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...

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Published inGenetic epidemiology Vol. 48; no. 8; pp. 401 - 413
Main Authors Li, Shuai, Dite, Gillian S., MacInnis, Robert J., Bui, Minh, Nguyen, Tuong L., Esser, Vivienne F. C., Ye, Zhoufeng, Dowty, James G., Makalic, Enes, Sung, Joohon, Giles, Graham G., Southey, Melissa C., Hopper, John L.
Format Journal Article
LanguageEnglish
Published United States Wiley Subscription Services, Inc 01.12.2024
John Wiley and Sons Inc
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Online AccessGet full text
ISSN0741-0395
1098-2272
1098-2272
DOI10.1002/gepi.22556

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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
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Issue 8
Keywords ICE CRISTAL
familial confounding
siblings
causation
breast cancer
family data
ICE FALCON
Language English
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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
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pubmed
crossref
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SourceType Open Access Repository
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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
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