Linked Life Data

19706367

Source:http://linkedlifedata.com/resource/pubmed/id/19706367

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2009-8-26
pubmed:abstractText
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.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1479-7364
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
3
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
371-80
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Current software for genotype imputation.
pubmed:affiliation
Institute of Clinical Molecular Biology, Christian-Albrechts University, Kiel, Germany. d.ellinghaus@ikmb.uni-kiel.de
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't