Integrative analysis of the plasma proteome and polygenic risk of cardiometabolic diseases.

doi:10.1038/s42255-021-00478-5

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Community

Back to search

Article

Integrative analysis of the plasma proteome and polygenic risk of cardiometabolic diseases.

Nature metabolism - 1 Nov 2021

Ritchie Scott C, Lambert Samuel A, Arnold Matthew, Teo Shu Mei, Lim Sol, Scepanovic Petar, Marten Jonathan, Zahid Sohail, Chaffin Mark, Liu Yingying, Abraham Gad, Ouwehand Willem H, Roberts David J, Watkins Nicholas A, Drew Brian G, Calkin Anna C, Di Angelantonio Emanuele, Soranzo Nicole, Burgess Stephen, Chapman Michael, Kathiresan Sekar, Khera Amit V, Danesh John, Butterworth Adam S, Inouye Michael

Abstract excerpt

Cardiometabolic diseases are frequently polygenic in architecture, comprising a large number of risk alleles with small effects spread across the genome1-3. Polygenic scores (PGS) aggregate these into a metric representing an individual's genetic predisposition to disease. PGS have shown promise for early risk prediction4-7 and there is an open question as to whether PGS can also be used to understand disease...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Blood Proteins

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Disease Management

Share to England

Share to Heart Diseases

Share to Metabolic Diseases

Share to Multifactorial Inheritance

Share to Proteome

Share to Public Health Surveillance

Source

Open in PubMed Open full text

Identifiers

PMID: 34750571
DOI: 10.1038/s42255-021-00478-5
PMCID: PMC8574944

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrative analysis of the plasma proteome and polygenic risk of cardiometabolic diseases.PMID 34750571Read ↗

Integrative analysis of the plasma proteome and polygenic risk of cardiometabolic diseasesSemantic proximity Read ↗

Whole genome sequencing analysis of the cardiometabolic proteomeSemantic proximity Read ↗

Whole-genome sequencing analysis of the cardiometabolic proteome.Semantic proximity Read ↗

Large-scale evaluation of proteomic and polygenic risk scores reveals complementary contributions to incident disease predictionSemantic proximity Read ↗

Identification of plasma proteomic markers underlying polygenic risk of type 2 diabetes and related comorbiditiesSemantic proximity Read ↗

Identification of plasma proteomic markers underlying polygenic risk of type 2 diabetes and related comorbidities.Semantic proximity Read ↗

Multi-molecular scores map process-specific polygenic diabetes risk to atherosclerosis, cardiometabolic diseases, and vascular complicationsSemantic proximity Read ↗

Polygenic risk scores for the prediction of cardiometabolic disease.Semantic proximity Read ↗

Proteomic analysis of 92 circulating proteins and their effects in cardiometabolic diseasesSemantic proximity Read ↗

Genomic atlas of 7,000 plasma proteins and their associations with diseases and traits in East Asian populationsSemantic proximity Read ↗

Proteomic analysis of 92 circulating proteins and their effects in cardiometabolic diseasesSemantic proximity Read ↗

Genetic associations of circulating plasma proteins with cardiometabolic diseases.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.