A bivariate genetic analysis of HDL- and LDL-cholesterol incorporating measured covariates: A gibbs sampling application
✍ Scribed by Dr. Wendy J. Mack; W. James Gauderman; Duncan C. Thomas
- Publisher
- John Wiley and Sons
- Year
- 1993
- Tongue
- English
- Weight
- 371 KB
- Volume
- 10
- Category
- Article
- ISSN
- 0741-0395
No coin nor oath required. For personal study only.
✦ Synopsis
We analyzed HDL-and LDL-cholesterol levels as a bivariate phenotype in 27 families as a function of major genes, polygenes, and measured covariates using a Monte Carlo sampling technique called Gibbs sampling. Major genes and polygenes exhibited strong effects, when considered separately. While a major gene versus polygene model could not be clearly differentiated for HDL-C, polygenes appeared to play a stronger role than a major gene for LDL-C. There was no evidence of linkage between the two major genes for HDL-and LDL-C, and the correlation in polygenes was negative. The analyses illustrate the potential applicability of Gibbs sampling to such complex problems as the multivariate analysis of continuous phenotypes. cD 1993 Wiley-Liss, Inc.