ArticleGenetics2001
An unconditional exact test for the Hardy-Weinberg equilibrium law: sample-space ordering using the Bayes factor.
Article in Genetics, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Efficient test for deviation from Hardy-Weinberg equilibrium with known or ambiguous typing in highly polymorphic loci.Briefings in bioinformatics · 2024Article
- On the Nuisance Parameter Elimination Principle in Hypothesis Testing.Entropy (Basel, Switzerland) · 2024Article
- Adaptive Significance Levels in Tests for Linear Regression Models: TheEntropy (Basel, Switzerland) · 2022Article
- A discussion on significance indices for contingency tables under small sample sizes.PloS one · 2018Article
- A composite likelihood approach in testing for Hardy Weinberg Equilibrium using family-based genetic survey data.Statistics in medicine · 2016Article
- A comparison of tests for Hardy-Weinberg Equilibrium in national genetic household surveys.BMC genetics · 2013Article
- Approximate and exact tests of Hardy-Weinberg equilibrium using uncertain genotypes.Genetic epidemiology · 2011Article
- The number of markers in the HapMap project: some notes on chi-square and exact tests for Hardy-Weinberg equilibrium.American journal of human genetics · 2010Article
- Bayesian methods for examining Hardy-Weinberg equilibrium.Biometrics · 2010Article
- Exact tests for Hardy-Weinberg proportions.Genetics · 2009Article
- A straightforward multiallelic significance test for the Hardy-Weinberg equilibrium law.Genetics and molecular biology · 2009Article
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4 authors.
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Abstract
Much forensic inference based upon DNA evidence is made assuming that the Hardy-Weinberg equilibrium (HWE) is valid for the genetic loci being used. Several statistical tests to detect and measure deviation from HWE have been devised, each having advantages and limitations. The limitations become more obvious when testing for deviation within multiallelic DNA loci is attempted. Here we present an exact test for HWE in the biallelic case, based on the ratio of weighted likelihoods under the null and alternative hypotheses, the Bayes factor. This test does not depend on asymptotic results and minimizes a linear combination of type I and type II errors. By ordering the sample space using the Bayes factor, we also define a significance (evidence) index, P value, using the weighted likelihood under the null hypothesis. We compare it to the conditional exact test for the case of sample size n = 10. Using the idea under the method of chi(2) partition, the test is used sequentially to test equilibrium in the multiple allele case and then applied to two short tandem repeat loci, using a real Caucasian data bank, showing its usefulness.
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