Monte Carlo Markov chain methods for genome screening.
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.
Daw
E W
EW
Division of Medical Genetics, University of Washington, Seattle 98195, USA.
Kumm
J
J
Snow
G L
GL
Thompson
E A
EA
Wijsman
E M
EM
D000437:Alcoholism / Q000235:genetics*; D002874:Chromosome Mapping; D002878:Chromosomes, Human, Pair 1; D002879:Chromosomes, Human, Pair 10; D002894:Chromosomes, Human, Pair 4; D005260:Female; D008040:Genetic Linkage; D005819:Genetic Markers; D005820:Genetic Testing; D016678:Genome; D006239:Haplotypes; D006801:Humans; D008126:Lod Score; D008297:Male; D008390:Markov Chains; D008995:Monoamine Oxidase / Q000235:genetics; D009010:Monte Carlo Method; D019655:Quantitative Trait, Heritable; D012737:Sex Factors; D012984:Software
D005819:Genetic Markers; D008995:Monoamine Oxidase