Integrated genome-wide analysis of expression quantitative trait loci aids interpretation of genomic association studies

Autor: Roby Joehanes, Daniel Levy, Quang Tri Nguyen, Poching Liu, Peter J. Munson, Xiaoling Zhang, Andrew D. Johnson, Josée Dupuis, Nataliya Sharopova, Kahraman Tanriverdi, Michael Feolo, Jane E. Freedman, Nancy L. Heard-Costa, Han Chen, Alejandro A. Schäffer, Richard J. Wang, Saixia Ying, Kimberly Woodhouse, Tianxiao Huan, Anne Sturcke, Chen Yao, Christopher J. O'Donnell, Nalini Raghavachari, Cumhur Y Demirkale
Rok vydání: 2016
Předmět:
Zdroj: Genome Biology
ISSN: 1474-760X
Popis: Background Identification of single nucleotide polymorphisms (SNPs) associated with gene expression levels, known as expression quantitative trait loci (eQTLs), may improve understanding of the functional role of phenotype-associated SNPs in genome-wide association studies (GWAS). The small sample sizes of some previous eQTL studies have limited their statistical power. We conducted an eQTL investigation of microarray-based gene and exon expression levels in whole blood in a cohort of 5257 individuals, exceeding the single cohort size of previous studies by more than a factor of 2. Results We detected over 19,000 independent lead cis-eQTLs and over 6000 independent lead trans-eQTLs, targeting over 10,000 gene targets (eGenes), with a false discovery rate (FDR)
Databáze: OpenAIRE