The Use of Polymorphic Markers to Detect Genetic Variability
In non-experimental organisms, such as humans, it is not an easy matter to demonstrate unequivocally that a genetic component is involved in the determination of a trait. Estimates of heritability are based on familial correlations on the assumption that non-genetic correlations between pairs of relatives can be allowed for statistically. There have been many recent advances in segregation analysis to detect single-gene effects, but it is still difficult to be certain that any apparent segregation is in fact due to an underlying genetic mechanism (Elston, 1986). The basic problem is that in general we cannot infer causal mechanisms from observational data (Kempthorne, 1978). However, the availability of polymorphic genetic markers allows us to circumvent this difficulty to a certain extent.
KeywordsMarker Locus Polymorphic Marker Marker Information Partial Regression Coefficient Disease Trait
Unable to display preview. Download preview PDF.
- Elston, R. C., 1985, Polymorphic markers and their use in genetic linkage, in “Biomarkers, Genetics and Cancer,” H. Anton-Guirgis and H. T. Lynch, eds., Van Nostrand Rheinold Co., New York.Google Scholar
- Elston, R. C., 1986, Modern methods of segregation analysis, in “Modern Statistical Methods in Chronic Disease Epidemiology,” S. H. Moolgavkar and R. L. Prentice, eds., John Wiley and Sons.Google Scholar
- Elston, R. C., 1987, Linkage methods for detection of major genes, paper presented at the international symposium on “Advances in Statistical Methods for Genetic Improvement of Livestock,” Armidale, Australia, Feb. 17–20.Google Scholar
- Holm, S., 1979, A simple sequentially rejective multiple test procedure, Scand. J. Statist., 6:65.Google Scholar
- Li, C. C., 1955, “Population Genetics,” University of Chicago Press, Chicago.Google Scholar
- Ott, J., 1985, “Analysis of Human Genetic Linkage,” The Johns Hopkins University Press, Baltimore.Google Scholar