论文信息 - Testing the association between polymorphic markers and quantitative traits in pedigrees

Testing the association between polymorphic markers and quantitative traits in pedigrees

A statistical model that uses an iterative maximum likelihood estimation procedure is proposed for measuring and testing the association between polymorhphic genetic markers and quantitative traits in human pedigrees, after adjusting for covariates such as age and sex. The model allows the quantitative trait to have a familial correlation structure among the individuals in the sample and to follow one of a broad class of skewed or kurtotic underlying distributions. The use of the model is illustrated, and the results are compared to those using models that assume normality without any transformation and do not incorporate familial correlations.

[1] R. Elston,et al. Multifactorial genetic models for quantitative traits in humans. , 1979, Biometrics.

[2] R. Elston,et al. A general model for the genetic analysis of pedigree data. , 1971, Human heredity.

[3] N. Draper,et al. An Alternative Family of Transformations , 1980 .

[4] T. Beaty,et al. Use of robust variance components models to analyse triglyceride data in families , 1985, Annals of human genetics.

[5] E. Boerwinkle,et al. The use of measured genotype information in the analysis of quantitative phenotypes in man. , 1987, Annals of human genetics.

[6] T. Sellers,et al. Description of a large pedigree with an adverse lipoprotein cholesterol phenotype: The Bogalusa Heart Study , 1986, Genetic epidemiology.

[7] David Ruppert,et al. Power Transformations When Fitting Theoretical Models to Data , 1984 .

[8] E. Boerwinkle,et al. The use of measured genotype information in the analysis of quantitative phenotypes in man , 1986, Annals of human genetics.

[9] C. Sing,et al. Analysis of genetic and environmental sources of variation in serum cholesterol in Tecumseh, Michigan. III. Identification of genetic effects using 12 polymorphic genetic blood marker systems. , 1976, American journal of human genetics.