Missing data imputation and haplotype phase inference for genome-wide association studies
- 11 October 2008
- journal article
- research article
- Published by Springer Nature in Human Genetics
- Vol. 124 (5) , 439-450
Abstract
Imputation of missing data and the use of haplotype-based association tests can improve the power of genome-wide association studies (GWAS). In this article, I review methods for haplotype inference and missing data imputation, and discuss their application to GWAS. I discuss common features of the best algorithms for haplotype phase inference and missing data imputation in large-scale data sets, as well as some important differences between classes of methods, and highlight the methods that provide the highest accuracy and fastest computational performance.Keywords
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