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Consensus Genome-Wide Expression Quantitative Trait Loci and Their Relationship with Human Complex Trait Disease.
Yu, Chen-Hsin; Pal, Lipika R; Moult, John.
Afiliação
  • Yu CH; 1 Institute for Bioscience and Biotechnology Research, University of Maryland , Rockville, Maryland.
  • Pal LR; 2 Molecular and Cell Biology Concentration Area, Biological Sciences Graduate Program, University of Maryland , College Park, Maryland.
  • Moult J; 1 Institute for Bioscience and Biotechnology Research, University of Maryland , Rockville, Maryland.
OMICS ; 20(7): 400-14, 2016 07.
Article em En | MEDLINE | ID: mdl-27428252
ABSTRACT
Most of the risk loci identified from genome-wide association (GWA) studies do not provide direct information on the biological basis of a disease or on the underlying mechanisms. Recent expression quantitative trait locus (eQTL) association studies have provided information on genetic factors associated with gene expression variation. These eQTLs might contribute to phenotype diversity and disease susceptibility, but interpretation is handicapped by low reproducibility of the expression results. To address this issue, we have generated a set of consensus eQTLs by integrating publicly available data for specific human populations and cell types. Overall, we find over 4000 genes that are involved in high-confidence eQTL relationships. To elucidate the role that eQTLs play in human common diseases, we matched the high-confidence eQTLs to a set of 335 disease risk loci identified from the Wellcome Trust Case Control Consortium GWA study and follow-up studies for 7 human complex trait diseases-bipolar disorder (BD), coronary artery disease (CAD), Crohn's disease (CD), hypertension (HT), rheumatoid arthritis (RA), type 1 diabetes (T1D), and type 2 diabetes (T2D). The results show that the data are consistent with ∼50% of these disease loci arising from an underlying expression change mechanism.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Locos de Características Quantitativas / Estudo de Associação Genômica Ampla Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Locos de Características Quantitativas / Estudo de Associação Genômica Ampla Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article