The shared genetic architecture of modifiable risk for Alzheimer's disease: a genomic structural equation modelling study
•There is high genetic overlap between Alzheimer's disease modifiable risk factors•Genetic overlap forms distinct clusters of risk factors sharing common aetiology•Shared genetics among risk factors may underpin multimorbidity or cognitive reserve•Alzheimer's disease is genetically distinc...
Saved in:
Published in | Neurobiology of aging Vol. 117; pp. 222 - 235 |
---|---|
Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
01.09.2022
|
Subjects | |
Online Access | Get full text |
ISSN | 0197-4580 1558-1497 1558-1497 |
DOI | 10.1016/j.neurobiolaging.2022.02.016 |
Cover
Abstract | •There is high genetic overlap between Alzheimer's disease modifiable risk factors•Genetic overlap forms distinct clusters of risk factors sharing common aetiology•Shared genetics among risk factors may underpin multimorbidity or cognitive reserve•Alzheimer's disease is genetically distinct from its modifiable risk factors•Education-related genetics may moderate pathways between dementia and risk factors
Targeting modifiable risk factors may help to prevent Alzheimer's disease (AD), but the pathways by which these risk factors influence AD risk remain incompletely understood. We identified genome-wide association studies for AD and its major modifiable risk factors. We calculated the genetic correlation among these traits and modelled this using genomic structural equation modelling. We identified complex networks of genetic overlap among AD risk factors, but AD itself was largely genetically distinct. The data were best explained by a bi-factor model, incorporating a Common Factor for AD risk, and 3 orthogonal sub-clusters of risk factors. Taken together, our findings suggest that there is extensive shared genetic architecture between AD modifiable risk factors, but this is largely independent of AD genetic pathways. Extensive genetic pleiotropy between risk factors may influence AD indirectly by decreasing cognitive reserve or increasing risk of multimorbidity, leading to poorer brain health. Further work to understand the biology reflected by this communality may provide novel mechanistic insights that could help to prioritise targets for dementia prevention. |
---|---|
AbstractList | •There is high genetic overlap between Alzheimer's disease modifiable risk factors•Genetic overlap forms distinct clusters of risk factors sharing common aetiology•Shared genetics among risk factors may underpin multimorbidity or cognitive reserve•Alzheimer's disease is genetically distinct from its modifiable risk factors•Education-related genetics may moderate pathways between dementia and risk factors
Targeting modifiable risk factors may help to prevent Alzheimer's disease (AD), but the pathways by which these risk factors influence AD risk remain incompletely understood. We identified genome-wide association studies for AD and its major modifiable risk factors. We calculated the genetic correlation among these traits and modelled this using genomic structural equation modelling. We identified complex networks of genetic overlap among AD risk factors, but AD itself was largely genetically distinct. The data were best explained by a bi-factor model, incorporating a Common Factor for AD risk, and 3 orthogonal sub-clusters of risk factors. Taken together, our findings suggest that there is extensive shared genetic architecture between AD modifiable risk factors, but this is largely independent of AD genetic pathways. Extensive genetic pleiotropy between risk factors may influence AD indirectly by decreasing cognitive reserve or increasing risk of multimorbidity, leading to poorer brain health. Further work to understand the biology reflected by this communality may provide novel mechanistic insights that could help to prioritise targets for dementia prevention. Targeting modifiable risk factors may help to prevent Alzheimer's disease (AD), but the pathways by which these risk factors influence AD risk remain incompletely understood. We identified genome-wide association studies for AD and its major modifiable risk factors. We calculated the genetic correlation among these traits and modelled this using genomic structural equation modelling. We identified complex networks of genetic overlap among AD risk factors, but AD itself was largely genetically distinct. The data were best explained by a bi-factor model, incorporating a Common Factor for AD risk, and 3 orthogonal sub-clusters of risk factors. Taken together, our findings suggest that there is extensive shared genetic architecture between AD modifiable risk factors, but this is largely independent of AD genetic pathways. Extensive genetic pleiotropy between risk factors may influence AD indirectly by decreasing cognitive reserve or increasing risk of multimorbidity, leading to poorer brain health. Further work to understand the biology reflected by this communality may provide novel mechanistic insights that could help to prioritise targets for dementia prevention.Targeting modifiable risk factors may help to prevent Alzheimer's disease (AD), but the pathways by which these risk factors influence AD risk remain incompletely understood. We identified genome-wide association studies for AD and its major modifiable risk factors. We calculated the genetic correlation among these traits and modelled this using genomic structural equation modelling. We identified complex networks of genetic overlap among AD risk factors, but AD itself was largely genetically distinct. The data were best explained by a bi-factor model, incorporating a Common Factor for AD risk, and 3 orthogonal sub-clusters of risk factors. Taken together, our findings suggest that there is extensive shared genetic architecture between AD modifiable risk factors, but this is largely independent of AD genetic pathways. Extensive genetic pleiotropy between risk factors may influence AD indirectly by decreasing cognitive reserve or increasing risk of multimorbidity, leading to poorer brain health. Further work to understand the biology reflected by this communality may provide novel mechanistic insights that could help to prioritise targets for dementia prevention. Targeting modifiable risk factors may help to prevent Alzheimer's disease (AD), but the pathways by which these risk factors influence AD risk remain incompletely understood. We identified genome-wide association studies for AD and its major modifiable risk factors. We calculated the genetic correlation among these traits and modelled this using genomic structural equation modelling. We identified complex networks of genetic overlap among AD risk factors, but AD itself was largely genetically distinct. The data were best explained by a bi-factor model, incorporating a Common Factor for AD risk, and 3 orthogonal sub-clusters of risk factors. Taken together, our findings suggest that there is extensive shared genetic architecture between AD modifiable risk factors, but this is largely independent of AD genetic pathways. Extensive genetic pleiotropy between risk factors may influence AD indirectly by decreasing cognitive reserve or increasing risk of multimorbidity, leading to poorer brain health. Further work to understand the biology reflected by this communality may provide novel mechanistic insights that could help to prioritise targets for dementia prevention. |
Author | Mathlin, Georgina Noyce, Alastair J Dobson, Ruth Jacobs, Benjamin M Bhui, Kamaldeep S Marshall, Charles R Foote, Isabelle F Bothongo, Phazha LK Watson, Cameron J Korszun, Ania Waters, Sheena |
Author_xml | – sequence: 1 givenname: Isabelle F orcidid: 0000-0002-0253-4116 surname: Foote fullname: Foote, Isabelle F email: isabelle.foote@colorado.edu organization: Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Queen Mary University of London, London, UK – sequence: 2 givenname: Benjamin M surname: Jacobs fullname: Jacobs, Benjamin M organization: Preventive Neurology Unit, Wolfson Institute of Population Health, Queen Mary University of London, London, UK – sequence: 3 givenname: Georgina orcidid: 0000-0001-6475-9006 surname: Mathlin fullname: Mathlin, Georgina organization: Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Queen Mary University of London, London, UK – sequence: 4 givenname: Cameron J surname: Watson fullname: Watson, Cameron J organization: Preventive Neurology Unit, Wolfson Institute of Population Health, Queen Mary University of London, London, UK – sequence: 5 givenname: Phazha LK surname: Bothongo fullname: Bothongo, Phazha LK organization: Preventive Neurology Unit, Wolfson Institute of Population Health, Queen Mary University of London, London, UK – sequence: 6 givenname: Sheena surname: Waters fullname: Waters, Sheena organization: Preventive Neurology Unit, Wolfson Institute of Population Health, Queen Mary University of London, London, UK – sequence: 7 givenname: Ruth orcidid: 0000-0002-2993-585X surname: Dobson fullname: Dobson, Ruth organization: Preventive Neurology Unit, Wolfson Institute of Population Health, Queen Mary University of London, London, UK – sequence: 8 givenname: Alastair J surname: Noyce fullname: Noyce, Alastair J organization: Preventive Neurology Unit, Wolfson Institute of Population Health, Queen Mary University of London, London, UK – sequence: 9 givenname: Kamaldeep S surname: Bhui fullname: Bhui, Kamaldeep S organization: Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Queen Mary University of London, London, UK – sequence: 10 givenname: Ania surname: Korszun fullname: Korszun, Ania organization: Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Queen Mary University of London, London, UK – sequence: 11 givenname: Charles R surname: Marshall fullname: Marshall, Charles R organization: Preventive Neurology Unit, Wolfson Institute of Population Health, Queen Mary University of London, London, UK |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35797766$$D View this record in MEDLINE/PubMed |
BookMark | eNqNkU9v1DAQxS1URLeFr4B8QIJLFjtx7ARxKeVPK1XiUs7WxJnseuvEre1UWj49Trcg0VOlkXzwez_NvHdCjiY_ISHvOFtzxuXH3XrCOfjOegcbO23WJSvLNcvD5Quy4nXdFFy06oisGG9VIeqGHZOTGHeMMSWUfEWOq1q1Skm5IvvrLdK4hYA93eCEyRoKwWxtQpPmgNQPdPS9HSx0Dmmw8YYOPtAz93uLdsTwPtLeRoSInygsCD9mRExhXvzgKN7NkKyfFgw6lzfOv3O_f01eDuAivnl8T8mv79-uzy-Kq58_Ls_PrgpTM54Kxauub02DAiSUg1FViY1shGhBDgOruGAg606oWnZVxxQsJzZV0wKAkCCqU_LhwL0N_m7GmPRoo8mbwIR-jrqUjVJlxdUiffsonbsRe30b7Ahhr__GlQWfDwITfIwBh38SzvTSjt7p_9vRSzua5eGL_csTu7HpIZwUwLrnQr4eIJhDu7cYtMmhWgPuBve69_Z5mD-pn7ic |
CitedBy_id | crossref_primary_10_1038_s41398_024_03152_y crossref_primary_10_1186_s40708_022_00183_3 crossref_primary_10_1192_bjp_2022_184 crossref_primary_10_1002_alz_13427 |
Cites_doi | 10.1038/s41588-022-01057-4 10.1136/jnnp-2012-302755 10.1038/s41588-018-0333-3 10.1016/j.cell.2019.11.020 10.1016/j.jalz.2015.06.1885 10.1016/j.jalz.2018.09.009 10.1038/ng.3211 10.1007/s11135-017-0469-8 10.1136/bmj.j5375 10.1111/acel.13197 10.1037/a0015713 10.1001/archpsyc.64.2.234 10.1001/jama.2013.285112 10.1016/j.lanepe.2022.100321 10.1038/s41588-018-0311-9 10.1016/S2214-109X(19)30074-9 10.1007/s00415-016-8208-y 10.1002/ajmg.b.32807 10.1093/bioinformatics/btw613 10.1038/s41467-020-18534-1 10.1038/s41380-018-0246-7 10.1038/s41588-022-01024-z 10.1038/s41588-019-0379-x 10.1136/bmj.j2856 10.1016/j.pharmthera.2019.03.005 10.1093/brain/awaa429 10.1016/j.neurobiolaging.2021.04.018 10.1038/s41562-019-0566-x 10.1038/s41588-021-00921-z 10.3233/JAD-210089 10.1038/s41588-018-0144-6 10.1097/EDE.0b013e31816bbe14 10.1016/S1474-4422(19)30228-5 10.1038/ng.3406 10.2337/db16-1253 10.1136/bmjopen-2020-038753 10.3389/fpubh.2018.00181 10.1038/nrneurol.2017.63 10.1016/j.ajhg.2014.12.021 10.1038/ng.2876 10.1038/s41593-018-0101-9 10.1001/jamainternmed.2016.6807 10.1136/bmjopen-2018-022846 10.1007/s00401-017-1685-y 10.1016/S2468-2667(19)30219-1 10.1016/S0140-6736(20)30367-6 10.1038/s41588-018-0090-3 10.1038/s41467-019-10101-7 10.1136/jnnp-2019-321896 10.1371/journal.pmed.1002933 10.1002/ana.25918 10.1016/j.cub.2016.09.035 10.1186/s40478-021-01199-2 10.1002/ajmg.b.32652 10.1016/S0006-3223(00)01077-5 10.1016/S0140-6736(18)32279-7 10.1002/ana.25910 10.1038/s41588-019-0358-2 10.1038/s41588-020-00776-w 10.1016/j.neubiorev.2019.06.018 10.1093/ije/dyz280 10.1207/s15328007sem1302_2 10.1111/acel.12779 10.1186/1479-5868-7-39 |
ContentType | Journal Article |
Copyright | 2022 Elsevier Inc. Copyright © 2022 Elsevier Inc. All rights reserved. |
Copyright_xml | – notice: 2022 Elsevier Inc. – notice: Copyright © 2022 Elsevier Inc. All rights reserved. |
DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 |
DOI | 10.1016/j.neurobiolaging.2022.02.016 |
DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic |
DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
DatabaseTitleList | MEDLINE - Academic MEDLINE |
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 |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Anatomy & Physiology |
EISSN | 1558-1497 |
EndPage | 235 |
ExternalDocumentID | 35797766 10_1016_j_neurobiolaging_2022_02_016 S0197458022001312 |
Genre | Research Support, Non-U.S. Gov't Journal Article |
GrantInformation_xml | – fundername: Medical Research Council grantid: MR/V028766/1 |
GroupedDBID | --- --K --M -~X .1- .FO .GJ .~1 0R~ 123 1B1 1P~ 1RT 1~. 1~5 29N 4.4 457 4G. 53G 5RE 5VS 7-5 71M 8P~ 9JM 9JO AABNK AADFP AAEDT AAEDW AAGJA AAGUQ AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AATTM AAXKI AAXLA AAXUO AAYWO ABBQC ABCQJ ABFNM ABFRF ABGSF ABIVO ABJNI ABLJU ABMAC ABMZM ABOYX ABUDA ABWVN ABXDB ACDAQ ACGFO ACGFS ACIEU ACIUM ACRLP ACRPL ACVFH ACXNI ADBBV ADCNI ADEZE ADMUD ADNMO ADUVX AEBSH AEFWE AEHWI AEIPS AEKER AENEX AEUPX AEVXI AFJKZ AFPUW AFRHN AFTJW AFXIZ AGCQF AGHFR AGQPQ AGRDE AGUBO AGWIK AGYEJ AHHHB AIEXJ AIGII AIIUN AIKHN AITUG AJRQY AJUYK AKBMS AKRLJ AKRWK AKYEP ALMA_UNASSIGNED_HOLDINGS AMRAJ ANKPU ANZVX APXCP ASPBG AVWKF AXJTR AZFZN BKOJK BLXMC BNPGV CS3 DU5 EBS EFJIC EFKBS EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA HDW HMK HMO HMQ HVGLF HZ~ IHE J1W KOM LX8 M29 M2V M41 MO0 MOBAO MVM N9A O-L O9- OAUVE OD~ OKEIE OO0 OZT P-8 P-9 P2P PC. Q38 R2- ROL RPZ SAE SCC SDF SDG SDP SEL SES SEW SNS SPCBC SSB SSH SSN SSU SSY SSZ T5K WUQ Z5R ZGI ~G- AAYXX AFCTW AGRNS CITATION RIG CGR CUY CVF ECM EIF NPM 7X8 EFLBG |
ID | FETCH-LOGICAL-c501t-713bd9c8e4a6a2fc732e868449a6ff03140a65b4756b3b07a74768389aaa46a43 |
ISSN | 0197-4580 1558-1497 |
IngestDate | Fri Sep 05 11:55:27 EDT 2025 Mon Jul 21 06:03:50 EDT 2025 Tue Jul 01 01:28:30 EDT 2025 Thu Apr 24 23:03:32 EDT 2025 Tue Aug 26 16:40:59 EDT 2025 |
IsDoiOpenAccess | false |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Keywords | EFA AD GWAS Risk factors Dementia prevention SNP Shared genetics LD SEM APOE Alzheimer's disease genomic SEM Dementia CFA |
Language | English |
License | Copyright © 2022 Elsevier Inc. All rights reserved. |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-c501t-713bd9c8e4a6a2fc732e868449a6ff03140a65b4756b3b07a74768389aaa46a43 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ORCID | 0000-0001-6475-9006 0000-0002-0253-4116 0000-0002-2993-585X |
OpenAccessLink | https://qmro.qmul.ac.uk/xmlui/handle/123456789/79699 |
PMID | 35797766 |
PQID | 2687723174 |
PQPubID | 23479 |
PageCount | 14 |
ParticipantIDs | proquest_miscellaneous_2687723174 pubmed_primary_35797766 crossref_primary_10_1016_j_neurobiolaging_2022_02_016 crossref_citationtrail_10_1016_j_neurobiolaging_2022_02_016 elsevier_clinicalkey_doi_10_1016_j_neurobiolaging_2022_02_016 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | September 2022 2022-09-00 20220901 |
PublicationDateYYYYMMDD | 2022-09-01 |
PublicationDate_xml | – month: 09 year: 2022 text: September 2022 |
PublicationDecade | 2020 |
PublicationPlace | United States |
PublicationPlace_xml | – name: United States |
PublicationTitle | Neurobiology of aging |
PublicationTitleAlternate | Neurobiol Aging |
PublicationYear | 2022 |
Publisher | Elsevier Inc |
Publisher_xml | – name: Elsevier Inc |
References | Tarka (bib0054) 2018; 52 Aschard, Vilhjálmsson, Joshi, Price, Kraft (bib0004) 2015; 96 Grotzinger, Rhemtulla, de Vlaming, Ritchie, Mallard, Hill, Ip, Marioni, McIntosh, Deary, Koellinger, Harden, Nivard, Tucker-Drob (bib0017) 2019; 3 Yoo, Mayberry, Bae, Singh, Peter He, Lillard (bib0064) 2014; 4 Zhang, Sidorenko, Couvy-Duchesne, Marioni, Wright, Goate, Marcora, Huang, Porter, Laws, Masters, Bush, Fowler, Darby, Pertile, Restrepo, Roberts, Robertson, Rumble, Ryan, Collins, Thai, Trounson, Lennon, Li, Ugarte, Volitakis, Vovos, Williams, Baker, Russell, Peretti, Milicic, Lim, Rodrigues, Taddei, Taddei, Hone, Lim, Fernandez, Rainey-Smith, Pedrini, Martins, Doecke, Bourgeat, Fripp, Gibson, Leroux, Hanson, Dore, Zhang, Burnham, Rowe, Villemagne, Yates, Pejoska, Jones, Ames, Cyarto, Lautenschlager, Barnham, Cheng, Hill, Killeen, Maruff, Silbert, Brown, Sohrabi, Savage, Vacher, Sachdev, Mather, Armstrong, Thalamuthu, Brodaty, Yengo, Yang, Wray, McRae, Visscher, Australian Imaging, Lifestyle (bib0065) 2020; 11 Lord, Zettergren, Ashton, Karikari, Benedet, Simrén, Hye, Aarsland, Blennow, Zetterberg, Proitsi (bib0042) 2021 Kunkle, Grenier-Boley, Sims, Bis, Damotte, Naj, Boland, Vronskaya, van der Lee, Amlie-Wolf, Bellenguez, Frizatti, Chouraki, Martin, Sleegers, Badarinarayan, Jakobsdottir, Hamilton-Nelson, Moreno-Grau, Olaso, Raybould, Chen, Kuzma, Hiltunen, Morgan, Ahmad, Vardarajan, Epelbaum, Hoffmann, Boada, Beecham, Garnier, Harold, Fitzpatrick, Valladares, Moutet, Gerrish, Smith, Qu, Bacq, Denning, Jian, Zhao, Del Zompo, Fox, Choi, Mateo, Hughes, Adams, Malamon, Sanchez-Garcia, Patel, Brody, Dombroski, Naranjo, Daniilidou, Eiriksdottir, Mukherjee, Wallon, Uphill, Aspelund, Cantwell, Garzia, Galimberti, Hofer, Butkiewicz, Fin, Scarpini, Sarnowski, Bush, Meslage, Kornhuber, White, Song, Barber, Engelborghs, Sordon, Voijnovic, Adams, Vandenberghe, Mayhaus, Cupples, Albert, De Deyn, Gu, Himali, Beekly, Squassina, Hartmann, Orellana, Blacker, Rodriguez-Rodriguez, Lovestone, Garcia, Doody, Munoz-Fernadez, Sussams, Lin, Fairchild, Benito, Holmes, Karamujic-Comic, Frosch, Thonberg, Maier, Roschupkin, Ghetti, Giedraitis, Kawalia, Li, Huebinger, Kilander, Moebus, Hernandez, Kamboh, Brundin, Turton, Yang, Katz, Concari, Lord, Beiser, Keene, Helisalmi, Kloszewska, Kukull, Koivisto, Lynch, Tarraga, Larson, Haapasalo, Lawlor, Mosley, Lipton, Solfrizzi, Gill, Longstreth, Montine, Frisardi, Diez-Fairen, Rivadeneira, Petersen, Deramecourt, Alvarez, Salani, Ciaramella, Boerwinkle, Reiman, Fievet, Rotter, Reisch, Hanon, Cupidi, Andre Uitterlinden, Royall, Dufouil, Maletta, de Rojas, Sano, Brice, Cecchetti, George-Hyslop, Ritchie, Tsolaki, Tsuang, Dubois, Craig, Wu, Soininen, Avramidou, Albin, Fratiglioni, Germanou, Apostolova, Keller, Koutroumani, Arnold, Panza, Gkatzima, Asthana, Hannequin, Whitehead, Atwood, Caffarra, Hampel, Quintela, Carracedo, Lannfelt, Rubinsztein, Barnes, Pasquier, Frolich, Barral, McGuinness, Beach, Johnston, Becker, Passmore, Bigio, Schott, Bird, Warren, Boeve, Lupton, Bowen, Proitsi, Boxer, Powell, Burke, Kauwe, Burns, Mancuso, Buxbaum, Bonuccelli, Cairns, McQuillin, Cao, Livingston, Carlson, Bass, Carlsson, Hardy, Carney, Bras, Carrasquillo, Guerreiro, Allen, Chui, Fisher, Masullo, Crocco, DeCarli, Bisceglio, Dick, Ma, Duara, Graff-Radford, Evans, Hodges, Faber, Scherer, Fallon, Riemenschneider, Fardo, Heun, Farlow, Kolsch, Ferris, Leber, Foroud, Heuser, Galasko, Giegling, Gearing, Hull, Geschwind, Gilbert, Morris, Green, Mayo, Growdon, Feulner, Hamilton, Harrell, Drichel, Honig, Cushion, Huentelman, Hollingworth, Hulette, Hyman, Marshall, Jarvik, Meggy, Abner, Menzies, Jin, Leonenko, Real, Jun, Baldwin, Grozeva, Karydas, Russo, Kaye, Kim, Jessen, Kowall, Vellas, Kramer, Vardy, LaFerla, Jockel, Lah, Dichgans, Leverenz, Mann, Levey, Pickering-Brown, Lieberman, Klopp, Lunetta, Wichmann, Lyketsos, Morgan, Marson, Brown, Martiniuk, Medway, Mash, Nothen, Masliah, Hooper, McCormick, Daniele, McCurry, Bayer, McDavid, Gallacher, McKee, van den Bussche, Mesulam, Brayne, Miller, Riedel-Heller, Miller, Miller, Al-Chalabi, Morris, Shaw, Myers, Wiltfang, O'Bryant, Olichney, Alvarez, Parisi, Singleton, Paulson, Collinge, Perry, Mead, Peskind, Cribbs, Rossor, Pierce, Ryan, Poon, Nacmias, Potter, Sorbi, Quinn, Sacchinelli, Raj, Spalletta, Raskind, Caltagirone, Bossu, Orfei, Reisberg, Clarke, Reitz, Smith, Ringman, Warden, Roberson, Wilcock, Rogaeva, Bruni, Rosen, Gallo, Rosenberg, Ben-Shlomo, Sager, Mecocci, Saykin, Pastor, Cuccaro, Vance, Schneider, Schneider, Slifer, Seeley, Smith, Sonnen, Spina, Stern, Swerdlow, Tang, Tanzi, Trojanowski, Troncoso, Van Deerlin, Van Eldik, Vinters, Vonsattel, Weintraub, Welsh-Bohmer, Wilhelmsen, Williamson, Wingo, Woltjer, Wright, Yu, Yu, Saba, Alzheimer Disease Genetics, European Alzheimer's Disease, Cohorts for, Aging Research in Genomic Epidemiology, Genetic, Environmental Risk in Ad/Defining Genetic, Environmental Risk for Alzheimer's Disease, Pilotto, Bullido, Peters, Crane, Bennett, Bosco, Coto, Boccardi, De Jager, Lleo, Warner, Lopez, Ingelsson, Deloukas, Cruchaga, Graff, Gwilliam, Fornage, Goate, Sanchez-Juan, Kehoe, Amin, Ertekin-Taner, Berr, Debette, Love, Launer, Younkin, Dartigues, Corcoran, Ikram, Dickson, Nicolas, Campion, Tschanz, Schmidt, Hakonarson, Clarimon, Munger, Schmidt, Farrer, Van Broeckhoven, M, DeStefano, Jones, Haines, Deleuze, Owen, Gudnason, Mayeux, Escott-Price, Psaty, Ramirez, Wang, Ruiz, van Duijn, Holmans, Seshadri, Williams, Amouyel, Schellenberg, Lambert, Pericak-Vance (bib0032) 2019; 51 Leng, Ackley, Glymour, Yaffe, Brenowitz (bib0037) 2021; 89 Kulminski, Huang, Wang, He, Loika, Culminskaya (bib0030) 2018; 17 Perera, Rijnbeek, Alexander, Ansell, Avillach, Duarte-Salles, Gordon, Lapi, Mayer, Pasqua, Pedersen, van Der Lei, Visser, Stewart (bib0047) 2020; 10 Martin, Kanai, Kamatani, Okada, Neale, Daly (bib0044) 2019; 51 Hagenaars, Coleman, Choi, Gaspar, Adams, Howard, Hodgson, Traylor, Air, Andlauer, Arolt, Baune, Binder, Blackwood, Boomsma, Campbell, Cearns, Czamara, Dannlowski, Domschke, de Geus, Hamilton, Hayward, Hickie, Hottenga, Ising, Jones, Jones, Kutalik, Lucae, Martin, Milaneschi, Mueller-Myhsok, Owen, Padmanabhan, Penninx, Pistis, Porteous, Preisig, Ripke, Shyn, Sullivan, Whitfield, Wray, McIntosh, Deary, Breen, Lewis (bib0018) 2020; 183 Reynolds, Tan, Munoz, Jylhävä, Hjelmborg, Christiansen, Hägg, Pedersen (bib0049) 2020; 19 Yan (bib70) 2021; 26 Warburton, Charlesworth, Ivey, Nettlefold, Bredin (bib0056) 2010; 7 Livingston, Huntley, Sommerlad, Ames, Ballard, Banerjee, Brayne, Burns, Cohen-Mansfield, Cooper, Costafreda, Dias, Fox, Gitlin, Howard, Kales, Kivimäki, Larson, Ogunniyi, Orgeta, Ritchie, Rockwood, Sampson, Samus, Schneider, Selbæk, Teri, Mukadam (bib0040) 2020; 396 Schwartzentruber, Cooper, Liu, Barrio-Hernandez, Bello, Kumasaka, Young, Franklin, Johnson, Estrada, Gaffney, Beltrao, Bassett (bib0051) 2021; 53 Jansen, Watanabe, Stringer, Skene, Bryois, Hammerschlag, de Leeuw, Benjamins, Munoz-Manchado, Nagel, Savage, Tiemeier, White, Me Research, Tung, Hinds, Vacic, Wang, Sullivan, van der Sluis, Polderman, Smit, Hjerling-Leffler, Van Someren, Posthuma (bib0026) 2019; 51 James, Abate, Abate, Abay, Abbafati, Abbasi, Abbastabar, Abd-Allah, Abdela, Abdelalim, Abdollahpour, Abdulkader, Abebe, Abera, Abil, Abraha, Abu-Raddad, Abu-Rmeileh, Accrombessi, Acharya, Acharya, Ackerman, Adamu, Adebayo, Adekanmbi, Adetokunboh, Adib, Adsuar, Afanvi, Afarideh, Afshin, Agarwal, Agesa, Aggarwal, Aghayan, Agrawal, Ahmadi, Ahmadi, Ahmadieh, Ahmed, Aichour, Aichour, Aichour, Akinyemiju, Akseer, Al-Aly, Al-Eyadhy, Al-Mekhlafi, Al-Raddadi, Alahdab, Alam, Alam, Alashi, Alavian, Alene, Alijanzadeh, Alizadeh-Navaei, Aljunid, Alkerwi, Alla, Allebeck, Alouani, Altirkawi, Alvis-Guzman, Amare, Aminde, Ammar, Amoako, Anber, Andrei, Androudi, Animut, Anjomshoa, Ansha, Antonio, Anwari, Arabloo, Arauz, Aremu, Ariani, Armoon, Ärnlöv, Arora, Artaman, Aryal, Asayesh, Asghar, Ataro, Atre, Ausloos, Avila-Burgos, Avokpaho, Awasthi, Ayala Quintanilla, Ayer, Azzopardi, Babazadeh, Badali, Badawi, Bali, Ballesteros, Ballew, Banach, Banoub, Banstola, Barac, Barboza, Barker-Collo, Bärnighausen, Barrero, Baune, Bazargan-Hejazi, Bedi, Beghi, Behzadifar, Behzadifar, Béjot, Belachew, Belay, Bell, Bello, Bensenor, Bernabe, Bernstein, Beuran, Beyranvand, Bhala, Bhattarai, Bhaumik, Bhutta, Biadgo, Bijani, Bikbov, Bilano, Bililign, Bin Sayeed, Bisanzio, Blacker, Blyth, Bou-Orm, Boufous, Bourne, Brady, Brainin, Brant, Brazinova, Breitborde, Brenner, Briant, Briggs, Briko, Britton, Brugha, Buchbinder, Busse, Butt, Cahuana-Hurtado, Cano, Cárdenas, Carrero, Carter, Carvalho, Castañeda-Orjuela, Castillo Rivas, Castro, Catalá-López, Cercy, Cerin, Chaiah, Chang, Chang, Chang, Charlson, Chattopadhyay, Chattu, Chaturvedi, Chiang, Chin, Chitheer, Choi, Chowdhury, Christensen, Christopher, Cicuttini, Ciobanu, Cirillo, Claro, Collado-Mateo, Cooper, Coresh, Cortesi, Cortinovis, Costa, Cousin, Criqui, Cromwell, Cross, Crump, Dadi, Dandona, Dandona, Dargan, Daryani, Das Gupta, Das Neves, Dasa, Davey, Davis, Davitoiu, De Courten, De La Hoz, De Leo, De Neve, Degefa, Degenhardt, Deiparine, Dellavalle, Demoz, Deribe, Dervenis, Des Jarlais, Dessie, Dey, Dharmaratne, Dinberu, Dirac, Djalalinia, Doan, Dokova, Doku, Dorsey, Doyle, Driscoll, Dubey, Dubljanin, Duken, Duncan, Duraes, Ebrahimi, Ebrahimpour, Echko, Edvardsson, Effiong, Ehrlich, El Bcheraoui, El Sayed Zaki, El-Khatib, Elkout, Elyazar, Enayati, Endries, Er, Erskine, Eshrati, Eskandarieh, Esteghamati, Esteghamati, Fakhim, Fallah Omrani, Faramarzi, Fareed, Farhadi, Farid, Farinha, Farioli, Faro, Farvid, Farzadfar, Feigin, Fentahun, Fereshtehnejad, Fernandes, Fernandes, Ferrari, Feyissa, Filip, Fischer, Fitzmaurice, Foigt, Foreman, Fox, Frank, Fukumoto, Fullman, Fürst, Furtado, Futran, Gall, Ganji, Gankpe, Garcia-Basteiro, Gardner, Gebre, Gebremedhin, Gebremichael, Gelano, Geleijnse, Genova-Maleras, Geramo, Gething, Gezae, Ghadiri, Ghasemi Falavarjani, Ghasemi-Kasman, Ghim Lane (10.1016/j.neurobiolaging.2022.02.016_bib0033) 2019; 18 Eid (10.1016/j.neurobiolaging.2022.02.016_bib0015) 2019; 199 Wilson (10.1016/j.neurobiolaging.2022.02.016_bib0059) 2007; 64 Bellenguez (10.1016/j.neurobiolaging.2022.02.016_bib0067) 2022; 54 Hagenaars (10.1016/j.neurobiolaging.2022.02.016_bib0018) 2020; 183 Andrews (10.1016/j.neurobiolaging.2022.02.016_bib0003) 2021; 89 Holford (10.1016/j.neurobiolaging.2022.02.016_bib0022) 2014; 311 Jansen (10.1016/j.neurobiolaging.2022.02.016_bib0026) 2019; 51 Wray (10.1016/j.neurobiolaging.2022.02.016_bib0060) 2018; 50 Loh (10.1016/j.neurobiolaging.2022.02.016_bib0041) 2018; 50 Wightman (10.1016/j.neurobiolaging.2022.02.016_bib0058) 2021; 53 Dunn (10.1016/j.neurobiolaging.2022.02.016_bib0014) 2019; 103 Li (10.1016/j.neurobiolaging.2022.02.016_bib0039) 2019; 10 Wu (10.1016/j.neurobiolaging.2022.02.016_bib0061) 2017; 13 Tarka (10.1016/j.neurobiolaging.2022.02.016_bib0054) 2018; 52 Leng (10.1016/j.neurobiolaging.2022.02.016_bib0037) 2021; 89 Perera (10.1016/j.neurobiolaging.2022.02.016_bib0047) 2020; 10 Anderson (10.1016/j.neurobiolaging.2022.02.016_bib0002) 2020; 49 Brainstorm (10.1016/j.neurobiolaging.2022.02.016_bib0009) 2018; 360 Peters (10.1016/j.neurobiolaging.2022.02.016_bib0048) 2019; 9 Martin (10.1016/j.neurobiolaging.2022.02.016_bib0044) 2019; 51 Holwerda (10.1016/j.neurobiolaging.2022.02.016_bib0023) 2014; 85 Kukull (10.1016/j.neurobiolaging.2022.02.016_bib0029) 2001; 49 Kulminski (10.1016/j.neurobiolaging.2022.02.016_bib0031) 2020; 12 Kulminski (10.1016/j.neurobiolaging.2022.02.016_bib0030) 2018; 17 Yan (10.1016/j.neurobiolaging.2022.02.016_bib70) 2021; 26 Langa (10.1016/j.neurobiolaging.2022.02.016_bib0034) 2017; 177 Zheng (10.1016/j.neurobiolaging.2022.02.016_bib0066) 2016; 33 Lewer (10.1016/j.neurobiolaging.2022.02.016_bib0038) 2020; 5 Mukadam (10.1016/j.neurobiolaging.2022.02.016_bib0045) 2019; 7 Xu (10.1016/j.neurobiolaging.2022.02.016_bib0062) 2020; 91 Brommelhoff (10.1016/j.neurobiolaging.2022.02.016_bib0010) 2009; 24 Hill (10.1016/j.neurobiolaging.2022.02.016_bib0021) 2016; 26 Kunkle (10.1016/j.neurobiolaging.2022.02.016_bib0032) 2019; 51 Scott (10.1016/j.neurobiolaging.2022.02.016_bib0052) 2017; 66 Nativio (10.1016/j.neurobiolaging.2022.02.016_bib0046) 2018; 21 Warburton (10.1016/j.neurobiolaging.2022.02.016_bib0056) 2010; 7 Bulik-Sullivan (10.1016/j.neurobiolaging.2022.02.016_bib0012) 2015; 47 Lord (10.1016/j.neurobiolaging.2022.02.016_bib0042) 2021 Bothongo (10.1016/j.neurobiolaging.2022.02.016_bib0008) 2022; 15 Deming (10.1016/j.neurobiolaging.2022.02.016_bib0013) 2017; 133 Tylee (10.1016/j.neurobiolaging.2022.02.016_bib0055) 2018; 177 Yoo (10.1016/j.neurobiolaging.2022.02.016_bib0064) 2014; 4 Ma (10.1016/j.neurobiolaging.2022.02.016_bib0043) 2019; 16 Weuve (10.1016/j.neurobiolaging.2022.02.016_bib0057) 2015; 11 Ahmadi-Abhari (10.1016/j.neurobiolaging.2022.02.016_bib0001) 2017; 358 Grotzinger (10.1016/j.neurobiolaging.2022.02.016_bib0017) 2019; 3 Schwartzentruber (10.1016/j.neurobiolaging.2022.02.016_bib0051) 2021; 53 Jitlal (10.1016/j.neurobiolaging.2022.02.016_bib0027) 2021; 81 Hardy (10.1016/j.neurobiolaging.2022.02.016_bib0019) 2016; 263 Johnson (10.1016/j.neurobiolaging.2022.02.016_bib0028) 2020; 144 Hernán (10.1016/j.neurobiolaging.2022.02.016_bib0020) 2008; 19 James (10.1016/j.neurobiolaging.2022.02.016_bib0024) 2018; 392 Sproviero (10.1016/j.neurobiolaging.2022.02.016_bib0053) 2020 Yang (10.1016/j.neurobiolaging.2022.02.016_bib0063) 2014; 46 Aschard (10.1016/j.neurobiolaging.2022.02.016_bib0004) 2015; 96 Grotzinger (10.1016/j.neurobiolaging.2022.02.016_bib68) 2022; 54 Babulal (10.1016/j.neurobiolaging.2022.02.016_bib0005) 2019; 15 Beauducel (10.1016/j.neurobiolaging.2022.02.016_bib0006) 2006; 13 Zhang (10.1016/j.neurobiolaging.2022.02.016_bib0065) 2020; 11 Livingston (10.1016/j.neurobiolaging.2022.02.016_bib0040) 2020; 396 Bulik-Sullivan (10.1016/j.neurobiolaging.2022.02.016_bib0011) 2015; 47 Jansen (10.1016/j.neurobiolaging.2022.02.016_bib0025) 2019; 51 Larsson (10.1016/j.neurobiolaging.2022.02.016_bib0035) 2017; 359 Reddy (10.1016/j.neurobiolaging.2022.02.016_bib69) 2021; 9 Lee (10.1016/j.neurobiolaging.2022.02.016_bib0036) 2019; 179 Reynolds (10.1016/j.neurobiolaging.2022.02.016_bib0049) 2020; 19 Ryan (10.1016/j.neurobiolaging.2022.02.016_bib0050) 2018; 6 |
References_xml | – volume: 50 start-page: 668 year: 2018 end-page: 681 ident: bib0060 article-title: Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression publication-title: Nat. Genet. – volume: 11 start-page: 1098 year: 2015 end-page: 1109 ident: bib0057 article-title: Guidelines for reporting methodological challenges and evaluating potential bias in dementia research publication-title: Alzheimers dement. – volume: 96 start-page: 329 year: 2015 end-page: 339 ident: bib0004 article-title: Adjusting for heritable covariates can bias effect estimates in genome-wide association studies publication-title: Am. J. Hum. Genet. – volume: 51 start-page: 414 year: 2019 end-page: 430 ident: bib0032 article-title: Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Abeta, tau, immunity and lipid processing publication-title: Nat. Genet. – volume: 10 year: 2020 ident: bib0047 article-title: Vascular and metabolic risk factor differences prior to dementia diagnosis: a multidatabase case–control study using European electronic health records publication-title: BMJ Open – volume: 11 start-page: 4799 year: 2020 ident: bib0065 article-title: Risk prediction of late-onset Alzheimer's disease implies an oligogenic architecture publication-title: Nat. Commun. – volume: 47 start-page: 291 year: 2015 end-page: 295 ident: bib0012 article-title: LD score regression distinguishes confounding from polygenicity in genome-wide association studies publication-title: Nat. Genet. – volume: 9 year: 2019 ident: bib0048 article-title: Combining modifiable risk factors and risk of dementia: a systematic review and meta-analysis publication-title: BMJ Open – volume: 16 year: 2019 ident: bib0043 article-title: Variation in blood pressure and long-term risk of dementia: a population-based cohort study publication-title: PLOS Med. – volume: 46 start-page: 100 year: 2014 end-page: 106 ident: bib0063 article-title: Advantages and pitfalls in the application of mixed-model association methods publication-title: Nat. Genet. – volume: 24 start-page: 373 year: 2009 end-page: 384 ident: bib0010 article-title: Depression as a risk factor or prodromal feature for dementia? Findings in a population-based sample of Swedish twins publication-title: Psychol. Aging – volume: 26 start-page: 309 year: 2021 end-page: 321 ident: bib70 article-title: Genome-wide association study of brain amyloid deposition as measured by Pittsburgh Compound-B (PiB)-PET imaging publication-title: Molecular Psychiatry – volume: 21 start-page: 497 year: 2018 end-page: 505 ident: bib0046 article-title: Dysregulation of the epigenetic landscape of normal aging in Alzheimer's disease publication-title: Nat. Neurosci. – volume: 26 start-page: 3083 year: 2016 end-page: 3089 ident: bib0021 article-title: Molecular genetic contributions to social deprivation and household income in UK Biobank publication-title: Curr. Biol. – volume: 396 start-page: 413 year: 2020 end-page: 446 ident: bib0040 article-title: Dementia prevention, intervention, and care: 2020 report of the Lancet Commission publication-title: The Lancet – volume: 18 start-page: 942 year: 2019 end-page: 952 ident: bib0033 article-title: Associations between blood pressure across adulthood and late-life brain structure and pathology in the neuroscience substudy of the 1946 British birth cohort (Insight 46): an epidemiological study publication-title: Lancet Neurol. – volume: 6 start-page: 181 year: 2018 ident: bib0050 article-title: Phenotypic heterogeneity in dementia: a challenge for epidemiology and biomarker studies publication-title: Front Public Health – volume: 52 start-page: 313 year: 2018 end-page: 354 ident: bib0054 article-title: An overview of structural equation modeling: its beginnings, historical development, usefulness and controversies in the social sciences publication-title: Qual. Quant, – volume: 263 start-page: 2339 year: 2016 end-page: 2354 ident: bib0019 article-title: Hearing and dementia publication-title: J. Neurol. – volume: 5 start-page: e33 year: 2020 end-page: e41 ident: bib0038 article-title: Premature mortality attributable to socioeconomic inequality in England between 2003 and 2018: an observational study publication-title: Lancet Public Health – volume: 47 start-page: 1236 year: 2015 end-page: 1241 ident: bib0011 article-title: An atlas of genetic correlations across human diseases and traits publication-title: Nat. Genet. – volume: 19 year: 2008 ident: bib0020 article-title: Cigarette smoking and dementia: potential selection bias in the elderly publication-title: Epidemiology – volume: 85 start-page: 135 year: 2014 end-page: 142 ident: bib0023 article-title: Feelings of loneliness, but not social isolation, predict dementia onset: results from the Amsterdam Study of the Elderly (AMSTEL) publication-title: J. Neurol. Neurosurg. Psychiatry – volume: 177 start-page: 641 year: 2018 end-page: 657 ident: bib0055 article-title: Genetic correlations among psychiatric and immune-related phenotypes based on genome-wide association data publication-title: Am. J. Med. Genet. B Neuropsychiatr. Genet. – volume: 311 start-page: 164 year: 2014 end-page: 171 ident: bib0022 article-title: Tobacco control and the reduction in smoking-related premature deaths in the United States, 1964-2012 publication-title: JAMA – volume: 89 start-page: 54 year: 2021 end-page: 65 ident: bib0003 article-title: Causal associations between modifiable risk factors and the Alzheimer's phenome publication-title: Ann. Neurol. – volume: 133 start-page: 839 year: 2017 end-page: 856 ident: bib0013 article-title: Genome-wide association study identifies four novel loci associated with Alzheimer's endophenotypes and disease modifiers publication-title: Acta Neuropathologica – volume: 103 start-page: 73 year: 2019 end-page: 80 ident: bib0014 article-title: Gene-by-environment interactions in Alzheimer's disease and Parkinson's disease publication-title: Neurosci. Biobehav. Rev. – volume: 13 start-page: 186 year: 2006 end-page: 203 ident: bib0006 article-title: On the performance of maximum likelihood versus means and variance adjusted weighted least squares estimation in CFA publication-title: Struct. Eq. Model. – volume: 19 start-page: e13197 year: 2020 ident: bib0049 article-title: A decade of epigenetic change in aging twins: Genetic and environmental contributions to longitudinal DNA methylation publication-title: Aging Cell – volume: 49 start-page: 1163 year: 2020 end-page: 1172 ident: bib0002 article-title: Education, intelligence and Alzheimer's disease: evidence from a multivariable two-sample Mendelian randomization study publication-title: Int. J. Epidemiol. – volume: 10 start-page: 2246 year: 2019 ident: bib0039 article-title: Epigenetic dysregulation of enhancers in neurons is associated with Alzheimer's disease pathology and cognitive symptoms publication-title: Nat. Commun. – year: 2020 ident: bib0053 article-title: High blood pressure and risk of dementia: a two-sample Mendelian randomization study in the UK Biobank publication-title: Biol. Psychiatry – volume: 51 start-page: 394 year: 2019 end-page: 403 ident: bib0026 article-title: Genome-wide analysis of insomnia in 1,331,010 individuals identifies new risk loci and functional pathways publication-title: Nat. Genet. – volume: 359 start-page: j5375 year: 2017 ident: bib0035 article-title: Modifiable pathways in Alzheimer's disease: Mendelian randomisation analysis publication-title: BMJ – volume: 15 start-page: e100321 year: 2022 ident: bib0008 article-title: Dementia risk in a single centre population: a nested case-control study in the east end of London publication-title: Lancet Reg. Health Eur. – volume: 66 start-page: 2888 year: 2017 ident: bib0052 article-title: An expanded genome-wide association study of type 2 diabetes in Europeans publication-title: Diabetes – volume: 13 start-page: 327 year: 2017 end-page: 339 ident: bib0061 article-title: The changing prevalence and incidence of dementia over time - current evidence publication-title: Nat. Rev. Neurol. – volume: 4 start-page: 9 year: 2014 end-page: 19 ident: bib0064 article-title: A study of effects of multicollinearity in the multivariable Analysis publication-title: Int. J. Appl. Sci. Technol. – volume: 54 start-page: 548 year: 2022 end-page: 559 ident: bib68 article-title: Genetic architecture of 11 major psychiatric disorders at biobehavioral, functional genomic and molecular genetic levels of analysis publication-title: Nature Genetics – volume: 179 start-page: 1469 year: 2019 end-page: 1482 ident: bib0036 article-title: Genomic relationships, novel loci, and pleiotropic mechanisms across eight psychiatric disorders publication-title: Cell – volume: 89 start-page: 177 year: 2021 end-page: 181 ident: bib0037 article-title: Genetic risk of Alzheimer's disease and sleep duration in non-demented elders publication-title: Ann. Neurol. – volume: 81 start-page: 321 year: 2021 end-page: 328 ident: bib0027 article-title: The influence of socioeconomic deprivation on dementia mortality, age at death, and quality of diagnosis: a nationwide death records study in England and Wales 2001–2017 publication-title: J. Alzheimers Dis. – volume: 177 start-page: 51 year: 2017 end-page: 58 ident: bib0034 article-title: A comparison of the prevalence of dementia in the United States in 2000 and 2012 publication-title: JAMA Internal Med. – volume: 7 start-page: e596 year: 2019 end-page: e603 ident: bib0045 article-title: Population attributable fractions for risk factors for dementia in low-income and middle-income countries: an analysis using cross-sectional survey data publication-title: Lancet Global Health – volume: 53 start-page: 392 year: 2021 end-page: 402 ident: bib0051 article-title: Genome-wide meta-analysis, fine-mapping and integrative prioritization implicate new Alzheimer's disease risk genes publication-title: Nat. Genet. – volume: 17 start-page: e12779 year: 2018 ident: bib0030 article-title: Apolipoprotein E region molecular signatures of Alzheimer's disease publication-title: Aging Cell – volume: 358 start-page: j2856 year: 2017 ident: bib0001 article-title: Temporal trend in dementia incidence since 2002 and projections for prevalence in England and Wales to 2040: modelling study publication-title: BMJ – volume: 360 year: 2018 ident: bib0009 article-title: Analysis of shared heritability in common disorders of the brain publication-title: Science – volume: 51 start-page: 584 year: 2019 end-page: 591 ident: bib0044 article-title: Clinical use of current polygenic risk scores may exacerbate health disparities publication-title: Nat. Genet. – volume: 91 start-page: 236 year: 2020 ident: bib0062 article-title: Sleep problems and risk of all-cause cognitive decline or dementia: an updated systematic review and meta-analysis publication-title: J. Neurol. Neurosurg. Psychiatry – volume: 3 start-page: 513 year: 2019 end-page: 525 ident: bib0017 article-title: Genomic structural equation modelling provides insights into the multivariate genetic architecture of complex traits publication-title: Nat Hum Behav – volume: 7 start-page: 39 year: 2010 ident: bib0056 article-title: A systematic review of the evidence for Canada's Physical Activity Guidelines for Adults publication-title: Intl. J Behav. Nutr. Phy. Activity – volume: 50 start-page: 906 year: 2018 end-page: 908 ident: bib0041 article-title: Mixed-model association for biobank-scale datasets publication-title: Nat. Genet. – year: 2021 ident: bib0042 article-title: A genome-wide association study of plasma phosphorylated tau181 publication-title: Neurobiol. Aging – volume: 199 start-page: 173 year: 2019 end-page: 187 ident: bib0015 article-title: Gene-environment interactions in Alzheimer's disease: a potential path to precision medicine publication-title: Pharmacol. Therapeut. – volume: 392 start-page: 1789 year: 2018 end-page: 1858 ident: bib0024 article-title: Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017 publication-title: The Lancet – volume: 144 start-page: 391 year: 2020 end-page: 401 ident: bib0028 article-title: Hearing and dementia: from ears to brain publication-title: Brain – volume: 64 start-page: 234 year: 2007 end-page: 240 ident: bib0059 article-title: Loneliness and risk of alzheimer disease publication-title: Arch. General Psychiatry – volume: 53 start-page: 1276 year: 2021 end-page: 1282 ident: bib0058 article-title: A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer's disease publication-title: Nat. Genet. – volume: 15 start-page: 292 year: 2019 end-page: 312 ident: bib0005 article-title: Perspectives on ethnic and racial disparities in Alzheimer's disease and related dementias: update and areas of immediate need publication-title: Alzheimers Dement. – volume: 12 start-page: e12008 year: 2020 ident: bib0031 article-title: Genetic and regulatory architecture of Alzheimer's disease in the APOE region publication-title: Alzheimers Dement. – volume: 49 start-page: 194 year: 2001 end-page: 199 ident: bib0029 article-title: The association between smoking and Alzheimer's disease: effects of study design and bias publication-title: Biol. Psychiatry – volume: 9 year: 2021 ident: bib69 article-title: Genome-wide analysis identifies a novel publication-title: Acta Neuropathologica Communications – volume: 183 start-page: 309 year: 2020 end-page: 330 ident: bib0018 article-title: Genetic comorbidity between major depression and cardio-metabolic traits, stratified by age at onset of major depression publication-title: Am. J. Med. Genet. Part B – volume: 51 start-page: 404 year: 2019 end-page: 413 ident: bib0025 article-title: Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer's disease risk publication-title: Nat. Genet. – volume: 33 start-page: 272 year: 2016 end-page: 279 ident: bib0066 article-title: LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis publication-title: Bioinformatics – volume: 54 start-page: 412 year: 2022 end-page: 436 ident: bib0067 article-title: New insights into the genetic etiology of Alzheimer’s disease and related dementias publication-title: Nature Genetics – volume: 54 start-page: 548 year: 2022 ident: 10.1016/j.neurobiolaging.2022.02.016_bib68 article-title: Genetic architecture of 11 major psychiatric disorders at biobehavioral, functional genomic and molecular genetic levels of analysis publication-title: Nature Genetics doi: 10.1038/s41588-022-01057-4 – volume: 85 start-page: 135 issue: 2 year: 2014 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0023 article-title: Feelings of loneliness, but not social isolation, predict dementia onset: results from the Amsterdam Study of the Elderly (AMSTEL) publication-title: J. Neurol. Neurosurg. Psychiatry doi: 10.1136/jnnp-2012-302755 – volume: 51 start-page: 394 issue: 3 year: 2019 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0026 article-title: Genome-wide analysis of insomnia in 1,331,010 individuals identifies new risk loci and functional pathways publication-title: Nat. Genet. doi: 10.1038/s41588-018-0333-3 – volume: 179 start-page: 1469 issue: 7 year: 2019 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0036 article-title: Genomic relationships, novel loci, and pleiotropic mechanisms across eight psychiatric disorders publication-title: Cell doi: 10.1016/j.cell.2019.11.020 – volume: 11 start-page: 1098 issue: 9 year: 2015 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0057 article-title: Guidelines for reporting methodological challenges and evaluating potential bias in dementia research publication-title: Alzheimers dement. doi: 10.1016/j.jalz.2015.06.1885 – volume: 15 start-page: 292 issue: 2 year: 2019 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0005 article-title: Perspectives on ethnic and racial disparities in Alzheimer's disease and related dementias: update and areas of immediate need publication-title: Alzheimers Dement. doi: 10.1016/j.jalz.2018.09.009 – volume: 47 start-page: 291 issue: 3 year: 2015 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0012 article-title: LD score regression distinguishes confounding from polygenicity in genome-wide association studies publication-title: Nat. Genet. doi: 10.1038/ng.3211 – volume: 52 start-page: 313 issue: 1 year: 2018 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0054 article-title: An overview of structural equation modeling: its beginnings, historical development, usefulness and controversies in the social sciences publication-title: Qual. Quant, doi: 10.1007/s11135-017-0469-8 – volume: 359 start-page: j5375 year: 2017 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0035 article-title: Modifiable pathways in Alzheimer's disease: Mendelian randomisation analysis publication-title: BMJ doi: 10.1136/bmj.j5375 – volume: 19 start-page: e13197 issue: 8 year: 2020 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0049 article-title: A decade of epigenetic change in aging twins: Genetic and environmental contributions to longitudinal DNA methylation publication-title: Aging Cell doi: 10.1111/acel.13197 – volume: 24 start-page: 373 issue: 2 year: 2009 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0010 article-title: Depression as a risk factor or prodromal feature for dementia? Findings in a population-based sample of Swedish twins publication-title: Psychol. Aging doi: 10.1037/a0015713 – volume: 64 start-page: 234 issue: 2 year: 2007 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0059 article-title: Loneliness and risk of alzheimer disease publication-title: Arch. General Psychiatry doi: 10.1001/archpsyc.64.2.234 – volume: 311 start-page: 164 issue: 2 year: 2014 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0022 article-title: Tobacco control and the reduction in smoking-related premature deaths in the United States, 1964-2012 publication-title: JAMA doi: 10.1001/jama.2013.285112 – volume: 15 start-page: e100321 year: 2022 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0008 article-title: Dementia risk in a single centre population: a nested case-control study in the east end of London publication-title: Lancet Reg. Health Eur. doi: 10.1016/j.lanepe.2022.100321 – volume: 51 start-page: 404 issue: 3 year: 2019 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0025 article-title: Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer's disease risk publication-title: Nat. Genet. doi: 10.1038/s41588-018-0311-9 – volume: 7 start-page: e596 issue: 5 year: 2019 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0045 article-title: Population attributable fractions for risk factors for dementia in low-income and middle-income countries: an analysis using cross-sectional survey data publication-title: Lancet Global Health doi: 10.1016/S2214-109X(19)30074-9 – volume: 263 start-page: 2339 issue: 11 year: 2016 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0019 article-title: Hearing and dementia publication-title: J. Neurol. doi: 10.1007/s00415-016-8208-y – volume: 360 issue: 6395 year: 2018 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0009 article-title: Analysis of shared heritability in common disorders of the brain publication-title: Science – volume: 183 start-page: 309 issue: 6 year: 2020 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0018 article-title: Genetic comorbidity between major depression and cardio-metabolic traits, stratified by age at onset of major depression publication-title: Am. J. Med. Genet. Part B doi: 10.1002/ajmg.b.32807 – volume: 33 start-page: 272 issue: 2 year: 2016 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0066 article-title: LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis publication-title: Bioinformatics doi: 10.1093/bioinformatics/btw613 – volume: 11 start-page: 4799 issue: 1 year: 2020 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0065 article-title: Risk prediction of late-onset Alzheimer's disease implies an oligogenic architecture publication-title: Nat. Commun. doi: 10.1038/s41467-020-18534-1 – volume: 26 start-page: 309 year: 2021 ident: 10.1016/j.neurobiolaging.2022.02.016_bib70 article-title: Genome-wide association study of brain amyloid deposition as measured by Pittsburgh Compound-B (PiB)-PET imaging publication-title: Molecular Psychiatry doi: 10.1038/s41380-018-0246-7 – volume: 54 start-page: 412 year: 2022 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0067 article-title: New insights into the genetic etiology of Alzheimer’s disease and related dementias publication-title: Nature Genetics doi: 10.1038/s41588-022-01024-z – volume: 51 start-page: 584 issue: 4 year: 2019 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0044 article-title: Clinical use of current polygenic risk scores may exacerbate health disparities publication-title: Nat. Genet. doi: 10.1038/s41588-019-0379-x – volume: 358 start-page: j2856 year: 2017 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0001 article-title: Temporal trend in dementia incidence since 2002 and projections for prevalence in England and Wales to 2040: modelling study publication-title: BMJ doi: 10.1136/bmj.j2856 – volume: 199 start-page: 173 year: 2019 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0015 article-title: Gene-environment interactions in Alzheimer's disease: a potential path to precision medicine publication-title: Pharmacol. Therapeut. doi: 10.1016/j.pharmthera.2019.03.005 – volume: 144 start-page: 391 issue: 2 year: 2020 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0028 article-title: Hearing and dementia: from ears to brain publication-title: Brain doi: 10.1093/brain/awaa429 – year: 2021 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0042 article-title: A genome-wide association study of plasma phosphorylated tau181 publication-title: Neurobiol. Aging doi: 10.1016/j.neurobiolaging.2021.04.018 – volume: 4 start-page: 9 issue: 5 year: 2014 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0064 article-title: A study of effects of multicollinearity in the multivariable Analysis publication-title: Int. J. Appl. Sci. Technol. – volume: 3 start-page: 513 issue: 5 year: 2019 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0017 article-title: Genomic structural equation modelling provides insights into the multivariate genetic architecture of complex traits publication-title: Nat Hum Behav doi: 10.1038/s41562-019-0566-x – volume: 53 start-page: 1276 issue: 9 year: 2021 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0058 article-title: A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer's disease publication-title: Nat. Genet. doi: 10.1038/s41588-021-00921-z – volume: 81 start-page: 321 year: 2021 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0027 article-title: The influence of socioeconomic deprivation on dementia mortality, age at death, and quality of diagnosis: a nationwide death records study in England and Wales 2001–2017 publication-title: J. Alzheimers Dis. doi: 10.3233/JAD-210089 – volume: 50 start-page: 906 issue: 7 year: 2018 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0041 article-title: Mixed-model association for biobank-scale datasets publication-title: Nat. Genet. doi: 10.1038/s41588-018-0144-6 – volume: 19 issue: 3 year: 2008 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0020 article-title: Cigarette smoking and dementia: potential selection bias in the elderly publication-title: Epidemiology doi: 10.1097/EDE.0b013e31816bbe14 – volume: 18 start-page: 942 issue: 10 year: 2019 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0033 article-title: Associations between blood pressure across adulthood and late-life brain structure and pathology in the neuroscience substudy of the 1946 British birth cohort (Insight 46): an epidemiological study publication-title: Lancet Neurol. doi: 10.1016/S1474-4422(19)30228-5 – year: 2020 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0053 article-title: High blood pressure and risk of dementia: a two-sample Mendelian randomization study in the UK Biobank publication-title: Biol. Psychiatry – volume: 47 start-page: 1236 issue: 11 year: 2015 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0011 article-title: An atlas of genetic correlations across human diseases and traits publication-title: Nat. Genet. doi: 10.1038/ng.3406 – volume: 66 start-page: 2888 issue: 11 year: 2017 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0052 article-title: An expanded genome-wide association study of type 2 diabetes in Europeans publication-title: Diabetes doi: 10.2337/db16-1253 – volume: 10 issue: 11 year: 2020 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0047 article-title: Vascular and metabolic risk factor differences prior to dementia diagnosis: a multidatabase case–control study using European electronic health records publication-title: BMJ Open doi: 10.1136/bmjopen-2020-038753 – volume: 12 start-page: e12008 issue: 1 year: 2020 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0031 article-title: Genetic and regulatory architecture of Alzheimer's disease in the APOE region publication-title: Alzheimers Dement. – volume: 6 start-page: 181 year: 2018 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0050 article-title: Phenotypic heterogeneity in dementia: a challenge for epidemiology and biomarker studies publication-title: Front Public Health doi: 10.3389/fpubh.2018.00181 – volume: 13 start-page: 327 issue: 6 year: 2017 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0061 article-title: The changing prevalence and incidence of dementia over time - current evidence publication-title: Nat. Rev. Neurol. doi: 10.1038/nrneurol.2017.63 – volume: 96 start-page: 329 issue: 2 year: 2015 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0004 article-title: Adjusting for heritable covariates can bias effect estimates in genome-wide association studies publication-title: Am. J. Hum. Genet. doi: 10.1016/j.ajhg.2014.12.021 – volume: 46 start-page: 100 issue: 2 year: 2014 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0063 article-title: Advantages and pitfalls in the application of mixed-model association methods publication-title: Nat. Genet. doi: 10.1038/ng.2876 – volume: 21 start-page: 497 issue: 4 year: 2018 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0046 article-title: Dysregulation of the epigenetic landscape of normal aging in Alzheimer's disease publication-title: Nat. Neurosci. doi: 10.1038/s41593-018-0101-9 – volume: 177 start-page: 51 issue: 1 year: 2017 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0034 article-title: A comparison of the prevalence of dementia in the United States in 2000 and 2012 publication-title: JAMA Internal Med. doi: 10.1001/jamainternmed.2016.6807 – volume: 9 issue: 1 year: 2019 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0048 article-title: Combining modifiable risk factors and risk of dementia: a systematic review and meta-analysis publication-title: BMJ Open doi: 10.1136/bmjopen-2018-022846 – volume: 133 start-page: 839 issue: 5 year: 2017 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0013 article-title: Genome-wide association study identifies four novel loci associated with Alzheimer's endophenotypes and disease modifiers publication-title: Acta Neuropathologica doi: 10.1007/s00401-017-1685-y – volume: 5 start-page: e33 issue: 1 year: 2020 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0038 article-title: Premature mortality attributable to socioeconomic inequality in England between 2003 and 2018: an observational study publication-title: Lancet Public Health doi: 10.1016/S2468-2667(19)30219-1 – volume: 396 start-page: 413 issue: 10248 year: 2020 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0040 article-title: Dementia prevention, intervention, and care: 2020 report of the Lancet Commission publication-title: The Lancet doi: 10.1016/S0140-6736(20)30367-6 – volume: 50 start-page: 668 issue: 5 year: 2018 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0060 article-title: Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression publication-title: Nat. Genet. doi: 10.1038/s41588-018-0090-3 – volume: 10 start-page: 2246 issue: 1 year: 2019 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0039 article-title: Epigenetic dysregulation of enhancers in neurons is associated with Alzheimer's disease pathology and cognitive symptoms publication-title: Nat. Commun. doi: 10.1038/s41467-019-10101-7 – volume: 91 start-page: 236 issue: 3 year: 2020 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0062 article-title: Sleep problems and risk of all-cause cognitive decline or dementia: an updated systematic review and meta-analysis publication-title: J. Neurol. Neurosurg. Psychiatry doi: 10.1136/jnnp-2019-321896 – volume: 16 issue: 11 year: 2019 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0043 article-title: Variation in blood pressure and long-term risk of dementia: a population-based cohort study publication-title: PLOS Med. doi: 10.1371/journal.pmed.1002933 – volume: 89 start-page: 54 issue: 1 year: 2021 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0003 article-title: Causal associations between modifiable risk factors and the Alzheimer's phenome publication-title: Ann. Neurol. doi: 10.1002/ana.25918 – volume: 26 start-page: 3083 issue: 22 year: 2016 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0021 article-title: Molecular genetic contributions to social deprivation and household income in UK Biobank publication-title: Curr. Biol. doi: 10.1016/j.cub.2016.09.035 – volume: 9 year: 2021 ident: 10.1016/j.neurobiolaging.2022.02.016_bib69 article-title: Genome-wide analysis identifies a novel LINC-PINTsplice variant associated with vascular amyloid pathology in Alzheimer’s disease publication-title: Acta Neuropathologica Communications doi: 10.1186/s40478-021-01199-2 – volume: 177 start-page: 641 issue: 7 year: 2018 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0055 article-title: Genetic correlations among psychiatric and immune-related phenotypes based on genome-wide association data publication-title: Am. J. Med. Genet. B Neuropsychiatr. Genet. doi: 10.1002/ajmg.b.32652 – volume: 49 start-page: 194 issue: 3 year: 2001 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0029 article-title: The association between smoking and Alzheimer's disease: effects of study design and bias publication-title: Biol. Psychiatry doi: 10.1016/S0006-3223(00)01077-5 – volume: 392 start-page: 1789 issue: 10159 year: 2018 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0024 article-title: Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017 publication-title: The Lancet doi: 10.1016/S0140-6736(18)32279-7 – volume: 89 start-page: 177 issue: 1 year: 2021 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0037 article-title: Genetic risk of Alzheimer's disease and sleep duration in non-demented elders publication-title: Ann. Neurol. doi: 10.1002/ana.25910 – volume: 51 start-page: 414 issue: 3 year: 2019 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0032 article-title: Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Abeta, tau, immunity and lipid processing publication-title: Nat. Genet. doi: 10.1038/s41588-019-0358-2 – volume: 53 start-page: 392 issue: 3 year: 2021 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0051 article-title: Genome-wide meta-analysis, fine-mapping and integrative prioritization implicate new Alzheimer's disease risk genes publication-title: Nat. Genet. doi: 10.1038/s41588-020-00776-w – volume: 103 start-page: 73 year: 2019 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0014 article-title: Gene-by-environment interactions in Alzheimer's disease and Parkinson's disease publication-title: Neurosci. Biobehav. Rev. doi: 10.1016/j.neubiorev.2019.06.018 – volume: 49 start-page: 1163 issue: 4 year: 2020 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0002 article-title: Education, intelligence and Alzheimer's disease: evidence from a multivariable two-sample Mendelian randomization study publication-title: Int. J. Epidemiol. doi: 10.1093/ije/dyz280 – volume: 13 start-page: 186 issue: 2 year: 2006 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0006 article-title: On the performance of maximum likelihood versus means and variance adjusted weighted least squares estimation in CFA publication-title: Struct. Eq. Model. doi: 10.1207/s15328007sem1302_2 – volume: 17 start-page: e12779 issue: 4 year: 2018 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0030 article-title: Apolipoprotein E region molecular signatures of Alzheimer's disease publication-title: Aging Cell doi: 10.1111/acel.12779 – volume: 7 start-page: 39 issue: 1 year: 2010 ident: 10.1016/j.neurobiolaging.2022.02.016_bib0056 article-title: A systematic review of the evidence for Canada's Physical Activity Guidelines for Adults publication-title: Intl. J Behav. Nutr. Phy. Activity doi: 10.1186/1479-5868-7-39 |
SSID | ssj0007476 |
Score | 2.4364064 |
Snippet | •There is high genetic overlap between Alzheimer's disease modifiable risk factors•Genetic overlap forms distinct clusters of risk factors sharing common... Targeting modifiable risk factors may help to prevent Alzheimer's disease (AD), but the pathways by which these risk factors influence AD risk remain... |
SourceID | proquest pubmed crossref elsevier |
SourceType | Aggregation Database Index Database Enrichment Source Publisher |
StartPage | 222 |
SubjectTerms | Alzheimer Disease - genetics Alzheimer Disease - metabolism Alzheimer's disease Dementia Dementia prevention Genetic Predisposition to Disease - genetics Genome-Wide Association Study genomic SEM Genomics Humans Latent Class Analysis Risk factors Shared genetics |
Title | The shared genetic architecture of modifiable risk for Alzheimer's disease: a genomic structural equation modelling study |
URI | https://www.clinicalkey.com/#!/content/1-s2.0-S0197458022001312 https://www.ncbi.nlm.nih.gov/pubmed/35797766 https://www.proquest.com/docview/2687723174 |
Volume | 117 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3Pb9MwFLbKkBAXtDFgBYaMNMEpVX44dgLiUCbQqDROm7Rb9Jw4rFWXgJIe2IH_if9wz3acFFilMqmKqqhJ7Lyv9nv2975HyBFO2gXIhHuqDIXH8jz1IJehFxaAznYMKWM6d_j0Kz85Z7OL-GI0-r3GWlq1cpJf35pXcher4jm0q86S_Q_L9jfFE_gd7YtHtDAet7Zxc2ko5PgbZbRX1zcG9N55XczLucmPMixyzSqcLq8v1dyUTRGN26KxWc9aslWz5a2srJHkUD-sGrgtmrO06w9Ok3bhxJ9Wg56TZhZ8czOimeBqW4PvSwN6m0MNbOIZjsfSIOmjqhZwNa-G1dlTzfOwCgdm4b6r821X_9suUewYsBvYttn66gUGvo6e1S9oplp33VZz6kdkm87pxlSbuNxNz6FVN_ln5LeLEItJ5TpsejrRzzSirMEtgtt_TYQ9PdEx3xbZn3fL9N0yHz8Bv0fuhwLdNRxCJ78GVhFGZ9xm6NtuPSBHA6Vwc9s2eUWboh7j_Zztkkdd2EKnFoN7ZKSqx2R_WkFbX_2kb6ghEhvz7xNdC5FaWNIOlnQdlrQu6QBLqmFJEZa0h-XbhnagfEeBdpCkAySpgyTtIUkNJJ-Q88-fzo5PvK7Ch5fHftB6IohkkeaJYsAhLHMRhSrhCWMp8LLUlRV84LFkIuYykr4A_XoT9LEBgHFg0VOyU9WVOiCUyVKkPCgKHikWijQp_EJBEit0uHUcMSbv3RvO8k7-XldhWWbbWHtM4v7q71YGZsvrPjhjZi7VGSfnDFG75fWvHQIyHPf1Zh5Uql41WcgTDIzR-2dj8sxCo29ZFAsM6zh_fsdWvyAPh__qS7KD9lWH6Hu38pVB-w3cqeKi |
linkProvider | Elsevier |
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=The+shared+genetic+architecture+of+modifiable+risk+for+Alzheimer%27s+disease%3A+a+genomic+structural+equation+modelling+study&rft.jtitle=Neurobiology+of+aging&rft.au=Foote%2C+Isabelle+F&rft.au=Jacobs%2C+Benjamin+M&rft.au=Mathlin%2C+Georgina&rft.au=Watson%2C+Cameron+J&rft.date=2022-09-01&rft.issn=0197-4580&rft.volume=117&rft.spage=222&rft.epage=235&rft_id=info:doi/10.1016%2Fj.neurobiolaging.2022.02.016&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_neurobiolaging_2022_02_016 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0197-4580&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0197-4580&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0197-4580&client=summon |