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Plasma proteomic associations with genetics and health in the UK Biobank.
Sun, Benjamin B; Chiou, Joshua; Traylor, Matthew; Benner, Christian; Hsu, Yi-Hsiang; Richardson, Tom G; Surendran, Praveen; Mahajan, Anubha; Robins, Chloe; Vasquez-Grinnell, Steven G; Hou, Liping; Kvikstad, Erika M; Burren, Oliver S; Davitte, Jonathan; Ferber, Kyle L; Gillies, Christopher E; Hedman, Åsa K; Hu, Sile; Lin, Tinchi; Mikkilineni, Rajesh; Pendergrass, Rion K; Pickering, Corran; Prins, Bram; Baird, Denis; Chen, Chia-Yen; Ward, Lucas D; Deaton, Aimee M; Welsh, Samantha; Willis, Carissa M; Lehner, Nick; Arnold, Matthias; Wörheide, Maria A; Suhre, Karsten; Kastenmüller, Gabi; Sethi, Anurag; Cule, Madeleine; Raj, Anil; Burkitt-Gray, Lucy; Melamud, Eugene; Black, Mary Helen; Fauman, Eric B; Howson, Joanna M M; Kang, Hyun Min; McCarthy, Mark I; Nioi, Paul; Petrovski, Slavé; Scott, Robert A; Smith, Erin N; Szalma, Sándor; Waterworth, Dawn M.
Afiliación
  • Sun BB; Translational Sciences, Research & Development, Biogen, Cambridge, MA, USA. bbsun92@outlook.com.
  • Chiou J; Internal Medicine Research Unit, Worldwide Research, Development and Medical, Pfizer, Cambridge, MA, USA.
  • Traylor M; Human Genetics Centre of Excellence, Novo Nordisk Research Centre Oxford, Oxford, UK.
  • Benner C; Genentech, San Francisco, CA, USA.
  • Hsu YH; Amgen Research, Cambridge, MA, USA.
  • Richardson TG; Human Genetics Centre of Excellence, Novo Nordisk Research Centre Oxford, Oxford, UK.
  • Surendran P; Genomic Sciences, GlaxoSmithKline, Stevenage, UK.
  • Mahajan A; Genomic Sciences, GlaxoSmithKline, Stevenage, UK.
  • Robins C; Genentech, San Francisco, CA, USA.
  • Vasquez-Grinnell SG; Genomic Sciences, GlaxoSmithKline, Collegeville, PA, USA.
  • Hou L; Bristol Myers Squibb, Princeton, NJ, USA.
  • Kvikstad EM; Population Analytics, Janssen Research & Development, Spring House, PA, USA.
  • Burren OS; Bristol Myers Squibb, Princeton, NJ, USA.
  • Davitte J; Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.
  • Ferber KL; Genomic Sciences, GlaxoSmithKline, Collegeville, PA, USA.
  • Gillies CE; Biostatistics, Research and Development, Biogen, Cambridge, MA, USA.
  • Hedman ÅK; Regeneron Genetics Center, Tarrytown, NY, USA.
  • Hu S; External Science and Innovation Target Sciences, Worldwide Research, Development and Medical, Pfizer, Stockholm, Sweden.
  • Lin T; Human Genetics Centre of Excellence, Novo Nordisk Research Centre Oxford, Oxford, UK.
  • Mikkilineni R; Analytics and Data Sciences, Biogen, Cambridge, MA, USA.
  • Pendergrass RK; Data Science Institute, Takeda Development Center Americas, Cambridge, MA, USA.
  • Pickering C; Genentech, San Francisco, CA, USA.
  • Prins B; UK Biobank, Stockport, UK.
  • Baird D; Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.
  • Chen CY; Translational Sciences, Research & Development, Biogen, Cambridge, MA, USA.
  • Ward LD; Translational Sciences, Research & Development, Biogen, Cambridge, MA, USA.
  • Deaton AM; Alnylam Human Genetics, Discovery & Translational Research, Alnylam Pharmaceuticals, Cambridge, MA, USA.
  • Welsh S; Alnylam Human Genetics, Discovery & Translational Research, Alnylam Pharmaceuticals, Cambridge, MA, USA.
  • Willis CM; UK Biobank, Stockport, UK.
  • Lehner N; Alnylam Human Genetics, Discovery & Translational Research, Alnylam Pharmaceuticals, Cambridge, MA, USA.
  • Arnold M; Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
  • Wörheide MA; Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
  • Suhre K; Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
  • Kastenmüller G; Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
  • Sethi A; Bioinformatics Core, Weill Cornell Medicine-Qatar, Doha, Qatar.
  • Cule M; Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
  • Raj A; Calico Life Sciences, San Francisco, CA, USA.
  • Black MH; UK Biobank, Stockport, UK.
  • Fauman EB; Calico Life Sciences, San Francisco, CA, USA.
  • Howson JMM; Population Analytics, Janssen Research & Development, Spring House, PA, USA.
  • Kang HM; Internal Medicine Research Unit, Worldwide Research, Development and Medical, Pfizer, Cambridge, MA, USA.
  • McCarthy MI; Human Genetics Centre of Excellence, Novo Nordisk Research Centre Oxford, Oxford, UK.
  • Nioi P; Regeneron Genetics Center, Tarrytown, NY, USA.
  • Petrovski S; Genentech, San Francisco, CA, USA.
  • Scott RA; Alnylam Human Genetics, Discovery & Translational Research, Alnylam Pharmaceuticals, Cambridge, MA, USA.
  • Smith EN; Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.
  • Szalma S; Department of Medicine, University of Melbourne, Austin Health, Melbourne, Victoria, Australia.
  • Waterworth DM; Genomic Sciences, GlaxoSmithKline, Stevenage, UK.
Nature ; 622(7982): 329-338, 2023 Oct.
Article en En | MEDLINE | ID: mdl-37794186
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proteínas Sanguíneas / Salud / Bases de Datos Factuales / Bancos de Muestras Biológicas / Proteoma / Genómica / Proteómica Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Nature Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proteínas Sanguíneas / Salud / Bases de Datos Factuales / Bancos de Muestras Biológicas / Proteoma / Genómica / Proteómica Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Nature Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos