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Parametric linkage analysis and disequilibrium methods to identify loci for complex disease.
McClintick, J; Koller, D L; Pankratz, N; Kirkwood, S C; Naughton, B; Foroud, T.
Afiliação
  • McClintick J; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Genet Epidemiol ; 21 Suppl 1: S528-33, 2001.
Article em En | MEDLINE | ID: mdl-11793731
ABSTRACT
A two-step process was used to find loci contributing to the qualitative disease phenotype in the Genetic Analysis Workshop (GAW) 12 simulated data. The first step used parametric linkage analysis with a limited number of dominant and recessive models to detect linkage to chromosomal regions. Subsequently, a subset of the simulated biallelic sequence polymorphisms was used for transmission/disequilibrium tests and to build haplotypes to fine map the disease-predisposing polymorphism(s). A haplotype, strongly associated with the disease phenotype whose proximal end was within 39 base pairs of the functional allele for simulated major gene 6, was identified in the isolated population.
Assuntos
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Base de dados: MEDLINE Assunto principal: Fenótipo / Desequilíbrio de Ligação / Mapeamento Cromossômico / Predisposição Genética para Doença Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2001 Tipo de documento: Article
Buscar no Google
Base de dados: MEDLINE Assunto principal: Fenótipo / Desequilíbrio de Ligação / Mapeamento Cromossômico / Predisposição Genética para Doença Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2001 Tipo de documento: Article