Powerful Regression-Based Quantitative-Trait Linkage Analysis of General Pedigrees
✍ Scribed by Pak C. Sham; Shaun Purcell; Stacey S. Cherny; Gonçalo R. Abecasis
- Book ID
- 117853957
- Publisher
- American Society of Human Genetics
- Year
- 2002
- Tongue
- English
- Weight
- 706 KB
- Volume
- 71
- Category
- Article
- ISSN
- 0002-9297
- DOI
- 10.1086/341560
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There are numerous statistical methods for quantitative trait linkage analysis in human studies. An ideal such method would have high power to detect genetic loci contributing to the trait, would be robust to non-normality in the phenotype distribution, would be appropriate for general pedigrees, wo
Goals of this analysis were to map loci contributing to variation in the quantitative trait, Q1, using the lod-score method on data set 1, and to explore the difference in power to map genes when considering the discrete vs. quantitative phenotype. Segregation analyses, after covariate adjustment, c
## Abstract Use of the regressive models to account for residual familial correlations in linkage analysis of complex quantitative traits can increase the power to detect linkage. This is especially observed when the effect of the gene to be mapped is small or when the residual correlations are sub