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全表型扫描识别出与HLA变异相关的多种疾病及疾病严重程度表型。

Phenome-wide scanning identifies multiple diseases and disease severity phenotypes associated with HLA variants.

作者信息

Karnes Jason H, Bastarache Lisa, Shaffer Christian M, Gaudieri Silvana, Xu Yaomin, Glazer Andrew M, Mosley Jonathan D, Zhao Shilin, Raychaudhuri Soumya, Mallal Simon, Ye Zhan, Mayer John G, Brilliant Murray H, Hebbring Scott J, Roden Dan M, Phillips Elizabeth J, Denny Joshua C

机构信息

Department of Pharmacy Practice and Science, University of Arizona College of Pharmacy, Tucson, AZ 85721, USA.

Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.

出版信息

Sci Transl Med. 2017 May 10;9(389). doi: 10.1126/scitranslmed.aai8708.

Abstract

Although many phenotypes have been associated with variants in human leukocyte antigen (HLA) genes, the full phenotypic impact of HLA variants across all diseases is unknown. We imputed HLA genomic variation from two populations of 28,839 and 8431 European ancestry individuals and tested association of HLA variation with 1368 phenotypes. A total of 104 four-digit and 92 two-digit HLA allele phenotype associations were significant in both discovery and replication cohorts, the strongest being and type 1 diabetes. Four previously unidentified associations were identified across the spectrum of disease with two- and four-digit HLA alleles and 10 with nonsynonymous variants. Some conditions associated with multiple HLA variants and stronger associations with more severe disease manifestations were identified. A comprehensive, publicly available catalog of clinical phenotypes associated with HLA variation is provided. Examining HLA variant disease associations in this large data set allows comprehensive definition of disease associations to drive further mechanistic insights.

摘要

尽管许多表型已与人类白细胞抗原(HLA)基因变异相关联,但HLA变异在所有疾病中的完整表型影响尚不清楚。我们从两个分别有28839名和8431名欧洲血统个体的群体中推断出HLA基因组变异,并测试了HLA变异与1368种表型的关联。在发现和复制队列中,共有104个四位数字和92个两位数字的HLA等位基因表型关联是显著的,最强的关联是与1型糖尿病。在疾病谱中发现了4个先前未识别的与两位和四位数字HLA等位基因的关联以及10个与非同义变异的关联。确定了一些与多种HLA变异相关的疾病以及与更严重疾病表现的更强关联。提供了一个全面的、可公开获取的与HLA变异相关的临床表型目录。在这个大数据集中检查HLA变异与疾病的关联有助于全面定义疾病关联,从而推动进一步的机制性见解。

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