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

Publication ,  Journal Article
Suhre, K; Arnold, M; Bhagwat, AM; Cotton, RJ; Engelke, R; Raffler, J; Sarwath, H; Thareja, G; Wahl, A; DeLisle, RK; Gold, L; Pezer, M ...
Published in: Nat Commun
February 27, 2017

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.

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Published In

Nat Commun

DOI

EISSN

2041-1723

Publication Date

February 27, 2017

Volume

8

Start / End Page

14357

Location

England

Related Subject Headings

  • Risk Factors
  • Reproducibility of Results
  • RNA, Messenger
  • RNA Splicing
  • Quantitative Trait Loci
  • Proteome
  • Protein Processing, Post-Translational
  • Pharmacogenetics
  • Molecular Sequence Annotation
  • Humans
 

Citation

APA
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MLA
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Suhre, K., Arnold, M., Bhagwat, A. M., Cotton, R. J., Engelke, R., Raffler, J., … Graumann, J. (2017). Connecting genetic risk to disease end points through the human blood plasma proteome. Nat Commun, 8, 14357. https://doi.org/10.1038/ncomms14357
Suhre, Karsten, Matthias Arnold, Aditya Mukund Bhagwat, Richard J. Cotton, Rudolf Engelke, Johannes Raffler, Hina Sarwath, et al. “Connecting genetic risk to disease end points through the human blood plasma proteome.Nat Commun 8 (February 27, 2017): 14357. https://doi.org/10.1038/ncomms14357.
Suhre K, Arnold M, Bhagwat AM, Cotton RJ, Engelke R, Raffler J, et al. Connecting genetic risk to disease end points through the human blood plasma proteome. Nat Commun. 2017 Feb 27;8:14357.
Suhre, Karsten, et al. “Connecting genetic risk to disease end points through the human blood plasma proteome.Nat Commun, vol. 8, Feb. 2017, p. 14357. Pubmed, doi:10.1038/ncomms14357.
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. Connecting genetic risk to disease end points through the human blood plasma proteome. Nat Commun. 2017 Feb 27;8:14357.

Published In

Nat Commun

DOI

EISSN

2041-1723

Publication Date

February 27, 2017

Volume

8

Start / End Page

14357

Location

England

Related Subject Headings

  • Risk Factors
  • Reproducibility of Results
  • RNA, Messenger
  • RNA Splicing
  • Quantitative Trait Loci
  • Proteome
  • Protein Processing, Post-Translational
  • Pharmacogenetics
  • Molecular Sequence Annotation
  • Humans