A robust example of collider bias in a genetic association study
bioRxiv (Cold Spring Harbor Laboratory)2015
Citations Over Time
Abstract
Recent studies have described the potential for ″collider bias″ to modify the magnitude of genotype-phenotype associations, however the extent to which this effect can induce a completely false-positive association remains unclear. In a sample of 142,630 individuals from the UK Biobank study, inclusion of height (a ″collider″) as a covariate induces biologically spurious, but genome-wide significant, associations between autosomal genetic variants and sex. These associations are non-significant in models unadjusted for height. Our study underpins the importance of causal inference modeling in the design and interpretation of genetic (and non-genetic) association studies.
Related Papers
- → The Significance of Biobanking in the Sustainability of Biomedical Research: A Review(2020)17 cited
- → Integrating biomedical and clinical data with BioBank Japan(2022)2 cited
- → Russian National Association of Biobanks and Biobanking Specialists — a tool for integrating Russian biobanks and increasing the efficiency of biomedical research Drapkina O. M.(2020)11 cited
- → Types of Biobanks(2022)3 cited
- → MGA Biobank - A Multispecialistic Project Biobank in Slovakia(2023)