Large-scale plasma proteomics comparisons through genetics and disease associations.

Humans Africa / ethnology Asia, Southern / ethnology Biological Specimen Banks Blood Proteins / analysis Datasets as Topic Disease Susceptibility Genome, Human / genetics Genomics Genotype Iceland / ethnology Ireland / ethnology Phenotype Plasma / chemistry Proteome / analysis Proteomics / methods Quantitative Trait Loci United Kingdom

Journal

Nature

ISSN: 1476-4687

Titre abrégé: Nature

Pays: England

ID NLM: 0410462

Informations de publication

Date de publication:
Oct 2023

Historique:

received: 04 08 2022

accepted: 22 08 2023

medline: 23 10 2023

pubmed: 5 10 2023

entrez: 4 10 2023

Statut: ppublish

Résumé

High-throughput proteomics platforms measuring thousands of proteins in plasma combined with genomic and phenotypic information have the power to bridge the gap between the genome and diseases. Here we performed association studies of Olink Explore 3072 data generated by the UK Biobank Pharma Proteomics Project

Identifiants

DOI: 10.1038/s41586-023-06563-x PMID: 37794188 PMC: PMC10567571

pubmed: 37794188

doi: 10.1038/s41586-023-06563-x

pii: 10.1038/s41586-023-06563-x

pmc: PMC10567571

doi:

Substances chimiques

Blood Proteins 0

Proteome 0

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

Pagination

348-358

Informations de copyright

Références

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