| Literature DB >> 26368830 |
Jie Huang1, Bryan Howie2, Shane McCarthy1, Yasin Memari1, Klaudia Walter1, Josine L Min3, Petr Danecek1, Giovanni Malerba4, Elisabetta Trabetti4, Hou-Feng Zheng5,6,7, Giovanni Gambaro8, J Brent Richards5,6,7,9, Richard Durbin1, Nicholas J Timpson3, Jonathan Marchini10,11, Nicole Soranzo1,12.
Abstract
Imputing genotypes from reference panels created by whole-genome sequencing (WGS) provides a cost-effective strategy for augmenting the single-nucleotide polymorphism (SNP) content of genome-wide arrays. The UK10K Cohorts project has generated a data set of 3,781 whole genomes sequenced at low depth (average 7x), aiming to exhaustively characterize genetic variation down to 0.1% minor allele frequency in the British population. Here we demonstrate the value of this resource for improving imputation accuracy at rare and low-frequency variants in both a UK and an Italian population. We show that large increases in imputation accuracy can be achieved by re-phasing WGS reference panels after initial genotype calling. We also present a method for combining WGS panels to improve variant coverage and downstream imputation accuracy, which we illustrate by integrating 7,562 WGS haplotypes from the UK10K project with 2,184 haplotypes from the 1000 Genomes Project. Finally, we introduce a novel approximation that maintains speed without sacrificing imputation accuracy for rare variants.Entities:
Mesh:
Year: 2015 PMID: 26368830 PMCID: PMC4579394 DOI: 10.1038/ncomms9111
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 14.919