Causation and familial confounding as explanations for the associations of polygenic risk scores with breast cancer: Evidence from innovative ICE FALCON and ICE CRISTAL analyses
A polygenic risk score (PRS) combines the associations of multiple genetic variants that could be due to direct causal effects, indirect genetic effects, or other sources of familial confounding. We have developed new approaches to assess evidence for and against causation by using family data for p...
Saved in:
Published in | Genetic epidemiology Vol. 48; no. 8; pp. 401 - 413 |
---|---|
Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Wiley Subscription Services, Inc
01.12.2024
John Wiley and Sons Inc |
Subjects | |
Online Access | Get full text |
ISSN | 0741-0395 1098-2272 1098-2272 |
DOI | 10.1002/gepi.22556 |
Cover
Abstract | A polygenic risk score (PRS) combines the associations of multiple genetic variants that could be due to direct causal effects, indirect genetic effects, or other sources of familial confounding. We have developed new approaches to assess evidence for and against causation by using family data for pairs of relatives (Inference about Causation from Examination of FAmiliaL CONfounding [ICE FALCON]) or measures of family history (Inference about Causation from Examining Changes in Regression coefficients and Innovative STatistical AnaLyses [ICE CRISTAL]). Inference is made from the changes in regression coefficients of relatives' PRSs or PRS and family history before and after adjusting for each other. We applied these approaches to two breast cancer PRSs and multiple studies and found that (a) for breast cancer diagnosed at a young age, for example, <50 years, there was no evidence that the PRSs were causal, while (b) for breast cancer diagnosed at later ages, there was consistent evidence for causation explaining increasing amounts of the PRS‐disease association. The genetic variants in the PRS might be in linkage disequilibrium with truly causal variants and not causal themselves. These PRSs cause minimal heritability of breast cancer at younger ages. There is also evidence for nongenetic factors shared by first‐degree relatives that explain breast cancer familial aggregation. Familial associations are not necessarily due to genes, and genetic associations are not necessarily causal. |
---|---|
AbstractList | A polygenic risk score (PRS) combines the associations of multiple genetic variants that could be due to direct causal effects, indirect genetic effects, or other sources of familial confounding. We have developed new approaches to assess evidence for and against causation by using family data for pairs of relatives (Inference about Causation from Examination of FAmiliaL CONfounding [ICE FALCON]) or measures of family history (Inference about Causation from Examining Changes in Regression coefficients and Innovative STatistical AnaLyses [ICE CRISTAL]). Inference is made from the changes in regression coefficients of relatives' PRSs or PRS and family history before and after adjusting for each other. We applied these approaches to two breast cancer PRSs and multiple studies and found that (a) for breast cancer diagnosed at a young age, for example, <50 years, there was no evidence that the PRSs were causal, while (b) for breast cancer diagnosed at later ages, there was consistent evidence for causation explaining increasing amounts of the PRS-disease association. The genetic variants in the PRS might be in linkage disequilibrium with truly causal variants and not causal themselves. These PRSs cause minimal heritability of breast cancer at younger ages. There is also evidence for nongenetic factors shared by first-degree relatives that explain breast cancer familial aggregation. Familial associations are not necessarily due to genes, and genetic associations are not necessarily causal. A polygenic risk score (PRS) combines the associations of multiple genetic variants that could be due to direct causal effects, indirect genetic effects, or other sources of familial confounding. We have developed new approaches to assess evidence for and against causation by using family data for pairs of relatives (Inference about Causation from Examination of FAmiliaL CONfounding [ICE FALCON]) or measures of family history (Inference about Causation from Examining Changes in Regression coefficients and Innovative STatistical AnaLyses [ICE CRISTAL]). Inference is made from the changes in regression coefficients of relatives' PRSs or PRS and family history before and after adjusting for each other. We applied these approaches to two breast cancer PRSs and multiple studies and found that (a) for breast cancer diagnosed at a young age, for example, <50 years, there was no evidence that the PRSs were causal, while (b) for breast cancer diagnosed at later ages, there was consistent evidence for causation explaining increasing amounts of the PRS-disease association. The genetic variants in the PRS might be in linkage disequilibrium with truly causal variants and not causal themselves. These PRSs cause minimal heritability of breast cancer at younger ages. There is also evidence for nongenetic factors shared by first-degree relatives that explain breast cancer familial aggregation. Familial associations are not necessarily due to genes, and genetic associations are not necessarily causal.A polygenic risk score (PRS) combines the associations of multiple genetic variants that could be due to direct causal effects, indirect genetic effects, or other sources of familial confounding. We have developed new approaches to assess evidence for and against causation by using family data for pairs of relatives (Inference about Causation from Examination of FAmiliaL CONfounding [ICE FALCON]) or measures of family history (Inference about Causation from Examining Changes in Regression coefficients and Innovative STatistical AnaLyses [ICE CRISTAL]). Inference is made from the changes in regression coefficients of relatives' PRSs or PRS and family history before and after adjusting for each other. We applied these approaches to two breast cancer PRSs and multiple studies and found that (a) for breast cancer diagnosed at a young age, for example, <50 years, there was no evidence that the PRSs were causal, while (b) for breast cancer diagnosed at later ages, there was consistent evidence for causation explaining increasing amounts of the PRS-disease association. The genetic variants in the PRS might be in linkage disequilibrium with truly causal variants and not causal themselves. These PRSs cause minimal heritability of breast cancer at younger ages. There is also evidence for nongenetic factors shared by first-degree relatives that explain breast cancer familial aggregation. Familial associations are not necessarily due to genes, and genetic associations are not necessarily causal. A polygenic risk score (PRS) combines the associations of multiple genetic variants that could be due to direct causal effects, indirect genetic effects, or other sources of familial confounding. We have developed new approaches to assess evidence for and against causation by using family data for pairs of relatives (Inference about Causation from Examination of FAmiliaL CONfounding [ICE FALCON]) or measures of family history (Inference about Causation from Examining Changes in Regression coefficients and Innovative STatistical AnaLyses [ICE CRISTAL]). Inference is made from the changes in regression coefficients of relatives' PRSs or PRS and family history before and after adjusting for each other. We applied these approaches to two breast cancer PRSs and multiple studies and found that (a) for breast cancer diagnosed at a young age, for example, <50 years, there was no evidence that the PRSs were causal, while (b) for breast cancer diagnosed at later ages, there was consistent evidence for causation explaining increasing amounts of the PRS‐disease association. The genetic variants in the PRS might be in linkage disequilibrium with truly causal variants and not causal themselves. These PRSs cause minimal heritability of breast cancer at younger ages. There is also evidence for nongenetic factors shared by first‐degree relatives that explain breast cancer familial aggregation. Familial associations are not necessarily due to genes, and genetic associations are not necessarily causal. |
Author | Dite, Gillian S. Giles, Graham G. Nguyen, Tuong L. Hopper, John L. Ye, Zhoufeng Li, Shuai Sung, Joohon Esser, Vivienne F. C. Makalic, Enes Southey, Melissa C. Bui, Minh MacInnis, Robert J. Dowty, James G. |
AuthorAffiliation | 3 Precision Medicine, School of Clinical Sciences at Monash Health Monash University Clayton Victoria Australia 6 Cancer Epidemiology Division Cancer Council Victoria Melbourne Victoria Australia 4 Murdoch Children's Research Institute Royal Children's Hospital Parkville Victoria Australia 8 Genomic Medicine Institute Seoul National University Euigwahakgwan #402, Seoul National University College of Medicine, 103, Daehak‐ro, Jongno‐gu Seoul South Korea 9 Institute of Health and Environment Seoul National University 1st GwanakRo Seoul South Korea 2 Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care University of Cambridge Cambridge UK 5 Genetic Technologies Ltd. Fitzroy Victoria Australia 7 Division of Genome and Health Big Data, Department of Public Health Sciences, Graduate School of Public Health Seoul National University Seoul Korea 1 Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health The University of Melbourne Carl |
AuthorAffiliation_xml | – name: 2 Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care University of Cambridge Cambridge UK – name: 9 Institute of Health and Environment Seoul National University 1st GwanakRo Seoul South Korea – name: 1 Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health The University of Melbourne Carlton Victoria Australia – name: 5 Genetic Technologies Ltd. Fitzroy Victoria Australia – name: 6 Cancer Epidemiology Division Cancer Council Victoria Melbourne Victoria Australia – name: 7 Division of Genome and Health Big Data, Department of Public Health Sciences, Graduate School of Public Health Seoul National University Seoul Korea – name: 4 Murdoch Children's Research Institute Royal Children's Hospital Parkville Victoria Australia – name: 3 Precision Medicine, School of Clinical Sciences at Monash Health Monash University Clayton Victoria Australia – name: 8 Genomic Medicine Institute Seoul National University Euigwahakgwan #402, Seoul National University College of Medicine, 103, Daehak‐ro, Jongno‐gu Seoul South Korea – name: 10 Department of Clinical Pathology The University of Melbourne Parkville Victoria Australia |
Author_xml | – sequence: 1 givenname: Shuai orcidid: 0000-0002-8696-8594 surname: Li fullname: Li, Shuai organization: Royal Children's Hospital – sequence: 2 givenname: Gillian S. surname: Dite fullname: Dite, Gillian S. organization: Genetic Technologies Ltd – sequence: 3 givenname: Robert J. surname: MacInnis fullname: MacInnis, Robert J. organization: Cancer Council Victoria – sequence: 4 givenname: Minh surname: Bui fullname: Bui, Minh organization: The University of Melbourne – sequence: 5 givenname: Tuong L. surname: Nguyen fullname: Nguyen, Tuong L. organization: The University of Melbourne – sequence: 6 givenname: Vivienne F. C. surname: Esser fullname: Esser, Vivienne F. C. organization: The University of Melbourne – sequence: 7 givenname: Zhoufeng orcidid: 0000-0002-0884-4246 surname: Ye fullname: Ye, Zhoufeng organization: The University of Melbourne – sequence: 8 givenname: James G. surname: Dowty fullname: Dowty, James G. organization: The University of Melbourne – sequence: 9 givenname: Enes surname: Makalic fullname: Makalic, Enes organization: The University of Melbourne – sequence: 10 givenname: Joohon surname: Sung fullname: Sung, Joohon organization: Seoul National University – sequence: 11 givenname: Graham G. surname: Giles fullname: Giles, Graham G. organization: Cancer Council Victoria – sequence: 12 givenname: Melissa C. surname: Southey fullname: Southey, Melissa C. organization: The University of Melbourne – sequence: 13 givenname: John L. surname: Hopper fullname: Hopper, John L. email: j.hopper@unimelb.edu.au organization: The University of Melbourne |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/38472646$$D View this record in MEDLINE/PubMed |
BookMark | eNp9kttuEzEQhi1URNPCDQ-ALHGDkLbY3pOXGxSt0hIpogjKteXY48RlY6f2bkoeizfEORRBhbixPTPf_Pptzxk6cd4BQi8puaCEsHcLWNsLxsqyeoJGlDQ8Y6xmJ2hE6oJmJG_KU3QW4y0hlBZN-Qyd5ryoWVVUI_SzlUOUvfUOS6exkSvbWdlh5Z3xg9PWLbCMGH6sO-n2XMTGB9wvIeWjV_aY9AavfbddgLMKBxu_46h8gIjvbb_E8wAy9lhJpyC8x5ON1ZCO2AS_wtY5v0kyG8DTdoIvx7P2-tPezi5sv0y_3oxnKZbdNkJ8jp4a2UV4cdzP0bfLyU37MZtdX03b8SxTRdFUWQ7a8IrwEgqSF1zXIDUjRNECgGo-z2WZSkYqPmeGMa4ZVLzhkmqTc6Zpfo4-HHTXw3wFWoHrg-zEOtiVDFvhpRV_V5xdioXfCEpLzps6TwpvjgrB3w0Qe7GyUUGXXhL8EAVryqriNK0Jff0IvfVDSDeOIqc5qwnhdGfp1Z-Wfnt5-M4EkAOggo8xgBHK9vsPSg5tJygRu4kRu4kR-4lJLW8ftTyo_hOmB_jedrD9DymuJp-nh55f927Tyg |
CitedBy_id | crossref_primary_10_1093_ije_dyae131 |
Cites_doi | 10.1023/a:1008886328352 10.1161/hypertensionaha.122.19953 10.1016/j.ajhg.2022.10.009 10.1158/1055-9965.Epi-09-0881 10.1158/1055-9965.epi-15-0838 10.1111/adb.13129 10.1186/s13148-018-0452-9 10.1002/jbmr.4826 10.1016/j.jaci.2012.08.003 10.1186/s12916-023-02950-3 10.1053/j.gastro.2020.09.064 10.1158/1940-6207.Capr-22-0460 10.1093/ije/dyx085 10.1111/eci.14055 10.1002/oby.23390 10.1038/sj.bjc.6602175 10.1093/oxfordjournals.jncimonographs.a024232 10.1093/jncics/pkab021 10.1038/sj.bjc.6604305 10.1007/s40618-022-01878-4 10.1002/jbm4.10386 10.1093/ije/dyaa065 10.1038/s41467-020-17117-4 10.1158/1055-9965.EPI-12-0051 10.1016/j.ajhg.2020.07.006 10.1093/ije/dyad086 10.1016/j.ajhg.2022.03.008 10.1038/s41436-018-0406-9 10.1016/j.ajhg.2022.09.006 10.1016/j.ajhg.2018.11.002 10.1053/j.gastro.2019.12.012 10.1016/j.bone.2013.04.020 10.1016/j.ajhg.2021.02.002 10.1093/aje/kwv193 10.1158/1055-9965.EPI-07-2636 10.1016/S0140-6736(01)06524-2 10.1038/s41366-018-0103-4 10.1016/0960-9776(94)90003-5 10.1016/j.ajhg.2023.05.015 10.1158/1055-9965.Epi-15-0913 10.1093/jnci/djv036 |
ContentType | Journal Article |
Copyright | 2024 The Authors. published by Wiley Periodicals LLC. 2024 The Authors. Genetic Epidemiology published by Wiley Periodicals LLC. 2024. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
Copyright_xml | – notice: 2024 The Authors. published by Wiley Periodicals LLC. – notice: 2024 The Authors. Genetic Epidemiology published by Wiley Periodicals LLC. – notice: 2024. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
DBID | 24P AAYXX CITATION CGR CUY CVF ECM EIF NPM 7QP 7QR 7TK 8FD FR3 K9. P64 RC3 7X8 5PM |
DOI | 10.1002/gepi.22556 |
DatabaseName | Wiley Online Library Open Access CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Calcium & Calcified Tissue Abstracts Chemoreception Abstracts Neurosciences Abstracts Technology Research Database Engineering Research Database ProQuest Health & Medical Complete (Alumni) Biotechnology and BioEngineering Abstracts Genetics Abstracts MEDLINE - Academic PubMed Central (Full Participant titles) |
DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Genetics Abstracts Technology Research Database ProQuest Health & Medical Complete (Alumni) Chemoreception Abstracts Engineering Research Database Calcium & Calcified Tissue Abstracts Neurosciences Abstracts Biotechnology and BioEngineering Abstracts MEDLINE - Academic |
DatabaseTitleList | MEDLINE MEDLINE - Academic Genetics Abstracts CrossRef |
Database_xml | – sequence: 1 dbid: 24P name: Wiley Online Library Open Access url: https://authorservices.wiley.com/open-science/open-access/browse-journals.html sourceTypes: Publisher – sequence: 2 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: 3 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 | Public Health Biology |
DocumentTitleAlternate | LI et al |
EISSN | 1098-2272 |
EndPage | 413 |
ExternalDocumentID | PMC11588973 38472646 10_1002_gepi_22556 GEPI22556 |
Genre | researchArticle Journal Article |
GrantInformation_xml | – fundername: National Health and Medical Research Council funderid: GNT2024867 – fundername: New South Wales Cancer Council, the Victorian Health Promotion Foundation – fundername: National Research Foundation of Korea (NRF) funderid: 2020R1A2C2101041; 2023R1A2C2002925 – fundername: National Breast Cancer Foundation – fundername: Cancer Council Victoria and VicHealth – fundername: U.S. National Cancer Institute funderid: UM1 CA164920 – fundername: Victorian Breast Cancer Research Consortium, Cancer Australia – fundername: National Cancer Institute – fundername: Cancer Council Victoria – fundername: NCI NIH HHS – fundername: National Research Foundation of Korea (NRF) grantid: 2020R1A2C2101041 – fundername: NCI NIH HHS grantid: UM1 CA164920 – fundername: National Research Foundation of Korea (NRF) grantid: 2023R1A2C2002925 – fundername: National Health and Medical Research Council grantid: GNT2024867 – fundername: U.S. National Cancer Institute grantid: UM1 CA164920 – fundername: National Research Foundation of Korea (NRF) grantid: 2020R1A2C2101041; 2023R1A2C2002925 |
GroupedDBID | --- .3N .GA .GJ .Y3 05W 0R~ 10A 1L6 1OB 1OC 1ZS 24P 31~ 33P 3SF 3WU 4.4 50Y 50Z 51W 51X 52M 52N 52O 52P 52S 52T 52U 52W 52X 53G 5GY 5RE 5VS 66C 702 7PT 8-0 8-1 8-3 8-4 8-5 8UM 930 A03 AAESR AAEVG AAHHS AAHQN AAMNL AANHP AANLZ AAONW AASGY AAXRX AAYCA AAZKR ABCQN ABCUV ABEML ABIJN ABJNI ABLJU ABPVW ACAHQ ACBWZ ACCFJ ACCZN ACFBH ACGFS ACIWK ACPOU ACPRK ACRPL ACSCC ACXBN ACXQS ACYXJ ADBBV ADEOM ADIZJ ADKYN ADMGS ADNMO ADOZA ADXAS ADZMN ADZOD AEEZP AEIGN AEIMD AENEX AEQDE AEUYR AEYWJ AFBPY AFFPM AFGKR AFWVQ AFZJQ AGHNM AGQPQ AGYGG AHBTC AHMBA AITYG AIURR AIWBW AJBDE AJXKR ALAGY ALMA_UNASSIGNED_HOLDINGS ALUQN ALVPJ AMBMR AMYDB ASPBG ATUGU AUFTA AVWKF AZBYB AZFZN AZVAB BAFTC BDRZF BFHJK BHBCM BMNLL BMXJE BNHUX BROTX BRXPI BY8 CS3 D-E D-F DCZOG DPXWK DR2 DRFUL DRSTM DU5 DVXWH EBD EBS EJD EMOBN F00 F01 F04 F5P FEDTE G-S G.N GNP GODZA H.T H.X HBH HF~ HGLYW HHY HHZ HVGLF HZ~ IX1 J0M JPC KQQ LATKE LAW LC2 LC3 LEEKS LH4 LITHE LOXES LP6 LP7 LUTES LW6 LYRES M66 MEWTI MK4 MRFUL MRSTM MSFUL MSSTM MXFUL MXSTM N04 N05 N9A NF~ NNB O66 O9- OIG P2P P2W P2X P4D PALCI PQQKQ Q.N Q11 QB0 QRW R.K RIWAO RJQFR ROL RX1 RYL SAMSI SUPJJ SV3 UB1 V2E W8V W99 WBKPD WIB WIH WIK WJL WNSPC WOHZO WQJ WXSBR WYISQ XG1 XV2 ZGI ZZTAW ~IA ~WT AAYXX CITATION CGR CUY CVF ECM EIF NPM 7QP 7QR 7TK 8FD AAMMB AEFGJ AGXDD AIDQK AIDYY FR3 K9. P64 RC3 7X8 5PM |
ID | FETCH-LOGICAL-c4496-3edf86085e40348d7ead200c14ee1d8b3a55e4fac8b2f228d2e6898a1df382d13 |
IEDL.DBID | DR2 |
ISSN | 0741-0395 1098-2272 |
IngestDate | Thu Aug 21 18:35:27 EDT 2025 Fri Jul 11 15:11:16 EDT 2025 Fri Jul 25 19:07:14 EDT 2025 Thu Apr 03 07:02:12 EDT 2025 Thu Apr 24 23:00:06 EDT 2025 Tue Jul 01 04:23:59 EDT 2025 Wed Jun 11 08:28:33 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 8 |
Keywords | ICE CRISTAL familial confounding siblings causation breast cancer family data ICE FALCON |
Language | English |
License | Attribution 2024 The Authors. Genetic Epidemiology published by Wiley Periodicals LLC. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c4496-3edf86085e40348d7ead200c14ee1d8b3a55e4fac8b2f228d2e6898a1df382d13 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ORCID | 0000-0002-8696-8594 0000-0002-0884-4246 |
OpenAccessLink | https://proxy.k.utb.cz/login?url=https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fgepi.22556 |
PMID | 38472646 |
PQID | 3132700811 |
PQPubID | 105460 |
PageCount | 13 |
ParticipantIDs | pubmedcentral_primary_oai_pubmedcentral_nih_gov_11588973 proquest_miscellaneous_2956681956 proquest_journals_3132700811 pubmed_primary_38472646 crossref_citationtrail_10_1002_gepi_22556 crossref_primary_10_1002_gepi_22556 wiley_primary_10_1002_gepi_22556_GEPI22556 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | December 2024 |
PublicationDateYYYYMMDD | 2024-12-01 |
PublicationDate_xml | – month: 12 year: 2024 text: December 2024 |
PublicationDecade | 2020 |
PublicationPlace | United States |
PublicationPlace_xml | – name: United States – name: Hoboken |
PublicationTitle | Genetic epidemiology |
PublicationTitleAlternate | Genet Epidemiol |
PublicationYear | 2024 |
Publisher | Wiley Subscription Services, Inc John Wiley and Sons Inc |
Publisher_xml | – name: Wiley Subscription Services, Inc – name: John Wiley and Sons Inc |
References | 2023; 53 2015; 182 2023; 52 2021; 5 2010; 19 2023; 38 2023; 16 2021; 108 2017; 46 2008; 17 2021; 160 2019; 104 2022; 45 2020; 107 2008; 98 2020; 11 2015; 107 2004; 91 2022; 27 2023; 80 2023; 21 2012; 130 2020; 4 2013; 55 2019; 21 2019; 43 1999; 1999 2023; 110 2020; 49 2022; 30 2020; 158 2022; 109 1994; 3 2018; 10 2016; 25 2012; 21 1998; 9 2001; 358 e_1_2_8_28_1 e_1_2_8_29_1 e_1_2_8_24_1 e_1_2_8_25_1 e_1_2_8_26_1 e_1_2_8_27_1 e_1_2_8_3_1 e_1_2_8_2_1 e_1_2_8_5_1 e_1_2_8_4_1 e_1_2_8_7_1 e_1_2_8_6_1 e_1_2_8_9_1 e_1_2_8_8_1 e_1_2_8_20_1 e_1_2_8_21_1 e_1_2_8_42_1 e_1_2_8_22_1 e_1_2_8_23_1 e_1_2_8_41_1 e_1_2_8_40_1 e_1_2_8_17_1 e_1_2_8_18_1 e_1_2_8_39_1 e_1_2_8_19_1 e_1_2_8_13_1 e_1_2_8_36_1 e_1_2_8_14_1 e_1_2_8_35_1 e_1_2_8_15_1 e_1_2_8_38_1 e_1_2_8_16_1 e_1_2_8_37_1 e_1_2_8_32_1 e_1_2_8_10_1 e_1_2_8_31_1 e_1_2_8_11_1 e_1_2_8_34_1 e_1_2_8_12_1 e_1_2_8_33_1 e_1_2_8_30_1 |
References_xml | – volume: 4 issue: 9 year: 2020 article-title: Are the relationships of lean mass and fat mass with bone microarchitecture causal or due to familial confounders? A novel study of adult female twin pairs publication-title: JBMR Plus – volume: 182 start-page: 863 issue: 10 year: 2015 end-page: 867 article-title: Odds per adjusted standard deviation: Comparing strengths of associations for risk factors measured on different scales and across diseases and populations publication-title: American Journal of Epidemiology – volume: 107 issue: 5 year: 2015 article-title: Prediction of breast cancer risk based on profiling with common genetic variants publication-title: JNCI: Journal of the National Cancer Institute – volume: 19 start-page: 456 issue: 2 year: 2010 end-page: 463 article-title: Family history, mammographic density, and risk of breast cancer publication-title: Cancer Epidemiology, Biomarkers & Prevention – volume: 25 start-page: 145 issue: 1 year: 2016 end-page: 150 article-title: The heritability of breast cancer among women in the nordic twin study of cancer publication-title: Cancer Epidemiology, Biomarkers & Prevention – volume: 16 start-page: 281 issue: 5 year: 2023 end-page: 291 article-title: Validation of an abridged breast cancer risk prediction model for the general population publication-title: Cancer Prevention Research – volume: 91 start-page: 1580 issue: 8 year: 2004 end-page: 1590 article-title: The BOADICEA model of genetic susceptibility to breast and ovarian cancer publication-title: British Journal of Cancer – volume: 3 start-page: 79 issue: 2 year: 1994 end-page: 86 article-title: Background, rationale and protocol for a case‐control‐family study of breast cancer publication-title: The Breast – volume: 21 start-page: 1708 issue: 8 year: 2019 end-page: 1718 article-title: BOADICEA: A comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors publication-title: Genetics in Medicine – volume: 45 start-page: 2365 issue: 12 year: 2022 end-page: 2376 article-title: DNA methylation and waist‐to‐hip ratio: An epigenome‐wide association study in Chinese monozygotic twins publication-title: Journal of Endocrinological Investigation – volume: 46 start-page: 1757 issue: 6 year: 2017 end-page: 1757i article-title: Cohort profile: The Melbourne Collaborative Cohort Study (Health 2020) publication-title: International Journal of Epidemiology – volume: 110 start-page: 1221 issue: 7 year: 2023 end-page: 1223 article-title: Implications of family history and polygenic risk scores for causation publication-title: The American Journal of Human Genetics – volume: 109 start-page: 900 issue: 5 year: 2022 end-page: 908 article-title: Polygenic risk for prostate cancer: Decreasing relative risk with age but little impact on absolute risk publication-title: The American Journal of Human Genetics – volume: 25 start-page: 359 issue: 2 year: 2016 end-page: 365 article-title: Breast cancer risk prediction using clinical models and 77 independent risk‐associated SNPs for women aged under 50 years: Australian Breast Cancer Family Registry publication-title: Cancer Epidemiology, Biomarkers & Prevention – volume: 9 start-page: 189 issue: 2 year: 1998 end-page: 198 article-title: Breast cancer in Australian women under the age of 40 publication-title: Cancer Causes and Control – volume: 53 year: 2023 article-title: Genome‐wide DNA methylation analysis of body composition in Chinese monozygotic twins publication-title: European Journal of Clinical Investigation – volume: 17 start-page: 3474 issue: 12 year: 2008 end-page: 3481 article-title: Predictors of mammographic density: Insights gained from a novel regression analysis of a twin study publication-title: Cancer Epidemiology, Biomarkers & Prevention – volume: 27 issue: 2 year: 2022 article-title: Heritability of tea drinking and its relationship with cigarette smoking in the Chinese male adult twins publication-title: Addiction Biology – volume: 130 start-page: 1117 issue: 5 year: 2012 end-page: 1122.e1 article-title: Does eczema in infancy cause hay fever, asthma, or both in childhood? Insights from a novel regression model of sibling data publication-title: Journal of Allergy and Clinical Immunology – volume: 10 start-page: 18 issue: 1 year: 2018 article-title: Causal effect of smoking on DNA methylation in peripheral blood: A twin and family study publication-title: Clinical Epigenetics – volume: 358 start-page: 1389 issue: 9291 year: 2001 end-page: 1399 article-title: Familial breast cancer: Collaborative reanalysis of individual data from 52 epidemiological studies including 58,209 women with breast cancer and 101,986 women without the disease publication-title: The Lancet – volume: 98 start-page: 1457 issue: 8 year: 2008 end-page: 1466 article-title: The BOADICEA model of genetic susceptibility to breast and ovarian cancers: Updates and extensions publication-title: British Journal of Cancer – volume: 11 start-page: 3519 issue: 1 year: 2020 article-title: Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within‐family analyses publication-title: Nature Communications – volume: 52 start-page: 1557 year: 2023 end-page: 1568 article-title: Variance of age‐specific log incidence decomposition (VALID): A unifying model of measured and unmeasured genetic and non‐genetic risks publication-title: International Journal of Epidemiology – volume: 108 start-page: 525 issue: 3 year: 2021 end-page: 526 article-title: Age dependency of the polygenic risk score for colorectal cancer publication-title: The American Journal of Human Genetics – volume: 5 issue: 3 year: 2021 article-title: Prospective evaluation of the addition of polygenic risk scores to breast cancer risk models publication-title: JNCI Cancer Spectrum – volume: 107 start-page: 432 issue: 3 year: 2020 end-page: 444 article-title: Genome‐wide modeling of polygenic risk score in colorectal cancer risk publication-title: The American Journal of Human Genetics – volume: 21 start-page: 239 issue: 1 year: 2023 article-title: Family history and breast cancer risk for Asian women: A systematic review and meta‐analysis publication-title: BMC Medicine – volume: 109 start-page: 2152 issue: 12 year: 2022 end-page: 2162 article-title: Systematic comparison of family history and polygenic risk across 24 common diseases publication-title: The American Journal of Human Genetics – volume: 158 start-page: 1274 issue: 5 year: 2020 end-page: 1286.e12 article-title: Cumulative burden of colorectal cancer‐associated genetic variants is more strongly associated with early‐onset vs late‐onset cancer publication-title: Gastroenterology – volume: 1999 start-page: 95 year: 1999 end-page: 100 article-title: Design and analysis issues in a population‐based, case‐control‐family study of the genetic epidemiology of breast cancer and the Co‐Operative Family Registry for Breast Cancer Studies (CFRBCS) publication-title: JNCI Monographs – volume: 160 start-page: 2214 issue: 6 year: 2021 end-page: 2215 article-title: Negative age‐dependence of the polygenic risk score gradient for colorectal cancer publication-title: Gastroenterology – volume: 43 start-page: 243 issue: 2 year: 2019 end-page: 252 article-title: Inference about causation between body mass index and DNA methylation in blood from a twin family study publication-title: International Journal of Obesity – volume: 21 start-page: 1149 issue: 7 year: 2012 end-page: 1155 article-title: Inference about causation from examination of familial confounding: Application to longitudinal twin data on mammographic density measures that predict breast cancer risk publication-title: Cancer Epidemiology, Biomarkers & Prevention – volume: 109 start-page: 1777 issue: 10 year: 2022 end-page: 1788 article-title: Segregation analysis of 17,425 population‐based breast cancer families: Evidence for genetic susceptibility and risk prediction publication-title: The American Journal of Human Genetics – volume: 104 start-page: 21 issue: 1 year: 2019 end-page: 34 article-title: Polygenic risk scores for prediction of breast cancer and breast cancer subtypes publication-title: The American Journal of Human Genetics – volume: 38 start-page: 951 year: 2023 end-page: 957 article-title: Is there a causal relationship between physical activity and bone microarchitecture? A study of adult female twin pairs publication-title: Journal of Bone and Mineral Research – volume: 55 start-page: 353 issue: 2 year: 2013 end-page: 358 article-title: Architecture of cortical bone determines in part its remodelling and structural decay publication-title: Bone – volume: 49 start-page: 1259 issue: 4 year: 2020 end-page: 1269 article-title: Inference about causation from examination of familial confounding (ICE FALCON): A model for assessing causation analogous to Mendelian randomization publication-title: International Journal of Epidemiology – volume: 30 start-page: 931 issue: 4 year: 2022 end-page: 942 article-title: Education, income, and obesity: A nationwide Chinese twin study publication-title: Obesity – volume: 80 start-page: 169 issue: 1 year: 2023 end-page: 181 article-title: Association between DNA methylation and blood pressure: A 5‐year longitudinal twin study publication-title: Hypertension – ident: e_1_2_8_31_1 doi: 10.1023/a:1008886328352 – ident: e_1_2_8_12_1 doi: 10.1161/hypertensionaha.122.19953 – ident: e_1_2_8_27_1 doi: 10.1016/j.ajhg.2022.10.009 – ident: e_1_2_8_28_1 doi: 10.1158/1055-9965.Epi-09-0881 – ident: e_1_2_8_10_1 doi: 10.1158/1055-9965.epi-15-0838 – ident: e_1_2_8_11_1 doi: 10.1111/adb.13129 – ident: e_1_2_8_25_1 doi: 10.1186/s13148-018-0452-9 – ident: e_1_2_8_34_1 doi: 10.1002/jbmr.4826 – ident: e_1_2_8_14_1 doi: 10.1016/j.jaci.2012.08.003 – ident: e_1_2_8_40_1 doi: 10.1186/s12916-023-02950-3 – ident: e_1_2_8_19_1 doi: 10.1053/j.gastro.2020.09.064 – ident: e_1_2_8_36_1 doi: 10.1158/1940-6207.Capr-22-0460 – ident: e_1_2_8_32_1 doi: 10.1093/ije/dyx085 – ident: e_1_2_8_39_1 doi: 10.1111/eci.14055 – ident: e_1_2_8_42_1 doi: 10.1002/oby.23390 – ident: e_1_2_8_3_1 doi: 10.1038/sj.bjc.6602175 – ident: e_1_2_8_15_1 doi: 10.1093/oxfordjournals.jncimonographs.a024232 – ident: e_1_2_8_26_1 doi: 10.1093/jncics/pkab021 – ident: e_1_2_8_2_1 doi: 10.1038/sj.bjc.6604305 – ident: e_1_2_8_41_1 doi: 10.1007/s40618-022-01878-4 – ident: e_1_2_8_7_1 doi: 10.1002/jbm4.10386 – ident: e_1_2_8_20_1 doi: 10.1093/ije/dyaa065 – ident: e_1_2_8_5_1 doi: 10.1038/s41467-020-17117-4 – ident: e_1_2_8_37_1 doi: 10.1158/1055-9965.EPI-12-0051 – ident: e_1_2_8_38_1 doi: 10.1016/j.ajhg.2020.07.006 – ident: e_1_2_8_16_1 doi: 10.1093/ije/dyad086 – ident: e_1_2_8_35_1 doi: 10.1016/j.ajhg.2022.03.008 – ident: e_1_2_8_18_1 doi: 10.1038/s41436-018-0406-9 – ident: e_1_2_8_23_1 doi: 10.1016/j.ajhg.2022.09.006 – ident: e_1_2_8_29_1 doi: 10.1016/j.ajhg.2018.11.002 – ident: e_1_2_8_4_1 doi: 10.1053/j.gastro.2019.12.012 – ident: e_1_2_8_6_1 doi: 10.1016/j.bone.2013.04.020 – ident: e_1_2_8_21_1 doi: 10.1016/j.ajhg.2021.02.002 – ident: e_1_2_8_13_1 doi: 10.1093/aje/kwv193 – ident: e_1_2_8_9_1 doi: 10.1158/1055-9965.EPI-07-2636 – ident: e_1_2_8_8_1 doi: 10.1016/S0140-6736(01)06524-2 – ident: e_1_2_8_24_1 doi: 10.1038/s41366-018-0103-4 – ident: e_1_2_8_17_1 doi: 10.1016/0960-9776(94)90003-5 – ident: e_1_2_8_22_1 doi: 10.1016/j.ajhg.2023.05.015 – ident: e_1_2_8_33_1 doi: 10.1158/1055-9965.Epi-15-0913 – ident: e_1_2_8_30_1 doi: 10.1093/jnci/djv036 |
SSID | ssj0011495 |
Score | 2.4412692 |
Snippet | A polygenic risk score (PRS) combines the associations of multiple genetic variants that could be due to direct causal effects, indirect genetic effects, or... |
SourceID | pubmedcentral proquest pubmed crossref wiley |
SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
StartPage | 401 |
SubjectTerms | Adult Breast cancer Breast Neoplasms - epidemiology Breast Neoplasms - genetics Causality causation familial confounding Family family data Family medical history Female Genetic analysis Genetic diversity Genetic Predisposition to Disease Genetic Risk Score Genome-Wide Association Study Heritability Humans ICE CRISTAL ICE FALCON Linkage disequilibrium Middle Aged Multifactorial Inheritance Polymorphism, Single Nucleotide Risk Factors siblings Statistical analysis |
Title | Causation and familial confounding as explanations for the associations of polygenic risk scores with breast cancer: Evidence from innovative ICE FALCON and ICE CRISTAL analyses |
URI | https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fgepi.22556 https://www.ncbi.nlm.nih.gov/pubmed/38472646 https://www.proquest.com/docview/3132700811 https://www.proquest.com/docview/2956681956 https://pubmed.ncbi.nlm.nih.gov/PMC11588973 |
Volume | 48 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1db9MwFLXGJCQkxMf4KozpIngBKV3jOImDeKlCy4rGmMYm7QVFduJARZVWS4sY_4p_yL12klGGkOAtiZ3EUc61j6-vz2XsmW8iHQ9i7emE554o85z6QeVxFfq6jAdlYUWS3h1Eeyfi7Wl4usFetXthnD5E53Ajy7D9NRm40vXuhWjoJ7OY9jkpaGEH7AcRCee_Puq0o3yi_k6Dk2KGkrDTJuW7F7euj0aXKOblSMlfGawdgsY32ce28S7y5Et_tdT9_Ptvuo7_-3W32I2Gm8LQgek22zDVFrvqslWeb7HrzsUHbufSHfYjVSsXCwSqKsC6ShDNgDPskpI14aAIqgbzbTFTzudYA1JkQMqJ1ztU1DAvYTGfnSOU8ekU6w41iWvWQE5i0BQ2v4Sc4Hn2Eto0qEAbY2DaJHX9amCSjmA83E_fH9jm0Gl6NPlwPNzHc1JeMfVddjIeHad7XpMBwsuFSCIvMEUpI2SFRgwCIYsYcY9mnfvCGL-QOlAhFpUql5qXnMuCm0gmUvlFGUhe-ME9tlnNK_OAQS6RacY60MJXIiikinEyZ7QIVRyXYVj02PMWCVneyKNTlo5Z5oSdeUa_JLO_pMeednUXThTkj7W2W0BlTcdQZ6SUGRMP83vsSVeMJk3rNKoy81WdcZyzRrS-iY-47_DXvSZANoEcFkvkGjK7CiQXvl5STT9b2XDk_lImcdBjLyzy_tL07M3ocGKPHv5L5UfsGkfO56J9ttnm8mxlHiNnW-oddoWLwx1roT8Bt-BBNg |
linkProvider | Wiley-Blackwell |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1db9MwFLVgCIGE-BhfhQEXwQuT0jWOkzi8VVVLC11Bo5P2FtmJAxVVWi0tYvwr_iH32mlGGUKCtyR2Ekc51z6-vj6XsZe-iXTcibWnE555osgy6geVx1Xo6yLuFLkVSTqcRMNj8fYkPKljc2gvjNOHaBxuZBm2vyYDJ4f0wblq6CeznLU5SWhdZlfsAh1xoqNGPcon8u9UOClqKAkbdVJ-cH7v9nh0gWRejJX8lcPaQWhwy2Varax2IcWefGmvV7qdff9N2fG_v-82u1nTU-g6PN1hl0y5y666hJVnu-yG8_KB27x0l_3oqbULBwJV5mC9JQhowEl2QfmacFwEVYH5tpwr53asAFkyIOvE6w0wKlgUsFzMzxDN-HQKd4eK9DUrID8xaIqcX0FGCD19DZtMqEB7Y2BW53X9amDU68OgO-69n9jm0GnvaPRx2h3jOYmvmOoeOx70p72hVyeB8DIhksgLTF7ICImhEZ1AyDxG6KNlZ74wxs-lDlSIRYXKpOYF5zLnJpKJVH5eBJLnfnCf7ZSL0jxkkEkkm7EOtPCVCHKpYpzPGS1CFcdFGOYt9moDhTSrFdIpUcc8ddrOPKVfktpf0mIvmrpLpwvyx1p7G0Sldd9QpSSWGRMV81vseVOMVk1LNao0i3WVcpy2RrTEiY944ADYvCZAQoE0FkvkFjSbCqQYvl1Szj5b5XCk_1ImcdBi-xZ6f2l6-qb_YWSPHv1L5Wfs2nB6OE7Ho8m7x-w6Rwrogn_22M7qdG2eIIVb6afWUH8CEJREfQ |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1tb9MwELbGEAgJIRhvhQGH4AtI2RrHSRzEl6q0rFBKBZu0b5Ed21CpSqulRexn8Q-5i9OMagiJb0nsvEj3XPz4fH6OsZehTXTaTXWgM14EwhUF_QdVwFUcapd2nalFkj5NkqMT8eE0Pt1hbzd7Ybw-RBtwI8-o_9fk4EvjDi9EQ7_Z5eyAk4LWFXZVIPAI31xM2zUE4v5ehJOShrK4FSflhxf3bg9Hlzjm5VTJPylsPQYNb7NbDXmEnrf2HbZjyz12zZeTPN9jN30MDvzWorvsV1-tfbIOqNJAHctAuAFOgR1VU8JRC1QF9udyrnxQsALksICcEK-3Zqtg4WC5mJ8j1vDplIwOFalfVkBRXNCU176CgvBz9gY2dUqBdq7ArKm6-sPCqD-AYW_c_zypP4dO-19GX497YzwnaRRb3WMnw8Fx_yhoSjQEhRBZEkTWOJkgbbOiGwlpUgQm-l0RCmtDI3WkYmxyqpCaO86l4TaRmVShcZHkJozus91yUdqHDAqJVDDVkRahEpGRKsXZltUiVmnq4th02KuNpfKi0S-nMhrz3Csv85ysmtdW7bAXbd-lV-34a6_9jcHzxnOrnKQsUyJKYYc9b5vR52ghRZV2sa5yjpPKhBYg8REPPD7a10Q43CPJxBa5hZy2A-l5b7eUs--1rjeScymzNOqw1zXI_vHp-fvBdFQfPfqfzs_Y9em7YT4eTT4-Zjc48jOfmbPPdldna_sE-dVKP63d6DcfKyKR |
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=Causation+and+familial+confounding+as+explanations+for+the+associations+of+polygenic+risk+scores+with+breast+cancer%3A+Evidence+from+innovative+ICE+FALCON+and+ICE+CRISTAL+analyses&rft.jtitle=Genetic+epidemiology&rft.au=Li%2C+Shuai&rft.au=Dite%2C+Gillian+S&rft.au=MacInnis%2C+Robert+J&rft.au=Bui%2C+Minh&rft.date=2024-12-01&rft.eissn=1098-2272&rft.volume=48&rft.issue=8&rft.spage=401&rft_id=info:doi/10.1002%2Fgepi.22556&rft_id=info%3Apmid%2F38472646&rft.externalDocID=38472646 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0741-0395&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0741-0395&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0741-0395&client=summon |