Biostatistics Events

Biostatistics Seminar Series

Lin Chen, University of Chicago

Thursday 3/5 3:30PM - 4:30PM
Public Health Lecture Hall (A115)

Cross-condition mediation analysis for mapping robust trans-associations and validation via two-sample Mendelian Randomization analysis

Trans-eQTLs explain a substantial proportion of expression variation, yet are challenging to be detected and replicated since their effects often act in a tissue-specific manner. Many trans-effects are mediated via cis-gene expression and some of those effects are shared across tissue types/conditions. In order to detect robust cis-mediated trans-associations, we proposed a Cross-Condition Mediation method (CCmed-gene). We analyzed data from multiple brain tissue types of the Genotype-Tissue Expression (GTEx) project, and identified 9,631 cis- and trans-gene pairs with gene-level trans-association and mediation effects, many of which showed evidence of replication in other datasets. In order to detect trans-genes for GWAS SNPs of a complex trait, we further developed CCmed-GWAS, and applied it to identify suspected trans-genes associated with 108 known schizophrenia susceptibility loci. To validate the trait-associations of the suspected trans-genes, we conducted validation analyses using a newly proposed two-sample Mendelian Randomization method, MR-Robin, in which we harnessed GWAS summary statistics from the Psychiatric Genomics Consortium and multitissue eQTL statistics from GTEx.

Last Updated On Monday, February 24, 2020 by Wang, Jiebiao
Created On Wednesday, December 18, 2019