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Hum Genet. 2008 Dec;124(5):439-50. doi: 10.1007/s00439-008-0568-7. Epub 2008 Oct 11.

Missing data imputation and haplotype phase inference for genome-wide association studies.

Author information

1
Department of Statistics, The University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand. s.browning@auckland.ac.nz

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.

PMID:
18850115
PMCID:
PMC2731769
DOI:
10.1007/s00439-008-0568-7
[Indexed for MEDLINE]
Free PMC Article

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