized to genes not known to have a role in bone biology. Fourteen BMD-associated loci were also associated with fracture risk (P < 5 x 10 super(-4), Bonferroni corrected), of which six reached P < 5 x 10 super(-8), including at 18p11.21 (FAM210A), 7q21.3 (SLC25A13), 11q13.2 (LRP5), 4q22.1 (MEPE), 2p16.2 (SPTBN1) and 10q21.1 (DKK1). These findings shed light on the genetic architecture and pathophysiological mechanisms underlying BMD variation and fracture susceptibility. Bone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and east Asian ancestry. We tested the top BMD-associated markers for replication in 50,933 independent subjects and for association with risk of low-trauma fracture in 31,016 individuals with a history of fracture (cases) and 102,444 controls. We identified 56 loci (32 new) associated with BMD at genome-wide significance (P < 5 × 10−8). Several of these factors cluster within the RANK-RANKL-OPG, mesenchymal stem cell differentiation, endochondral ossification and Wnt signaling pathways. However, we also discovered loci that were localized to genes not known to have a role in bone biology. Fourteen BMD-associated loci were also associated with fracture risk (P < 5 × 10−4, Bonferroni corrected), of which six reached P < 5 × 10−8, including at 18p11.21 (FAM210A), 7q21.3 (SLC25A13), 11q13.2 (LRP5), 4q22.1 (MEPE), 2p16.2 (SPTBN1) and 10q21.1 (DKK1). These findings shed light on the genetic architecture and pathophysiological mechanisms underlying BMD variation and fracture susceptibility. Bone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and east Asian ancestry. We tested the top BMD-associated markers for replication in 50,933 independent subjects and for association with risk of low-trauma fracture in 31,016 individuals with a history of fracture (cases) and 102,444 controls. We identified 56 loci (32 new) associated with BMD at genome-wide significance (P < 5 × 10(-8)). Several of these factors cluster within the RANK-RANKL-OPG, mesenchymal stem cell differentiation, endochondral ossification and Wnt signaling pathways. However, we also discovered loci that were localized to genes not known to have a role in bone biology. Fourteen BMD-associated loci were also associated with fracture risk (P < 5 × 10(-4), Bonferroni corrected), of which six reached P < 5 × 10(-8), including at 18p11.21 (FAM210A), 7q21.3 (SLC25A13), 11q13.2 (LRP5), 4q22.1 (MEPE), 2p16.2 (SPTBN1) and 10q21.1 (DKK1). These findings shed light on the genetic architecture and pathophysiological mechanisms underlying BMD variation and fracture susceptibility. Bone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and east Asian ancestry. We tested the top BMD-associated markers for replication in 50,933 independent subjects and for association with risk of low-trauma fracture in 31,016 individuals with a history of fracture (cases) and 102,444 controls. We identified 56 loci (32 new) associated with BMD at genome-wide significance (P < 5 x [10.sup.-8]). Several of these factors cluster within the RANKRANKL-OPG, mesenchymal stem cell differentiation, endochondral ossification and Wnt signaling pathways. However, we also discovered loci that were localized to genes not known to have a role in bone biology. Fourteen BMD-associated loci were also associated with fracture risk (P < 5 x [10.sup.-4], Bonferroni corrected), of which six reached P < 5 x [10.sup.-8], including at 18p11.21 (FAM210A), 7q21.3 (SLC25A13), 11 q13.2 (LRP5), 4q22.1 (MEPE), 2p16.2 (SPTBN1) and 10q21.1 (DKK1). These findings shed light on the genetic architecture and pathophysiological mechanisms underlying BMD variation and fracture susceptibility. |
| Audience | Academic |
| Author | Albagha, Omar M E Koromila, Theodora Eastell, Richard Jackson, Rebecca D Cupples, L Adrienne Spector, Timothy D Van Hul, Wim Herrera, Lizbeth Urreizti, Roser Pastinen, Tomi Gudnason, Vilmundur Streeten, Elizabeth A Frost, Morten Rotter, Jerome I Minster, Ryan L Harris, Tamara B Amin, Najaf Khaw, Kay-Tee Richards, J Brent Tang, Nelson L S Liu, Yongmei Pols, Huibert A P Oei, Ling Garcia, Melissa Econs, Michael J Kemp, John P Ljunggren, Östen Reid, Ian R Stefansson, Kari Jones, Graeme McCloskey, Eugene Khusnutdinova, Elza Hsu, Yi-Hsiang Masi, Laura Siggeirsdottir, Kristin Eisman, John A Nguyen, Tuan V Williams, Frances M K Sigurdsson, Gunnar Wilson, James F Lewis, Joshua R Sham, Pak Chung Aragaki, Aaron K Uitterlinden, André G Estrada, Karol Liu, Ching-Ti Karlsson, Magnus Zarrabeitia, María T Kähönen, Mika Wareham, Nick J Reid, David M Khusainova, Rita Lee, Seung Hun Jukema, J Wouter Lorenc, Roman S Nogues, Xavier Xiao, Su-Mei Christiansen, Claus Langdahl, Bente Lomholt Mellström, Dan Duggan, David J Peacock, Munro Psaty, Bruce M Koh, Jung-Min Viikari |
| AuthorAffiliation | 67 Department of Health Sciences, University of Jyväskylä, Jyväskylä, Finland 7 Department of Medicine, Harvard Medical School, Boston, USA 35 Department of Medicine, University of New South Wales, Sydney, Australia 41 Unité de recherche en génétique humaine et moléculaire, Centre de recherche du Centre hospitalier universitaire de Québec - Hôpital St-François-d’Assise (CHUQ/HSFA), Québec City, Canada 64 Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China 97 Wellcome Trust Sanger Institute, Hinxton, UK 81 Department of Endocrinology, Vrije Universiteit (VU) University Medical Center, Amsterdam, The Netherlands 101 Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway 118 Department of Clinical Chemistry, Tampere University Hospital, Tampere, Finland 58 Department of Medicine, University of Cambridge, Cambridge, UK 100 Department of Epidemiology and Biostatistics, Lady Davis Institute, McGill University, Montreal, Canada 93 Depart |
| AuthorAffiliation_xml | – name: 7 Department of Medicine, Harvard Medical School, Boston, USA – name: 115 Menzies Research Institute, University of Tasmania, Hobart, Australia – name: 26 Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK – name: 81 Department of Endocrinology, Vrije Universiteit (VU) University Medical Center, Amsterdam, The Netherlands – name: 87 The APOGEE-Net/CanGèneTest Network on Genetic Health Services and Policy, Université Laval, Québec City, Canada – name: 137 Departments of Medicine, Human Genetics, Epidemiology and Biostatistics, Lady Davis Institute, McGill University, Montreal, Canada – name: 114 Center for Clinical and Translational Science, The Ohio State University, Columbus, USA – name: 19 Australian Centre for Ecogenomics, University of Queensland, Brisbane, Australia – name: 40 Department of Internal Medicine, Hospital del Mar, Instituto Municipal de Investigación Médica (IMIM), Red Temática de Investigación Cooperativa en Envejecimiento y Fragilidad (RETICEF), Universitat Autònoma de Barcelona (UAB), Barcelone, Spain – name: 93 Department of Medicine, University of Turku, Turku, Finland – name: 58 Department of Medicine, University of Cambridge, Cambridge, UK – name: 35 Department of Medicine, University of New South Wales, Sydney, Australia – name: 97 Wellcome Trust Sanger Institute, Hinxton, UK – name: 17 Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK – name: 71 Robertson Center for Biostatistics, University of Glasgow, Glasgow, United Kingdom – name: 8 Human Genetics Group, University of Queensland Diamantina Institute, Brisbane, Australia – name: 67 Department of Health Sciences, University of Jyväskylä, Jyväskylä, Finland – name: 60 Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands – name: 116 Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands – name: 5 Department of Hygiene and Epidemiology, University of Ioannina, Ioannina, Greece – name: 64 Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China – name: 91 Department of Medical Genetics, University of Antwerp, Antwerp, Belgium – name: 3 Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands – name: 38 Translational Genomics Research Institute, Phoenix, USA – name: 46 Ufa Scientific Centre of Russian Academy of Sciences, Institute of Biochemistry and Genetics, Ufa, Russia – name: 92 Department of Medicine, Turku University Hospital, Turku, Finland – name: 111 California Pacific Medical Center, San Francisco, CA, USA – name: 12 Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, USA – name: 78 Department of Clinical Physiology, University of Tampere School of Medicine, Tampere, Finland – name: 22 Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA – name: 33 Faculty of Medicine, University of Iceland, Reykjavik, Iceland – name: 104 Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, England – name: 14 Department of Biostatistics, Boston University School of Public Health, Boston, USA – name: 117 Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands – name: 105 Department of Clinical Biochemistry, Lovisenberg Deacon Hospital, Oslo, Norway – name: 1 Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands – name: 133 Framingham Heart Study, Framingham, USA – name: 76 Department of Internal Medicine, Hospital Universitario Marqués de Valdecilla and Instituto de Formación e Investigación Marqués de Valdecilla (IFIMAV), Santander, Spain – name: 13 Cardiovascular Health Research Unit, University of Washington, Seattle, USA – name: 41 Unité de recherche en génétique humaine et moléculaire, Centre de recherche du Centre hospitalier universitaire de Québec - Hôpital St-François-d’Assise (CHUQ/HSFA), Québec City, Canada – name: 32 Icelandic Heart Association, Kopavogur, Iceland – name: 106 Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway – name: 37 Department of Orthopaedic Surgery, Medical School University of Thessalia, Larissa, Greece – name: 21 Research Centre of Heart, Brain, Hormone and Healthy Aging, The University of Hong Kong, Hong Kong, China – name: 119 Department of Clinical Chemistry, University of Tampere School of Medicine, Tampere, Finland – name: 6 Institute for Aging Research, Hebrew SeniorLife, Boston, USA – name: 118 Department of Clinical Chemistry, Tampere University Hospital, Tampere, Finland – name: 88 Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands – name: 49 Department of Genetics and Biotechnology, Faculty of Biology, University of Athens, Athens, Greece – name: 70 Department of Nutrition and Dietetics, Harokopio University, Athens, Greece – name: 20 Department of Medicine, The University of Hong Kong, Hong Kong, China – name: 130 Geriatric Research and Education Clinical Center (GRECC), Veterans Administration Medical Center, Baltimore, MD, USA – name: 101 Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway – name: 77 Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland – name: 69 Center for Clinical and Basic Research (CCBR)-Synarc, Ballerup, Denmark – name: 39 Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, MD, USA – name: 95 Department of Human Genetics, McGill University, Montreal, Canada – name: 103 Department of Endocrinology and Metabolism, University Hospital, Reykjavik, Iceland – name: 66 Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland – name: 74 Department of Medicine, McGill University, Montreal, Canada – name: 79 Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences and Department of Orthopaedics, Lund University, Malmö, Sweden – name: 89 Department of Chemical Pathology, The Chinese University of Hong Kong, Hong Kong SAR, China – name: 131 Department of Preventive Medicine, University of Tennessee College of Medicine, Memphis, TN, USA – name: 53 Department of Internal Medicine, University of Florence, Florence, Italy – name: 42 Department of Public Health and Clinical Medicine, Umeå Unviersity, Umeå, Sweden – name: 98 Department of Orthopedic Surgery, Akureyri Hospital, Akureyri, Iceland – name: 108 Division of Genetics and Rheumatology, Brigham and Women’s Hospital, Harvard Medical School, Boston, United States – name: 126 Department of Medicine, University of Davis, Sacramento, CA, USA – name: 11 Medical Research Council (MRC) Centre for Causal Analyses in Translational Epidemiology, University of Bristol, Bristol, UK – name: 57 Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, USA – name: 80 Department of Internal Medicine, University of Manitoba, Winnipeg, Canada – name: 54 Department of Clinical Biochemistry, University of Ljubljana, Ljubljana, Slovenia – name: 61 Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands – name: 82 Extramuraal Geneeskundig Onderzoek (EMGO) Institute for Health and Care Research, Vrije Universiteit (VU) University Medical Center, Amsterdam, The Netherlands – name: 112 National Institute for Health and Research (NIHR) Musculoskeletal Biomedical Research Unit, University of Sheffield, Sheffield, UK – name: 84 Department of Pharmacology and Neuroscience, Umeå University, Umeå, Sweden – name: 99 Institution of Health Science, University Of Akureyri, Akureyri, Iceland – name: 86 Department of Molecular Biology, Medical Biochemistry and Pathology, Université Laval, Québec City, Canada – name: 110 Department of Epidemiology, University of Pittsburgh, Pittsburgh, USA – name: 113 Department of Internal Medicine, The Ohio State University, Columbus, USA – name: 90 Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China – name: 59 Department of Surgical and Perioperative Sciences, Umeå Unviersity, Umeå, Sweden – name: 129 Centre for Reproduction, Development and Growth, The University of Hong Kong, Hong Kong, China – name: 134 Departments of Medicine, Epidemiology and Health Services, University of Washington, Seattle, USA – name: 47 Biological Department, Bashkir State University, Ufa, Russia – name: 100 Department of Epidemiology and Biostatistics, Lady Davis Institute, McGill University, Montreal, Canada – name: 136 Medicine box 157, University of Cambridge, Cambridge, UK – name: 10 Rheumatic Diseases Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK – name: 63 Department of Epidemiology and Biostatistics, Extramuraal Geneeskundig Onderzoek (EMGO) Institute for Health and Care Research, Vrije Universiteit (VU) University Medical Center, Amsterdam, The Netherlands – name: 132 MRC Epidemiology Unit Box 285, Medical Research Council, Cambridge, UK – name: 15 Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA – name: 50 Department of Biochemistry and Experimental Medicine, The Children’s Memorial Health Institute, Warsaw, Poland – name: 96 McGill University and Genome Québec Innovation Centre, Montreal, Canada – name: 25 Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Perth, Australia – name: 120 Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC, USA – name: 27 MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine at the University of Edinburgh, Edinburgh, UK – name: 4 deCODE Genetics, Reykjavik, Iceland – name: 62 Department of Internal Medicine, Division of Endocrinology and Metabolism, Medical University Graz, Graz, Austria – name: 55 Department of Medical Genetics, University of British Columbia, Vancouver, Canada – name: 30 Department of Medical Rehabilitation, Oulu University Hospital and Institute of Health Sciences, Oulu, Finland |
| Author_xml | – sequence: 1 givenname: Karol surname: Estrada fullname: Estrada, Karol organization: Department of Internal Medicine, Erasmus Medical Center, Department of Epidemiology, Erasmus Medical Center, Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA) – sequence: 2 givenname: Unnur surname: Styrkarsdottir fullname: Styrkarsdottir, Unnur organization: deCODE Genetics – sequence: 3 givenname: Evangelos surname: Evangelou fullname: Evangelou, Evangelos organization: Department of Hygiene and Epidemiology, University of Ioannina School of Medicine – sequence: 4 givenname: Yi-Hsiang surname: Hsu fullname: Hsu, Yi-Hsiang organization: Institute for Aging Research, Hebrew SeniorLife, Department of Medicine, Harvard Medical School – sequence: 6 givenname: Evangelia E surname: Ntzani fullname: Ntzani, Evangelia E organization: Department of Hygiene and Epidemiology, University of Ioannina School of Medicine – sequence: 8 givenname: Omar M E surname: Albagha fullname: Albagha, Omar M E organization: Rheumatic Diseases Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh – sequence: 11 givenname: Daniel L surname: Koller fullname: Koller, Daniel L organization: Department of Medical and Molecular Genetics, Indiana University School of Medicine – sequence: 14 givenname: Ryan L surname: Minster fullname: Minster, Ryan L organization: Department of Human Genetics, University of Pittsburgh – sequence: 15 givenname: Alireza surname: Moayyeri fullname: Moayyeri, Alireza organization: Department of Public Health and Primary Care, University of Cambridge, Department of Twin Research and Genetic Epidemiology, King's College London – sequence: 16 givenname: Liesbeth surname: Vandenput fullname: Vandenput, Liesbeth organization: Centre for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg – sequence: 17 givenname: Dana surname: Willner fullname: Willner, Dana organization: Human Genetics Group, University of Queensland Diamantina Institute, Australian Centre for Ecogenomics, University of Queensland – sequence: 18 givenname: Su-Mei surname: Xiao fullname: Xiao, Su-Mei organization: Department of Medicine, The University of Hong Kong, Research Centre of Heart, Brain, Hormone and Healthy Aging, The University of Hong Kong – sequence: 20 givenname: Hou-Feng surname: Zheng fullname: Zheng, Hou-Feng organization: Department of Human Genetics, Lady Davis Institute, McGill University – sequence: 21 givenname: Nerea surname: Alonso fullname: Alonso, Nerea organization: Rheumatic Diseases Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh – sequence: 23 givenname: Candace M surname: Kammerer fullname: Kammerer, Candace M organization: Department of Human Genetics, University of Pittsburgh – sequence: 24 givenname: Stephen K surname: Kaptoge fullname: Kaptoge, Stephen K organization: Department of Public Health and Primary Care, University of Cambridge – sequence: 25 givenname: Paul J surname: Leo fullname: Leo, Paul J organization: Human Genetics Group, University of Queensland Diamantina Institute – sequence: 28 givenname: James F surname: Wilson fullname: Wilson, James F organization: Centre for Population Health Sciences, University of Edinburgh, MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh – sequence: 30 givenname: Markku surname: Alen fullname: Alen, Markku organization: Department of Medical Rehabilitation, Oulu University Hospital and Institute of Health Sciences – sequence: 32 givenname: Thor surname: Aspelund fullname: Aspelund, Thor organization: Icelandic Heart Association, Faculty of Medicine, University of Iceland – sequence: 33 givenname: Jacqueline R surname: Center fullname: Center, Jacqueline R organization: Osteoporosis and Bone Biology Program, Garvan Institute of Medical Research, Department of Medicine, University of New South Wales, Department of Endocrinology, St. Vincent's Hospital – sequence: 34 givenname: Zoe surname: Dailiana fullname: Dailiana, Zoe organization: Department of Orthopaedic Surgery, Medical School University of Thessalia – sequence: 35 givenname: David J surname: Duggan fullname: Duggan, David J organization: Translational Genomics Research Institute – sequence: 36 givenname: Melissa surname: Garcia fullname: Garcia, Melissa organization: Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging – sequence: 41 givenname: Lise Bjerre surname: Husted fullname: Husted, Lise Bjerre organization: Department of Endocrinology and Internal Medicine, Aarhus University Hospital – sequence: 42 givenname: Karen A surname: Jameson fullname: Jameson, Karen A organization: MRC Lifecourse Epidemiology Unit, University of Southampton – sequence: 44 givenname: Ghi Su surname: Kim fullname: Kim, Ghi Su organization: Division of Endocrinology and Metabolism, Asan Medical Center, University of Ulsan College of Medicine – sequence: 45 givenname: Charles surname: Kooperberg fullname: Kooperberg, Charles organization: Division of Public Health Sciences, Fred Hutchinson Cancer Research Center – sequence: 47 givenname: Marcin surname: Kruk fullname: Kruk, Marcin organization: Department of Biochemistry and Experimental Medicine, The Children's Memorial Health Institute – sequence: 48 givenname: Marika surname: Laaksonen fullname: Laaksonen, Marika organization: Department of Food and Environmental Sciences, University of Helsinki – sequence: 51 givenname: Ping C surname: Leung fullname: Leung, Ping C organization: Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong – sequence: 52 givenname: Joshua R surname: Lewis fullname: Lewis, Joshua R organization: School of Medicine and Pharmacology, University of Western Australia, Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital – sequence: 56 givenname: Xavier surname: Nogues fullname: Nogues, Xavier organization: Department of Internal Medicine, Hospital del Mar, Instituto Municipal de Investigación Médica (IMIM), Red Temática de Investigación Cooperativa en Envejecimiento y Fragilidad (RETICEF), Universitat Autònoma de Barcelona (UAB) – sequence: 58 givenname: Janez surname: Prezelj fullname: Prezelj, Janez organization: Department of Endocrinology, University Medical Center – sequence: 60 givenname: Serena surname: Scollen fullname: Scollen, Serena organization: Department of Medicine, University of Cambridge – sequence: 63 givenname: Olle surname: Svensson fullname: Svensson, Olle organization: Department of Surgical and Perioperative Sciences, Umeå Unviersity – sequence: 64 givenname: Stella surname: Trompet fullname: Trompet, Stella organization: Department of Cardiology, Leiden University Medical Center, Department of Gerontology and Geriatrics, Leiden University Medical Center – sequence: 67 givenname: Jean surname: Woo fullname: Woo, Jean organization: Department of Medicine and Therapeutics, The Chinese University of Hong Kong – sequence: 68 givenname: Kun surname: Zhu fullname: Zhu, Kun organization: School of Medicine and Pharmacology, University of Western Australia, Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital – sequence: 72 givenname: Sulin surname: Cheng fullname: Cheng, Sulin organization: Department of Health Sciences, University of Jyväskylä, Department of Orthopaedics and Traumatology, Kuopio University Hospital – sequence: 75 givenname: George surname: Dedoussis fullname: Dedoussis, George organization: Department of Nutrition and Dietetics, Harokopio University – sequence: 77 givenname: Morten surname: Frost fullname: Frost, Morten organization: Department of Endocrinology, Odense University Hospital, Clinical Institute, University of Southern Denmark – sequence: 78 givenname: David surname: Goltzman fullname: Goltzman, David organization: Department of Medicine, McGill University – sequence: 80 givenname: Mika surname: Kähönen fullname: Kähönen, Mika organization: Department of Clinical Physiology, Tampere University Hospital, Department of Clinical Physiology, University of Tampere School of Medicine – sequence: 81 givenname: Magnus surname: Karlsson fullname: Karlsson, Magnus organization: Department of Clinical Sciences, Clinical and Molecular Osteoporosis Research Unit, Lund University, Department of Orthopaedics, Lund University – sequence: 85 givenname: Bente Lomholt surname: Langdahl fullname: Langdahl, Bente Lomholt organization: Department of Endocrinology and Internal Medicine, Aarhus University Hospital – sequence: 87 givenname: Paul surname: Lips fullname: Lips, Paul organization: Department of Endocrinology, VU University Medical Center, Extramuraal Geneeskundig Onderzoek (EMGO) Institute for Health and Care Research, VU University Medical Center – sequence: 89 givenname: Roman S surname: Lorenc fullname: Lorenc, Roman S organization: Department of Biochemistry and Experimental Medicine, The Children's Memorial Health Institute – sequence: 91 givenname: Dan surname: Mellström fullname: Mellström, Dan organization: Centre for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg – sequence: 93 givenname: José M surname: Olmos fullname: Olmos, José M organization: Department of Medicine, University of Cantabria, Department of Internal Medicine, Hospital Universitario Marqués de Valdecilla and Instituto de Formación e Investigación Marqués de Valdecilla (IFIMAV) – sequence: 94 givenname: Ulrika surname: Pettersson-Kymmer fullname: Pettersson-Kymmer, Ulrika organization: Department of Pharmacology and Neuroscience, Umeå University – sequence: 96 givenname: José A surname: Riancho fullname: Riancho, José A organization: Department of Medicine, University of Cantabria, Department of Internal Medicine, Hospital Universitario Marqués de Valdecilla and Instituto de Formación e Investigación Marqués de Valdecilla (IFIMAV) – sequence: 97 givenname: Paul M surname: Ridker fullname: Ridker, Paul M organization: Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School – sequence: 98 givenname: François surname: Rousseau fullname: Rousseau, François organization: Unité de Recherche en Génétique Humaine et Moléculaire, Centre de Recherche du Centre Hospitalier Universitaire de Québec–Hôpital St-François-d'Assise (CHUQ-HSFA), Department of Molecular Biology, Medical Biochemistry and Pathology, Université Laval, The APOGEE-Net/CanGèneTest Network on Genetic Health Services and Policy, Université Laval – sequence: 99 givenname: P Eline S surname: lagboom fullname: lagboom, P Eline S organization: Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Department of Molecular Epidemiology, Leiden University Medical Center – sequence: 101 givenname: Roser surname: Urreizti fullname: Urreizti, Roser organization: Department of Genetics, University of Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Institut de Biomedicina de la Universitat de Barcelona (IBUB) – sequence: 104 givenname: María T surname: Zarrabeitia fullname: Zarrabeitia, María T organization: Department of Legal Medicine, University of Cantabria – sequence: 106 givenname: Martha surname: Castano-Betancourt fullname: Castano-Betancourt, Martha organization: Department of Internal Medicine, Erasmus Medical Center, Department of Epidemiology, Erasmus Medical Center, Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA) – sequence: 111 givenname: Tony surname: Kwan fullname: Kwan, Tony organization: Department of Human Genetics, McGill University, McGill University and Genome Québec Innovation Centre – sequence: 112 givenname: Rui surname: Li fullname: Li, Rui organization: Department of Epidemiology and Biostatistics, Lady Davis Institute, McGill University – sequence: 113 givenname: Robert surname: Luben fullname: Luben, Robert organization: Department of Public Health and Primary Care, University of Cambridge – sequence: 114 givenname: Carolina surname: Medina-Gómez fullname: Medina-Gómez, Carolina organization: Department of Internal Medicine, Erasmus Medical Center, Department of Epidemiology, Erasmus Medical Center – sequence: 115 givenname: Stefan surname: Th Palsson fullname: Th Palsson, Stefan organization: deCODE Genetics – sequence: 117 givenname: Jerome I surname: Rotter fullname: Rotter, Jerome I organization: Medical Genetics Institute, Cedars-Sinai Medical Center – sequence: 118 givenname: Gunnar surname: Sigurdsson fullname: Sigurdsson, Gunnar organization: Faculty of Medicine, University of Iceland, Department of Endocrinology and Metabolism, University Hospital – sequence: 119 givenname: Joyce B J surname: van Meurs fullname: van Meurs, Joyce B J organization: Department of Internal Medicine, Erasmus Medical Center, Department of Epidemiology, Erasmus Medical Center, Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA) – sequence: 121 givenname: Frances M K surname: Williams fullname: Williams, Frances M K organization: Department of Twin Research and Genetic Epidemiology, King's College London – sequence: 123 givenname: Yanhua surname: Zhou fullname: Zhou, Yanhua organization: Department of Biostatistics, Boston University School of Public Health – sequence: 125 givenname: Tomi surname: Pastinen fullname: Pastinen, Tomi organization: Department of Human Genetics, McGill University, McGill University and Genome Québec Innovation Centre, Department of Medical Genetics, McGill University Health Centre – sequence: 127 givenname: Jane A surname: Cauley fullname: Cauley, Jane A organization: Department of Epidemiology, University of Pittsburgh – sequence: 128 givenname: Daniel I surname: Chasman fullname: Chasman, Daniel I organization: Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School – sequence: 129 givenname: Graeme R surname: Clark fullname: Clark, Graeme R organization: Human Genetics Group, University of Queensland Diamantina Institute – sequence: 130 givenname: Steven R surname: Cummings fullname: Cummings, Steven R organization: California Pacific Medical Center – sequence: 133 givenname: Richard surname: Eastell fullname: Eastell, Richard organization: National Institute for Health and Research (NIHR), Musculoskeletal Biomedical Research Unit, University of Sheffield – sequence: 134 givenname: John A surname: Eisman fullname: Eisman, John A organization: Osteoporosis and Bone Biology Program, Garvan Institute of Medical Research, Department of Medicine, University of New South Wales, Department of Endocrinology, St. Vincent's Hospital – sequence: 136 givenname: Albert surname: Hofman fullname: Hofman, Albert organization: Department of Epidemiology, Erasmus Medical Center, Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA) – sequence: 139 givenname: J Wouter surname: Jukema fullname: Jukema, J Wouter organization: Department of Cardiology, Leiden University Medical Center, Durrer Center for Cardiogenetic Research, Interuniversity Cardiology Institute of the Netherlands – sequence: 140 givenname: Kay-Tee surname: Khaw fullname: Khaw, Kay-Tee organization: Department of Public Health and Primary Care, University of Cambridge – sequence: 141 givenname: Terho surname: Lehtimäki fullname: Lehtimäki, Terho organization: Department of Clinical Chemistry, Tampere University Hospital, Department of Clinical Chemistry, University of Tampere School of Medicine, Fimlab – sequence: 142 givenname: Yongmei surname: Liu fullname: Liu, Yongmei organization: Center for Human Genomics, Wake Forest University School of Medicine – sequence: 148 givenname: Ben A surname: Oostra fullname: Oostra, Ben A organization: Department of Clinical Genetics, Erasmus Medical Center – sequence: 150 givenname: Huibert A P surname: Pols fullname: Pols, Huibert A P organization: Department of Internal Medicine, Erasmus Medical Center, Department of Epidemiology, Erasmus Medical Center – sequence: 153 givenname: Ian R surname: Reid fullname: Reid, Ian R organization: Department of Medicine, University of Auckland – sequence: 154 givenname: John surname: Robbins fullname: Robbins, John organization: Department of Medicine, University of California, Davis, Sacramento, California, USA – sequence: 155 givenname: Philip N surname: Sambrook fullname: Sambrook, Philip N organization: Kolling Institute, Royal North Shore Hospital, University of Sydney – sequence: 156 givenname: Pak Chung surname: Sham fullname: Sham, Pak Chung organization: Department of Psychiatry, The University of Hong Kong, Centre for Reproduction, Development and Growth, The University of Hong Kong – sequence: 157 givenname: Alan R surname: Shuldiner fullname: Shuldiner, Alan R organization: Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Geriatric Research and Education Clinical Center (GRECC), Veterans Administration Medical Center – sequence: 159 givenname: Cornelia M surname: van Duijn fullname: van Duijn, Cornelia M organization: Department of Epidemiology, Erasmus Medical Center – sequence: 160 givenname: Nick J surname: Wareham fullname: Wareham, Nick J organization: MRC Epidemiology Unit Box 285, MRC – sequence: 162 givenname: Michael J surname: Econs fullname: Econs, Michael J organization: Department of Medical and Molecular Genetics, Indiana University School of Medicine, Department of Medicine, Indiana University School of Medicine – sequence: 164 givenname: Tamara B surname: Harris fullname: Harris, Tamara B organization: Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging – sequence: 165 givenname: Annie Wai Chee surname: Kung fullname: Kung, Annie Wai Chee organization: Department of Medicine, The University of Hong Kong, Research Centre of Heart, Brain, Hormone and Healthy Aging, The University of Hong Kong – sequence: 169 givenname: Elizabeth A surname: Streeten fullname: Streeten, Elizabeth A organization: Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Geriatric Research and Education Clinical Center (GRECC), Veterans Administration Medical Center – sequence: 171 givenname: Unnur surname: Thorsteinsdottir fullname: Thorsteinsdottir, Unnur organization: deCODE Genetics, Faculty of Medicine, University of Iceland – sequence: 173 givenname: David surname: Karasik fullname: Karasik, David organization: Institute for Aging Research, Hebrew SeniorLife, Department of Medicine, Harvard Medical School – sequence: 174 givenname: J Brent surname: Richards fullname: Richards, J Brent organization: Department of Twin Research and Genetic Epidemiology, King's College London, Department of Human Genetics, Lady Davis Institute, McGill University, Department of Epidemiology and Biostatistics, Lady Davis Institute, McGill University, Department of Medicine, Lady Davis Institute, McGill University – sequence: 175 givenname: Matthew A surname: Brown fullname: Brown, Matthew A organization: Human Genetics Group, University of Queensland Diamantina Institute – sequence: 178 givenname: Stuart H surname: Ralston fullname: Ralston, Stuart H organization: Rheumatic Diseases Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh – sequence: 179 givenname: John P A surname: Ioannidis fullname: Ioannidis, John P A organization: Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Stanford Prevention Research Center, Stanford University – sequence: 180 givenname: Douglas P surname: Kiel fullname: Kiel, Douglas P organization: Institute for Aging Research, Hebrew SeniorLife, Department of Medicine, Harvard Medical School |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25876526$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/22504420$$D View this record in MEDLINE/PubMed https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-54103$$DView record from Swedish Publication Index https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-176250$$DView record from Swedish Publication Index https://gup.ub.gu.se/publication/161420$$DView record from Swedish Publication Index |
| BookMark | eNqNlGtr1jAUgIso7qL4D6QgooKduTVNvwhj6hwMBl72NZymaZfZJjNpN_fvPe_27vJOB6OUtCfPuZ9kI3vsg7dZ9oKSLUq4-uD7LcZE_Shbp6WQBa2oeozfRNJCEC7Xso2UjgmhQhD1NFtjrCRCMLKene5aH0ZbnLnW5qOdoAAPw3lyKUeJn1znbMpLmTfoMB-dtxGGHHeSm87zIRiXg2_zaE8tDCmnYilLCReYbJufuekojy79ykOXdxHMNEf7LHvSIW-fL9fN7OeXzz92vhb7B7t7O9v7hVEVm4qOCzCsAstbRduq5Eo2HUDTEGBGsqozbQl1o2oJNSm5aSnItuKGl23HBGv5ZgaXdtOZPZkbfRLdCPFcB3D6JMQJBh1tshDNkR5mnaxGanAGJhd80nVrBGkF0Q3UVIumqTR0ZaO5bGzVSQwKQ9vMint99POJRlF_YZpKijVH_v29_Cd3uK1D7PU8a1pJbNMD8XHWpcBRQPzjJY7saFuDPcSOrSa-suPdke7DqeacKyUFGqCXBkyaDVbH2IjluFC8_lm8jFQMlWRNF07fLp3G8Hu2adKjS8YOA3gb5qQxMKFIzchDUEoY50RViL66gx6HOeJ4LihGqZKUsxuqh8Fq57uAaZmFUb3NlKqrmhOJ1NZ_KHxaOzqDs905lK8ovFtRQGayf6Ye5pT03vdvD2cPDlfZl7f7c92YqyOJwOslAMnAgCfGG5duuFJVsmTyZuxMDClF22njpou5xczcgCValF1p3-vF1YD8mzv8lcl_yWWLEhK-t_F23VfRv0JxcAg |
| CODEN | NGENEC |
| CitedBy_id | crossref_primary_10_3389_fgene_2019_00288 crossref_primary_10_1210_en_2014_1702 crossref_primary_10_1002_jbm4_10509 crossref_primary_10_1007_s00198_014_2865_4 crossref_primary_10_1016_j_lfs_2022_121158 crossref_primary_10_1016_j_bone_2013_12_034 crossref_primary_10_1038_nm_3074 crossref_primary_10_3389_fendo_2022_1020821 crossref_primary_10_1038_ng_3949 crossref_primary_10_1126_sciadv_aaw3538 crossref_primary_10_1002_jbmr_4104 crossref_primary_10_1038_s41598_019_49618_8 crossref_primary_10_1371_journal_pgen_1008805 crossref_primary_10_1016_j_jgg_2015_12_001 crossref_primary_10_1002_jbmr_2160 crossref_primary_10_1007_s40618_023_02179_0 crossref_primary_10_1016_j_bone_2015_07_011 crossref_primary_10_1038_ncomms10047 crossref_primary_10_1016_j_gene_2019_03_027 crossref_primary_10_1177_1759720X20929443 crossref_primary_10_1007_s00439_013_1364_6 crossref_primary_10_1007_s11010_021_04292_1 crossref_primary_10_1002_mgg3_248 crossref_primary_10_3390_jcm9010285 crossref_primary_10_1016_j_jocd_2019_09_005 crossref_primary_10_1136_jmedgenet_2013_102064 crossref_primary_10_1016_j_afos_2024_10_001 crossref_primary_10_1177_1535370218806828 crossref_primary_10_1016_j_bone_2018_05_012 crossref_primary_10_1002_jbm4_10741 crossref_primary_10_1038_s41598_025_93259_z crossref_primary_10_1371_journal_pmed_1003152 crossref_primary_10_1097_WCO_0000000000000603 crossref_primary_10_1111_jcmm_12505 crossref_primary_10_1210_jc_2017_02060 crossref_primary_10_1371_journal_pgen_1004423 crossref_primary_10_1302_2046_3758_512_BJR_2016_0073_R1 crossref_primary_10_1093_hmg_ddx174 crossref_primary_10_1371_journal_pone_0122676 crossref_primary_10_1002_jbmr_3038 crossref_primary_10_1507_endocrj_EJ15_0154 crossref_primary_10_3390_ijms20225525 crossref_primary_10_1002_jcb_24646 crossref_primary_10_1016_j_jocd_2017_06_021 crossref_primary_10_1210_er_2015_1106 crossref_primary_10_1111_cen_12187 crossref_primary_10_3390_nu16234146 crossref_primary_10_1016_j_coph_2014_05_003 crossref_primary_10_1002_jbmr_3032 crossref_primary_10_1007_s11914_021_00655_1 crossref_primary_10_1007_s00198_016_3738_9 crossref_primary_10_1016_j_bonr_2022_101525 crossref_primary_10_1007_s10067_018_4362_1 crossref_primary_10_1016_j_jbc_2023_102925 crossref_primary_10_1038_s41586_020_2853_0 crossref_primary_10_1038_s41431_017_0050_x crossref_primary_10_1210_clinem_dgab915 crossref_primary_10_1016_j_cels_2016_10_014 crossref_primary_10_3389_fendo_2022_985304 crossref_primary_10_1055_s_0034_1396046 crossref_primary_10_23868_202205002 crossref_primary_10_1146_annurev_genet_111212_133258 crossref_primary_10_1002_jbmr_3298 crossref_primary_10_1007_s00198_015_3087_0 crossref_primary_10_1002_jbm4_10791 crossref_primary_10_1002_jbmr_4147 crossref_primary_10_1111_joor_13326 crossref_primary_10_1186_s13059_019_1747_7 crossref_primary_10_1002_jbmr_4148 crossref_primary_10_1007_s11914_012_0110_7 crossref_primary_10_1097_BRS_0000000000002049 crossref_primary_10_3390_genes13010138 crossref_primary_10_1038_s41593_021_00803_x crossref_primary_10_3390_ijms221910834 crossref_primary_10_3390_ijms25168890 crossref_primary_10_3390_ijms241612895 crossref_primary_10_1016_j_aquaculture_2024_741658 crossref_primary_10_1507_endocrj_EJ14_0119 crossref_primary_10_1016_j_mce_2013_03_009 crossref_primary_10_1080_17446651_2022_2008238 crossref_primary_10_1093_bmb_ldu042 crossref_primary_10_7554_eLife_90949_3 crossref_primary_10_1093_hmg_ddw289 crossref_primary_10_1016_j_bone_2020_115792 crossref_primary_10_1038_nrendo_2014_51 crossref_primary_10_1302_2046_3758_610_BJR_2017_0113_R1 crossref_primary_10_7554_eLife_84171 crossref_primary_10_1016_j_ajhg_2014_03_004 crossref_primary_10_1002_humu_23216 crossref_primary_10_1002_jbm4_10335 crossref_primary_10_1371_journal_pone_0167742 crossref_primary_10_1016_j_gene_2016_11_006 crossref_primary_10_1371_journal_pone_0140260 crossref_primary_10_1016_j_beem_2018_02_006 crossref_primary_10_1016_j_csda_2021_107379 crossref_primary_10_1016_j_bone_2013_10_019 crossref_primary_10_1371_journal_pone_0150070 crossref_primary_10_1016_j_bone_2013_10_015 crossref_primary_10_1038_nature14132 crossref_primary_10_1038_srep40940 crossref_primary_10_1038_s41598_021_82736_w crossref_primary_10_1093_ajcn_nqy272 crossref_primary_10_3390_genes13020183 crossref_primary_10_1007_s00198_020_05635_2 crossref_primary_10_1038_s41598_017_01579_6 crossref_primary_10_1097_BOR_0b013e328361ff8c crossref_primary_10_1155_2014_842452 crossref_primary_10_1002_jbmr_3063 crossref_primary_10_1016_j_cmet_2021_01_001 crossref_primary_10_3389_fendo_2019_00337 crossref_primary_10_1146_annurev_genom_090314_050016 crossref_primary_10_3389_fgene_2021_728563 crossref_primary_10_1002_jbmr_2558 crossref_primary_10_1530_EJE_22_0526 crossref_primary_10_1038_s41467_021_25124_2 crossref_primary_10_1002_jbmr_3412 crossref_primary_10_1007_s11684_020_0748_y crossref_primary_10_1016_j_stemcr_2014_05_019 crossref_primary_10_1016_j_beem_2014_07_004 crossref_primary_10_1093_rheumatology_keu162 crossref_primary_10_1371_journal_pgen_1009293 crossref_primary_10_1007_s11682_013_9269_5 crossref_primary_10_3389_fendo_2020_00243 crossref_primary_10_1002_ece3_2985 crossref_primary_10_1002_jbmr_2314 crossref_primary_10_1109_TCBB_2019_2930505 crossref_primary_10_1530_ERC_15_0319 crossref_primary_10_1002_jbmr_4516 crossref_primary_10_1016_j_ymgmr_2014_03_004 crossref_primary_10_1016_j_bone_2016_03_016 crossref_primary_10_1016_j_beem_2018_03_005 crossref_primary_10_1371_journal_pcbi_1004714 crossref_primary_10_1002_jbmr_2342 crossref_primary_10_1007_s00439_020_02155_1 crossref_primary_10_1002_ame2_12319 crossref_primary_10_1007_s12020_012_9804_y crossref_primary_10_1007_s11914_023_00812_8 crossref_primary_10_1530_JOE_16_0258 crossref_primary_10_1080_13697137_2018_1538339 crossref_primary_10_1097_COH_0000000000000134 crossref_primary_10_1093_hmg_ddv143 crossref_primary_10_1093_hmg_ddv144 crossref_primary_10_1016_j_psj_2024_103515 crossref_primary_10_1002_jbmr_3419 crossref_primary_10_1007_s11914_023_00778_7 crossref_primary_10_1111_ahg_12247 crossref_primary_10_1371_journal_pgen_1010496 crossref_primary_10_3390_cells11203277 crossref_primary_10_3390_jcm9020499 crossref_primary_10_1007_s00223_016_0144_4 crossref_primary_10_1155_2020_8855423 crossref_primary_10_1371_journal_pone_0162466 crossref_primary_10_20960_RevOsteoporosMetabMiner_00014 crossref_primary_10_3389_fendo_2016_00141 crossref_primary_10_1371_journal_pgen_1003796 crossref_primary_10_1016_j_csda_2020_107040 crossref_primary_10_1371_journal_pone_0104587 crossref_primary_10_1038_s41413_020_0101_8 crossref_primary_10_1210_clinem_dgad254 crossref_primary_10_1158_1940_6207_CAPR_22_0523 crossref_primary_10_1111_ahg_12235 crossref_primary_10_1002_jbmr_3698 crossref_primary_10_1371_journal_pone_0154833 crossref_primary_10_1007_s00198_018_4573_y crossref_primary_10_1186_s12263_016_0538_y crossref_primary_10_3389_fgene_2018_00267 crossref_primary_10_1080_09513590_2019_1613641 crossref_primary_10_1038_ng_3063 crossref_primary_10_1007_s11914_014_0209_0 crossref_primary_10_1093_jmcb_mjx059 crossref_primary_10_1371_journal_pone_0160034 crossref_primary_10_20960_RevOsteoporosMetabMiner_00008 crossref_primary_10_1007_s00198_019_04958_z crossref_primary_10_1016_j_gene_2013_09_080 crossref_primary_10_1016_j_bone_2018_06_001 crossref_primary_10_1002_jbm4_10386 crossref_primary_10_2106_JBJS_M_00398 crossref_primary_10_1002_jbmr_3681 crossref_primary_10_1371_journal_pgen_1005728 crossref_primary_10_1038_nm_3654 crossref_primary_10_1038_s41413_020_00120_2 crossref_primary_10_7554_eLife_94970_3 crossref_primary_10_1038_nn_4398 crossref_primary_10_1016_j_ajhg_2017_12_005 crossref_primary_10_1016_j_yexmp_2013_10_014 crossref_primary_10_1093_hmg_ddu264 crossref_primary_10_1007_s11914_021_00684_w crossref_primary_10_1002_jbmr_4323 crossref_primary_10_1007_s00223_014_9935_7 crossref_primary_10_1038_nrrheum_2013_121 crossref_primary_10_1016_j_bone_2013_12_010 crossref_primary_10_1002_jbmr_4327 crossref_primary_10_1002_jbmr_4569 crossref_primary_10_1210_clinem_dgz270 crossref_primary_10_1038_srep22223 crossref_primary_10_1186_s13059_020_02207_9 crossref_primary_10_1002_jbmr_2381 crossref_primary_10_1530_JOE_18_0020 crossref_primary_10_1002_edm2_440 crossref_primary_10_5808_GI_2014_12_3_114 crossref_primary_10_1016_j_gene_2018_07_061 crossref_primary_10_1007_s11914_023_00821_7 crossref_primary_10_1007_s11154_023_09860_y crossref_primary_10_1038_bonekey_2015_2 crossref_primary_10_1093_jbmrpl_ziae028 crossref_primary_10_1002_jbmr_4554 crossref_primary_10_1038_nrendo_2012_252 crossref_primary_10_3390_pharmaceutics14040776 crossref_primary_10_1002_jbmr_4795 crossref_primary_10_1093_ije_dyab251 crossref_primary_10_1038_s41390_020_0897_3 crossref_primary_10_1038_s41467_022_28318_4 crossref_primary_10_1038_srep45317 crossref_primary_10_1002_pbc_26198 crossref_primary_10_1038_s41598_018_21718_x crossref_primary_10_1038_s41413_021_00143_3 crossref_primary_10_1038_nrclinonc_2013_169 crossref_primary_10_1172_JCI73072 crossref_primary_10_1002_jbmr_2833 crossref_primary_10_3389_fgene_2019_00722 crossref_primary_10_3390_ijms252413594 crossref_primary_10_1007_s00223_019_00629_7 crossref_primary_10_1093_infdis_jiae016 crossref_primary_10_11005_jbm_2016_23_4_233 crossref_primary_10_3390_ijms21197080 crossref_primary_10_1111_bcp_13803 crossref_primary_10_1002_jbmr_2841 crossref_primary_10_1007_s00223_020_00682_7 crossref_primary_10_5808_GI_2016_14_4_216 crossref_primary_10_1016_j_jbspin_2016_11_014 crossref_primary_10_1080_09513590_2017_1323205 crossref_primary_10_5808_GI_2016_14_2_62 crossref_primary_10_1016_j_bone_2015_03_003 crossref_primary_10_1016_j_bbrc_2015_06_102 crossref_primary_10_1681_ASN_2016010069 crossref_primary_10_1007_s00198_015_3379_4 crossref_primary_10_1007_s12010_024_05132_w crossref_primary_10_1007_s11657_019_0631_0 crossref_primary_10_1016_j_joca_2017_09_006 crossref_primary_10_1093_infdis_jiad179 crossref_primary_10_3389_fendo_2023_1107511 crossref_primary_10_1007_s11914_021_00680_0 crossref_primary_10_1038_bonekey_2013_132 crossref_primary_10_1210_clinem_dgac597 crossref_primary_10_1016_j_afos_2017_06_001 crossref_primary_10_1007_s00774_019_01014_y crossref_primary_10_1016_j_bone_2025_117472 crossref_primary_10_1038_ejhg_2015_244 crossref_primary_10_3389_fendo_2019_00070 crossref_primary_10_1371_journal_pone_0146072 crossref_primary_10_1016_j_jos_2022_12_014 crossref_primary_10_1038_bonekey_2012_114 crossref_primary_10_1007_s00125_021_05410_w crossref_primary_10_1007_s10654_016_0192_0 crossref_primary_10_1016_j_celrep_2020_108145 crossref_primary_10_1002_jbmr_3703 crossref_primary_10_7554_eLife_77285 crossref_primary_10_3389_fendo_2019_00277 crossref_primary_10_1038_s41467_024_47802_7 crossref_primary_10_1007_s00439_016_1672_8 crossref_primary_10_1016_j_jhevol_2022_103183 crossref_primary_10_1210_clinem_dgac147 crossref_primary_10_1111_cge_13081 crossref_primary_10_1002_oby_23604 crossref_primary_10_1038_ng_3045 crossref_primary_10_1007_s00223_013_9824_5 crossref_primary_10_1038_s41467_017_00108_3 crossref_primary_10_1002_cbf_3415 crossref_primary_10_3389_fcell_2023_1120365 crossref_primary_10_1002_jbmr_1997 crossref_primary_10_1002_jbmr_2604 crossref_primary_10_1093_jbmr_zjae002 crossref_primary_10_1093_hmg_ddab305 crossref_primary_10_3389_fcell_2020_00194 crossref_primary_10_1210_er_2018_00050 crossref_primary_10_2147_JIR_S323435 crossref_primary_10_1007_s00439_022_02463_8 crossref_primary_10_1186_1479_7364_7_21 crossref_primary_10_1371_journal_pone_0072740 crossref_primary_10_1016_j_job_2018_03_001 crossref_primary_10_1038_srep30558 crossref_primary_10_1038_s42003_023_04869_0 crossref_primary_10_1002_jbmr_1788 crossref_primary_10_1371_journal_pone_0080165 crossref_primary_10_1007_s00198_019_05244_8 crossref_primary_10_1007_s00198_016_3806_1 crossref_primary_10_1007_s00223_016_0225_4 crossref_primary_10_1002_jbmr_1796 crossref_primary_10_1016_j_bone_2017_06_016 crossref_primary_10_1038_bonekey_2013_181 crossref_primary_10_1007_s12018_016_9226_0 crossref_primary_10_1007_s00198_015_3440_3 crossref_primary_10_1007_s00198_013_2354_1 crossref_primary_10_7705_biomedica_v38i3_4014 crossref_primary_10_3389_fmolb_2025_1545109 crossref_primary_10_1002_ajmg_b_32695 crossref_primary_10_1093_jbmr_zjae022 crossref_primary_10_1002_jbmr_3956 crossref_primary_10_1007_s00198_023_06857_w crossref_primary_10_1002_jbmr_2872 crossref_primary_10_1097_NNR_0000000000000202 crossref_primary_10_7554_eLife_68610 crossref_primary_10_1038_ng_3211 crossref_primary_10_1016_j_gene_2013_12_054 crossref_primary_10_7554_eLife_55549 crossref_primary_10_1093_hmg_ddt575 crossref_primary_10_1016_j_bcp_2015_02_005 crossref_primary_10_1038_s41598_017_00641_7 crossref_primary_10_1038_s41431_020_00727_3 crossref_primary_10_1002_jbmr_3989 crossref_primary_10_1038_s41588_024_01934_0 crossref_primary_10_1093_cvr_cvad124 crossref_primary_10_1016_j_jvs_2012_11_092 crossref_primary_10_1016_j_ecl_2016_09_014 crossref_primary_10_1042_BSR20181481 crossref_primary_10_1007_s00198_019_04839_5 crossref_primary_10_1038_s41467_021_26571_7 crossref_primary_10_1007_s11010_015_2510_3 crossref_primary_10_1111_jre_12464 crossref_primary_10_3390_genes12050702 crossref_primary_10_1007_s00198_012_2059_x crossref_primary_10_1038_nrg3472 crossref_primary_10_1038_bonekey_2012_162 crossref_primary_10_1111_cts_12522 crossref_primary_10_1038_s41598_018_25272_4 crossref_primary_10_7554_eLife_64237 crossref_primary_10_1371_journal_pone_0286689 crossref_primary_10_1038_nrg3228 crossref_primary_10_1007_s00247_020_04837_4 crossref_primary_10_1016_j_actbio_2014_09_006 crossref_primary_10_3390_genes13101892 crossref_primary_10_3389_fphar_2024_1388205 crossref_primary_10_1016_j_bone_2020_115295 crossref_primary_10_1007_s00774_015_0718_7 crossref_primary_10_1038_cr_2016_69 crossref_primary_10_1038_bonekey_2015_36 crossref_primary_10_1007_s00198_013_2443_1 crossref_primary_10_1016_j_trsl_2016_10_009 crossref_primary_10_1007_s00223_021_00809_4 crossref_primary_10_18632_oncotarget_20393 crossref_primary_10_1007_s00394_018_1665_6 crossref_primary_10_1210_jc_2012_2863 crossref_primary_10_2217_pgs_14_12 crossref_primary_10_1136_annrheumdis_2013_204835 crossref_primary_10_1371_journal_pgen_1005378 crossref_primary_10_1002_mgg3_1391 crossref_primary_10_1002_jbmr_3097 crossref_primary_10_2217_pgs_13_9 crossref_primary_10_1515_iss_2016_0025 crossref_primary_10_1073_pnas_1719089115 crossref_primary_10_1038_s41598_018_25065_9 crossref_primary_10_1038_s41598_021_85415_y crossref_primary_10_1210_clinem_dgaa572 crossref_primary_10_1038_nature14878 crossref_primary_10_1038_nature13545 crossref_primary_10_1002_bies_202400090 crossref_primary_10_1016_j_bone_2014_11_011 crossref_primary_10_2119_molmed_2015_00232 crossref_primary_10_1038_nrrheum_2013_45 crossref_primary_10_1038_s42255_024_01133_5 crossref_primary_10_1038_ijos_2015_22 crossref_primary_10_14341_probl13421 crossref_primary_10_3390_genes13020279 crossref_primary_10_1038_tpj_2015_92 crossref_primary_10_1093_ofid_ofw101 crossref_primary_10_3389_fendo_2021_731217 crossref_primary_10_1126_scitranslmed_adj0085 crossref_primary_10_1038_bonekey_2014_119 crossref_primary_10_1007_s00223_024_01301_5 crossref_primary_10_1007_s00421_018_4007_8 crossref_primary_10_1038_bonekey_2015_137 crossref_primary_10_1210_en_2015_1281 crossref_primary_10_1007_s00198_016_3591_x crossref_primary_10_1007_s00774_016_0808_1 crossref_primary_10_1111_cen_12335 crossref_primary_10_1093_bioinformatics_btu416 crossref_primary_10_1016_j_xcrm_2022_100776 crossref_primary_10_1186_s12864_016_2481_0 crossref_primary_10_1038_bonekey_2015_143 crossref_primary_10_1038_s41420_021_00668_w crossref_primary_10_3389_fendo_2021_692677 crossref_primary_10_1038_nrrheum_2015_48 crossref_primary_10_1007_s00223_020_00734_y crossref_primary_10_1530_JME_18_0173 crossref_primary_10_1038_s42003_019_0537_9 crossref_primary_10_1210_jc_2013_3249 crossref_primary_10_1016_j_trsl_2016_11_004 crossref_primary_10_1038_s41598_017_18375_x crossref_primary_10_1038_ncomms10129 crossref_primary_10_1136_ard_2022_223468 crossref_primary_10_1007_s11914_023_00783_w crossref_primary_10_1007_s00439_017_1825_4 crossref_primary_10_1016_j_bone_2020_115247 crossref_primary_10_1111_jgh_14149 crossref_primary_10_1073_pnas_1907982116 crossref_primary_10_1007_s40618_014_0149_7 crossref_primary_10_1186_ar4516 crossref_primary_10_1093_bioinformatics_btw613 crossref_primary_10_1007_s00223_017_0308_x crossref_primary_10_1016_j_clinbiochem_2013_03_011 crossref_primary_10_1210_jc_2013_1055 crossref_primary_10_1016_j_mce_2015_12_021 crossref_primary_10_1210_jc_2013_3238 crossref_primary_10_1371_journal_pgen_1006260 crossref_primary_10_1097_JSM_0000000000000158 crossref_primary_10_1111_anzs_12370 crossref_primary_10_1159_000438900 crossref_primary_10_1016_j_bone_2015_05_030 crossref_primary_10_1002_pmic_201500005 crossref_primary_10_1186_s13059_020_01997_2 crossref_primary_10_1210_jendso_bvaa148 crossref_primary_10_1016_j_ajhg_2018_03_001 crossref_primary_10_1002_jbmr_1723 crossref_primary_10_1016_j_bone_2013_02_014 crossref_primary_10_1016_j_bone_2018_01_001 crossref_primary_10_3390_ijms20184653 crossref_primary_10_1038_ng_2554 crossref_primary_10_1038_s41401_019_0219_7 crossref_primary_10_1152_ajpendo_00292_2017 crossref_primary_10_1186_s12891_024_07430_0 crossref_primary_10_1097_MOG_0000000000000037 crossref_primary_10_3390_nu11010004 crossref_primary_10_1002_jbmr_1955 crossref_primary_10_1007_s40259_017_0229_2 crossref_primary_10_1021_acscentsci_3c00243 crossref_primary_10_1038_bonekey_2015_83 crossref_primary_10_1210_clinem_dgaa319 crossref_primary_10_1038_bonekey_2015_82 crossref_primary_10_1007_s00198_018_4546_1 crossref_primary_10_1007_s00198_015_3457_7 crossref_primary_10_1016_j_cell_2018_07_029 crossref_primary_10_1371_journal_pone_0097428 crossref_primary_10_1182_blood_2020010342 crossref_primary_10_1016_j_bone_2014_05_001 crossref_primary_10_3390_genes12020200 crossref_primary_10_1038_s41598_019_42606_y crossref_primary_10_1002_cpt_2477 crossref_primary_10_1038_aps_2016_28 crossref_primary_10_62347_KKAM3344 crossref_primary_10_1111_biom_13636 crossref_primary_10_1016_j_ajhg_2013_02_010 crossref_primary_10_1002_jbmr_2286 crossref_primary_10_1210_jc_2018_02614 crossref_primary_10_1007_s00296_017_3783_5 crossref_primary_10_1109_TCBB_2017_2780106 crossref_primary_10_1016_j_ijpsycho_2016_07_516 crossref_primary_10_1007_s00223_019_00546_9 crossref_primary_10_1186_s12916_020_01515_y crossref_primary_10_1002_jbmr_4220 crossref_primary_10_3389_fgene_2020_00060 crossref_primary_10_1007_s10654_013_9866_z crossref_primary_10_1038_s42003_021_02861_0 crossref_primary_10_1371_journal_pone_0088533 crossref_primary_10_1186_s12887_021_02537_y crossref_primary_10_1007_s00223_019_00633_x crossref_primary_10_1002_jbmr_3362 crossref_primary_10_1007_s00198_021_06190_0 crossref_primary_10_1007_s11914_023_00831_5 crossref_primary_10_3389_fcimb_2022_812596 crossref_primary_10_1007_s00223_021_00827_2 crossref_primary_10_4248_BR201304001 crossref_primary_10_1016_j_bonr_2016_08_005 crossref_primary_10_1136_bjsports_2020_102373 crossref_primary_10_1080_15592294_2017_1345832 crossref_primary_10_1016_j_bonr_2021_101118 crossref_primary_10_1007_s00198_025_07413_4 crossref_primary_10_1038_jhg_2013_35 crossref_primary_10_1155_2016_9295383 crossref_primary_10_3389_fendo_2020_00532 crossref_primary_10_1002_jbmr_3154 crossref_primary_10_1038_ng_3609 crossref_primary_10_1002_jbm4_10411 crossref_primary_10_7554_eLife_90949 crossref_primary_10_1002_jbmr_4240 crossref_primary_10_1001_jamaophthalmol_2019_2058 crossref_primary_10_1002_jbmr_3153 crossref_primary_10_1111_odi_12185 crossref_primary_10_1016_j_berh_2022_101791 crossref_primary_10_1093_hmg_ddx285 crossref_primary_10_1038_s10038_020_00835_4 crossref_primary_10_1002_jbmr_2056 crossref_primary_10_1002_jbmr_3148 crossref_primary_10_1016_j_ajhg_2021_11_018 crossref_primary_10_1002_jbmr_4236 crossref_primary_10_1007_s00439_015_1621_y crossref_primary_10_1038_nrd4051 crossref_primary_10_1136_bjsports_2013_093218 crossref_primary_10_1001_jamaneurol_2018_0605 crossref_primary_10_1007_s11825_019_00273_4 crossref_primary_10_1007_s00439_019_01971_4 crossref_primary_10_3390_cells12040515 crossref_primary_10_56373_2013_2_12 crossref_primary_10_1016_j_jocd_2015_08_011 crossref_primary_10_1016_j_jocd_2015_08_012 crossref_primary_10_1002_jbm4_10675 crossref_primary_10_1007_s12020_020_02248_x crossref_primary_10_1080_09513590_2020_1804548 crossref_primary_10_1210_endrev_bnab015 crossref_primary_10_1002_jbmr_2086 crossref_primary_10_1038_s42003_024_06995_9 crossref_primary_10_1136_postgradmedj_2021_139722 crossref_primary_10_2217_pgs_2018_0169 crossref_primary_10_1016_j_neuron_2021_05_003 crossref_primary_10_1007_s13577_022_00798_y crossref_primary_10_1016_j_bone_2016_08_004 crossref_primary_10_1038_pr_2016_44 crossref_primary_10_3390_nu11112804 crossref_primary_10_1016_j_bone_2017_03_041 crossref_primary_10_1016_j_bone_2021_115937 crossref_primary_10_1371_journal_pone_0144531 crossref_primary_10_1002_jbm4_10423 crossref_primary_10_1007_s00198_020_05403_2 crossref_primary_10_3389_fendo_2020_556610 crossref_primary_10_1111_acel_12490 crossref_primary_10_1111_jcmm_13991 crossref_primary_10_1007_s12020_022_03225_2 crossref_primary_10_1007_s11914_015_0260_5 crossref_primary_10_1016_j_cmet_2013_06_013 crossref_primary_10_3389_fgene_2022_1009428 crossref_primary_10_1016_j_bone_2017_03_052 crossref_primary_10_1016_j_yrtph_2020_104697 crossref_primary_10_1016_j_bone_2014_06_035 crossref_primary_10_1038_ng_3801 crossref_primary_10_1093_hmg_ddab181 crossref_primary_10_1016_j_mehy_2016_11_007 crossref_primary_10_1016_j_cdev_2024_203924 crossref_primary_10_1038_s41467_018_07862_y crossref_primary_10_1007_s00223_017_0342_8 crossref_primary_10_1155_2017_5831020 crossref_primary_10_1371_journal_pgen_1003247 crossref_primary_10_1073_pnas_1520408112 crossref_primary_10_1093_bioinformatics_btw595 crossref_primary_10_1016_j_spacepol_2019_02_001 crossref_primary_10_1371_journal_pone_0088565 crossref_primary_10_1016_j_bonr_2017_04_001 crossref_primary_10_1016_j_bonr_2016_07_001 crossref_primary_10_1002_JPER_22_0249 crossref_primary_10_1002_jbmr_2093 crossref_primary_10_1002_jbmr_4270 crossref_primary_10_3390_jcm11236978 crossref_primary_10_3389_fendo_2022_1037546 crossref_primary_10_1515_cclm_2017_0838 crossref_primary_10_5301_je_5000273 crossref_primary_10_1038_s41467_017_00031_7 crossref_primary_10_1089_gtmb_2017_0204 crossref_primary_10_1136_annrheumdis_2017_212469 crossref_primary_10_1007_s00018_016_2425_5 crossref_primary_10_1016_j_cjca_2016_10_029 crossref_primary_10_1371_journal_pone_0193323 crossref_primary_10_1371_journal_pone_0173045 crossref_primary_10_1093_hmg_ddv492 crossref_primary_10_1371_journal_pone_0277495 crossref_primary_10_1371_journal_pone_0312583 crossref_primary_10_1002_art_40928 crossref_primary_10_1002_jbmr_2687 crossref_primary_10_1007_s00774_017_0892_x crossref_primary_10_1530_EJE_13_1009 crossref_primary_10_1210_jc_2017_01719 crossref_primary_10_1038_s43587_024_00639_7 crossref_primary_10_1016_j_cell_2016_09_037 crossref_primary_10_1016_j_blre_2013_08_002 crossref_primary_10_1517_17425255_2016_1154533 crossref_primary_10_1186_s12711_016_0191_3 crossref_primary_10_1080_17446651_2021_1924672 crossref_primary_10_1038_bonekey_2012_194 crossref_primary_10_1371_journal_pone_0176530 crossref_primary_10_1007_s00109_023_02412_6 crossref_primary_10_1159_000439566 crossref_primary_10_3389_fgene_2020_00004 crossref_primary_10_1136_heartjnl_2018_314552 crossref_primary_10_1016_j_archoralbio_2013_02_013 crossref_primary_10_3389_fgene_2020_00006 crossref_primary_10_1007_s11914_012_0113_4 crossref_primary_10_1111_1440_1681_12161 crossref_primary_10_1002_jimd_12097 crossref_primary_10_1002_oby_20975 crossref_primary_10_1002_cncr_34252 crossref_primary_10_1186_s12881_018_0684_8 crossref_primary_10_1002_art_37753 crossref_primary_10_1002_jbmr_4868 crossref_primary_10_1007_s00774_014_0645_z crossref_primary_10_1186_s12862_017_0978_z crossref_primary_10_1002_jbm4_10241 crossref_primary_10_1002_jbmr_3300 crossref_primary_10_1038_ejcn_2017_8 crossref_primary_10_1038_nmeth_3799 crossref_primary_10_1002_jbmr_4632 crossref_primary_10_1038_s41576_021_00387_z crossref_primary_10_1038_s41390_024_03588_4 crossref_primary_10_1007_s11357_014_9635_2 crossref_primary_10_1007_s00198_016_3663_y crossref_primary_10_1007_s00335_016_9650_y crossref_primary_10_1056_NEJMoa1308223 crossref_primary_10_1186_s13075_023_03213_5 crossref_primary_10_1002_prca_201400167 crossref_primary_10_1007_s00198_014_2882_3 crossref_primary_10_1093_bib_bbz108 crossref_primary_10_1016_j_tig_2018_10_004 crossref_primary_10_1093_hmg_ddv210 crossref_primary_10_1186_1471_2156_14_107 crossref_primary_10_1002_jbmr_2000 crossref_primary_10_1002_humu_23959 crossref_primary_10_1002_jbmr_2001 crossref_primary_10_1007_s00508_016_1125_3 crossref_primary_10_1371_journal_pone_0094607 crossref_primary_10_1371_journal_pone_0090240 crossref_primary_10_1210_jc_2014_1584 crossref_primary_10_1111_nyas_13945 crossref_primary_10_1111_nbu_12322 crossref_primary_10_3389_fgene_2019_00110 crossref_primary_10_1186_s12864_015_2213_x crossref_primary_10_3389_fendo_2020_00165 crossref_primary_10_1002_jbmr_3320 crossref_primary_10_1016_j_advms_2020_05_001 crossref_primary_10_1038_bonekey_2014_3 crossref_primary_10_1002_jbm4_10020 crossref_primary_10_1155_2014_373765 crossref_primary_10_1016_j_sjbs_2020_04_011 crossref_primary_10_1007_s00198_023_06852_1 crossref_primary_10_12680_balneo_2019_264 crossref_primary_10_1016_j_tig_2014_07_004 crossref_primary_10_1093_hmg_ddu386 crossref_primary_10_1038_s41467_019_09304_9 crossref_primary_10_1007_s10654_015_0082_x crossref_primary_10_1016_j_jhevol_2021_102964 crossref_primary_10_1371_journal_pone_0121811 crossref_primary_10_1042_BSR20193185 crossref_primary_10_1093_hmg_ddw320 crossref_primary_10_1152_physrev_00033_2015 crossref_primary_10_1016_j_bone_2012_10_004 crossref_primary_10_1016_j_ijpp_2021_05_001 crossref_primary_10_1002_jbmr_2263 crossref_primary_10_1093_jbmrpl_ziae159 crossref_primary_10_1186_s40246_021_00343_2 crossref_primary_10_1002_jbmr_3358 crossref_primary_10_1016_j_jpeds_2016_09_056 crossref_primary_10_1016_j_biocel_2015_05_008 crossref_primary_10_1016_j_bonr_2024_101750 crossref_primary_10_1186_1471_2474_15_400 crossref_primary_10_1038_nrendo_2013_171 crossref_primary_10_1586_17446651_2014_936385 crossref_primary_10_3803_EnM_2020_735 crossref_primary_10_1007_s11657_018_0480_2 crossref_primary_10_1016_S2542_5196_17_30143_2 crossref_primary_10_1136_jmedgenet_2013_101754 crossref_primary_10_1016_j_bone_2017_04_012 crossref_primary_10_1093_glycob_cwy015 crossref_primary_10_1111_joim_12366 crossref_primary_10_1111_joim_12368 crossref_primary_10_1007_s10552_024_01926_9 crossref_primary_10_1371_journal_pone_0140549 crossref_primary_10_1016_j_jsams_2017_10_038 crossref_primary_10_3389_fendo_2018_00380 crossref_primary_10_1371_journal_pone_0200785 crossref_primary_10_1007_s00109_012_0974_0 crossref_primary_10_1210_jc_2016_2936 crossref_primary_10_1007_s00439_020_02250_3 crossref_primary_10_3389_fgene_2018_00193 crossref_primary_10_1038_nrdp_2016_69 crossref_primary_10_1038_s41467_019_09302_x crossref_primary_10_1038_s41467_018_05428_6 crossref_primary_10_1038_nrg_2017_101 crossref_primary_10_1002_jbmr_3803 crossref_primary_10_1038_s41598_020_72870_2 crossref_primary_10_1371_journal_pgen_1008123 crossref_primary_10_1038_s41467_021_23649_0 crossref_primary_10_11005_jbm_2014_21_2_99 crossref_primary_10_1016_j_diff_2013_07_003 crossref_primary_10_1371_journal_pone_0319259 crossref_primary_10_18632_oncotarget_8948 crossref_primary_10_1038_bonekey_2012_220 crossref_primary_10_1016_j_tem_2016_03_006 crossref_primary_10_1530_EJE_16_0990 crossref_primary_10_1111_bjh_19696 crossref_primary_10_1093_jbmr_zjad011 crossref_primary_10_3389_fendo_2019_00184 crossref_primary_10_1016_j_gene_2018_06_079 crossref_primary_10_1111_jcpe_13051 crossref_primary_10_1016_j_beem_2014_05_003 crossref_primary_10_1038_s41574_019_0282_7 crossref_primary_10_1017_S001667231400007X crossref_primary_10_1210_clinem_dgab146 crossref_primary_10_3389_fendo_2020_595653 crossref_primary_10_21101_cejph_a7329 crossref_primary_10_1093_humupd_dmu015 crossref_primary_10_1371_journal_pmed_1001751 crossref_primary_10_1681_ASN_2018020192 crossref_primary_10_1371_journal_pone_0095987 crossref_primary_10_1038_s41598_018_28660_y crossref_primary_10_1007_s00438_020_01724_3 crossref_primary_10_1007_s00774_014_0636_0 crossref_primary_10_1007_s00198_017_4061_9 crossref_primary_10_1016_j_bone_2021_116165 crossref_primary_10_1136_annrheumdis_2012_202081 crossref_primary_10_1016_j_bone_2015_12_016 crossref_primary_10_3389_fendo_2020_00099 crossref_primary_10_1016_j_bone_2015_12_015 crossref_primary_10_1210_clinem_dgac262 crossref_primary_10_18632_aging_205004 crossref_primary_10_1016_j_trsl_2021_12_009 crossref_primary_10_1371_journal_pone_0116792 crossref_primary_10_1210_jc_2017_01531 crossref_primary_10_1210_clinem_dgaa082 crossref_primary_10_1007_s00223_020_00661_y crossref_primary_10_1128_MCB_01106_14 crossref_primary_10_1038_nrrheum_2016_48 crossref_primary_10_7554_eLife_94970 crossref_primary_10_1590_2359_3997000000178 crossref_primary_10_1080_13697137_2017_1315088 crossref_primary_10_3389_fgene_2024_1470310 crossref_primary_10_1016_j_bone_2015_12_005 crossref_primary_10_1038_srep16783 crossref_primary_10_3390_ijms18122529 crossref_primary_10_1016_j_bone_2024_117070 crossref_primary_10_1038_s12276_019_0294_3 crossref_primary_10_1161_HYPERTENSIONAHA_113_02077 crossref_primary_10_1158_1055_9965_EPI_19_0036 crossref_primary_10_1016_j_gene_2018_06_060 crossref_primary_10_1016_j_bone_2018_09_015 crossref_primary_10_1186_gm448 crossref_primary_10_2217_pgs_15_76 crossref_primary_10_1016_j_bone_2023_116985 crossref_primary_10_1016_j_ajhg_2019_08_008 crossref_primary_10_1093_hmg_ddt675 crossref_primary_10_1002_jbmr_2998 crossref_primary_10_3389_fendo_2024_1392063 crossref_primary_10_1002_jbmr_3605 crossref_primary_10_1016_j_pmr_2015_08_008 crossref_primary_10_1038_s41413_018_0011_1 crossref_primary_10_1093_jbmr_zjae133 crossref_primary_10_1302_2046_3758_811_BJR_2018_0251_R1 crossref_primary_10_1016_j_bone_2018_08_020 crossref_primary_10_1097_GME_0b013e3182a34981 crossref_primary_10_1210_js_2019_00057 crossref_primary_10_1155_2018_6407257 crossref_primary_10_18632_aging_202197 crossref_primary_10_1371_journal_pone_0147475 crossref_primary_10_1007_s00198_022_06654_x crossref_primary_10_1016_j_febslet_2012_07_061 crossref_primary_10_1097_BOR_0000000000000365 crossref_primary_10_1371_journal_pone_0172427 crossref_primary_10_1016_j_bone_2019_04_005 crossref_primary_10_1038_s41598_018_29242_8 crossref_primary_10_3390_ijms231710021 crossref_primary_10_3390_biomedicines12010250 crossref_primary_10_1016_j_adaj_2023_11_006 crossref_primary_10_1017_S0016672316000069 crossref_primary_10_1002_jbmr_2744 crossref_primary_10_1186_s12891_017_1481_9 crossref_primary_10_1016_j_nut_2020_110859 crossref_primary_10_1002_jbmr_2508 crossref_primary_10_1007_s00223_016_0213_8 crossref_primary_10_1038_ncomms11505 crossref_primary_10_2220_biomedres_37_117 crossref_primary_10_1186_s12891_023_06644_y crossref_primary_10_3389_fgene_2020_00772 crossref_primary_10_1016_j_gene_2022_146746 crossref_primary_10_1093_molbev_msv170 crossref_primary_10_1177_1759720X17732562 crossref_primary_10_1016_j_bone_2021_116106 crossref_primary_10_1016_j_bone_2022_116449 crossref_primary_10_1007_s00439_019_01969_y crossref_primary_10_1136_bmjopen_2019_035363 crossref_primary_10_1371_journal_pone_0148571 crossref_primary_10_1007_s00198_023_06712_y crossref_primary_10_3389_fnut_2022_934951 crossref_primary_10_1007_s00198_013_2442_2 crossref_primary_10_1016_j_heliyon_2024_e38022 crossref_primary_10_15252_emmm_202012710 crossref_primary_10_1016_j_bone_2017_01_005 crossref_primary_10_1002_jbmr_2781 crossref_primary_10_1007_s00774_024_01558_8 crossref_primary_10_1371_journal_pone_0093333 crossref_primary_10_3389_fphar_2024_1439289 crossref_primary_10_1371_journal_pone_0138524 crossref_primary_10_1038_nrendo_2013_3 crossref_primary_10_1038_s41467_019_09860_0 crossref_primary_10_1007_s00223_024_01285_2 crossref_primary_10_1002_jbmr_1679 crossref_primary_10_1007_s00198_021_06161_5 crossref_primary_10_3389_fcell_2020_602731 crossref_primary_10_1519_JSC_0000000000003944 crossref_primary_10_1016_j_clnu_2015_01_003 crossref_primary_10_1093_hmg_ddu538 crossref_primary_10_1007_s00774_013_0537_7 crossref_primary_10_1038_s41398_021_01263_4 crossref_primary_10_3390_jpm11010034 crossref_primary_10_1186_s12881_017_0468_6 crossref_primary_10_1093_jbmr_zjae175 crossref_primary_10_1007_s00223_013_9793_8 crossref_primary_10_1016_j_bone_2013_10_022 crossref_primary_10_1007_s12016_024_08986_4 crossref_primary_10_1021_acschembio_3c00440 crossref_primary_10_1534_g3_112_004788 crossref_primary_10_25259_JMSR_220_2023 crossref_primary_10_1097_JSM_0000000000000085 crossref_primary_10_1007_s10654_022_00903_3 crossref_primary_10_1016_j_bone_2016_07_004 crossref_primary_10_1371_journal_pone_0251423 crossref_primary_10_1038_s41467_019_14003_6 crossref_primary_10_1016_j_bone_2016_07_008 crossref_primary_10_1371_journal_pgen_1005250 crossref_primary_10_1016_j_pep_2023_106322 crossref_primary_10_1007_s00198_018_4654_y crossref_primary_10_1111_ggi_12721 crossref_primary_10_1038_s41398_021_01358_y crossref_primary_10_1093_ije_dyw079 crossref_primary_10_1007_s40610_017_0062_x crossref_primary_10_1016_j_bone_2024_117257 crossref_primary_10_1007_s00223_021_00885_6 crossref_primary_10_1016_j_cmet_2015_01_009 crossref_primary_10_3143_geriatrics_56_116 crossref_primary_10_1038_ng_3570 crossref_primary_10_1089_gtmb_2014_0044 crossref_primary_10_1038_bonekey_2016_26 crossref_primary_10_1111_cpr_13600 crossref_primary_10_1038_bonekey_2016_23 crossref_primary_10_1016_j_bone_2015_10_010 crossref_primary_10_3945_ajcn_116_144550 crossref_primary_10_1093_ije_dyx172 crossref_primary_10_1210_me_2014_1147 crossref_primary_10_3390_cells9092073 crossref_primary_10_1371_journal_pone_0113684 crossref_primary_10_1186_s13073_017_0418_0 crossref_primary_10_1038_s41588_023_01527_3 crossref_primary_10_1016_j_imlet_2016_11_011 crossref_primary_10_1038_s41598_020_60146_8 crossref_primary_10_1038_s41598_017_13932_w crossref_primary_10_1007_s00198_013_2577_1 crossref_primary_10_1007_s00421_021_04789_z crossref_primary_10_1210_er_2014_1024 crossref_primary_10_1007_s00774_013_0539_5 crossref_primary_10_1038_leu_2015_342 crossref_primary_10_1210_endocr_bqaa111 crossref_primary_10_1007_s10517_014_2538_5 crossref_primary_10_1371_journal_pone_0084485 crossref_primary_10_1002_jbmr_2913 crossref_primary_10_1038_ejhg_2017_108 crossref_primary_10_1002_jbmr_2915 crossref_primary_10_3390_ijms23063287 crossref_primary_10_1016_j_coph_2018_04_011 crossref_primary_10_3389_fendo_2023_1261088 crossref_primary_10_1186_s13058_014_0422_x crossref_primary_10_1007_s11914_020_00571_w crossref_primary_10_1002_humu_24126 crossref_primary_10_3389_fphar_2023_1211302 crossref_primary_10_1007_s11914_019_00505_1 crossref_primary_10_1007_s00439_013_1366_4 crossref_primary_10_1002_ajmg_a_61005 crossref_primary_10_1007_s10803_016_2871_9 crossref_primary_10_1210_clinem_dgab507 crossref_primary_10_1249_MSS_0000000000001520 crossref_primary_10_1016_j_bone_2014_04_013 crossref_primary_10_1016_j_bone_2019_02_009 crossref_primary_10_3390_medicina57030248 crossref_primary_10_1152_ajpendo_00254_2012 crossref_primary_10_1038_bonekey_2016_69 crossref_primary_10_1186_s13073_021_00838_6 crossref_primary_10_1093_bioinformatics_btaa970 crossref_primary_10_1097_MCO_0000000000000482 crossref_primary_10_3389_fendo_2020_630875 crossref_primary_10_1016_j_bone_2019_03_014 crossref_primary_10_1038_nature12124 crossref_primary_10_1007_s00198_024_07105_5 crossref_primary_10_18632_aging_206131 crossref_primary_10_14341_osteo12951 crossref_primary_10_1016_j_cellsig_2022_110578 crossref_primary_10_1038_ng_3521 crossref_primary_10_3390_ijms17020221 crossref_primary_10_1016_j_bone_2019_115175 crossref_primary_10_1002_jor_24539 crossref_primary_10_1038_bonekey_2016_50 crossref_primary_10_2217_pgs_15_167 crossref_primary_10_1002_jbmr_1840 crossref_primary_10_1007_s00198_013_2302_0 crossref_primary_10_3389_fendo_2019_00807 crossref_primary_10_1007_s00198_014_2767_5 crossref_primary_10_3389_fcell_2021_667581 |
| Cites_doi | 10.1093/aje/kwp262 10.1007/s00198-007-0343-y 10.1136/jmg.2006.041715 10.1101/gr.095224.109 10.1371/journal.pgen.1000534 10.1371/journal.pgen.0030114 10.1016/j.bone.2006.09.029 10.1002/gepi.20303 10.1371/journal.pgen.1001372 10.7326/0003-4819-151-8-200910200-00006 10.1001/jama.282.14.1344 10.1146/annurev.genom.9.081307.164242 10.1038/nrg2544 10.1038/ng.473 10.1038/ng.446 10.1056/NEJMoa055218 10.1016/S0092-8674(01)00206-9 10.1371/journal.pgen.1000977 10.1359/jbmr.2003.18.10.1766 10.1093/bioinformatics/btp497 10.1038/ng786 10.1038/ng2088 10.1038/ng2142 10.1038/nature06758 10.1016/j.ajhg.2009.12.014 10.1186/1471-2105-11-134 10.1056/NEJMoa0801197 10.1007/s00198-006-0255-2 10.1210/edrv.23.3.0464 10.1038/ejhg.2011.39 10.1111/j.1469-1809.2008.00447.x 10.1038/nature06258 10.1359/JBMR.050304 10.1210/er.2009-0044 10.1038/nature08903 10.1001/jama.299.11.1277 10.1006/tpbi.2001.1542 10.1016/j.bone.2009.11.007 10.1371/journal.pgen.1002313 10.1093/hmg/ddr328 10.1038/nature09410 10.1056/NEJMra0808700 10.1038/ng.284 10.1056/NEJMra0905980 10.1172/JCI34257 10.1210/en.2011-1225 10.1359/jbmr.061113 10.1037/0033-2909.117.1.167 10.1371/journal.pone.0010693 10.2174/157488611795684712 10.1093/aje/kwq234 10.1086/318811 10.1016/S0140-6736(08)60599-1 10.1371/journal.pone.0013217 10.1371/journal.pgen.1001279 |
| ContentType | Journal Article |
| Contributor | Universitat de Barcelona |
| Contributor_xml | – sequence: 1 fullname: Universitat de Barcelona |
| Copyright | Springer Nature America, Inc. 2012 2015 INIST-CNRS COPYRIGHT 2012 Nature Publishing Group Copyright Nature Publishing Group May 2012 (c) Balcells Comas, Susana et al., 2012 info:eu-repo/semantics/openAccess |
| Copyright_xml | – notice: Springer Nature America, Inc. 2012 – notice: 2015 INIST-CNRS – notice: COPYRIGHT 2012 Nature Publishing Group – notice: Copyright Nature Publishing Group May 2012 – notice: (c) Balcells Comas, Susana et al., 2012 info:eu-repo/semantics/openAccess |
| CorporateAuthor | Lunds universitet Profile areas and other strong research environments Department of Clinical Sciences, Malmö Lund University Strategiska forskningsområden (SFO) EpiHealth: Epidemiology for Health Orthopedics Faculty of Medicine Strategic research areas (SRA) Medicinska fakulteten Profilområden och andra starka forskningsmiljöer Institutionen för kliniska vetenskaper, Malmö Ortopedi |
| CorporateAuthor_xml | – name: Faculty of Medicine – name: Medicinska fakulteten – name: Strategiska forskningsområden (SFO) – name: Ortopedi – name: EpiHealth: Epidemiology for Health – name: Institutionen för kliniska vetenskaper, Malmö – name: Strategic research areas (SRA) – name: Lunds universitet – name: Profilområden och andra starka forskningsmiljöer – name: Lund University – name: Profile areas and other strong research environments – name: Orthopedics – name: Department of Clinical Sciences, Malmö |
| DBID | AAYXX CITATION IQODW CGR CUY CVF ECM EIF NPM IOV ISR 3V. 7QL 7QP 7QR 7SS 7T7 7TK 7TM 7U9 7X7 7XB 88A 88E 8AO 8C1 8FD 8FE 8FH 8FI 8FJ 8FK 8G5 ABUWG AEUYN AFKRA AZQEC BBNVY BENPR BHPHI C1K CCPQU DWQXO FR3 FYUFA GHDGH GNUQQ GUQSH H94 HCIFZ K9. LK8 M0S M1P M2O M7N M7P MBDVC P64 PHGZM PHGZT PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS Q9U RC3 7X8 XX2 5PM ADTPV AOWAS D93 DF2 F1U D95 |
| DOI | 10.1038/ng.2249 |
| DatabaseName | CrossRef Pascal-Francis Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Gale In Context: Opposing Viewpoints Gale In Context: Science ProQuest Central (Corporate) Bacteriology Abstracts (Microbiology B) Calcium & Calcified Tissue Abstracts Chemoreception Abstracts Entomology Abstracts (Full archive) Industrial and Applied Microbiology Abstracts (Microbiology A) Neurosciences Abstracts Nucleic Acids Abstracts Virology and AIDS Abstracts Health & Medical Collection ProQuest Central (purchase pre-March 2016) Biology Database (Alumni Edition) Medical Database (Alumni Edition) ProQuest Pharma Collection Public Health Database Technology Research Database ProQuest SciTech Collection ProQuest Natural Science Collection Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Research Library ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland ProQuest Central Essentials - QC Biological Science Collection ProQuest Central Natural Science Collection Environmental Sciences and Pollution Management ProQuest One Community College ProQuest Central Korea Engineering Research Database Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student ProQuest Research Library AIDS and Cancer Research Abstracts SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) Biological Sciences ProQuest Health & Medical Collection Medical Database Research Library Algology Mycology and Protozoology Abstracts (Microbiology C) Biological Science Database Research Library (Corporate) Biotechnology and BioEngineering Abstracts Proquest Central Premium ProQuest One Academic (New) ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China ProQuest Central Basic Genetics Abstracts MEDLINE - Academic Recercat PubMed Central (Full Participant titles) SwePub SwePub Articles SWEPUB Umeå universitet SWEPUB Uppsala universitet SWEPUB Göteborgs universitet SWEPUB Lunds universitet |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Research Library Prep ProQuest Central Student ProQuest Central Essentials Nucleic Acids Abstracts SciTech Premium Collection ProQuest Central China Environmental Sciences and Pollution Management ProQuest One Applied & Life Sciences ProQuest One Sustainability Health Research Premium Collection Natural Science Collection Health & Medical Research Collection Biological Science Collection Chemoreception Abstracts Industrial and Applied Microbiology Abstracts (Microbiology A) ProQuest Central (New) ProQuest Medical Library (Alumni) Virology and AIDS Abstracts ProQuest Biological Science Collection ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) Biological Science Database Neurosciences Abstracts ProQuest Hospital Collection (Alumni) Biotechnology and BioEngineering Abstracts Entomology Abstracts ProQuest Health & Medical Complete ProQuest One Academic UKI Edition Engineering Research Database ProQuest One Academic Calcium & Calcified Tissue Abstracts ProQuest One Academic (New) Technology Research Database ProQuest One Academic Middle East (New) ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing Research Library (Alumni Edition) ProQuest Natural Science Collection ProQuest Pharma Collection ProQuest Biology Journals (Alumni Edition) ProQuest Central ProQuest Health & Medical Research Collection Genetics Abstracts Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Bacteriology Abstracts (Microbiology B) Algology Mycology and Protozoology Abstracts (Microbiology C) AIDS and Cancer Research Abstracts ProQuest Research Library ProQuest Public Health ProQuest Central Basic ProQuest SciTech Collection ProQuest Medical Library ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | Research Library Prep MEDLINE - Academic MEDLINE Genetics Abstracts |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 3 dbid: BENPR name: ProQuest Central url: http://www.proquest.com/pqcentral?accountid=15518 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Agriculture Biology |
| EISSN | 1546-1718 |
| EndPage | 501 |
| ExternalDocumentID | oai_portal_research_lu_se_publications_9dc40d40_ba91_4bb7_af5b_36be7f6d81ae oai_gup_ub_gu_se_161420 oai_DiVA_org_uu_176250 oai_DiVA_org_umu_54103 PMC3338864 oai_recercat_cat_2072_336913 2692185301 A288979306 22504420 25876526 10_1038_ng_2249 |
| Genre | Meta-Analysis Research Support, N.I.H., Intramural Research Support, Non-U.S. Gov't Journal Article Research Support, N.I.H., Extramural |
| GeographicLocations | United States |
| GeographicLocations_xml | – name: United States |
| GrantInformation_xml | – fundername: NHLBI NIH HHS grantid: N01 HC085082 – fundername: NHLBI NIH HHS grantid: N01 HC055222 – fundername: NIA NIH HHS grantid: N01 AG062103 – fundername: NIAMS NIH HHS grantid: R01 AR 050066 – fundername: NHLBI NIH HHS grantid: N01 HC075150 – fundername: NHLBI NIH HHS grantid: N01 HC085085 – fundername: NHGRI NIH HHS grantid: HHSN268200782096C – fundername: Arthritis Research UK grantid: 17539 – fundername: Intramural NIH HHS – fundername: NIA NIH HHS grantid: R56 AG023629 |
| GroupedDBID | --- -DZ -~X .55 .GJ 0R~ 123 29M 2FS 36B 39C 3O- 3V. 4.4 53G 5BI 5M7 5RE 5S5 70F 7X7 85S 88A 88E 8AO 8C1 8FE 8FH 8FI 8FJ 8G5 8R4 8R5 AAEEF AAHBH AARCD AAYOK AAYZH AAZLF ABAWZ ABCQX ABDBF ABDPE ABEFU ABJNI ABLJU ABOCM ABTAH ABUWG ACBWK ACGFO ACGFS ACIWK ACMJI ACNCT ACPRK ACUHS ADBBV ADFRT AENEX AEUYN AFBBN AFFNX AFKRA AFRAH AFSHS AGAYW AGCDD AGHTU AHBCP AHMBA AHOSX AHSBF AIBTJ ALFFA ALIPV ALMA_UNASSIGNED_HOLDINGS AMTXH ARMCB ASPBG AVWKF AXYYD AZFZN AZQEC B0M BBNVY BENPR BHPHI BKKNO BPHCQ BVXVI CCPQU CS3 DB5 DU5 DWQXO EAD EAP EBC EBD EBS EE. EJD EMB EMK EMOBN EPL ESX EXGXG F5P FEDTE FQGFK FSGXE FYUFA GNUQQ GUQSH GX1 HCIFZ HMCUK HVGLF HZ~ IAO IH2 IHR INH INR IOV ISR ITC L7B LGEZI LK8 LOTEE M0L M1P M2O M7P MVM N9A NADUK NNMJJ NXXTH ODYON P2P PKN PQQKQ PROAC PSQYO Q2X RIG RNS RNT RNTTT RVV SHXYY SIXXV SJN SNYQT SOJ SV3 TAOOD TBHMF TDRGL TN5 TSG TUS UKHRP VQA X7M XJT XOL Y6R YHZ ZGI ZXP ZY4 ~8M ~KM AAYXX ABFSG ACMFV ACSTC AETEA AFANA ALPWD ATHPR CITATION PHGZM PHGZT AEZWR AFHIU AHWEU AIXLP IQODW NFIDA PJZUB PPXIY PQGLB CGR CUY CVF ECM EIF NPM AEIIB PMFND 7QL 7QP 7QR 7SS 7T7 7TK 7TM 7U9 7XB 8FD 8FK C1K FR3 H94 K9. M7N MBDVC P64 PKEHL PQEST PQUKI PRINS PUEGO Q9U RC3 7X8 XX2 5PM ADTPV AOWAS D93 DF2 F1U D95 |
| ID | FETCH-LOGICAL-c872t-f34ac27ae3d81d75386bfaabb0a2c627fcd5a9b896a9053cd1a6d73c35df242d3 |
| IEDL.DBID | 7X7 |
| ISSN | 1061-4036 1546-1718 |
| IngestDate | Thu Sep 18 03:32:40 EDT 2025 Wed Sep 10 03:19:56 EDT 2025 Wed Sep 10 03:08:48 EDT 2025 Tue Sep 09 23:39:10 EDT 2025 Thu Aug 21 18:33:26 EDT 2025 Fri Sep 26 12:55:26 EDT 2025 Fri Sep 05 13:45:49 EDT 2025 Fri Sep 05 05:38:17 EDT 2025 Sat Aug 23 15:00:11 EDT 2025 Tue Jun 17 21:12:33 EDT 2025 Tue Jun 10 20:47:33 EDT 2025 Fri Jun 27 04:36:56 EDT 2025 Fri Jun 27 03:56:48 EDT 2025 Mon Jul 21 05:18:48 EDT 2025 Mon Jul 21 09:13:20 EDT 2025 Tue Jul 01 01:50:10 EDT 2025 Thu Apr 24 22:50:20 EDT 2025 Fri Feb 21 02:37:43 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 5 |
| Keywords | Osteoarticular system Diseases of the osteoarticular system Risk Fracture Identification Bone Locus Trauma Density Metaanalysis |
| Language | English |
| License | http://www.springer.com/tdm CC BY 4.0 Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c872t-f34ac27ae3d81d75386bfaabb0a2c627fcd5a9b896a9053cd1a6d73c35df242d3 |
| Notes | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 These authors jointly directed this work. These authors contributed equally to this work. |
| OpenAccessLink | https://recercat.cat/handle/2072/336913 |
| PMID | 22504420 |
| PQID | 1021186132 |
| PQPubID | 33429 |
| PageCount | 11 |
| ParticipantIDs | swepub_primary_oai_portal_research_lu_se_publications_9dc40d40_ba91_4bb7_af5b_36be7f6d81ae swepub_primary_oai_gup_ub_gu_se_161420 swepub_primary_oai_DiVA_org_uu_176250 swepub_primary_oai_DiVA_org_umu_54103 pubmedcentral_primary_oai_pubmedcentral_nih_gov_3338864 csuc_recercat_oai_recercat_cat_2072_336913 proquest_miscellaneous_1034809203 proquest_miscellaneous_1010233087 proquest_journals_1021186132 gale_infotracmisc_A288979306 gale_infotracacademiconefile_A288979306 gale_incontextgauss_ISR_A288979306 gale_incontextgauss_IOV_A288979306 pubmed_primary_22504420 pascalfrancis_primary_25876526 crossref_citationtrail_10_1038_ng_2249 crossref_primary_10_1038_ng_2249 springer_journals_10_1038_ng_2249 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2012-05-01 |
| PublicationDateYYYYMMDD | 2012-05-01 |
| PublicationDate_xml | – month: 05 year: 2012 text: 2012-05-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | New York |
| PublicationPlace_xml | – name: New York – name: New York, NY – name: United States |
| PublicationTitle | Nature genetics |
| PublicationTitleAbbrev | Nat Genet |
| PublicationTitleAlternate | Nat Genet |
| PublicationYear | 2012 |
| Publisher | Nature Publishing Group US Nature Publishing Group |
| Publisher_xml | – name: Nature Publishing Group US – name: Nature Publishing Group |
| References | Ioannidis, Thomas, Daly (CR45) 2009; 10 Ralston, Uitterlinden (CR5) 2010; 31 Styrkarsdottir (CR31) 2010; 5 Manolio (CR7) 2010; 363 Lango Allen (CR20) 2010; 467 Jin (CR25) 2008; 118 Estrada (CR41) 2009; 25 Harris (CR35) 1999; 282 Brunkow (CR21) 2001; 68 Pereira, Patsopoulos, Salanti, Ioannidis (CR46) 2009; 170 Johnell (CR2) 2005; 20 Devlin, Roeder, Wasserman (CR44) 2001; 60 Burge (CR1) 2007; 22 Servin, Stephens (CR38) 2007; 3 Ohlsson (CR30) 2011; 7 Emilsson (CR54) 2008; 452 Grundberg (CR53) 2011; 7 Abecasis, Cherny, Cookson, Cardon (CR42) 2002; 30 Panagiotou, Evangelou, Ioannidis (CR24) 2010; 172 Kanis (CR3) 2007; 18 Marchini, Howie, Myers, McVean, Donnelly (CR39) 2007; 39 van Meurs (CR16) 2008; 299 Peacock, Turner, Econs, Foroud (CR4) 2002; 23 Hardy, Singleton (CR6) 2009; 360 Zeller (CR55) 2010; 5 Karasik, Ferrari (CR29) 2008; 72 Jackson (CR36) 2006; 354 Styrkarsdottir (CR9) 2008; 358 Raychaudhuri (CR19) 2009; 5 Yang (CR47) 2011; 19 Hasselblad, Hedges (CR34) 1995; 117 Li, Willer, Sanna, Abecasis (CR40) 2009; 10 Duncan (CR14) 2011; 7 Grundberg (CR27) 2009; 19 Duan, Beck, Wang, Seeman (CR28) 2003; 18 Guo (CR22) 2006; 43 Pe'er, Yelensky, Altshuler, Daly (CR48) 2008; 32 Richards (CR15) 2009; 151 Richards (CR8) 2008; 371 Aulchenko, Struchalin, van Duijn (CR43) 2010; 11 Bagger (CR17) 2007; 18 Montgomery (CR51) 2010; 464 Styrkarsdottir (CR11) 2009; 41 Sundaram, Shanmugarajan, Rao, Reddy (CR26) 2011; 152 Wood (CR32) 2011; 20 Mosekilde, Torring, Rejnmark (CR33) 2011; 6 Kung (CR13) 2010; 86 Kornak (CR23) 2001; 104 Hsu (CR12) 2010; 6 Reppe (CR49) 2010; 46 Stranger (CR52) 2007; 39 Kiel (CR18) 2007; 40 Frazer (CR37) 2007; 449 Ge (CR50) 2009; 41 Rivadeneira (CR10) 2009; 41 SH Ralston (BFng2249_CR5) 2010; 31 S Reppe (BFng2249_CR49) 2010; 46 EL Duncan (BFng2249_CR14) 2011; 7 DP Kiel (BFng2249_CR18) 2007; 40 YF Guo (BFng2249_CR22) 2006; 43 OA Panagiotou (BFng2249_CR24) 2010; 172 SB Montgomery (BFng2249_CR51) 2010; 464 V Emilsson (BFng2249_CR54) 2008; 452 K Estrada (BFng2249_CR41) 2009; 25 V Hasselblad (BFng2249_CR34) 1995; 117 U Kornak (BFng2249_CR23) 2001; 104 ME Brunkow (BFng2249_CR21) 2001; 68 R Burge (BFng2249_CR1) 2007; 22 B Devlin (BFng2249_CR44) 2001; 60 TV Pereira (BFng2249_CR46) 2009; 170 C Ohlsson (BFng2249_CR30) 2011; 7 T Zeller (BFng2249_CR55) 2010; 5 U Styrkarsdottir (BFng2249_CR11) 2009; 41 D Karasik (BFng2249_CR29) 2008; 72 E Grundberg (BFng2249_CR27) 2009; 19 AR Wood (BFng2249_CR32) 2011; 20 ST Harris (BFng2249_CR35) 1999; 282 H Lango Allen (BFng2249_CR20) 2010; 467 YS Aulchenko (BFng2249_CR43) 2010; 11 YH Hsu (BFng2249_CR12) 2010; 6 W Jin (BFng2249_CR25) 2008; 118 S Raychaudhuri (BFng2249_CR19) 2009; 5 J Yang (BFng2249_CR47) 2011; 19 O Johnell (BFng2249_CR2) 2005; 20 JB van Meurs (BFng2249_CR16) 2008; 299 KA Frazer (BFng2249_CR37) 2007; 449 JB Richards (BFng2249_CR15) 2009; 151 RD Jackson (BFng2249_CR36) 2006; 354 I Pe'er (BFng2249_CR48) 2008; 32 B Ge (BFng2249_CR50) 2009; 41 JA Kanis (BFng2249_CR3) 2007; 18 M Peacock (BFng2249_CR4) 2002; 23 E Grundberg (BFng2249_CR53) 2011; 7 BE Stranger (BFng2249_CR52) 2007; 39 GR Abecasis (BFng2249_CR42) 2002; 30 JB Richards (BFng2249_CR8) 2008; 371 TA Manolio (BFng2249_CR7) 2010; 363 B Servin (BFng2249_CR38) 2007; 3 J Hardy (BFng2249_CR6) 2009; 360 K Sundaram (BFng2249_CR26) 2011; 152 Y Duan (BFng2249_CR28) 2003; 18 U Styrkarsdottir (BFng2249_CR31) 2010; 5 Y Li (BFng2249_CR40) 2009; 10 U Styrkarsdottir (BFng2249_CR9) 2008; 358 F Rivadeneira (BFng2249_CR10) 2009; 41 AW Kung (BFng2249_CR13) 2010; 86 YZ Bagger (BFng2249_CR17) 2007; 18 L Mosekilde (BFng2249_CR33) 2011; 6 JP Ioannidis (BFng2249_CR45) 2009; 10 J Marchini (BFng2249_CR39) 2007; 39 |
| References_xml | – volume: 170 start-page: 1197 year: 2009 end-page: 1206 ident: CR46 article-title: Discovery properties of genome-wide association signals from cumulatively combined data sets publication-title: Am. J. Epidemiol. doi: 10.1093/aje/kwp262 – volume: 18 start-page: 1033 year: 2007 end-page: 1046 ident: CR3 article-title: The use of clinical risk factors enhances the performance of BMD in the prediction of hip and osteoporotic fractures in men and women publication-title: Osteoporos. Int. doi: 10.1007/s00198-007-0343-y – volume: 43 start-page: 798 year: 2006 end-page: 803 ident: CR22 article-title: Polymorphisms of the low-density lipoprotein receptor–related protein 5 ( ) gene are associated with obesity phenotypes in a large family-based association study publication-title: J. Med. Genet. doi: 10.1136/jmg.2006.041715 – volume: 19 start-page: 1942 year: 2009 end-page: 1952 ident: CR27 article-title: Population genomics in a disease targeted primary cell model publication-title: Genome Res. doi: 10.1101/gr.095224.109 – volume: 5 start-page: e1000534 year: 2009 ident: CR19 article-title: Identifying relationships among genomic disease regions: predicting genes at pathogenic SNP associations and rare deletions publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1000534 – volume: 3 start-page: e114 year: 2007 ident: CR38 article-title: Imputation-based analysis of association studies: candidate regions and quantitative traits publication-title: PLoS Genet. doi: 10.1371/journal.pgen.0030114 – volume: 40 start-page: 587 year: 2007 end-page: 596 ident: CR18 article-title: Genetic variation at the low-density lipoprotein receptor–related protein 5 ( ) locus modulates Wnt signaling and the relationship of physical activity with bone mineral density in men publication-title: Bone doi: 10.1016/j.bone.2006.09.029 – volume: 32 start-page: 381 year: 2008 end-page: 385 ident: CR48 article-title: Estimation of the multiple testing burden for genomewide association studies of nearly all common variants publication-title: Genet. Epidemiol. doi: 10.1002/gepi.20303 – volume: 7 start-page: e1001372 year: 2011 ident: CR14 article-title: Genome-wide association study using extreme truncate selection identifies novel genes affecting bone mineral density and fracture risk publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1001372 – volume: 151 start-page: 528 year: 2009 end-page: 537 ident: CR15 article-title: Collaborative meta-analysis: associations of 150 candidate genes with osteoporosis and osteoporotic fracture publication-title: Ann. Intern. Med. doi: 10.7326/0003-4819-151-8-200910200-00006 – volume: 282 start-page: 1344 year: 1999 end-page: 1352 ident: CR35 article-title: Effects of risedronate treatment on vertebral and nonvertebral fractures in women with postmenopausal osteoporosis: a randomized controlled trial. Vertebral Efficacy With Risedronate Therapy (VERT) Study Group publication-title: J. Am. Med. Assoc. doi: 10.1001/jama.282.14.1344 – volume: 10 start-page: 387 year: 2009 end-page: 406 ident: CR40 article-title: Genotype imputation publication-title: Annu. Rev. Genomics Hum. Genet. doi: 10.1146/annurev.genom.9.081307.164242 – volume: 10 start-page: 318 year: 2009 end-page: 329 ident: CR45 article-title: Validating, augmenting and refining genome-wide association signals publication-title: Nat. Rev. Genet. doi: 10.1038/nrg2544 – volume: 41 start-page: 1216 year: 2009 end-page: 1222 ident: CR50 article-title: Global patterns of variation in human cells revealed by high-density allelic expression analysis publication-title: Nat. Genet. doi: 10.1038/ng.473 – volume: 41 start-page: 1199 year: 2009 end-page: 1206 ident: CR10 article-title: Twenty bone-mineral-density loci identified by large-scale meta-analysis of genome-wide association studies publication-title: Nat. Genet. doi: 10.1038/ng.446 – volume: 354 start-page: 669 year: 2006 end-page: 683 ident: CR36 article-title: Calcium plus vitamin D supplementation and the risk of fractures publication-title: N. Engl. J. Med. doi: 10.1056/NEJMoa055218 – volume: 104 start-page: 205 year: 2001 end-page: 215 ident: CR23 article-title: Loss of the ClC-7 chloride channel leads to osteopetrosis in mice and man publication-title: Cell doi: 10.1016/S0092-8674(01)00206-9 – volume: 6 start-page: e1000977 year: 2010 ident: CR12 article-title: An integration of genome-wide association study and gene expression profiling to prioritize the discovery of novel susceptibility loci for osteoporosis-related traits publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1000977 – volume: 18 start-page: 1766 year: 2003 end-page: 1774 ident: CR28 article-title: Structural and biomechanical basis of sexual dimorphism in femoral neck fragility has its origins in growth and aging publication-title: J. Bone Miner. Res. doi: 10.1359/jbmr.2003.18.10.1766 – volume: 25 start-page: 2750 year: 2009 end-page: 2752 ident: CR41 article-title: GRIMP: a web- and grid-based tool for high-speed analysis of large-scale genome-wide association using imputed data publication-title: Bioinformatics doi: 10.1093/bioinformatics/btp497 – volume: 30 start-page: 97 year: 2002 end-page: 101 ident: CR42 article-title: Merlin—rapid analysis of dense genetic maps using sparse gene flow trees publication-title: Nat. Genet. doi: 10.1038/ng786 – volume: 39 start-page: 906 year: 2007 end-page: 913 ident: CR39 article-title: A new multipoint method for genome-wide association studies by imputation of genotypes publication-title: Nat. Genet. doi: 10.1038/ng2088 – volume: 39 start-page: 1217 year: 2007 end-page: 1224 ident: CR52 article-title: Population genomics of human gene expression publication-title: Nat. Genet. doi: 10.1038/ng2142 – volume: 452 start-page: 423 year: 2008 end-page: 428 ident: CR54 article-title: Genetics of gene expression and its effect on disease publication-title: Nature doi: 10.1038/nature06758 – volume: 86 start-page: 229 year: 2010 end-page: 239 ident: CR13 article-title: Association of with bone mineral density and osteoporotic fractures: a genome-wide association study and follow-up replication studies publication-title: Am. J. Hum. Genet. doi: 10.1016/j.ajhg.2009.12.014 – volume: 11 start-page: 134 year: 2010 ident: CR43 article-title: ProbABEL package for genome-wide association analysis of imputed data publication-title: BMC Bioinformatics doi: 10.1186/1471-2105-11-134 – volume: 358 start-page: 2355 year: 2008 end-page: 2365 ident: CR9 article-title: Multiple genetic loci for bone mineral density and fractures publication-title: N. Engl. J. Med. doi: 10.1056/NEJMoa0801197 – volume: 18 start-page: 505 year: 2007 end-page: 512 ident: CR17 article-title: Links between cardiovascular disease and osteoporosis in postmenopausal women: serum lipids or atherosclerosis per se? publication-title: Osteoporos. Int. doi: 10.1007/s00198-006-0255-2 – volume: 23 start-page: 303 year: 2002 end-page: 326 ident: CR4 article-title: Genetics of osteoporosis publication-title: Endocr. Rev. doi: 10.1210/edrv.23.3.0464 – volume: 19 start-page: 807 year: 2011 end-page: 812 ident: CR47 article-title: Genomic inflation factors under polygenic inheritance publication-title: Eur. J. Hum. Genet. doi: 10.1038/ejhg.2011.39 – volume: 72 start-page: 696 year: 2008 end-page: 714 ident: CR29 article-title: Contribution of gender-specific genetic factors to osteoporosis risk publication-title: Ann. Hum. Genet. doi: 10.1111/j.1469-1809.2008.00447.x – volume: 449 start-page: 851 year: 2007 end-page: 861 ident: CR37 article-title: A second generation human haplotype map of over 3.1 million SNPs publication-title: Nature doi: 10.1038/nature06258 – volume: 20 start-page: 1185 year: 2005 end-page: 1194 ident: CR2 article-title: Predictive value of BMD for hip and other fractures publication-title: J. Bone Miner. Res. doi: 10.1359/JBMR.050304 – volume: 31 start-page: 629 year: 2010 end-page: 662 ident: CR5 article-title: Genetics of osteoporosis publication-title: Endocr. Rev. doi: 10.1210/er.2009-0044 – volume: 464 start-page: 773 year: 2010 end-page: 777 ident: CR51 article-title: Transcriptome genetics using second generation sequencing in a Caucasian population publication-title: Nature doi: 10.1038/nature08903 – volume: 299 start-page: 1277 year: 2008 end-page: 1290 ident: CR16 article-title: Large-scale analysis of association between and variants and osteoporosis publication-title: J. Am. Med. Assoc. doi: 10.1001/jama.299.11.1277 – volume: 60 start-page: 155 year: 2001 end-page: 166 ident: CR44 article-title: Genomic control, a new approach to genetic-based association studies publication-title: Theor. Popul. Biol. doi: 10.1006/tpbi.2001.1542 – volume: 46 start-page: 604 year: 2010 end-page: 612 ident: CR49 article-title: Eight genes are highly associated with BMD variation in postmenopausal Caucasian women publication-title: Bone doi: 10.1016/j.bone.2009.11.007 – volume: 7 start-page: e1002313 year: 2011 ident: CR30 article-title: Genetic determinants of serum testosterone concentrations in men publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1002313 – volume: 20 start-page: 4082 year: 2011 end-page: 4092 ident: CR32 article-title: Allelic heterogeneity and more detailed analyses of known loci explain additional phenotypic variation and reveal complex patterns of association publication-title: Hum. Mol. Genet. doi: 10.1093/hmg/ddr328 – volume: 467 start-page: 832 year: 2010 end-page: 838 ident: CR20 article-title: Hundreds of variants clustered in genomic loci and biological pathways affect human height publication-title: Nature doi: 10.1038/nature09410 – volume: 360 start-page: 1759 year: 2009 end-page: 1768 ident: CR6 article-title: Genomewide association studies and human disease publication-title: N. Engl. J. Med. doi: 10.1056/NEJMra0808700 – volume: 41 start-page: 15 year: 2009 end-page: 17 ident: CR11 article-title: New sequence variants associated with bone mineral density publication-title: Nat. Genet. doi: 10.1038/ng.284 – volume: 363 start-page: 166 year: 2010 end-page: 176 ident: CR7 article-title: Genomewide association studies and assessment of the risk of disease publication-title: N. Engl. J. Med. doi: 10.1056/NEJMra0905980 – volume: 118 start-page: 1858 year: 2008 end-page: 1866 ident: CR25 article-title: Deubiquitinating enzyme CYLD negatively regulates RANK signaling and osteoclastogenesis in mice publication-title: J. Clin. Invest. doi: 10.1172/JCI34257 – volume: 152 start-page: 4180 year: 2011 end-page: 4189 ident: CR26 article-title: Mutant p62 stimulation of osteoclast differentiation in Paget's disease of bone publication-title: Endocrinology doi: 10.1210/en.2011-1225 – volume: 22 start-page: 465 year: 2007 end-page: 475 ident: CR1 article-title: Incidence and economic burden of osteoporosis-related fractures in the United States, 2005–2025 publication-title: J. Bone Miner. Res. doi: 10.1359/jbmr.061113 – volume: 117 start-page: 167 year: 1995 end-page: 178 ident: CR34 article-title: Meta-analysis of screening and diagnostic tests publication-title: Psychol. Bull. doi: 10.1037/0033-2909.117.1.167 – volume: 5 start-page: e10693 year: 2010 ident: CR55 article-title: Genetics and beyond—the transcriptome of human monocytes and disease susceptibility publication-title: PLoS ONE doi: 10.1371/journal.pone.0010693 – volume: 6 start-page: 62 year: 2011 end-page: 74 ident: CR33 article-title: Emerging anabolic treatments in osteoporosis publication-title: Curr. Drug Saf. doi: 10.2174/157488611795684712 – volume: 172 start-page: 869 year: 2010 end-page: 889 ident: CR24 article-title: Genome-wide significant associations for variants with minor allele frequency of 5% or less—an overview: a HuGE review publication-title: Am. J. Epidemiol. doi: 10.1093/aje/kwq234 – volume: 68 start-page: 577 year: 2001 end-page: 589 ident: CR21 article-title: Bone dysplasia sclerosteosis results from loss of the gene product, a novel cystine knot–containing protein publication-title: Am. J. Hum. Genet. doi: 10.1086/318811 – volume: 371 start-page: 1505 year: 2008 end-page: 1512 ident: CR8 article-title: Bone mineral density, osteoporosis, and osteoporotic fractures: a genome-wide association study publication-title: Lancet doi: 10.1016/S0140-6736(08)60599-1 – volume: 5 start-page: e13217 year: 2010 ident: CR31 article-title: European bone mineral density loci are also associated with BMD in East-Asian populations publication-title: PLoS ONE doi: 10.1371/journal.pone.0013217 – volume: 7 start-page: e1001279 year: 2011 ident: CR53 article-title: Global analysis of the impact of environmental perturbation on -regulation of gene expression publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1001279 – volume: 18 start-page: 1033 year: 2007 ident: BFng2249_CR3 publication-title: Osteoporos. Int. doi: 10.1007/s00198-007-0343-y – volume: 20 start-page: 4082 year: 2011 ident: BFng2249_CR32 publication-title: Hum. Mol. Genet. doi: 10.1093/hmg/ddr328 – volume: 18 start-page: 505 year: 2007 ident: BFng2249_CR17 publication-title: Osteoporos. Int. doi: 10.1007/s00198-006-0255-2 – volume: 363 start-page: 166 year: 2010 ident: BFng2249_CR7 publication-title: N. Engl. J. Med. doi: 10.1056/NEJMra0905980 – volume: 117 start-page: 167 year: 1995 ident: BFng2249_CR34 publication-title: Psychol. Bull. doi: 10.1037/0033-2909.117.1.167 – volume: 46 start-page: 604 year: 2010 ident: BFng2249_CR49 publication-title: Bone doi: 10.1016/j.bone.2009.11.007 – volume: 371 start-page: 1505 year: 2008 ident: BFng2249_CR8 publication-title: Lancet doi: 10.1016/S0140-6736(08)60599-1 – volume: 118 start-page: 1858 year: 2008 ident: BFng2249_CR25 publication-title: J. Clin. Invest. doi: 10.1172/JCI34257 – volume: 18 start-page: 1766 year: 2003 ident: BFng2249_CR28 publication-title: J. Bone Miner. Res. doi: 10.1359/jbmr.2003.18.10.1766 – volume: 41 start-page: 1216 year: 2009 ident: BFng2249_CR50 publication-title: Nat. Genet. doi: 10.1038/ng.473 – volume: 464 start-page: 773 year: 2010 ident: BFng2249_CR51 publication-title: Nature doi: 10.1038/nature08903 – volume: 19 start-page: 1942 year: 2009 ident: BFng2249_CR27 publication-title: Genome Res. doi: 10.1101/gr.095224.109 – volume: 282 start-page: 1344 year: 1999 ident: BFng2249_CR35 publication-title: J. Am. Med. Assoc. doi: 10.1001/jama.282.14.1344 – volume: 86 start-page: 229 year: 2010 ident: BFng2249_CR13 publication-title: Am. J. Hum. Genet. doi: 10.1016/j.ajhg.2009.12.014 – volume: 170 start-page: 1197 year: 2009 ident: BFng2249_CR46 publication-title: Am. J. Epidemiol. doi: 10.1093/aje/kwp262 – volume: 7 start-page: e1002313 year: 2011 ident: BFng2249_CR30 publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1002313 – volume: 32 start-page: 381 year: 2008 ident: BFng2249_CR48 publication-title: Genet. Epidemiol. doi: 10.1002/gepi.20303 – volume: 23 start-page: 303 year: 2002 ident: BFng2249_CR4 publication-title: Endocr. Rev. doi: 10.1210/edrv.23.3.0464 – volume: 39 start-page: 906 year: 2007 ident: BFng2249_CR39 publication-title: Nat. Genet. doi: 10.1038/ng2088 – volume: 152 start-page: 4180 year: 2011 ident: BFng2249_CR26 publication-title: Endocrinology doi: 10.1210/en.2011-1225 – volume: 22 start-page: 465 year: 2007 ident: BFng2249_CR1 publication-title: J. Bone Miner. Res. doi: 10.1359/jbmr.061113 – volume: 104 start-page: 205 year: 2001 ident: BFng2249_CR23 publication-title: Cell doi: 10.1016/S0092-8674(01)00206-9 – volume: 3 start-page: e114 year: 2007 ident: BFng2249_CR38 publication-title: PLoS Genet. doi: 10.1371/journal.pgen.0030114 – volume: 10 start-page: 318 year: 2009 ident: BFng2249_CR45 publication-title: Nat. Rev. Genet. doi: 10.1038/nrg2544 – volume: 30 start-page: 97 year: 2002 ident: BFng2249_CR42 publication-title: Nat. Genet. doi: 10.1038/ng786 – volume: 299 start-page: 1277 year: 2008 ident: BFng2249_CR16 publication-title: J. Am. Med. Assoc. doi: 10.1001/jama.299.11.1277 – volume: 7 start-page: e1001372 year: 2011 ident: BFng2249_CR14 publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1001372 – volume: 20 start-page: 1185 year: 2005 ident: BFng2249_CR2 publication-title: J. Bone Miner. Res. doi: 10.1359/JBMR.050304 – volume: 5 start-page: e1000534 year: 2009 ident: BFng2249_CR19 publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1000534 – volume: 360 start-page: 1759 year: 2009 ident: BFng2249_CR6 publication-title: N. Engl. J. Med. doi: 10.1056/NEJMra0808700 – volume: 7 start-page: e1001279 year: 2011 ident: BFng2249_CR53 publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1001279 – volume: 31 start-page: 629 year: 2010 ident: BFng2249_CR5 publication-title: Endocr. Rev. doi: 10.1210/er.2009-0044 – volume: 151 start-page: 528 year: 2009 ident: BFng2249_CR15 publication-title: Ann. Intern. Med. doi: 10.7326/0003-4819-151-8-200910200-00006 – volume: 43 start-page: 798 year: 2006 ident: BFng2249_CR22 publication-title: J. Med. Genet. doi: 10.1136/jmg.2006.041715 – volume: 41 start-page: 15 year: 2009 ident: BFng2249_CR11 publication-title: Nat. Genet. doi: 10.1038/ng.284 – volume: 6 start-page: e1000977 year: 2010 ident: BFng2249_CR12 publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1000977 – volume: 449 start-page: 851 year: 2007 ident: BFng2249_CR37 publication-title: Nature doi: 10.1038/nature06258 – volume: 25 start-page: 2750 year: 2009 ident: BFng2249_CR41 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btp497 – volume: 40 start-page: 587 year: 2007 ident: BFng2249_CR18 publication-title: Bone doi: 10.1016/j.bone.2006.09.029 – volume: 41 start-page: 1199 year: 2009 ident: BFng2249_CR10 publication-title: Nat. Genet. doi: 10.1038/ng.446 – volume: 172 start-page: 869 year: 2010 ident: BFng2249_CR24 publication-title: Am. J. Epidemiol. doi: 10.1093/aje/kwq234 – volume: 39 start-page: 1217 year: 2007 ident: BFng2249_CR52 publication-title: Nat. Genet. doi: 10.1038/ng2142 – volume: 68 start-page: 577 year: 2001 ident: BFng2249_CR21 publication-title: Am. J. Hum. Genet. doi: 10.1086/318811 – volume: 358 start-page: 2355 year: 2008 ident: BFng2249_CR9 publication-title: N. Engl. J. Med. doi: 10.1056/NEJMoa0801197 – volume: 10 start-page: 387 year: 2009 ident: BFng2249_CR40 publication-title: Annu. Rev. Genomics Hum. Genet. doi: 10.1146/annurev.genom.9.081307.164242 – volume: 5 start-page: e10693 year: 2010 ident: BFng2249_CR55 publication-title: PLoS ONE doi: 10.1371/journal.pone.0010693 – volume: 467 start-page: 832 year: 2010 ident: BFng2249_CR20 publication-title: Nature doi: 10.1038/nature09410 – volume: 60 start-page: 155 year: 2001 ident: BFng2249_CR44 publication-title: Theor. Popul. Biol. doi: 10.1006/tpbi.2001.1542 – volume: 354 start-page: 669 year: 2006 ident: BFng2249_CR36 publication-title: N. Engl. J. Med. doi: 10.1056/NEJMoa055218 – volume: 11 start-page: 134 year: 2010 ident: BFng2249_CR43 publication-title: BMC Bioinformatics doi: 10.1186/1471-2105-11-134 – volume: 6 start-page: 62 year: 2011 ident: BFng2249_CR33 publication-title: Curr. Drug Saf. doi: 10.2174/157488611795684712 – volume: 452 start-page: 423 year: 2008 ident: BFng2249_CR54 publication-title: Nature doi: 10.1038/nature06758 – volume: 5 start-page: e13217 year: 2010 ident: BFng2249_CR31 publication-title: PLoS ONE doi: 10.1371/journal.pone.0013217 – volume: 72 start-page: 696 year: 2008 ident: BFng2249_CR29 publication-title: Ann. Hum. Genet. doi: 10.1111/j.1469-1809.2008.00447.x – volume: 19 start-page: 807 year: 2011 ident: BFng2249_CR47 publication-title: Eur. J. Hum. Genet. doi: 10.1038/ejhg.2011.39 |
| SSID | ssj0014408 |
| Score | 2.6075182 |
| SecondaryResourceType | review_article |
| Snippet | Fernando Rivadeneira and colleagues in the Genetic Factors for Osteoporosis Consortium report a large-scale meta-analysis identifying new loci associated with... Bone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck... Bone mineral density (BMD) is the most important predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck... |
| SourceID | swepub pubmedcentral csuc proquest gale pubmed pascalfrancis crossref springer |
| SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 491 |
| SubjectTerms | 631/208/205/2138 631/208/2489/144 631/208/480 Agriculture Animal Genetics and Genomics Biological and medical sciences Biomedical and Life Sciences Biomedicine Bone Bone densitometry Bone Density Bone Density - genetics Bone mineral density Bones Cancer Research Cell differentiation Clinical Medicine Computational Biology Densitometria òssia Density Endocrinology and Diabetes Endokrinologi och diabetes European Continental Ancestry Group Extracellular Matrix Proteins Extracellular Matrix Proteins - genetics Female Femur Femur Neck Femur Neck - physiopathology Fractures Fractures, Bone - genetics Fundamental and applied biological sciences. Psychology Fèmur Gene Expression Profiling Gene Function Gene loci Genes Genetic aspects Genetic Predisposition to Disease Genetics Genetics of eukaryotes. Biological and molecular evolution genetik Genome-Wide Association Study Genomics Genotype Gens Glycoproteins Glycoproteins - genetics Human Genetics Humans Identification and classification Intercellular Signaling Peptides and Proteins Intercellular Signaling Peptides and Proteins - genetics Klinisk medicin Low Density Lipoprotein Receptor-Related Protein-5 Low Density Lipoprotein Receptor-Related Protein-5 - genetics Lumbar Vertebrae Lumbar Vertebrae - physiopathology Male Medical and Health Sciences Medical research Medicin och hälsovetenskap Mitochondrial Membrane Transport Proteins Mitochondrial Membrane Transport Proteins - genetics Orthopaedics Ortopedi Osteoporosis Osteoporosis - genetics Phosphoproteins Phosphoproteins - genetics physiopathology Polymorphism Polymorphism, Single Nucleotide - genetics Quantitative Trait Loci Risk Factors Single Nucleotide Spectrin Spectrin - genetics Spine Stem cells Vèrtebres lumbars White People |
| Title | Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture |
| URI | https://link.springer.com/article/10.1038/ng.2249 https://www.ncbi.nlm.nih.gov/pubmed/22504420 https://www.proquest.com/docview/1021186132 https://www.proquest.com/docview/1010233087 https://www.proquest.com/docview/1034809203 https://recercat.cat/handle/2072/336913 https://pubmed.ncbi.nlm.nih.gov/PMC3338864 https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-54103 https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-176250 https://gup.ub.gu.se/publication/161420 |
| Volume | 44 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1tb9MwELZgExISmninMCaDYEhIYYntJM4nNMbGQGKgwaaKL5bf0lXa0tI0oP177pI0W7axD63U-Enq-Hy-s31-jpBX1lnwy2MW5FLLQBgBOmdB3VMj8ERXLPOarunrXrJ7IL4M42G74Fa2YZWLMbEeqN3E4hr5BqagjiQYH_Z--jvArFG4u9qm0LhJliPwRDB1QzrsJly4b9kchUtwnoTblCvNMXO5UYzegfHKetZoyZaV7YbmO1NdQjPlTX6LqxzQy3GU3WbqBeLR2ljt3CUrrZdJN5tucY_c8MV9cqvJO3n6gPz55IvJiQ_-jp2nJ36uA91yk9Cxa8KHfEnjhJpJAYBxzUxNHca6z08pmL8x1YWjyP4EvZdGor3Wito7isu7FMPW6SSnOZ7Eqmb-ITnY2f65tRu0CRgCK1M2D3IutGWp9tyBWwsTG5mYXGtjQs1swtLculhnRmaJzkCZrYt04lJueexyMP2OPyJLBVT0CaHCJ57HghnpU5EZK7PcSG610dAhUqsHZH0hCGVbdnJMknGs6l1yLlUxUiixAaEdcNoQclyGvEVJKjAZfmb1XCGFdvcDPyxMmeI8ySI-IC9R3gq5MAoMthnpqizV52-HapNJmcH4FSb_A_3Y74HetKB8AlW3uj3gAA2AHFs95GoPCRpte8Vrvb7XvSeLwXbFDO9fdEbVDjmlOlOQAXnRFeOjMYyu8JMKMcjUgSSQ12G4kGHGQmiax03_PqsAEt4JFg5I2uv5HQBbul9SjI9q0nLOuZSJgP9d6Mj5ql-Q3-tGeXqP_Tg-3FST2UhVJ5WKRYT1ux5XqQhMfQy1Xb8CN6qmCi6NKlV6BfOe-rV-XQFs5sGqJd86Usf1HdNzq-oqc1aEToTgemaREsakSuexUTwxPs0T0B7tn14vtGfkNvjirImlXSVL81nln4O_Ozdr9aAG33IrWiPLH7b3vu__A2v_sXc |
| linkProvider | ProQuest |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3dT9RAEN8gxmhiiN-eIq5GMDGp9Ha37fbBGAIiyIeJfIT4su5ut8cl0DuvVwn_lH-jM22vUEDeeLiHu_7a23Zmdma7M78h5J1NLMTlAfNSqaUnjACbs2DukRFY0RXItKRr2toO1_bEt4PgYIr8ndTCYFrlZE4sJ-pkYPEd-SK2oO5KcD7s8_C3h12jcHd10kKjUosNd3oCS7b80_oKyHeesdUvu8trXt1VwLMyYmMv5UJbFmnHE4jVIFqXoUm1NsbXzIYsSm0S6NjIONQxaKhNujpMIm55kKTgzxIO171FbmOlEXL1y-UmpQT3SavSuxDXZbgtOlOVtcvFrPcRnGXc8n7TNi9s4wruD3UOYkmrfhpXBbyX8zabzdsLRKelc1x9QGbqqJYuVWr4kEy57BG5U_W5PH1M_nx12eDYeSf9xNFjN9aerrlQaD-p0pVcToOQmkEGgH7JhE0TzK0fn1Jwt32qs4Qi2xRYC-2K-rdatVxC8XUyxTR5OkhpipVfxcg9IXs3IpqnZDqDgT4nVLjQ8UAwI10kYmNlnBrJrTYaFDCyukMWJoJQtmZDx6YcR6rcledSZT2FEusQ2gCHFQHIZcgHlKQCF-VGVo8VUnY3X_DD_IgpzsO4yzvkLcpbIfdGhsk9PV3kuVr_vq-WmJQxzJd--D_Qzo8W6H0NSgcwdKvrggp4AMjp1ULOtpAwg9jW4bmW7jX3yQLwlQHD8yfKqOopLldnBtkhb5rDeGlM28vcoEAMMoMg6eR1GC6kHzMfHs2zSr_PBoAEe4L5HRK1NL8B4JNuH8n6hyVJOudcylDA_05s5PzQL8hvvjKe1mVX-vtLajDqqeK4UIHo4viuxxWqC6FFAKNduALXK4YKfuoVKncK1lnlbf28Alitu1VN9nWojsozhufe4qs4scJPhA-hbtxVwphI6TQwiofGRWkI1qPdi-uF9prcXdvd2lSb69sbL8k9WAewKo93lkyPR4V7BbH22MyVExwlv256Rv0HGhLtWA |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1bT9RAFJ4gRGNiiHdXEUcjmJhUujPTdvpADAoIokhQCPFlnJlOl02gu9KthL_or_KctlsoIG887MNuv3anPdfpnPkOIa9tYiEvD5iXSi09YQTYnAVzj4zAHV2BTEu6pq-b4dqO-LwX7E2Qv-O9MFhWOfaJpaNOBhbfkS9gC-quhODDFtK6LGJrefX98LeHHaRwpXXcTkPXbRaSxZJurN7kseFOjmE6ly-uL4Ps5xhbXfnxcc2rOw54VkZs5KVcaMsi7XgCeRxk8jI0qdbG-JrZkEWpTQIdGxmHOgbttUlXh0nELQ-SFGJdwuG6N8hUBFEfJoJTH1Y2t7abNQ3s7VyuvYY4a8NF0-lq07tcyHrvIJTGrdg4afPCNoHizlDnILS06rZxWTp8saqzWdo9R4Nahs7Vu2S6znnpUqWk98iEy-6Tm1UXzJMH5M8nlw0OnXfcTxw9dCPt6ZophfaTqpjJ5TQIqRlkAOiXPNk0wcr70QmFYNynOksoclGBLdGuqH-rFc8lFF82Uyyip4OUprgvrDhyD8nOtQjnEZnMYKBPCBUudDwQzEgXidhYGadGcquNBvWMrO6Q-bEglK250rFlx4Eq1-y5VFlPocQ6hDbAYUUPchHyFiWpIIC5I6tHCgm9my_4YX7EFOdh3OUd8grlrZCZI0Md7-kiz9X6t121xKSMwZv64f9A37dboDc1KB3A0K2ut1vAA0DGrxZypoUE_2Jbh2dbutfcJwsgkgYMzx8ro6odYK5OzbVDXjaH8dJY1Je5QYEY5A1BSsqrMFxIP2Y-PJrHlX6fDgDp9wTzOyRqaX4DwCfdPpL190sKdc65lKGA_x3byNmhn5PfXGU8rcsu93eX1OCop4rDQgWii-O7GleoLiQeAYx2_hJcrxgq-KlXqNwpmIWVt_XzEmA1K1c1Fdi-OijPGJ55x6_ixAo_ET4kwnFXCWMipdPAKB4aF6UhWI92T68W2gtyC7yr-rK-ufGM3IZJAquKfGfI5OiocM8hER-Z2drDUfLrup3qP-HC-Gg |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Genome-wide+meta-analysis+identifies+56+bone+mineral+density+loci+and+reveals+14+loci+associated+with+risk+of+fracture&rft.jtitle=Nature+genetics&rft.date=2012-05-01&rft.pub=Nature+Publishing+Group&rft.issn=1061-4036&rft.volume=44&rft.issue=5&rft.spage=491&rft_id=info:doi/10.1038%2Fng.2249&rft.externalDBID=IOV&rft.externalDocID=A288979306 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1061-4036&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1061-4036&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1061-4036&client=summon |