Disparities in ABO Blood Type Determination Across Diverse Ancestries: A Systematic Review and Validation in the All of Us Research Program
Martinez, K. L.; Klein, A.; Martin, J. R.; Sampson, C. U.; Giles, J. B.; Beck, M. L.; Bhakta, K.; Quatraro, G.; Farol, J.; Karnes, J. H.
Show abstract
BackgroundABO blood types have widespread clinical use and robust associations with cardiovascular disease. Many studies determine ABO blood types using tag single nucleotide polymorphisms (tSNPs) to characterize functional variation. However, tSNPs with low linkage disequilibrium (LD) may promote misinference of ABO blood types, particularly in diverse populations. MethodsBibliographic databases were searched for studies (2005-2022) using tSNPs to determine ABO alleles in accordance with PRISMA 2020 guidelines. We calculated linkage between tSNPs and functional variants across inferred continental ancestry groups from 1000 Genomes (AFR, AMR, EAS, EUR). We compared r2 across ancestry and assessed real-world consequences by comparing tSNP-derived blood types to serology in a large, diverse population from the All of Us Research Program (AoURP). ResultsWe observe a lack of phasing and frequent use of inappropriate tSNPs in blood type determination, particularly for O alleles. Linkage between functional variants and O allele tSNPs was significantly lower in African (median r2=0.443) compared to East Asian (r2=0.946, p=1.1x10-5) and European (r2=0.869, p=0.023). In AoURP, discordance between tSNP-derived blood types and serology was high across all SNPs in African ancestry individuals and linkage was strongly correlated with discordance across all ancestries ({rho}=-0.90, p=3.08x10-23). ConclusionWe observe common use of inappropriate tSNPs to determine ABO blood type, particularly for O alleles and with some tSNPs mistyping up to 58% of individuals. Our results highlight the lack of transferability of tSNPs across ancestries and potential exacerbation of disparities in genomic research for underrepresented populations.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Evaluating Genomic Polygenic Risk Scores for Childhood Acute Lymphoblastic Leukemia in Latinos 95%
- Inclusion of Variants Discovered from Diverse Populations Improves Polygenic Risk Score Transferability 94%
- Multivariate adaptive shrinkage improves cross-population transcriptome prediction for transcriptome-wide association studies in underrepresented populations 93%
Similar papers in this journal
- Widespread recessive effects on common diseases in a cohort of 44,000 British Pakistanis and Bangladeshis with high autozygosity 94%
- Summix: A method for detecting and adjusting for population structure in genetic summary data 94%
- Characterization of exome variants and their metabolic impact in 6,716 American Indians from Southwest US 94%
Similar papers in this journal
- An expanded analysis framework for multivariate GWAS connects inflammatory biomarkers to functional variants and disease 93%
- SweHLA: the high confidence HLA typing bio-resource drawn from 1 000 Swedish genomes 93%
- Genome-wide association study reveals the unique genetic structure of active blood donors 92%
Similar papers in this journal
- Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severity 91%
- Whole genome sequencing of orofacial cleft trios from the Gabriella Miller Kids First Pediatric Research Consortium identifies a new locus on chromosome 21 91%
- Multi-omics highlights ABO plasma protein as a causal risk factor for COVID-19 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.