| Literature DB >> 29799802 |
Sayantan Das1, Gonçalo R Abecasis1, Brian L Browning2.
Abstract
Genotype imputation has become a standard tool in genome-wide association studies because it enables researchers to inexpensively approximate whole-genome sequence data from genome-wide single-nucleotide polymorphism array data. Genotype imputation increases statistical power, facilitates fine mapping of causal variants, and plays a key role in meta-analyses of genome-wide association studies. Only variants that were previously observed in a reference panel of sequenced individuals can be imputed. However, the rapid increase in the number of deeply sequenced individuals will soon make it possible to assemble enormous reference panels that greatly increase the number of imputable variants. In this review, we present an overview of genotype imputation and describe the computational techniques that make it possible to impute genotypes from reference panels with millions of individuals.Keywords: GWAS; genome-wide association study; genotype imputation; imputation
Mesh:
Year: 2018 PMID: 29799802 DOI: 10.1146/annurev-genom-083117-021602
Source DB: PubMed Journal: Annu Rev Genomics Hum Genet ISSN: 1527-8204 Impact factor: 8.929