Prediction of causal genes at GWAS loci with pleiotropic gene regulatory effects using sets of correlated instrumental variables

2024/01/11 by Adriaan-Alexander Ludl, Khan, Mariyam, Ludl, Adriaan-Alexander +6
Biochemistry, Genetics and Molecular Biology · #Genetic Associations and Epidemiology #Genetic and phenotypic traits in livestock #Genetic Mapping and Diversity in Plants and Animals

paper · doi:10.48550/arxiv.2401.06261

Abstract

-eQTL associations at a given locus in a single model to predict causal gene-tissue combinations remains infeasible. Our results show that within tissues, MVMR with dependent, as opposed to independent, sets of instrumental variables significantly expands the scope for predicting causal genes in disease risk loci with pleiotropic regulatory effects. However, considering risk loci with regulatory pleiotropy that also spans across tissues remains an unsolved problem.

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