ArticleInternational journal of epidemiology2017
Mortality selection in a genetic sample and implications for association studies.
Article in International journal of epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 2 of them syntheses that pooled it.
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Who cites it
54 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Trans-Ethnic Meta-Analysis of Interactions Between Genetics and Early-Life Socioeconomic Context on Memory Performance and Decline in Older Americans.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022Pooled it
- A scientometric review of genome-wide association studies.Communications biology · 2019Pooled it
- Genetic, Socioecological, and Health Research on Extreme Longevity in Semisupercentenarians and Supercentenarians: A Scoping Review.Journal of aging research · 2026Article
- Correcting for volunteer bias in GWAS increases SNP effect sizes and heritability estimates.Nature communications · 2025Article
- Understanding causal estimates of smoking behaviors for cognitive impairment: A Mendelian randomization study.Journal of Alzheimer's disease : JAD · 2025Article
- Mid-to-Late Life Healthy Lifestyle Modifies Genetic Risk for Longitudinal Cognitive Aging among Asymptomatic Individuals.medRxiv : the preprint server for health sciences · 2024Article
- Educational Influences on Late-Life Health: Genetic Propensity and Attained Education.The journals of gerontology. Series B, Psychological sciences and social sciences · 2024Article
- Early life malnutrition and risk of T2DM adulthood: evidence from the lower socioeconomic status of northwest Chinese population.Frontiers in nutrition · 2024Article
- Heterogenous trajectories in physical, mental and cognitive health among older Americans: Roles of genetics and life course contextual factors.SSM - population health · 2023Article
- The Mode Effect of Web-Based Surveying on the 2018 U.S. Health and Retirement Study Measure of Cognitive Functioning.The journals of gerontology. Series B, Psychological sciences and social sciences · 2023Article
- Decoupling genetics from attainments: The role of social environments.Economics and human biology · 2023Article
- Partners in Health: Investigating Social Genetic Effects Among Married and Cohabiting Couples.Behavior genetics · 2023Article
- Cohort profile: Genetic data in the German Socio-Economic Panel Innovation Sample (SOEP-G).PloS one · 2023Article
- In utero exposure to the Great Depression is reflected in late-life epigenetic aging signatures.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Incarceration, polygenic risk, and depressive symptoms among males in late adulthood.Social science research · 2022Article
- Modeling Interaction and Dispersion Effects in the Analysis of Gene-by-Environment Interaction.Behavior genetics · 2022Article
- Exploring Rural-Urban Differences in Polygenic Associations for Health among Older Adults in the United States.Journal of rural social sciences · 2022Article
- Gene-environment Interactions and School Tracking during Secondary Education: Evidence from the U.S.Research in social stratification and mobility · 2021Article
- Phenotypic and genetic markers of psychopathology in a population-based sample of older adults.Translational psychiatry · 2021Article
- The impact of late-career job loss and genetic risk on body mass index: Evidence from variance polygenic scores.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Background: Mortality selection occurs when a non-random subset of a population of interest has died before data collection and is unobserved in the data. Mortality selection is of general concern in the social and health sciences, but has received little attention in genetic epidemiology. We tested the hypothesis that mortality selection may bias genetic association estimates, using data from the US-based Health and Retirement Study (HRS). Methods: We tested mortality selection into the HRS genetic database by comparing HRS respondents who survive until genetic data collection in 2006 with those who do not. We next modelled mortality selection on demographic, health and social characteristics to calculate mortality selection probability weights. We analysed polygenic score associations with several traits before and after applying inverse-probability weighting to account for mortality selection. We tested simple associations and time-varying genetic associations (i.e. gene-by-cohort interactions). Results: We observed mortality selection into the HRS genetic database on demographic, health and social characteristics. Correction for mortality selection using inverse probability weighting methods did not change simple association estimates. However, using these methods did change estimates of gene-by-cohort interaction effects. Correction for mortality selection changed gene-by-cohort interaction estimates in the opposite direction from increased mortality selection based on analysis of HRS respondents surviving through 2012. Conclusions: Mortality selection may bias estimates of gene-by-cohort interaction effects. Analyses of HRS data can adjust for mortality selection associated with observables by including probability weights. Mortality selection is a potential confounder of genetic association studies, but the magnitude of confounding varies by trait.
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