The workshop data were examined using a newly developed methodology (MIL-INK, Risch, 1984) for combined segregation, linkage, and association analysis of a complex disease trait in pedigree data. Results from problems two and three suggest that the method is powerful both for determining mode of dis
Genetic analysis workshop II: Results of incorporating a linkage disequilibrium parameter
โ Scribed by David E. Goldgar; Pamela R. Fain
- Publisher
- John Wiley and Sons
- Year
- 1984
- Tongue
- English
- Weight
- 192 KB
- Volume
- 1
- Category
- Article
- ISSN
- 0741-0395
No coin nor oath required. For personal study only.
โฆ Synopsis
The incorporation of a linkage disequilibrium parameter, A, into linkage analysis is illustrated for data from Genetic Analysis Workshop 11. Points from a joint likelihood surface are calculated and displayed on a recombination fraction-linkage disequilibrium grid using a simple modification of LIPED. The approach is shown to increase the power of linkage analysis and the power of tests for heterogeneity of linkage for the simulated examples.
๐ SIMILAR VOLUMES
Data simulated for Genetic Analysis Workshop I1 were analyzed using PAP. Segregation analysis showed a simple recessive mode of inheritance for data set 2 while no conclusions could be made about the mode of inheritance for data set 3 . Pairwise linkage analysis suggested three linkage groups, but
Genetic Analysis Workshop I1 Problems 2 and 3 were analyzed using the segregation analysis program POINTER and the linkage analysis program LIPED. Results of the segregation analyses were acceptable with respect to both parameter estimation and hypothesis testing. Results of the linkage analyses wer
We analyzed disease-marker associations in Problem 3 for the Genetic Analysis Workshop 11, using PAP for segregation analysis and LIPED for linkage analysis. In this report we present aspects of our analyses that are not reported in the summary [MacCluer et al, 19841. Certain features that we added
A model for concordance in a binary measure that does not rely on the assumption of an underlying latent liability dichotomized about a threshold has been demonstrated for twin pairs [Hannah et al, 19831. It is extended here to pedigrees of arbitrary structure by making an assumption that is, for sm