ArticleNature communications2024
The influence of HLA genetic variation on plasma protein expression.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Proteome-wide Mendelian randomization identifies APOM and TNXB as actionable mediators of steroid-sensitive nephrotic syndrome.Pediatric nephrology (Berlin, Germany) · 2026Article
- Proteogenomics in human populations.Nature reviews. Genetics · 2026Review
- Pre-diagnostic plasma proteomics profile uncovers new biomarkers and mechanistic insights for incident kidney cancer.International journal of surgery (London, England) · 2026Article
- Article
- The ExoGAN generative AI framework enables extracellular vesicle-based immunotherapy.Research square · 2025Article
- Integrated analysis of COVID-19 multi-omics data for eQTLs reveals genetic mechanisms underlying disease severity.bioRxiv : the preprint server for biology · 2025Article
- Germline variants and mosaic chromosomal alterations affect COVID-19 vaccine immunogenicity.Cell genomics · 2025Article
- Advances and challenges in neoantigen prediction for cancer immunotherapy.Frontiers in immunology · 2025Review
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Genetic variation in the human leukocyte antigen (HLA) loci is associated with risk of immune-mediated diseases, but the molecular effects of HLA polymorphism are unclear. Here we examined the effects of HLA genetic variation on the expression of 2940 plasma proteins across 45,330 Europeans in the UK Biobank, with replication analyses across multiple ancestry groups. We detected 504 proteins affected by HLA variants (HLA-pQTL), including widespread trans effects by autoimmune disease risk alleles. More than 80% of the HLA-pQTL fine-mapped to amino acid positions in the peptide binding groove. HLA-I and II affected proteins expressed in similar cell types but in different pathways of both adaptive and innate immunity. Finally, we investigated potential HLA-pQTL effects on disease by integrating HLA-pQTL with fine-mapped HLA-disease signals in the UK Biobank. Our data reveal the diverse effects of HLA genetic variation and aid the interpretation of associations between HLA alleles and immune-mediated diseases.
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