Complex parametric segregation and linkage analysis was performed on the simulated quantitative trait Q1 for all 200 replicates of the nuclear families data set. The segregation analysis inferred a major gene in 46% of the replicates. Among all replicates, including those that rejected a major gene,
Power of variance component linkage analysis to detect epistasis
โ Scribed by Braxton D. Mitchell; Soumitra Ghosh; Jennifer L. Schneider; Gunther Birznieks; John Blangero
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 96 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0741-0395
No coin nor oath required. For personal study only.
โฆ Synopsis
Variance component methods are now being used in linkage analysis to detect genes influencing complex diseases. These methods are easily extended to allow for simultaneous estimation of both the additive effects of multiple loci on phenotypic variation (conditional oligogenic analysis) and the additive interaction (epistatic) effects among loci. We performed linkage analyses on 200 of the simulated replicates in order to evaluate the power to detect the main effects of MG1and MG2 on Q1 as well as their interaction effects. The power to detect the main effect of MG1 was moderately good, although the power to detect MG2 and the MG1รMG2 interaction was poor.
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