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

Published online

Journal Article

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 disorders, the underlying molecular pathways often remain elusive. Associations with intermediate traits are key in establishing functional links between GWAS-identified risk-variants and disease end points. Here we describe a GWAS using a highly multiplexed aptamer-based affinity proteomics platform. We quantify 539 associations between protein levels and gene variants (pQTLs) in a German cohort and replicate over half of them in an Arab and Asian cohort. Fifty-five of the replicated pQTLs are located in trans. Our associations overlap with 57 genetic risk loci for 42 unique disease end points. We integrate this information into a genome-proteome network and provide an interactive web-tool for interrogations. Our results provide a basis for novel approaches to pharmaceutical and diagnostic applications.

Full Text

Duke Authors

Cited Authors

  • Suhre, K; Arnold, M; Bhagwat, AM; Cotton, RJ; Engelke, R; Raffler, J; Sarwath, H; Thareja, G; Wahl, A; DeLisle, RK; Gold, L; Pezer, M; Lauc, G; El-Din Selim, MA; Mook-Kanamori, DO; Al-Dous, EK; Mohamoud, YA; Malek, J; Strauch, K; Grallert, H; Peters, A; Kastenmüller, G; Gieger, C; Graumann, J

Published Date

  • February 27, 2017

Published In

Volume / Issue

  • 8 /

Start / End Page

  • 14357 -

PubMed ID

  • 28240269

Pubmed Central ID

  • 28240269

Electronic International Standard Serial Number (EISSN)

  • 2041-1723

Digital Object Identifier (DOI)

  • 10.1038/ncomms14357

Language

  • eng

Conference Location

  • England