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

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 s...

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Bibliographic Details
Published in:	Genome Biology Vol. 18; no. 1; p. 16
Main Authors:	Joehanes, Roby, Zhang, Xiaoling, Huan, Tianxiao, Yao, Chen, Ying, Sai-xia, Nguyen, Quang Tri, Demirkale, Cumhur Yusuf, Feolo, Michael L., Sharopova, Nataliya R., Sturcke, Anne, Schäffer, Alejandro A., Heard-Costa, Nancy, Chen, Han, Liu, Po-ching, Wang, Richard, Woodhouse, Kimberly A., Tanriverdi, Kahraman, Freedman, Jane E., Raghavachari, Nalini, Dupuis, Josée, Johnson, Andrew D., O’Donnell, Christopher J., Levy, Daniel, Munson, Peter J.
Format:	Journal Article
Language:	English
Published:	London BioMed Central 25.01.2017 Springer Nature B.V
Subjects:	Adult Aged Alleles Animal Genetics and Genomics as Revealed Through Genomics Bioinformatics Biomedical and Life Sciences Blood Cluster Analysis Coronary artery coronary artery disease Disease DNA methylation DNA microarrays Evolutionary Biology exons Female Gene Expression Gene Expression Profiling Gene Frequency Genetic Predisposition to Disease genome-wide association study Genome-Wide Association Study - methods Genomes Genomics Genomics - methods Heart diseases Human Genetics human physiology Humans Life Sciences loci Male meta-analysis microarray technology Microbial Genetics and Genomics microRNA MicroRNAs - genetics Middle Aged miRNA pathophysiology phenotype Phenotypes Plant Genetics and Genomics Polymorphism Polymorphism, Single Nucleotide Quantitative Trait Loci Regulatory Sequences, Nucleic Acid Reproducibility of Results Single-nucleotide polymorphism Studies The Biology of Human Diseases Web Browser Framingham Heart Study Transcript Cluster eQTL Study Cluster Pair Exon Array
ISSN:	1474-760X, 1474-7596, 1474-760X
Online Access:	Get full text
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