Connecting genetic risk to disease end points through the human blood plasma proteome

Genome-wide association studies (GWAS) with intermediate phenotypes, like changes in metabolite and protein levels, provide functional evidence to map disease associations and translate them into clinical applications. However, although hundreds of genetic variants have been associated with complex...

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Bibliographic Details
Published in:	Nature communications Vol. 8; no. 1; pp. 14357 - 14
Main Authors:	Suhre, Karsten, Arnold, Matthias, Bhagwat, Aditya Mukund, Cotton, Richard J., Engelke, Rudolf, Raffler, Johannes, Sarwath, Hina, Thareja, Gaurav, Wahl, Annika, DeLisle, Robert Kirk, Gold, Larry, Pezer, Marija, Lauc, Gordan, El-Din Selim, Mohammed A., Mook-Kanamori, Dennis O., Al-Dous, Eman K., Mohamoud, Yasmin A., Malek, Joel, Strauch, Konstantin, Grallert, Harald, Peters, Annette, Kastenmüller, Gabi, Gieger, Christian, Graumann, Johannes
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 27.02.2017 Nature Publishing Group Nature Portfolio
Subjects:	631/208/205/2138 631/45/475 82/47 Alleles Alzheimer's disease Blood Proteins - metabolism Cardiovascular disease Complement System Proteins - metabolism Diabetes Drug Delivery Systems Education Endpoint Determination Environmental health Epidemiology Gene Regulatory Networks Genetic Predisposition to Disease Genetic variance Genetic Variation Genome, Human Genome-Wide Association Study Genomes Glycoproteins - metabolism Health risk assessment Heme - metabolism Humanities and Social Sciences Humans Immunoassay Metabolites Molecular Sequence Annotation multidisciplinary Pharmacogenetics Plasma Protein Processing, Post-Translational - genetics Proteins Proteome - genetics Proteome - metabolism Proteomics Quantitative Trait Loci Reproducibility of Results Research centers Risk Factors RNA Splicing - genetics RNA, Messenger - genetics RNA, Messenger - metabolism Science Science (multidisciplinary) Scientific imaging Qatar Germany
ISSN:	2041-1723, 2041-1723
Online Access:	Get full text
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