Abstract

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.

Keywords

Imputation (statistics)GenotypingGenome-wide association studyGenotypeBiologyGenetic associationComputational biologyGenomicsGenomeGeneticsComputer scienceSingle-nucleotide polymorphismMissing dataGeneMachine learning

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Publication Info

Year
2009
Type
review
Volume
10
Issue
1
Pages
387-406
Citations
987
Access
Closed

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Yun Li, Cristen J. Willer, Serena Sanna et al. (2009). Genotype Imputation. Annual Review of Genomics and Human Genetics , 10 (1) , 387-406. https://doi.org/10.1146/annurev.genom.9.081307.164242

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DOI
10.1146/annurev.genom.9.081307.164242