ArticleFrontiers in genetics2024
Race, ethnicity, ancestry, and aspects that impact HLA data and matching for transplant.
Article in Frontiers in genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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
11 citing papers in PubMed.
- Classical HLA allele and haplotype frequency estimates in US populations.Human immunology · 2026Article
- Article
- Clozapine-induced Myocarditis in Korea: Analysis of a Nationwide Database and Comparison to Other Countries.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2026Article
- Barriers and facilitators to, and knowledge of, cord blood banking among pregnant Hispanic women at a university obstetric clinic.Transfusion · 2026Article
- Classical HLA Allele and Haplotype Frequency Estimates in US Populations.bioRxiv : the preprint server for biology · 2026Article
- Landscapes of HLA Mismatching in Contemporary Unrelated Haematopoietic Cell Transplantation.HLA · 2026Article
- Characteristics and outcomes of Bahraini pediatric patients sent abroad for bone marrow transplantation: A ten-year retrospective cohort study.World journal of transplantation · 2025Article
- Article
- Article
- Advancing kidney transplantation in black patients: a genetics-based and personalized approach under NICE, KDIGO, and ERBP guidelines.Renal failure · 2024Review
- Quantifying uncertainty of molecular mismatch introduced by mislabeled ancestry using haplotype-based HLA genotype imputation.Frontiers in genetics · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Race, ethnicity, and ancestry are terms that are often misinterpreted and/or used interchangeably. There is lack of consensus in the scientific literature on the definition of these terms and insufficient guidelines on the proper classification, collection, and application of this data in the scientific community. However, defining groups for human populations is crucial for multiple healthcare applications and clinical research. Some examples impacted by population classification include HLA matching for stem-cell or solid organ transplant, identifying disease associations and/or adverse drug reactions, defining social determinants of health, understanding diverse representation in research studies, and identifying potential biases. This article describes aspects of race, ethnicity and ancestry information that impact the stem-cell or solid organ transplantation field with particular focus on HLA data collected from donors and recipients by donor registries or transplant centers.
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