Genetic regulation of the human plasma proteome in 54,306 UK Biobank participants

Benjamin B. Sun(Biogen (United States)), Joshua Chiou(Pfizer (United States)), Matthew Traylor(Novo Nordisk (United Kingdom)), Christian Benner, Yi‐Hsiang Hsu(Amgen (United States)), Tom G. Richardson(Novo Nordisk (United Kingdom)), Praveen Surendran(GlaxoSmithKline (United Kingdom)), Anubha Mahajan, Chloe Robins(GlaxoSmithKline (United States)), Steven G. Grinnell(Bristol-Myers Squibb (United States)), Liping Hou(Janssen (United States)), Erika Kvikstad(Bristol-Myers Squibb (United States)), Oliver S. Burren(AstraZeneca (United Kingdom)), Madeleine Cule(Enzo Life Sciences (United States)), Jonathan Davitte(GlaxoSmithKline (United States)), Kyle Ferber(Biogen (United States)), Christopher E. Gillies(Regeneron (United States)), Åsa K. Hedman(Pfizer (Sweden)), Sile Hu(Novo Nordisk (United Kingdom)), Tin-Chi Lin(Biogen (United States)), Rajesh Mikkilineni(Takeda (United States)), Sarah A. Pendergrass, Corran Pickering(UK Biobank), Bram P. Prins(AstraZeneca (United Kingdom)), Anil Raj(Enzo Life Sciences (United States)), Jamie Robinson(Biogen (United States)), Anurag Sethi(Enzo Life Sciences (United States)), Lucas D. Ward(Alnylam Pharmaceuticals (United States)), Samantha Welsh(UK Biobank), Carissa M. Willis(Alnylam Pharmaceuticals (United States)), Alnylam Human Genetics(UK Biobank), AstraZeneca Genomics Initiative(Enzo Life Sciences (United States)), Biogen Biobank Team(Janssen (Belgium)), Bristol Myers Squibb(Pfizer (United States)), Genentech Human Genetics(Novo Nordisk (Finland)), GlaxoSmithKline Genomic Sciences(Regeneron (United States)), Pfizer Integrative Biology, Population Analytics of Janssen Data Sciences(Alnylam Pharmaceuticals (United States)), Lucy Burkitt-Gray(AstraZeneca (Australia)), Mary Helen Black(GlaxoSmithKline (Spain)), Eric B. Fauman(Takeda (United States)), Joanna M. M. Howson(Takeda (United States)), Hyun Min Kang(Janssen (Belgium)), Mark I. McCarthy(Regeneron (United States)), Eugene Melamud(Bristol-Myers Squibb (Germany)), Paul Nioi(Amgen (United States)), Slavé Petrovski(Pfizer (United States)), Robert A. Scott(Biogen (United States)), Erin N. Smith, Sándor Szalma, Dawn Waterworth, Lyndon J. Mitnaul, Joseph D. Szustakowski, Bradford W. Gibson, Melissa Miller, Christopher D. Whelan
bioRxiv (Cold Spring Harbor Laboratory)
June 18, 2022
Cited by 129Open Access
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Abstract

Abstract The UK Biobank Pharma Proteomics Project (UKB-PPP) is a collaboration between the UK Biobank (UKB) and thirteen biopharmaceutical companies characterising the plasma proteomic profiles of 54,306 UKB participants. Here, we describe results from the first phase of UKB-PPP, including protein quantitative trait loci (pQTL) mapping of 1,463 proteins that identifies 10,248 primary genetic associations, of which 85% are newly discovered. We also identify independent secondary associations in 92% of cis and 29% of trans loci, expanding the catalogue of genetic instruments for downstream analyses. The study provides an updated characterisation of the genetic architecture of the plasma proteome, leveraging population-scale proteomics to provide novel, extensive insights into trans pQTLs across multiple biological domains. We highlight genetic influences on ligand-receptor interactions and pathway perturbations across a diverse collection of cytokines and complement proteins, and illustrate long-range epistatic effects of ABO blood group and FUT2 secretor status on proteins with gastrointestinal tissue-enriched expression. We demonstrate the utility of these data for drug target discovery by extending the genetic proxied effect of PCSK9 levels on lipid concentrations, cardio- and cerebro-vascular diseases, and additionally disentangle specific genes and proteins perturbed at COVID-19 susceptibility loci. This public-private partnership provides the scientific community with an open-access proteomics resource of unprecedented breadth and depth to help elucidate biological mechanisms underlying genetic discoveries and accelerate the development of novel biomarkers and therapeutics.


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