|
rdf:type |
|
|
lifeskim:mentions |
|
|
pubmed:dateCreated |
2010-1-19
|
|
pubmed:abstractText |
Recombination during meiosis is one of the most important biological processes, and the level of recombination rates for a given individual is under genetic control. In this study, we conducted genome-wide association studies to identify chromosomal regions associated with recombination rates. We analyzed genotype data collected on the pedigrees in the Collaborative Study on the Genetics on Alcoholism data provided by Genetic Analysis Workshop 14. A total of 315 microsatellites and 10,081 single-nucleotide polymorphisms from Affymetrix on 22 autosomal chromosomes were used in our association analysis. Genome-wide gender-specific recombination counts for family founders were inferred first and association analysis was performed using multiple linear regressions. We used the positive false discovery rate (pFDR) to account for multiple comparisons in the two genome-wide scans. Eight regions showed some evidence of association with recombination counts based on the single-nucleotide polymorphism analysis after adjusting for multiple comparisons. However, no region was found to be significant using microsatellites.
|
|
pubmed:grant |
|
|
pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451663-11237020,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451663-11410837,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451663-11731797,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451663-11779816,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451663-11901136,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451663-12053178,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451663-12883005,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451663-14631356,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451663-15154113,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451663-8940263,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451663-9718341,
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451663-9927472
|
|
pubmed:language |
eng
|
|
pubmed:journal |
|
|
pubmed:citationSubset |
IM
|
|
pubmed:chemical |
|
|
pubmed:status |
MEDLINE
|
|
pubmed:issn |
1471-2156
|
|
pubmed:author |
|
|
pubmed:issnType |
Electronic
|
|
pubmed:volume |
6 Suppl 1
|
|
pubmed:owner |
NLM
|
|
pubmed:authorsComplete |
Y
|
|
pubmed:pagination |
S51
|
|
pubmed:dateRevised |
2010-9-20
|
|
pubmed:meshHeading |
pubmed-meshheading:16451663-Female,
pubmed-meshheading:16451663-Genetic Markers,
pubmed-meshheading:16451663-Genome-Wide Association Study,
pubmed-meshheading:16451663-Humans,
pubmed-meshheading:16451663-Male,
pubmed-meshheading:16451663-Microsatellite Repeats,
pubmed-meshheading:16451663-Polymorphism, Single Nucleotide,
pubmed-meshheading:16451663-Recombination, Genetic,
pubmed-meshheading:16451663-Sex Characteristics
|
|
pubmed:year |
2005
|
|
pubmed:articleTitle |
Whole-genome association analysis to identify markers associated with recombination rates using single-nucleotide polymorphisms and microsatellites.
|
|
pubmed:affiliation |
Program of Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA. song.huang@yale.edu
|
|
pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, Non-P.H.S.,
Research Support, N.I.H., Extramural
|
