ArticlePloS one2015
Race, Ethnicity and Ancestry in Unrelated Transplant Matching for the National Marrow Donor Program: A Comparison of Multiple Forms of Self-Identification with Genetics.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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.
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.
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Who cites it
23 citing papers in PubMed.
- Barriers and facilitators to, and knowledge of, cord blood banking among pregnant Hispanic women at a university obstetric clinic.Transfusion · 2026Article
- Human leukocyte antigen variation is associated with cytomegalovirus serostatus in healthy individuals.American journal of human genetics · 2025Article
- Precision medicine results from equitable representation.Bone marrow transplantation · 2025Article
- Multiple measures for self-identification improve matching donors with patients in unrelated hematopoietic stem cell transplant.Communications medicine · 2024Article
- Race, ethnicity, ancestry, and aspects that impact HLA data and matching for transplant.Frontiers in genetics · 2024Article
- Quantifying uncertainty of molecular mismatch introduced by mislabeled ancestry using haplotype-based HLA genotype imputation.Frontiers in genetics · 2024Article
- Population diversity and equity in the genomic era: going global to return to the local.Journal of community genetics · 2023Review
- Inaccuracies in assignment of patient race and ethnicity: implications for unrelated donor searches and health care delivery.Blood advances · 2023Article
- Review
- HLA diversity in ethnic populations can affect detection of donor-specific antibodies by single antigen beads.Frontiers in immunology · 2023Article
- An HLA map of the world: A comparison of HLA frequencies in 200 worldwide populations reveals diverse patterns for class I and class II.Frontiers in genetics · 2023Article
- Race and Survival in Unrelated Hematopoietic Cell Transplantation.Transplantation and cellular therapy · 2022Article
- Racial disparities in hematopoietic stem cell transplant: a systematic review of the literature.Stem cell investigation · 2021Review
- The Impact of African Ancestry on Prostate Cancer Disparities in the Era of Precision Medicine.Genes · 2020Review
- Common, intermediate and well-documented HLA alleles in world populations: CIWD version 3.0.0.HLA · 2020Article
- How Ancestry Influences the Chances of Finding Unrelated Donors: An Investigation in Admixed Brazilians.Frontiers in immunology · 2020Article
- Estimation of German KIR Allele Group Haplotype Frequencies.Frontiers in immunology · 2020Article
- Single haplotype admixture models using large scale HLA genotype frequencies to reproduce human admixture.Immunogenetics · 2019Article
- Consumer (dis-)interest in Genetic Ancestry Testing: The roles of race, immigration, and ancestral certainty.New genetics and society · 2019Article
- The distribution of HLA haplotypes in the ethnic groups that make up the Brazilian Bone Marrow Volunteer Donor Registry (REDOME).Immunogenetics · 2018Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We conducted a nationwide study comparing self-identification to genetic ancestry classifications in a large cohort (n = 1752) from the National Marrow Donor Program. We sought to determine how various measures of self-identification intersect with genetic ancestry, with the aim of improving matching algorithms for unrelated bone marrow transplant. Multiple dimensions of self-identification, including race/ethnicity and geographic ancestry were compared to classifications based on ancestry informative markers (AIMs), and the human leukocyte antigen (HLA) genes, which are required for transplant matching. Nearly 20% of responses were inconsistent between reporting race/ethnicity versus geographic ancestry. Despite strong concordance between AIMs and HLA, no measure of self-identification shows complete correspondence with genetic ancestry. In certain cases geographic ancestry reporting matches genetic ancestry not reflected in race/ethnicity identification, but in other cases geographic ancestries show little correspondence to genetic measures, with important differences by gender. However, when respondents assign ancestry to grandparents, we observe sub-groups of individuals with well- defined genetic ancestries, including important differences in HLA frequencies, with implications for transplant matching. While we advocate for tailored questioning to improve accuracy of ancestry ascertainment, collection of donor grandparents' information will improve the chances of finding matches for many patients, particularly for mixed-ancestry individuals.
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