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High resolution HLA haplotyping by imputation for a British population bioresource
This study aimed to establish the occurrence and frequency of HLA alleles and haplotypes for a healthy British Caucasian population bioresource from Oxfordshire. We present the results of imputation from HLA SNP genotyping data using SNP2HLA for 5553 individuals from Oxford Biobank, defining one- an...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier/North-Holland
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5367449/ https://www.ncbi.nlm.nih.gov/pubmed/28111166 http://dx.doi.org/10.1016/j.humimm.2017.01.006 |
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author | Neville, Matt J. Lee, Wanseon Humburg, Peter Wong, Daniel Barnardo, Martin Karpe, Fredrik Knight, Julian C. |
author_facet | Neville, Matt J. Lee, Wanseon Humburg, Peter Wong, Daniel Barnardo, Martin Karpe, Fredrik Knight, Julian C. |
author_sort | Neville, Matt J. |
collection | PubMed |
description | This study aimed to establish the occurrence and frequency of HLA alleles and haplotypes for a healthy British Caucasian population bioresource from Oxfordshire. We present the results of imputation from HLA SNP genotyping data using SNP2HLA for 5553 individuals from Oxford Biobank, defining one- and two-field alleles together with amino acid polymorphisms. We show that this achieves a high level of accuracy with validation using sequence-specific primer amplification PCR. We define six- and eight-locus HLA haplotypes for this population by Bayesian methods implemented using PHASE. We determine patterns of linkage disequilibrium and recombination for these individuals involving classical HLA loci and show how analysis within a haplotype block structure may be more tractable for imputed data. Our findings contribute to knowledge of HLA diversity in healthy populations and further validate future large-scale use of HLA imputation as an informative approach in population bioresources. |
format | Online Article Text |
id | pubmed-5367449 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier/North-Holland |
record_format | MEDLINE/PubMed |
spelling | pubmed-53674492017-04-03 High resolution HLA haplotyping by imputation for a British population bioresource Neville, Matt J. Lee, Wanseon Humburg, Peter Wong, Daniel Barnardo, Martin Karpe, Fredrik Knight, Julian C. Hum Immunol Article This study aimed to establish the occurrence and frequency of HLA alleles and haplotypes for a healthy British Caucasian population bioresource from Oxfordshire. We present the results of imputation from HLA SNP genotyping data using SNP2HLA for 5553 individuals from Oxford Biobank, defining one- and two-field alleles together with amino acid polymorphisms. We show that this achieves a high level of accuracy with validation using sequence-specific primer amplification PCR. We define six- and eight-locus HLA haplotypes for this population by Bayesian methods implemented using PHASE. We determine patterns of linkage disequilibrium and recombination for these individuals involving classical HLA loci and show how analysis within a haplotype block structure may be more tractable for imputed data. Our findings contribute to knowledge of HLA diversity in healthy populations and further validate future large-scale use of HLA imputation as an informative approach in population bioresources. Elsevier/North-Holland 2017-03 /pmc/articles/PMC5367449/ /pubmed/28111166 http://dx.doi.org/10.1016/j.humimm.2017.01.006 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Neville, Matt J. Lee, Wanseon Humburg, Peter Wong, Daniel Barnardo, Martin Karpe, Fredrik Knight, Julian C. High resolution HLA haplotyping by imputation for a British population bioresource |
title | High resolution HLA haplotyping by imputation for a British population bioresource |
title_full | High resolution HLA haplotyping by imputation for a British population bioresource |
title_fullStr | High resolution HLA haplotyping by imputation for a British population bioresource |
title_full_unstemmed | High resolution HLA haplotyping by imputation for a British population bioresource |
title_short | High resolution HLA haplotyping by imputation for a British population bioresource |
title_sort | high resolution hla haplotyping by imputation for a british population bioresource |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5367449/ https://www.ncbi.nlm.nih.gov/pubmed/28111166 http://dx.doi.org/10.1016/j.humimm.2017.01.006 |
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