Here is presented an approach to testing whether the effect of a candidate gene on a quantitative trait is dominant and for testing whether the effect is recessive. The approach uses parental genotype information in nuclear families to adjust for bias due to population admixture. The approach is applicable regardless of the nature of the sampling. The results of an application of the methods to a candidate mutation for diabetic nephropathy are used for illustration.

Diabetes Mellitus, Type 1↗

PubMedDate not supplied

A unified approach to adjusting association tests for population admixture with arbitrary pedigree structure and arbitrary missing marker information.

A general approach to family-based examinations of association between marker alleles and traits is proposed. The approach is based on computing p values by comparing test statistics for association to their conditional distributions given the minimal sufficient statistic under the null hypothesis for the genetic model, sampling plan and population admixture. The approach can be applied with any test statistic, so any kind of phenotype and multi-allelic markers may be examined, and covariates may be included in analyses. By virtue of the conditioning, the approach results in correct type I error probabilities regardless of population admixture, the true genetic model and the sampling strategy. An algorithm for computing the conditional distributions is described, and the results of the algorithm for configurations of nuclear families are presented. The algorithm is applicable with all pedigree structures and all patterns of missing marker allele information.

Algorithms↗

PubMedDate not supplied

Adjusting for confounding due to population admixture when estimating the effect of candidate genes on quantitative traits.

When analyzing the relationship between allelic variability and traits, a potential source of confounding is population admixture. An approach to adjusting for potential confounding due to population admixture when estimating the influence of allelic variability at a candidate gene is presented. The approach involves augmenting linear regression models with additional regressors. Family genotype data are used to define the regressors, and inclusion of the regressors ensures that, even in the presence of population admixture, the estimates of the regression coefficients that parameterize the influence of allelic variability on the trait are unbiased. The approach is illustrated through an analysis of the influence of apolipoprotein E genotype on plasma low density lipoprotein cholesterol concentrations.

Alleles↗

PubMedDate not supplied

A transmission disequilibrium test for quantitative trait loci.

The transmission disequilibrium test uses association between marker alleles and dichotomous traits for precise genetic mapping while avoiding confounding due to population admixture. Here, the methodology is generalized from dichotomous traits to quantitative traits. The generalization is computationally straightforward and may be used with multiple alleles and with siblings. Parametric assumptions on the distribution of the quantitative traits are not needed. Environmental and demographic covariates may be incorporated into the analysis. The results of simulation studies that provide information about the power of the approach are reported.

Alleles↗

PubMedDate not supplied

Isolated human growth hormone deficiency and related disorders.

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Adolescent↗