Joint multivariate segregation and linkage analysis provides a method for simultaneously analyzing data on affection status, correlated phenotypic traits, environmental risk factors, and other covariates. The power of this approach for mapping disease susceptibility loci of small effect (oligogenes)
Analysis of complex oligogenic disease
โ Scribed by Jeffrey R. O'Connell; Sean Davis; Daniel E. Weeks
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 144 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0741-0395
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โฆ Synopsis
Our analysis of GAW10 problem 2 data set consisted of linear regression analysis followed by linkage analysis. The linear regression analysis allowed some exploration of the relationships between the quantitative variables. Furthermore, it isolated some of the components of certain quantitative variables that were not due to a major locus and facilitated the linkage analysis that followed. For the linkage analysis, we used MAPMAKER/SIBS and the SIBPAL program from S.A.G.E. We found linkage of Q4 to chromosome 8. Analysis using the residuals of Q1 and Q3 showed linkage to chromosomes 5 and 4, respectively.
๐ SIMILAR VOLUMES
A sequential scheme for identifying genetic markers, in linkage disequilibrium with disease susceptibility loci, was utilized to evaluate potential associations between a rare oligogenic disease and genetic variation at 360 anonymous DNA markers. 1995 Wiley-Liss, Inc.
All three simulated loci influencing the quantitative variables 41, 42, and 4 3 were successfully mapped by using a strategy of covariate adjustment and segregation analysis, coupled with association analyses and lod-score analyses.
Sib pairs drawn from the simulated common oligogenic disease families were selected for extreme quantitative trait scores and analyzed using interval mapping and multipoint methods. Linkage analyses of 112 selected sib pairs, in which one or more members had trait values exceeding the disease thresh
We present an overview of pedigree-based variance component linkage methods and discuss their extension to oligogenic inheritance. As an example, oligogenic linkage analyses were performed using the quantitative trait Q4 from the GAW10 simulated data set. A strategy involving sequential oligogenic a
Using data simulated to reflect an oligogenic disease, we evaluated screening strategies based on lod-score and weighted painvise correlation (WPC) analysis with respect to their ability to efficiently identify regions near disease loci. Lodscore analysis was done twice, once assuming a near-recessi