| Haplotype association analysis of discrete and continuous traits using mixture of regression models. | |
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MedLine Citation:
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PMID: 14755185 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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We present a regression-based method of haplotype association analysis for quantitative and dichotomous traits in samples consisting of unrelated individuals. The method takes account of uncertain phase by initially estimating haplotype frequencies and obtaining the posterior probabilities of all possible haplotype combinations in each individual, then using these as weights in a finite mixture of regression models. Using this method, different combinations of marker loci can be modeled, to find a parsimonious set of marker loci that are most predictive and therefore most likely to be closely associated with the a quantitative trait locus. The method has the additional advantage of being able to use individuals with some missing genotype data, by considering all possible genotypes at the missing markers. We have implemented this method using the SNPHAP and Mx programs and illustrated its use on published data on idiopathic generalized epilepsy. |
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Authors:
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P C Sham; F V Rijsdijk; J Knight; A Makoff; B North; D Curtis |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S. |
Journal Detail:
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Title: Behavior genetics Volume: 34 ISSN: 0001-8244 ISO Abbreviation: Behav. Genet. Publication Date: 2004 Mar |
Date Detail:
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Created Date: 2004-02-02 Completed Date: 2004-07-07 Revised Date: 2007-11-14 |
Medline Journal Info:
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Nlm Unique ID: 0251711 Medline TA: Behav Genet Country: United States |
Other Details:
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Languages: eng Pagination: 207-14 Citation Subset: IM |
Affiliation:
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Social, Genetic, and Developmental Psychiatry Research Centre, Institute of Psychiatry, P.O. 080, King's College London, De Crespigny Park, London SE5 8AF, United Kingdom. p.sham@iop.kcl.ac.uk |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Chromosome Mapping
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statistics & numerical data* Epilepsy, Generalized / genetics* Gene Frequency / genetics Genetic Markers / genetics Genetics, Population Genotype* Haplotypes / genetics* Humans Logistic Models Mathematical Computing Models, Genetic* Models, Statistical* Phenotype Probability Quantitative Trait Loci / genetics* Software |
| Grant Support | |
ID/Acronym/Agency:
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EY 12562/EY/NEI NIH HHS |
| Chemical | |
Reg. No./Substance:
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0/Genetic Markers |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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