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- PMID: 14755185
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Article: Haplotype Association Analysis of Discrete and Continuous Traits Using Mixture of Regression Models
Title | Haplotype Association Analysis of Discrete and Continuous Traits Using Mixture of Regression Models |
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Authors | |
Keywords | Association Haplotype Mixture Regression |
Issue Date | 2004 |
Publisher | Springer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0001-8244 |
Citation | Behavior Genetics, 2004, v. 34 n. 2, p. 207-214 How to Cite? |
Abstract | 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. |
Persistent Identifier | http://hdl.handle.net/10722/175908 |
ISSN | 2023 Impact Factor: 2.6 2023 SCImago Journal Rankings: 1.092 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sham, PC | en_US |
dc.contributor.author | Rijsdijk, FV | en_US |
dc.contributor.author | Knight, J | en_US |
dc.contributor.author | Makoff, A | en_US |
dc.contributor.author | North, B | en_US |
dc.contributor.author | Curtis, D | en_US |
dc.date.accessioned | 2012-11-26T09:02:22Z | - |
dc.date.available | 2012-11-26T09:02:22Z | - |
dc.date.issued | 2004 | en_US |
dc.identifier.citation | Behavior Genetics, 2004, v. 34 n. 2, p. 207-214 | en_US |
dc.identifier.issn | 0001-8244 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/175908 | - |
dc.description.abstract | 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. | en_US |
dc.language | eng | en_US |
dc.publisher | Springer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0001-8244 | en_US |
dc.relation.ispartof | Behavior Genetics | en_US |
dc.subject | Association | - |
dc.subject | Haplotype | - |
dc.subject | Mixture | - |
dc.subject | Regression | - |
dc.subject.mesh | Chromosome Mapping - Statistics & Numerical Data | en_US |
dc.subject.mesh | Epilepsy, Generalized - Genetics | en_US |
dc.subject.mesh | Gene Frequency - Genetics | en_US |
dc.subject.mesh | Genetic Markers - Genetics | en_US |
dc.subject.mesh | Genetics, Population | en_US |
dc.subject.mesh | Genotype | en_US |
dc.subject.mesh | Haplotypes - Genetics | en_US |
dc.subject.mesh | Humans | en_US |
dc.subject.mesh | Logistic Models | en_US |
dc.subject.mesh | Mathematical Computing | en_US |
dc.subject.mesh | Models, Genetic | en_US |
dc.subject.mesh | Models, Statistical | en_US |
dc.subject.mesh | Phenotype | en_US |
dc.subject.mesh | Probability | en_US |
dc.subject.mesh | Quantitative Trait Loci - Genetics | en_US |
dc.subject.mesh | Software | en_US |
dc.title | Haplotype Association Analysis of Discrete and Continuous Traits Using Mixture of Regression Models | en_US |
dc.type | Article | en_US |
dc.identifier.email | Sham, PC: pcsham@hku.hk | en_US |
dc.identifier.authority | Sham, PC=rp00459 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1023/B:BEGE.0000013734.39266.a3 | en_US |
dc.identifier.pmid | 14755185 | - |
dc.identifier.scopus | eid_2-s2.0-1442332571 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-1442332571&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 34 | en_US |
dc.identifier.issue | 2 | en_US |
dc.identifier.spage | 207 | en_US |
dc.identifier.epage | 214 | en_US |
dc.identifier.isi | WOS:000189303800010 | - |
dc.publisher.place | United States | en_US |
dc.identifier.scopusauthorid | Sham, PC=34573429300 | en_US |
dc.identifier.scopusauthorid | Rijsdijk, FV=6701830835 | en_US |
dc.identifier.scopusauthorid | Knight, J=13002769800 | en_US |
dc.identifier.scopusauthorid | Makoff, A=7006063526 | en_US |
dc.identifier.scopusauthorid | North, B=7005058731 | en_US |
dc.identifier.scopusauthorid | Curtis, D=14633020700 | en_US |
dc.identifier.citeulike | 5422923 | - |
dc.identifier.issnl | 0001-8244 | - |