Genomic atlas of the human plasma proteome

Although plasma proteins have important roles in biological processes and are the direct targets of many drugs, the genetic factors that control inter-individual variation in plasma protein levels are not well understood. Here we characterize the genetic architecture of the human plasma proteome in...

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Published in:Nature (London) Vol. 558; no. 7708; pp. 73 - 79
Main Authors: Sun, Benjamin B., Maranville, Joseph C., Peters, James E., Stacey, David, Staley, James R., Blackshaw, James, Burgess, Stephen, Jiang, Tao, Paige, Ellie, Surendran, Praveen, Oliver-Williams, Clare, Kamat, Mihir A., Prins, Bram P., Wilcox, Sheri K., Zimmerman, Erik S., Chi, An, Bansal, Narinder, Spain, Sarah L., Wood, Angela M., Morrell, Nicholas W., Bradley, John R., Janjic, Nebojsa, Roberts, David J., Ouwehand, Willem H., Todd, John A., Soranzo, Nicole, Suhre, Karsten, Paul, Dirk S., Fox, Caroline S., Plenge, Robert M., Danesh, John, Runz, Heiko, Butterworth, Adam S.
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 01-06-2018
Nature Publishing Group
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Summary:Although plasma proteins have important roles in biological processes and are the direct targets of many drugs, the genetic factors that control inter-individual variation in plasma protein levels are not well understood. Here we characterize the genetic architecture of the human plasma proteome in healthy blood donors from the INTERVAL study. We identify 1,927 genetic associations with 1,478 proteins, a fourfold increase on existing knowledge, including trans associations for 1,104 proteins. To understand the consequences of perturbations in plasma protein levels, we apply an integrated approach that links genetic variation with biological pathway, disease, and drug databases. We show that protein quantitative trait loci overlap with gene expression quantitative trait loci, as well as with disease-associated loci, and find evidence that protein biomarkers have causal roles in disease using Mendelian randomization analysis. By linking genetic factors to diseases via specific proteins, our analyses highlight potential therapeutic targets, opportunities for matching existing drugs with new disease indications, and potential safety concerns for drugs under development. A genetic atlas of the human plasma proteome, comprising 1,927 genetic associations with 1,478 proteins, identifies causes of disease and potential drug targets.
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Present address: Biogen Inc., Cambridge, MA, USA.
These authors jointly supervised this work: Heiko Runz, Adam S. Butterworth.
Present address: Celgene Inc., Cambridge, MA, USA
ISSN:0028-0836
1476-4687
1476-4687
DOI:10.1038/s41586-018-0175-2