Missing data imputation and haplotype phase inference for genome-wide association studies |
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Authors: | Sharon R Browning |
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Institution: | (1) Department of Statistics, The University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand |
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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. |
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Keywords: | |
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