Pathogen exposure misclassification can bias association signals in GWAS of infectious diseases when using population-based common control subjects.

ABSTRACT: Genome-wide association studies (GWASs) have been performed to identify host genetic factors for a range of phenotypes, including for infectious diseases. The use of population-based common control subjects from biobanks and extensive consortia is a valuable resource to increase sample sizes in the identification of associated loci with minimal additional expense. Non-differential misclassification of the outcome has been reported when the control subjects are not well characterized, which often attenuates the true effect size. However, for infectious diseases the comparison of affected subjects to population-based common control subjects regardless of pathogen exposure can also result in selection bias. Through simulated comparisons of pathogen-exposed cases and population-based common co

SUBMITTER: Duchen D 

PROVIDER: S-EPMC9943744 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature