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通过推断对英国人群生物资源进行高分辨率HLA单倍型分型。

High resolution HLA haplotyping by imputation for a British population bioresource.

作者信息

Neville Matt J, Lee Wanseon, Humburg Peter, Wong Daniel, Barnardo Martin, Karpe Fredrik, Knight Julian C

机构信息

Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Old Road, Oxford OX3 7LJ, UK; Oxford NIHR Biomedical Research Centre, Churchill Hospital, Oxford, UK.

Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK.

出版信息

Hum Immunol. 2017 Mar;78(3):242-251. doi: 10.1016/j.humimm.2017.01.006. Epub 2017 Jan 19.

Abstract

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.

摘要

本研究旨在确定牛津郡健康英国白种人群生物样本库中HLA等位基因和单倍型的出现情况及频率。我们展示了使用SNP2HLA对来自牛津生物银行的5553名个体的HLA SNP基因分型数据进行插补的结果,同时定义了单字段和双字段等位基因以及氨基酸多态性。我们表明,通过序列特异性引物扩增PCR进行验证,这实现了较高的准确性。我们使用PHASE实施的贝叶斯方法为该人群定义了六位点和八位点HLA单倍型。我们确定了这些个体中涉及经典HLA位点的连锁不平衡和重组模式,并展示了在单倍型块结构内进行分析如何可能更便于处理插补数据。我们的研究结果有助于了解健康人群中的HLA多样性,并进一步验证未来在人群生物样本库中大规模使用HLA插补作为一种信息丰富的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/598f/5367449/30e5abdb7a0c/gr1.jpg

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