TY - JOUR T1 - Cross-population Meta-analysis of eQTLs: Fine Mapping and Functional Study JF - bioRxiv DO - 10.1101/008797 SP - 008797 AU - Xiaoquan Wen AU - Francesca Luca AU - Roger Pique-Regi Y1 - 2014/01/01 UR - http://biorxiv.org/content/early/2014/09/04/008797.abstract N2 - Mapping expression quantitative trait loci (eQTLs) has been shown as a powerful tool to uncover the genetic underpinnings of many complex traits at the molecular level. In this paper, we present an integrative analysis approach that leverages eQTL data collected from multiple population groups. In particular, our approach effectively identifies multiple independent cis-eQTL signals that are consistently presented across populations, accounting for population heterogeneity in allele frequencies and linkage disequilibrium patterns. Furthermore, by integrating genomic annotations, our analysis framework enables high-resolution functional analysis of eQTLs. We applied our statistical approach to analyze the GEUVADIS data consisting of samples from five population groups. From this analysis, we concluded that i) jointly analysis across population groups greatly improves the power of eQTL discovery and the resolution of fine mapping of causal eQTL. ii) many genes harbor multiple independent eQTLs in their cis regions iii) genetic variants that disrupt transcription factor binding are significantly enriched in eQTLs (p-value = 4.93 × 10−22).Author Summary Expression quantitative trait loci (eQTLs) are genetic variants associated with gene expression phenotypes. Mapping eQTLs enables studying genetic basis of gene expression variation. In this study, we introduce a statistical framework to analyze genotype-expression data collected from multiple population groups. We show that our approach is particularly effective in identifying potentially multiple independent eQTL signals that are consistently presented across populations in the proximity of a gene. In addition, our analysis framework allows effective integration of genomic annotations into eQTL analysis, which is helpful to dissect the functional basis of eQTLs. ER -