Source:http://linkedlifedata.com/resource/pubmed/id/16451713
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rdf:type | |
lifeskim:mentions | |
pubmed:dateCreated |
2010-1-19
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pubmed:abstractText |
We explored the power and consistency to detect linkage and association with meta-analysis and pooled data analysis using Genetic Analysis Workshop 14 simulated data. The first 10 replicates from Aipotu population were used. Significant linkage and association was found at all 4 regions containing the major loci for Kofendrerd Personality Disorder (KPD) using both combined analyses although no significant linkage and association was found at all these regions in a single replicate. The linkage results from both analyses are consistent in terms of the significance level of linkage test and the estimate of locus location. After correction for multiple-testing, significant associations were detected for the same 8 single-nucleotide polymorphisms (SNP) in both analyses. There were another 2 SNPs for which significant associations with KPD were found only by pooled data analysis. Our study showed that, under homogeneous condition, the results from meta-analysis and pooled data analysis are similar in both linkage and association studies and the loss of power is limited using meta-analysis. Thus, meta-analysis can provide an overall evaluation of linkage and association when the original raw data is not available for combining.
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pubmed:grant | |
pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451713-10738538,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451713-10782012,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451713-10802644,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451713-11058432,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451713-11967554,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451713-14997420,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451713-4157472,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451713-7581446,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451713-8447318,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451713-8666377,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451713-8894640,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451713-9345087,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451713-9811422
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
1471-2156
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pubmed:author | |
pubmed:issnType |
Electronic
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pubmed:volume |
6 Suppl 1
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
S97
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pubmed:dateRevised |
2010-9-20
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pubmed:meshHeading |
pubmed-meshheading:16451713-Computer Simulation,
pubmed-meshheading:16451713-Databases, Genetic,
pubmed-meshheading:16451713-Family,
pubmed-meshheading:16451713-Genetic Predisposition to Disease,
pubmed-meshheading:16451713-Genetic Variation,
pubmed-meshheading:16451713-Humans,
pubmed-meshheading:16451713-Meta-Analysis as Topic,
pubmed-meshheading:16451713-Physical Chromosome Mapping,
pubmed-meshheading:16451713-Quantitative Trait, Heritable
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pubmed:year |
2005
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pubmed:articleTitle |
Identifying genetic variation affecting a complex trait in simulated data: a comparison of meta-analysis with pooled data analysis.
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pubmed:affiliation |
Department of Preventive Medicine and Epidemiology, Loyola University Chicago Medical Center, Maywood, IL, USA. xwu@apache.medctr.luhs.org
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pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, N.I.H., Extramural
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