Comparison of marker types and map assumptions using Markov chain Monte Carlo-based linkage analysis of COGA data

We performed multipoint linkage analysis of the electrophysiological trait ECB21 on chromosome 4 in the full pedigrees provided by the Collaborative Study on the Genetics of Alcoholism (COGA). Three Markov chain Monte Carlo (MCMC)-based approaches were applied to the provided and re-estimated geneti...

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Detalles Bibliográficos
Autores principales: Sieh, Weiva, Basu, Saonli, Fu, Audrey Q, Rothstein, Joseph H, Scheet, Paul A, Stewart, William CL, Sung, Yun J, Thompson, Elizabeth A, Wijsman, Ellen M
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866829/
https://www.ncbi.nlm.nih.gov/pubmed/16451566
http://dx.doi.org/10.1186/1471-2156-6-S1-S11
Descripción
Sumario:We performed multipoint linkage analysis of the electrophysiological trait ECB21 on chromosome 4 in the full pedigrees provided by the Collaborative Study on the Genetics of Alcoholism (COGA). Three Markov chain Monte Carlo (MCMC)-based approaches were applied to the provided and re-estimated genetic maps and to five different marker panels consisting of microsatellite (STRP) and/or SNP markers at various densities. We found evidence of linkage near the GABRB1 STRP using all methods, maps, and marker panels. Difficulties encountered with SNP panels included convergence problems and demanding computations.

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