Comparison of Linkage Analyses for Gene Expression Traits
Author Information
Author(s): Sung Yun Ju, Di Yanming, Fu Audrey Q, Rothstein Joseph H, Sieh Weiva, Tong Liping, Thompson Elizabeth A, Wijsman Ellen M
Primary Institution: University of Washington
Hypothesis
To compare results from several multipoint linkage analysis programs for quantitative traits.
Conclusion
The study found that MCMC-based programs from the MORGAN package provide accurate LOD scores for quantitative traits with SNP markers.
Supporting Evidence
- All analyses provided consistent results for both peak location and shape.
- Variance-components analysis gave wider peaks and Bayes factors gave fewer peaks.
- lm_multiple performed better than lm_markers, resulting in less variability between runs.
Takeaway
The researchers looked at different ways to analyze genetic traits and found that one method worked better than another for getting accurate results.
Methodology
Multipoint linkage analyses were performed using various programs and models on gene expression traits in CEPH families.
Limitations
Models for QTLs other than the primary QTL were difficult to estimate with the Bayesian approach.
Participant Demographics
14 three-generation CEPH families.
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