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A theory-based practical solution to correct for sex-differential participation bias

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Authors

Lee, Hanbin; Han, Buhm

Issue Date
2022-06
Publisher
BioMed Central
Citation
Genome Biology, Vol.23 No.1, p. 138
Abstract
Most genomic cohorts are retrospective where the exposures and outcomes are predetermined prior to sample collection. Therefore, a spurious association between an exposure and an outcome can arise if both variables affect study participation. Such concerns were raised in previous studies questioning the representativeness of the UK Biobank Recently, a genome-wide association study (GWAS) on biological sex found many autosomal hits and non-negligible autosomal heritability which the authors attribute to selection bias. In this study, we propose a simple and a practical method that can overcome sex-driven selection bias based on theoretical analysis and simulations.
ISSN
1474-7596
URI
https://hdl.handle.net/10371/185344
DOI
https://doi.org/10.1186/s13059-022-02703-0
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  • College of Medicine
  • Department of Medicine
Research Area Bioinformatics, Genomics, Statistical Genetics

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