ArticleNature genetics2026
Linking the plasma proteome to genetics in individuals from continental Africa provides insights into type 2 diabetes pathogenesis.
Article in Nature genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- KidneyGenAfrica multi-cohort Genome-wide association study and polygenic prediction of kidney function in 110,000 Africans.Nature communications · 2026Pooled it
- Plasma proteomics analysis of vitamin C supplementation in people with type 2 diabetes.Nutrition & diabetes · 2026Trial
- Review
- Population proteomics for equitable precision medicine.EMBO molecular medicine · 2026Article
- Nanoparticle-enriched mass spectrometry proteomics in British South Asians identifies links between genetic variants, plasma protein levels and disease risk.Nature genetics · 2026Article
- From Human to Mouse and Back Again: Genetic and Genomic Ta(i)les of Islet Dysfunction in Type 2 Diabetes.Annual review of genetics · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Individuals of African ancestry remain largely underrepresented in genetic and proteomic studies. Here we measure the levels of 2,873 proteins in plasma samples from 163 individuals with type 2 diabetes (T2D) or prediabetes and 362 normoglycemic controls from the Ugandan population. We identify 88 differentially expressed proteins between the two groups. We link genome-wide data to protein expression levels and construct a protein quantitative trait locus (pQTL) map for this population. We identify 399 independent associations with 346 (86.7%) cis-pQTLs and 53 (13.3%) trans-pQTLs; 16.7% of the cis-pQTLs and all of the trans-pQTLs have not been previously reported in individuals of African ancestry. Of these, 37 pQTLs have not been previously reported in any population. We find evidence for colocalization between a pQTL and T2D genetic risk. Our findings reveal proteins causally implicated in the pathogenesis of T2D, which may be leveraged for personalized medicine tailored to individuals of African ancestry.
Indexed as
Identifiers
What OpenQuestion holds
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.