We examine a Bayesian Markov-chain Monte Carlo framework for simultaneous segregation and linkage analysis in the simulated single-nucleotide polymorphism data provided for Genetic Analysis Workshop 16. We conducted linkage only, linkage and association, and association only tests under this framework. We also compared these results with variance-component linkage analysis and regression analyses. The results indicate that the method shows some promise, but finding genes that have very small (<0.1%) contributions to trait variance may require additional sources of information. All methods examined fared poorly for the smallest in the simulated "polygene" range (h2 of 0.0015 to 0.0002).

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2796002PMC
http://dx.doi.org/10.1186/1753-6561-3-s7-s98DOI Listing

Publication Analysis

Top Keywords

linkage association
8
genetic analysis
8
analysis workshop
8
linkage analysis
8
linkage
5
analysis
5
framework analyzing
4
analyzing linkage
4
association analysis
4
analysis genetic
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!