Monte Carlo Markov chain methods for genome screening

Authors
Daw, EW Kumm, J Snow, GL Thompson, EA Wijsman, EM
Citation
Ew. Daw et al., Monte Carlo Markov chain methods for genome screening, GENET EPID, 17, 1999, pp. S133-S138
Citations number
5
Categorie Soggetti
Molecular Biology & Genetics
Journal title
GENETIC EPIDEMIOLOGY
ISSN journal
07410395 → ACNP
Volume
17
Year of publication
1999
Supplement
1
Pages
S133 - S138
Database
ISI
SICI code
0741-0395(1999)17:<S133:MCMCMF>2.0.ZU;2-G
Abstract
We used Monte Carlo Markov chain (MCMC) methods to analyze a quantitative t rait, MAO level, and a discrete trait, Collaborative Study on the Genetics of Alcoholism (COGA) alcoholism. Segregation, linkage, and haplotype sharin g 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 chromo some 1 with modest signals on chromosomes 4 and 10. (C) 1999 Wiley-Liss, In c.