Tests for establishing compatibility of an observed genotype distribution with Hardy-Weinberg equilibrium in the case of a biallelic locus.
The classical chi(2)-procedure for the assessment of genetic equilibrium is tailored for establishing lack rather than goodness of fit of an observed genotype distribution to a model satisfying the Hardy-Weinberg law, and the same is true for the exact competitors to the large-sample procedure, which have been proposed in the biostatistical literature since the late 1930s. In this contribution, the methodology of statistical equivalence testing is adopted for the construction of tests for problems in which the assumption of approximate compatibility of the genotype distribution actually sampled with Hardy-Weinberg equilibrium (HWE) plays the role of the alternative hypothesis one aims to establish. The result of such a construction highly depends on the choice of a measure of distance to be used for defining an indifference zone containing those genotype distributions whose degree of disequilibrium shall be considered irrelevant. The first such measure proposed here is the Euclidean distance of the true parameter vector from that of a genotype distribution with identical allele frequencies being in strict HWE. The second measure is based on the (scalar) parameter of the distribution first introduced into the present context by Stevens (1938, Annals of Eugenics 8, 377-383). The first approach leads to a nonconditional test (which nevertheless can be carried out in a numerically exact way), the second to an exact conditional test shown to be uniformly most powerful unbiased (UMPU) for the associated pair of hypotheses. Both tests are compared in terms of the exact power attained against the class of those specific alternatives under which HWE is strictly satisfied.
Wellek
Stefan
S
Division of Biostatistics, Central Institute of Mental Health Mannheim, University of Heidelberg, D-68159 Mannheim, J5, Germany. wellek@zi-mannheim.de
D000483:Alleles; D000544:Alzheimer Disease / Q000201:enzymology / Q000235:genetics; D001699:Biometry / Q000379:methods*; D005353:Fibronectins / Q000235:genetics; D005787:Gene Frequency; D005838:Genotype; D006579:Heterozygote; D006801:Humans; D008780:Methyltransferases / Q000235:genetics; D008957:Models, Genetic; D015233:Models, Statistical; D050918:Phosphatidylethanolamine N-Methyltransferase; D011110:Polymorphism, Genetic; D012559:Schizophrenia / Q000201:enzymology / Q000235:genetics; D014446:Tyrosine 3-Monooxygenase / Q000235:genetics
D005353:Fibronectins; D014446:Tyrosine 3-Monooxygenase; D008780:Methyltransferases; D050918:Phosphatidylethanolamine N-Methyltransferase