Mortality selection in a genetic sample and implications for association studies

International Journal of Epidemiology
Benjamin W DomingueJason D Boardman

Abstract

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). 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). 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 th...Continue Reading

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Related Concepts

Study
Truncation Biases
Genes
Mental Health Wellness 1
Kaplan-Meier Estimate
Cessation of Life
Opposite
Weighing Patient
Genetic Association Studies
Genetic Sample

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