Current software for genotype imputation

<p>Abstract</p> <p>Genotype imputation for single nucleotide polymorphisms (SNPs) has been shown to be a powerful means to include genetic markers in exploratory genetic association studies without having to genotype them, and is becoming a standard procedure. A number of different...

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Main Authors: Ellinghaus David, Schreiber Stefan, Franke Andre, Nothnagel Michael
Format: Article
Language:English
Published: BMC 2009-07-01
Series:Human Genomics
Subjects:
Online Access:http://www.humgenomics.com/content/3/4/371
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spelling doaj-f35fff4c6c33416395a2e818965c71f62020-11-24T20:41:59ZengBMCHuman Genomics1479-73642009-07-013437138010.1186/1479-7364-3-4-371Current software for genotype imputationEllinghaus DavidSchreiber StefanFranke AndreNothnagel Michael<p>Abstract</p> <p>Genotype imputation for single nucleotide polymorphisms (SNPs) has been shown to be a powerful means to include genetic markers in exploratory genetic association studies without having to genotype them, and is becoming a standard procedure. A number of different software programs are available. In our experience, user-friendliness is often the deciding factor in the choice of software to solve a particular task. We therefore evaluated the usability of three publicly available imputation programs: BEAGLE, IMPUTE and MACH. We found all three programs to perform well with HapMap reference data, with little effort needed for data preparation and subsequent association analysis. Each of them has different strengths and weaknesses, however, and none is optimal for all situations.</p> http://www.humgenomics.com/content/3/4/371genotype imputation softwaregenome-wide association studyHapMapsingle nucleotide polymorphism
collection DOAJ
language English
format Article
sources DOAJ
author Ellinghaus David
Schreiber Stefan
Franke Andre
Nothnagel Michael
spellingShingle Ellinghaus David
Schreiber Stefan
Franke Andre
Nothnagel Michael
Current software for genotype imputation
Human Genomics
genotype imputation software
genome-wide association study
HapMap
single nucleotide polymorphism
author_facet Ellinghaus David
Schreiber Stefan
Franke Andre
Nothnagel Michael
author_sort Ellinghaus David
title Current software for genotype imputation
title_short Current software for genotype imputation
title_full Current software for genotype imputation
title_fullStr Current software for genotype imputation
title_full_unstemmed Current software for genotype imputation
title_sort current software for genotype imputation
publisher BMC
series Human Genomics
issn 1479-7364
publishDate 2009-07-01
description <p>Abstract</p> <p>Genotype imputation for single nucleotide polymorphisms (SNPs) has been shown to be a powerful means to include genetic markers in exploratory genetic association studies without having to genotype them, and is becoming a standard procedure. A number of different software programs are available. In our experience, user-friendliness is often the deciding factor in the choice of software to solve a particular task. We therefore evaluated the usability of three publicly available imputation programs: BEAGLE, IMPUTE and MACH. We found all three programs to perform well with HapMap reference data, with little effort needed for data preparation and subsequent association analysis. Each of them has different strengths and weaknesses, however, and none is optimal for all situations.</p>
topic genotype imputation software
genome-wide association study
HapMap
single nucleotide polymorphism
url http://www.humgenomics.com/content/3/4/371
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