Consequences Of Natural Perturbations In The Human Plasma Proteome
By
Benjamin B Sun,
Joseph C. Maranville,
James Peters,
David Stacey,
James R Staley,
James Blackshaw,
Stephen Burgess,
Tao Jiang,
Ellie Paige,
Praveen Surendran,
Clare Oliver-Williams,
Mihir A. Kamat,
Bram P. Prins,
Sheri K. Wilcox,
Erik S. Zimmerman,
An Chi,
Narinder Bansal,
Sarah L. Spain,
Angela Wood,
Nicholas W. Morrell,
John R Bradley,
Nebojsa Janjic,
David J. Roberts,
Willem H. Ouwehand,
John A Todd,
Nicole Soranzo,
Karsten Suhre,
Dirk S Paul,
Caroline S. Fox,
Robert M. Plenge,
John N. Danesh,
Heiko Runz,
Adam S. Butterworth
Posted 05 May 2017
bioRxiv DOI: 10.1101/134551
(published DOI: 10.1038/s41586-018-0175-2)
Proteins are the primary functional units of biology and the direct targets of most drugs, yet there is limited knowledge of the genetic factors determining inter-individual variation in protein levels. Here we reveal the genetic architecture of the human plasma proteome, testing 10.6 million DNA variants against levels of 2,994 proteins in 3,301 individuals. We identify 1,927 genetic associations with 1,478 proteins, a 4-fold increase on existing knowledge, including trans associations for 1,104 proteins. To understand consequences of perturbations in plasma protein levels, we introduce an approach that links naturally occurring genetic variation with biological, disease, and drug databases. We provide insights into pathogenesis by uncovering the molecular effects of disease-associated variants. We identify causal roles for protein biomarkers in disease through Mendelian randomization analysis. Our results reveal new drug targets, opportunities for matching existing drugs with new disease indications, and potential safety concerns for drugs under development.
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