Connecting genetic risk to disease end points through the human blood plasma proteome
Weill Cornell Medical College in Qatar · Helmholtz Zentrum München · +12 more institutions
Abstract
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…
Citation impact
- FWCI
- 42.84
- Percentile
- 100%
- References
- 74
Authors
24- KSKarsten SuhreCorresponding
Weill Cornell Medical College in Qatar
- MAMatthias Arnold
Helmholtz Zentrum München, Institute of Bioinformatics and Systems Biology
- ABAditya Bhagwat
Weill Cornell Medical College in Qatar
- RCRichard Cotton
Weill Cornell Medical College in Qatar
- RERudolf Engelke
Weill Cornell Medical College in Qatar
Topics & keywords
- Genome-wide association study
- Computational biology
- Proteome
- Biology
- Genetic association
- Disease
- Genome
- Proteomics