HLA imputation in an admixed population: An assessment of the 1000 Genomes data as a training set.

doi:10.1016/j.humimm.2015.11.004

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Article

HLA imputation in an admixed population: An assessment of the 1000 Genomes data as a training set.

Human immunology - 1 Mar 2016

Nunes Kelly, Zheng Xiuwen, Torres Margareth, Moraes Maria Elisa, Piovezan Bruno Z, Pontes Gerlandia N, Kimura Lilian, Carnavalli Juliana E P, Mingroni Netto Regina C, Meyer Diogo

Abstract excerpt

Methods to impute HLA alleles based on dense single nucleotide polymorphism (SNP) data provide a valuable resource to association studies and evolutionary investigation of the MHC region. The availability of appropriate training sets is critical to the accuracy of HLA imputation, and the inclusion of samples with various ancestries is an important pre-requisite in studies of admixed populations. We assess the...

Topics

Alleles
Brazil
Computational Biology
Databases, Genetic
Genetics, Population
Genome, Human
Genome-Wide Association Study
HLA Antigens
Humans
Polymorphism, Single Nucleotide
Reproducibility of Results
Software
Web Browser

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Identifiers

PMID: 26582005
DOI: 10.1016/j.humimm.2015.11.004
PMCID: PMC5609807

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