| Literature DB >> 27571263 |
Sayantan Das1, Lukas Forer2, Sebastian Schönherr2, Carlo Sidore1,3,4, Adam E Locke1, Alan Kwong1, Scott I Vrieze5, Emily Y Chew6, Shawn Levy7, Matt McGue8, David Schlessinger9, Dwight Stambolian10, Po-Ru Loh11,12, William G Iacono8, Anand Swaroop13, Laura J Scott1, Francesco Cucca3,4, Florian Kronenberg2, Michael Boehnke1, Gonçalo R Abecasis1, Christian Fuchsberger1,2,14.
Abstract
Genotype imputation is a key component of genetic association studies, where it increases power, facilitates meta-analysis, and aids interpretation of signals. Genotype imputation is computationally demanding and, with current tools, typically requires access to a high-performance computing cluster and to a reference panel of sequenced genomes. Here we describe improvements to imputation machinery that reduce computational requirements by more than an order of magnitude with no loss of accuracy in comparison to standard imputation tools. We also describe a new web-based service for imputation that facilitates access to new reference panels and greatly improves user experience and productivity.Entities:
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Year: 2016 PMID: 27571263 PMCID: PMC5157836 DOI: 10.1038/ng.3656
Source DB: PubMed Journal: Nat Genet ISSN: 1061-4036 Impact factor: 38.330