生物
单核苷酸多态性
人类白细胞抗原
插补(统计学)
基因分型
基因
遗传学
全基因组关联研究
人口
计算生物学
基因型
抗原
医学
环境卫生
机器学习
计算机科学
缺少数据
作者
Jarmo Ritari,Kati Hyvärinen,Jukka Partanen,Satu Koskela
出处
期刊:PeerJ
[PeerJ]
日期:2022-01-07
卷期号:10: e12692-e12692
被引量:3
摘要
The killer cell immunoglobulin-like receptor (KIR) gene cluster on chromosome 19 encodes cell surface glycoproteins that bind class I human leukocyte antigen (HLA) molecules as well as some other ligands. Through regulation of natural killer (NK) cell activity KIRs participate in tumour surveillance and clearing viral infections. KIR gene gene copy number variation associates with the outcome of transplantations and susceptibility to immune-mediated diseases. Inferring KIR gene content from genetic variant data is therefore desirable for immunogenetic analysis, particularly in the context of growing biobank genome data collections that rely on genotyping by microarray. Here we describe a stand-alone and freely available gene content imputation for 12 KIR genes. The models were trained using 807 Finnish biobank samples genotyped for 5900 KIR-region SNPs and analysed for KIR gene content with targeted sequencing. Cross-validation results demonstrate a high mean overall accuracy of 98.5% (95% CI [97.0-99.2]%) which compares favourably with previous methods including short-read sequencing based approaches.
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