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rdf:type |
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lifeskim:mentions |
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pubmed:dateCreated |
2008-6-9
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pubmed:abstractText |
Understanding differences in the genetic architecture of complex traits between the two sexes has significant implications for evolutionary studies and clinical diagnosis. However, our knowledge about sex-specific genetic architecture is limited largely because of a lack of analytical models that can detect and quantify the effects of sex on the complexity of quantitative genetic variation. Here, we derived a statistical model for mapping DNA sequence variants that contribute to sex-specific differences in allele frequencies, linkage disequilibria, and additive and dominance genetic effects due to haplotype diversity. This model allows a genome-wide search for functional haplotypes and the estimation and test of haplotype by sex interactions and sex-specific heritability. The model, validated by simulation studies, was used to detect sex-specific functional haplotypes that encode a pain sensitivity trait in humans. The model could have important implications for mapping complex trait genes and studying the detailed genetic architecture of sex-specific differences.
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pubmed:grant |
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/18416828-10581484,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18416828-10924473,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18416828-11253064,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18416828-11258193,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18416828-11258597,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18416828-12663542,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18416828-12898014,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18416828-14640421,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18416828-14685227,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18416828-15172667,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18416828-15304622,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18416828-15324772,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18416828-15454560,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18416828-15520793,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18416828-15526234,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18416828-15772909,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18416828-15851067,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18416828-15897484,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18416828-1604317,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18416828-16429159,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18416828-16579875,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18416828-17597758,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18416828-9315917
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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:status |
MEDLINE
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pubmed:issn |
1744-8069
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
4
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
13
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pubmed:dateRevised |
2009-11-18
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pubmed:meshHeading |
pubmed-meshheading:18416828-Female,
pubmed-meshheading:18416828-Genetic Variation,
pubmed-meshheading:18416828-Humans,
pubmed-meshheading:18416828-Male,
pubmed-meshheading:18416828-Models, Genetic,
pubmed-meshheading:18416828-Models, Statistical,
pubmed-meshheading:18416828-Pain Threshold,
pubmed-meshheading:18416828-Polymorphism, Single Nucleotide,
pubmed-meshheading:18416828-Quantitative Trait, Heritable,
pubmed-meshheading:18416828-Sex Characteristics
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pubmed:year |
2008
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pubmed:articleTitle |
A computational model for sex-specific genetic architecture of complex traits in humans: implications for mapping pain sensitivity.
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pubmed:affiliation |
Department of Statistics, University of Florida, Gainesville, FL 32611 USA. cgwang@cog.ufl.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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