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A linear complexity phasing method for thousands of genomes
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Journal Article
A linear complexity phasing method for thousands of genomes
2012
Overview
An efficient haplotype-estimation algorithm that features linear complexity allows the rapid and accurate phasing of diploid genomes from trios, duos and unrelated samples.
Human-disease etiology can be better understood with phase information about diploid sequences. We present a method for estimating haplotypes, using genotype data from unrelated samples or small nuclear families, that leads to improved accuracy and speed compared to several widely used methods. The method, segmented haplotype estimation and imputation tool (SHAPEIT), scales linearly with the number of haplotypes used in each iteration and can be run efficiently on whole chromosomes.
Publisher
Nature Publishing Group US,Nature Publishing Group
Subject
