Identity-by-Descent-Based Phasing and Imputation in Founder Populations Using Graphical Models

Kimmo Palin,H. Campbell,A. Wright,James F. Wilson,R. Durbin

Published 2011 in Genetic Epidemiology

ABSTRACT

Accurate knowledge of haplotypes, the combination of alleles co‐residing on a single copy of a chromosome, enables powerful gene mapping and sequence imputation methods. Since humans are diploid, haplotypes must be derived from genotypes by a phasing process. In this study, we present a new computational model for haplotype phasing based on pairwise sharing of haplotypes inferred to be Identical‐By‐Descent (IBD). We apply the Bayesian network based model in a new phasing algorithm, called systematic long‐range phasing (SLRP), that can capitalize on the close genetic relationships in isolated founder populations, and show with simulated and real genome‐wide genotype data that SLRP substantially reduces the rate of phasing errors compared to previous phasing algorithms. Furthermore, the method accurately identifies regions of IBD, enabling linkage‐like studies without pedigrees, and can be used to impute most genotypes with very low error rate. Genet. Epidemiol. 2011.  © 2011 Wiley Periodicals, Inc.35:853‐860, 2011

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