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rdf:type |
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lifeskim:mentions |
umls-concept:C0025663,
umls-concept:C0033204,
umls-concept:C0220825,
umls-concept:C1257890,
umls-concept:C1280500,
umls-concept:C1510816,
umls-concept:C1516050,
umls-concept:C1527178,
umls-concept:C1705938,
umls-concept:C1880022,
umls-concept:C2745888
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pubmed:dateCreated |
2005-11-21
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pubmed:abstractText |
Detection and evaluation of population stratification are crucial issues in the conduct of genetic association studies. Statistical approaches useful for understanding these issues have been proposed; these methods rely on information gained from genotyping sets of markers that reflect population ancestry. Before using these methods, a set of markers informative for differentiating population genetic substructure (PGS) is necessary. We have previously evaluated the performance of a Bayesian clustering method implemented in the software STRUCTURE in detecting PGS with a particular informative marker set. In this study, we implemented a likelihood based method (LBM) in evaluating the informativeness of the same selected marker panel, with respect to assessing potential for stratification in samples of European Americans (EAs) and African Americans (AAs), that are known to be admixed. LBM calculates the probability of a set of genotypes based on observations in a reference population with known specific allele frequencies for each marker, assuming Hardy Weinberg equilibrium (HWE) for each marker and linkage equilibrium among markers.
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pubmed:grant |
http://linkedlifedata.com/resource/pubmed/grant/AA03510,
http://linkedlifedata.com/resource/pubmed/grant/AA11330,
http://linkedlifedata.com/resource/pubmed/grant/AA12870,
http://linkedlifedata.com/resource/pubmed/grant/AA13736,
http://linkedlifedata.com/resource/pubmed/grant/DA12468,
http://linkedlifedata.com/resource/pubmed/grant/DA12690,
http://linkedlifedata.com/resource/pubmed/grant/DA12849,
http://linkedlifedata.com/resource/pubmed/grant/GM59507,
http://linkedlifedata.com/resource/pubmed/grant/K02-MH01387,
http://linkedlifedata.com/resource/pubmed/grant/MH14276,
http://linkedlifedata.com/resource/pubmed/grant/RR06192
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-10581301,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-10827107,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-10835412,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-11119293,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-11170894,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-11315092,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-11479834,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-11590548,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-11788964,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-11793709,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-11793763,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-12407212,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-12508255,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-12817591,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-12914577,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-12930761,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-14631557,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-15088269,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-15088270,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-15475402,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-15712363,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-15782414,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-7663752,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-9256459,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-9409849,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16225681-9837836
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:chemical |
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pubmed:status |
MEDLINE
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pubmed:issn |
1471-2156
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
6
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
50
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pubmed:dateRevised |
2009-11-19
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pubmed:meshHeading |
pubmed-meshheading:16225681-African Americans,
pubmed-meshheading:16225681-Bayes Theorem,
pubmed-meshheading:16225681-European Continental Ancestry Group,
pubmed-meshheading:16225681-Gene Frequency,
pubmed-meshheading:16225681-Genetic Markers,
pubmed-meshheading:16225681-Genotype,
pubmed-meshheading:16225681-Humans,
pubmed-meshheading:16225681-Likelihood Functions,
pubmed-meshheading:16225681-Molecular Epidemiology,
pubmed-meshheading:16225681-Probability,
pubmed-meshheading:16225681-United States
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pubmed:year |
2005
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pubmed:articleTitle |
Characterization of a likelihood based method and effects of markers informativeness in evaluation of admixture and population group assignment.
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pubmed:affiliation |
Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA. bao-zhu.yang@yale.edu
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, Non-P.H.S.,
Research Support, N.I.H., Extramural
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