ArticleBiometrics2010
Bayesian methods for examining Hardy-Weinberg equilibrium.
Article in Biometrics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Interleukin-8 Gene -251 A/T (rs4073) Polymorphism and Coronary Artery Disease Risk: A Meta-Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2019Pooled it
- Article
- Tests for segregation distortion in tetraploid F1 populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Checking for model failure and for prior-data conflict with the constrained multinomial model.Metrika · 2021Article
- A Bayesian analysis for investigating the association between rs13266634 polymorphism in SLC30A8 gene and type 2 diabetes.Journal of diabetes and metabolic disorders · 2020Article
- Bayesian model selection for the study of Hardy-Weinberg proportions and homogeneity of gender allele frequencies.Heredity · 2019Article
- The Summer Institute in Statistical Genetics.Genetics · 2019Article
- Article
- Testing for Hardy-Weinberg equilibrium at biallelic genetic markers on the X chromosome.Heredity · 2016Article
- Inference of potential genetic risks associated with large-scale releases of red sea bream in Kanagawa prefecture, Japan based on nuclear and mitochondrial DNA analysis.Marine biotechnology (New York, N.Y.) · 2013Article
- Reducing bias of allele frequency estimates by modeling SNP genotype data with informative missingness.Frontiers in genetics · 2012Article
- Characterizing allelic association in the genome era.Genetics research · 2010Review
- Quality control and quality assurance in genotypic data for genome-wide association studies.Genetic epidemiology · 2010Article
- Exact tests for Hardy-Weinberg proportions.Genetics · 2009Article
- Bayesian statistical methods for genetic association studies.Nature reviews. Genetics · 2009Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Testing for Hardy-Weinberg equilibrium is ubiquitous and has traditionally been carried out via frequentist approaches. However, the discreteness of the sample space means that uniformity of p-values under the null cannot be assumed, with enumeration of all possible counts, conditional on the minor allele count, offering a computationally expensive way of p-value calibration. In addition, the interpretation of the subsequent p-values, and choice of significance threshold depends critically on sample size, because equilibrium will always be rejected at conventional levels with large sample sizes. We argue for a Bayesian approach using both Bayes factors, and the examination of posterior distributions. We describe simple conjugate approaches, and methods based on importance sampling Monte Carlo. The former are convenient because they yield closed-form expressions for Bayes factors, which allow their application to a large number of single nucleotide polymorphisms (SNPs), in particular in genome-wide contexts. We also describe straightforward direct sampling methods for examining posterior distributions of parameters of interest. For large numbers of alleles at a locus we resort to Markov chain Monte Carlo. We discuss a number of possibilities for prior specification, and apply the suggested methods to a number of real datasets.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.