Expression Quantitative Trait Loci Information Improves Predictive Modeling of Disease Relevance of Non-Coding Genetic Variation

Disease-associated loci identified through genome-wide association studies (GWAS) frequently localize to non-coding sequence. We and others have demonstrated strong enrichment of such single nucleotide polymorphisms (SNPs) for expression quantitative trait loci (eQTLs), supporting an important role...

Full description

Saved in:

Bibliographic Details
Published in:	PloS one Vol. 10; no. 10; p. e0140758
Main Authors:	Croteau-Chonka, Damien C, Rogers, Angela J, Raj, Towfique, McGeachie, Michael J, Qiu, Weiliang, Ziniti, John P, Stubbs, Benjamin J, Liang, Liming, Martinez, Fernando D, Strunk, Robert C, Lemanske, Jr, Robert F, Liu, Andrew H, Stranger, Barbara E, Carey, Vincent J, Raby, Benjamin A
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 16-10-2015 Public Library of Science (PLoS)
Subjects:	Alleles Annotations Asthma Bioinformatics Blood Chromatin Chromosomes Critical care Disease Enhancers Female Gene expression Gene Expression Regulation Gene Frequency Genes Genetic diversity Genetic variation Genome-wide association studies Genome-Wide Association Study Genomes Hospitals Humans Immune System Diseases - genetics Immunological diseases Immunology Male Medical schools Medicine Meta-analysis Metabolic Diseases - genetics Models, Genetic Nucleotide sequence Pathogenesis Pediatrics Polymorphism, Single Nucleotide Population genetics Prediction models Predictive Value of Tests Principal components analysis Public health Quantitative Trait Loci Regression analysis Regression models Single nucleotide polymorphisms Single-nucleotide polymorphism Studies Transcription Womens health United States Taiwan United States > US Massachusetts Arizona
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!