A comprehensive analysis of complex traits in problem 2A
โ Scribed by S.H. Juo; T.H. Beaty; D.L. Duffy; N.E. Maestri; V.L. Prenger; J. Zeiger; H.H. Lei; J. Coresh
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 72 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0741-0395
No coin nor oath required. For personal study only.
โฆ Synopsis
We used descriptive analysis to investigate the relationship between affection status and five quantitative traits (Q1-Q5) in Problem 2A and results suggested the five quantitative traits fall into two groups. The first group comprised three strongly correlated traits, Q1-Q3, which underlie affection status, and the second group comprised Q4 and Q5, which are not directly related to affection status. Segregation and linkage analyses of traits Q1-Q3 and affection status from the first replicate detected one of the major loci for Q1 (MG1) linked to marker 14 on chromosome 5 (D5G14). Because our segregation analysis failed to show evidence of a major locus effect on Q2, and we overlooked the interaction between MG3 and sex, we did not detect either MG2 or MG3. Using Haseman-Elston sib-pair analysis [Haseman and Elston, 1972], we also examined the statistical power of Q1 and type I error rate (using the environmental factor as an index), for the remaining 199 replicates in the context of a genome screen.
๐ SIMILAR VOLUMES
Convergence theorems and asymptotic estimates (as P0) are proved for eigenvalues and eigenfunctions of a mixed boundary value problem for the Laplace operator in a junction C of a domain and a large number N of -periodically situated thin cylinders with thickness of order "O(N\). We construct an ext
A major problem confronting researchers and curriculum workers interested in interaction analysis techniques in education is that of determining the time required to adequately sample a teacher's communication behavior. This study was undertaken to provide some tentative answers to this persistent p
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