Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Optimal population-specific HLA imputation with dimension reduction.

HLA - 1 Jan 2024

Douillard Venceslas, Dos Santos Brito Silva Nayane, Bourguiba-Hachemi Sonia, Naslavsky Michel S, Scliar Marilia O, Duarte Yeda A O, Zatz Mayana, Passos-Bueno Maria Rita, Limou Sophie, Gourraud Pierre-Antoine, Launay Élise, Castelli Erick C, Vince Nicolas

Abstract excerpt

Human genomics has quickly evolved, powering genome-wide association studies (GWASs). SNP-based GWASs cannot capture the intense polymorphism of HLA genes, highly associated with disease susceptibility. There are methods to statistically impute HLA genotypes from SNP-genotypes data, but lack of diversity in reference panels hinders their performance. We evaluated the accuracy of the 1000 Genomes data as a...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Genome-Wide Association Study
Share to Alleles

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetics, Population

Share to Genotype

Share to HLA-B Antigens

Share to Polymorphism, Single Nucleotide

Source

Identifiers

PMID: 37950640
DOI: 10.1111/tan.15282

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Optimal population-specific HLA imputation with dimension reduction.PMID 37950640Read ↗

Optimal HLA imputation of admixed population with dimension reductionSemantic proximity Read ↗

A statistical genetics guide to identifying HLA alleles driving complex diseaseSemantic proximity Read ↗

Accurate multi-population imputation of MICA, MICB, HLA-E, HLA-F and HLA-G alleles from genome SNP data.Semantic proximity Read ↗

Accurate multi-population imputation of MICA, MICB, HLA-E, HLA-F and HLA-G alleles from genome SNP dataSemantic proximity Read ↗

Tutorial: a statistical genetics guide to identifying HLA alleles driving complex disease.Semantic proximity Read ↗

Significant variation between SNP-based HLA imputations in diverse populations: the last mile is the hardest.Semantic proximity Read ↗

18th International HLA and Immunogenetics Workshop: Report on the SNP-HLA Reference Consortium (SHLARC) component.Semantic proximity Read ↗

Practical Use of Methods for Imputation of HLA Alleles from SNP Genotype DataSemantic proximity Read ↗

Multi-population classical HLA type imputation.Semantic proximity Read ↗

SNP-HLA Reference Consortium (SHLARC): HLA and SNP data sharing for promoting MHC-centric analyses in genomics.Semantic proximity Read ↗

Imputation Disparities Driven by Recent Selection and Their Impact on Disease Risk Estimation in East and Southeast Asian PopulationsSemantic proximity Read ↗

A multi-ethnic reference panel to impute HLA classical and non-classical class I alleles in admixed samples: Testing imputation accuracy in an admixed sample from Brazil.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.