Department of Statistics, University of Oxford, Oxford, UK.
Nat Rev Genet. 2010 Jul;11(7):499-511. doi: 10.1038/nrg2796.
In the past few years genome-wide association (GWA) studies have uncovered a large number of convincingly replicated associations for many complex human diseases. Genotype imputation has been used widely in the analysis of GWA studies to boost power, fine-map associations and facilitate the combination of results across studies using meta-analysis. This Review describes the details of several different statistical methods for imputing genotypes, illustrates and discusses the factors that influence imputation performance, and reviews methods that can be used to assess imputation performance and test association at imputed SNPs.
在过去的几年中,全基因组关联 (GWA) 研究已经发现了大量令人信服的复制关联,涉及许多复杂的人类疾病。在 GWA 研究的分析中,基因型推断被广泛用于提高效能、精细映射关联,并通过荟萃分析促进研究结果的结合。本综述描述了几种不同的统计方法来推断基因型的细节,说明了并讨论了影响推断性能的因素,并回顾了可用于评估推断性能和检验推断 SNP 关联的方法。