Linked Life Data

16451601

Source:http://linkedlifedata.com/resource/pubmed/id/16451601

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2010-1-19
pubmed:abstractText
The Genetic Analysis Workshop 14 simulated data presents an interesting, challenging, and plausible example of a complex disease interaction in a dataset. This paper summarizes the ease of detection for each of the simulated Kofendrerd Personality Disorder (KPD) genes across all of the replicates for five standard linkage statistics. Using the KPD affection status, we have analyzed the microsatellite markers flanking each of the disease genes, plus an additional 2 markers that were not linked to any of the disease loci. All markers were analyzed using the following two-point linkage methods: 1) a MMLS, which is a standard admixture LOD score maximized over theta, alpha, and mode of inheritance, 2) a MLS calculated by GENEHUNTER, 3) the Kong and Cox LOD score as computed by MERLIN, 4) a MOD score (standard heterogeneity LOD maximized over theta, alpha, and a grid of genetic model parameters), and 5) the PPL, a Bayesian statistic that directly measures the strength of evidence for linkage to a marker. All of the major loci (D1-D4) were detectable with varying probabilities in the different populations. However, the modifier genes (D5 and D6) were difficult to detect, with similar distributions under the null and alternative across populations and statistics. The pooling of the four datasets in each replicate (n = 350 pedigrees) greatly improved the chance of detecting the major genes using all five methods, but failed to increase the chance to detect D5 and D6.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/16451601-10597525, http://linkedlifedata.com/resource/pubmed/commentcorrection/16451601-11281217, http://linkedlifedata.com/resource/pubmed/commentcorrection/16451601-11287741, http://linkedlifedata.com/resource/pubmed/commentcorrection/16451601-11731797, http://linkedlifedata.com/resource/pubmed/commentcorrection/16451601-12048648, http://linkedlifedata.com/resource/pubmed/commentcorrection/16451601-12898582, http://linkedlifedata.com/resource/pubmed/commentcorrection/16451601-15192281, http://linkedlifedata.com/resource/pubmed/commentcorrection/16451601-2301393, http://linkedlifedata.com/resource/pubmed/commentcorrection/16451601-2301394, http://linkedlifedata.com/resource/pubmed/commentcorrection/16451601-3741977, http://linkedlifedata.com/resource/pubmed/commentcorrection/16451601-8651312, http://linkedlifedata.com/resource/pubmed/commentcorrection/16451601-8981965, http://linkedlifedata.com/resource/pubmed/commentcorrection/16451601-9345087, http://linkedlifedata.com/resource/pubmed/commentcorrection/16451601-9758634, http://linkedlifedata.com/resource/pubmed/commentcorrection/16451601-9915967
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
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
S141
pubmed:dateRevised
2010-9-20
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Performance comparison of two-point linkage methods using microsatellite markers flanking known disease locations.
pubmed:affiliation
Center for Statistical Genetics Research, College of Public Health, Roy J & Lucille A Carver College of Medicine, University of Iowa, Iowa City, IA, USA. mark-logue@uiowa.edu
pubmed:publicationType
Journal Article, Comparative Study, Research Support, N.I.H., Extramural