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Monte Carlo Markov chain methods for genome screening.
Daw, E W; Kumm, J; Snow, G L; Thompson, E A; Wijsman, E M.
Afiliación
  • Daw EW; Division of Medical Genetics, University of Washington, Seattle 98195, USA.
Genet Epidemiol ; 17 Suppl 1: S133-8, 1999.
Article en En | MEDLINE | ID: mdl-10597425
ABSTRACT
We used Monte Carlo Markov chain (MCMC) methods to analyze a quantitative trait, MAO level, and a discrete trait, Collaborative Study on the Genetics of Alcoholism (COGA) alcoholism. Segregation, linkage, and haplotype sharing were analyzed and effects of marker map features were examined. For MAO, modest signals were found on chromosomes 1 and 17 for raw data, and 15 for covariate-adjusted data. For alcoholism, a strong signal was found on chromosome 1 with modest signals on chromosomes 4 and 10.
Asunto(s)
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Base de datos: MEDLINE Asunto principal: Pruebas Genéticas / Método de Montecarlo / Cadenas de Markov / Alcoholismo Tipo de estudio: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies / Screening_studies Límite: Female / Humans / Male Idioma: En Revista: Genet Epidemiol Asunto de la revista: EPIDEMIOLOGIA / GENETICA MEDICA Año: 1999 Tipo del documento: Article País de afiliación: Estados Unidos
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Base de datos: MEDLINE Asunto principal: Pruebas Genéticas / Método de Montecarlo / Cadenas de Markov / Alcoholismo Tipo de estudio: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies / Screening_studies Límite: Female / Humans / Male Idioma: En Revista: Genet Epidemiol Asunto de la revista: EPIDEMIOLOGIA / GENETICA MEDICA Año: 1999 Tipo del documento: Article País de afiliación: Estados Unidos