Back to Search Start Over

Proteome-by-phenome Mendelian Randomisation detects 38 proteins with causal roles in human diseases and traits

Authors :
Veronique Vitart
J Kenneth Baillie
Andrew D. Bretherick
Caroline Hayward
Albert Tenesa
James F. Wilson
Carmen Amador
Harry Campbell
Thibaud Boutin
Igor Rudan
Peter K. Joshi
Chris Haley
Yanni Zeng
Alan F. Wright
David W. Clark
Oriol Canela-Xandri
Chris P. Ponting
Konrad Rawlik
Pau Navarro
Publication Year :
2019
Publisher :
Cold Spring Harbor Laboratory, 2019.

Abstract

Target identification remains a crucial challenge in drug development. To enable unbiased detection of proteins and pathways that have a causal role in disease pathogenesis or progression, we propose proteome-by-phenome Mendelian Randomisation (P2MR). We first detected genetic variants associated with plasma concentration of 249 proteins. We then used 64 replicated variants in two-sample Mendelian Randomisation to quantify evidence of a causal role for each protein across 846 phenotypes: this yielded 509 robust protein-outcome links. P2MR provides substantial promise for drug target prioritisation. We provide confirmatory evidence for a causal role for the proteins encoded at multiple cardiovascular disease risk loci (FGF5, IL6R, LPL, LTA), and discovered that intestinal fatty acid binding protein (FABP2) contributes to disease pathogenesis. Additionally, we find and replicate evidence for a causal role of tyrosine-protein phosphatase non-receptor type substrate 1 (SHPS1; SIRPA) in schizophrenia. Our results provide specific prediction of the effects of changes of plasma protein concentration on complex phenotypes in humans.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....7fed80c4ff53106e9b7b4be26f204a04
Full Text :
https://doi.org/10.1101/631747