Sun, Benjamin B. and Chiou, Joshua and Traylor, Matthew and Benner, Christian and Hsu, Yi-Hsiang and Richardson, Tom G. and Surendran, Praveen and Mahajan, Anubha and Robins, Chloe and Vasquez-Grinnell, Steven G. and Hou, Liping and Kvikstad, Erika M. and Burren, Oliver S. and Davitte, Jonathan and Ferber, Kyle L. and Gillies, Christopher E. and Hedman, Åsa K. and Hu, Sile and Lin, Tinchi and Mikkilineni, Rajesh and Pendergrass, Rion K. and Pickering, Corran and Prins, Bram and Baird, Denis and Chen, Chia-Yen and Ward, Lucas D. and Deaton, Aimee M. and Welsh, Samantha and Willis, Carissa M. and Lehner, Nick and Arnold, Matthias and Wörheide, Maria A. and Suhre, Karsten and Kastenmüller, Gabi and Sethi, Anurag and Cule, Madeleine and Raj, Anil and Kang, Hyun Ming and Burkitt-Gray, Lucy and Melamud, Eugene and Black, Mary Helen and Fauman, Eric B. and Howson, Joanna M. M. and Kang, Hyun Min and McCarthy, Mark I. and Nioi, Paul and Petrovski, Slavé and Scott, Robert A. and Smith, Erin N. and Szalma, Sándor and Waterworth, Dawn M. and Mitnaul, Lyndon J. and Szustakowski, Joseph D. and Gibson, Bradford W. and Miller, Melissa R. and Whelan, Christopher D. (2023) Plasma proteomic associations with genetics and health in the UK Biobank. Nature, 622 (7982). pp. 329-338. ISSN 0028-0836
s41586-023-06592-6.pdf - Published Version
Download (18MB)
Abstract
The Pharma Proteomics Project is a precompetitive biopharmaceutical consortium characterizing the plasma proteomic profiles of 54,219 UK Biobank participants. Here we provide a detailed summary of this initiative, including technical and biological validations, insights into proteomic disease signatures, and prediction modelling for various demographic and health indicators. We present comprehensive protein quantitative trait locus (pQTL) mapping of 2,923 proteins that identifies 14,287 primary genetic associations, of which 81% are previously undescribed, alongside ancestry-specific pQTL mapping in non-European individuals. The study provides an updated characterization of the genetic architecture of the plasma proteome, contextualized with projected pQTL discovery rates as sample sizes and proteomic assay coverages increase over time. We offer extensive insights into trans pQTLs across multiple biological domains, highlight genetic influences on ligand–receptor interactions and pathway perturbations across a diverse collection of cytokines and complement networks, 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 discovery by extending the genetic proxied effects of protein targets, such as PCSK9, on additional endpoints, and disentangle specific genes and proteins perturbed at loci associated with COVID-19 susceptibility. This public–private partnership provides the scientific community with an open-access proteomics resource of considerable breadth and depth to help to elucidate the biological mechanisms underlying proteo-genomic discoveries and accelerate the development of biomarkers, predictive models and therapeutics1.
Item Type: | Article |
---|---|
Subjects: | STM Academic > Multidisciplinary |
Depositing User: | Unnamed user with email support@stmacademic.com |
Date Deposited: | 10 Nov 2023 07:06 |
Last Modified: | 10 Nov 2023 07:06 |
URI: | http://article.researchpromo.com/id/eprint/1763 |