插补(统计学)
基因分型
全基因组关联研究
基因型
生物
遗传关联
计算生物学
基因组学
遗传学
基因组
计算机科学
单核苷酸多态性
缺少数据
基因
机器学习
作者
Yun Li,Cristen J. Willer,Serena Sanna,Gonçalo R. Abecasis
出处
期刊:Annual Review of Genomics and Human Genetics
[Annual Reviews]
日期:2009-09-01
卷期号:10 (1): 387-406
被引量:910
标识
DOI:10.1146/annurev.genom.9.081307.164242
摘要
Genotype imputation is now an essential tool in the analysis of genome-wide association scans. This technique allows geneticists to accurately evaluate the evidence for association at genetic markers that are not directly genotyped. Genotype imputation is particularly useful for combining results across studies that rely on different genotyping platforms but also increases the power of individual scans. Here, we review the history and theoretical underpinnings of the technique. To illustrate performance of the approach, we summarize results from several gene mapping studies. Finally, we preview the role of genotype imputation in an era when whole genome resequencing is becoming increasingly common.
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