ArticleClinical proteomics2023
Proteomic analysis of 92 circulating proteins and their effects in cardiometabolic diseases.
Article in Clinical proteomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Multi-ancestry genome-wide association analyses provide insights into the genetic basis of Hashimoto's thyroiditis.Nature genetics · 2026Pooled it
- Identification of Plasma Protein Biomarkers for Early-Onset Stroke through Mendelian Randomization.medRxiv : the preprint server for health sciences · 2026Article
- Multi-cohort proteogenomic analyses reveal genetic effects across the proteome and diseasome.Cell · 2026Article
- Multi-omics insights into uric acid metabolism in cardiometabolic disease: from genetics to metabolomics.Biomedical journal · 2026Review
- A genome-wide association study of mass spectrometry proteomics using a nanoparticle enrichment platform.Nature genetics · 2025Article
- Thrombosis in Brothers With Protein S Deficiency: Case Series.Clinical case reports · 2025Article
- Investigating potential drug targets for the treatment of glioblastoma: a Mendelian randomization study.BMC cancer · 2025Article
Corrections and comments
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Authors and funding
32 authors at 15 institutions in 8 countries.
Funding
Abstract
backgroundHuman plasma contains a wide variety of circulating proteins. These proteins can be important clinical biomarkers in disease and also possible drug targets. Large scale genomics studies of circulating proteins can identify genetic variants that lead to relative protein abundance.
methodsWe conducted a meta-analysis on genome-wide association studies of autosomal chromosomes in 22,997 individuals of primarily European ancestry across 12 cohorts to identify protein quantitative trait loci (pQTL) for 92 cardiometabolic associated plasma proteins.
resultsWe identified 503 (337 cis and 166 trans) conditionally independent pQTLs, including several novel variants not reported in the literature. We conducted a sex-stratified analysis and found that 118 (23.5%) of pQTLs demonstrated heterogeneity between sexes. The direction of effect was preserved but there were differences in effect size and significance. Additionally, we annotate trans-pQTLs with nearest genes and report plausible biological relationships. Using Mendelian randomization, we identified causal associations for 18 proteins across 19 phenotypes, of which 10 have additional genetic colocalization evidence. We highlight proteins associated with a constellation of cardiometabolic traits including angiopoietin-related protein 7 (ANGPTL7) and Semaphorin 3F (SEMA3F).
conclusionThrough large-scale analysis of protein quantitative trait loci, we provide a comprehensive overview of common variants associated with plasma proteins. We highlight possible biological relationships which may serve as a basis for further investigation into possible causal roles in cardiometabolic diseases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.