ArticleAmerican journal of human genetics2013
What is the significance of difference in phenotypic variability across SNP genotypes?
Article in American journal of human genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 4 of them syntheses that pooled it.
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Who cites it
26 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Oxidative Stress-Related Genome-Wide Mendelian Randomization Identifies Causal Genes for Coronary Artery Disease.Cardiovascular therapeutics · 2026Pooled it
- Regulatory T lymphocytes/Th17 lymphocytes imbalance in autism spectrum disorders: evidence from a meta-analysis.Molecular autism · 2021Pooled it
- Ranking and characterization of established BMI and lipid associated loci as candidates for gene-environment interactions.PLoS genetics · 2017Pooled it
- Novel approach identifies SNPs in SLC2A10 and KCNK9 with evidence for parent-of-origin effect on body mass index.PLoS genetics · 2014Pooled it
- The benefits of permutation-based genome-wide association studies.Journal of experimental botany · 2024Article
- Genetic influence on within-person longitudinal change in anthropometric traits in the UK Biobank.Nature communications · 2024Article
- A new test for trait mean and variance detects unreported loci for blood-pressure variation.American journal of human genetics · 2024Article
- Detecting genetic effects on phenotype variability to capture gene-by-environment interactions: a systematic method comparison.G3 (Bethesda, Md.) · 2024Review
- Efficient permutation-based genome-wide association studies for normal and skewed phenotypic distributions.Bioinformatics (Oxford, England) · 2022Article
- Genome-wide variance quantitative trait locus analysis suggests small interaction effects in blood pressure traits.Scientific reports · 2022Article
- Leveraging phenotypic variability to identify genetic interactions in human phenotypes.American journal of human genetics · 2021Article
- The Statistical Scale Effect as a Source of Positive Genetic Correlation Between Mean and Variability: A Simulation Study.G3 (Bethesda, Md.) · 2019Article
- Genotype-by-environment interactions inferred from genetic effects on phenotypic variability in the UK Biobank.Science advances · 2019Article
- Beyond the traditional simulation design for evaluating type 1 error control: From the "theoretical" null to "empirical" null.Genetic epidemiology · 2019Article
- Quantile regression analysis reveals widespread evidence for gene-environment or gene-gene interactions in myopia development.Communications biology · 2019Article
- Mean-Variance QTL Mapping Identifies Novel QTL for Circadian Activity and Exploratory Behavior in Mice.G3 (Bethesda, Md.) · 2018Article
- QTL Mapping on a Background of Variance Heterogeneity.G3 (Bethesda, Md.) · 2018Article
- A sibling method for identifying vQTLs.PloS one · 2018Article
- Genotypic variability based association identifies novel non-additive loci DHCR7 and IRF4 in sero-negative rheumatoid arthritis.Scientific reports · 2017Article
- Impact of the X Chromosome and sex on regulatory variation.Genome research · 2016Article
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4 authors.
Funding
Abstract
We studied the general problem of interpreting and detecting differences in phenotypic variability among the genotypes at a locus, from both a biological and a statistical point of view. The scales on which we measure interval-scale quantitative traits are man-made and have little intrinsic biological relevance. Before claiming a biological interpretation for genotype differences in variance, we should be sure that no monotonic transformation of the data can reduce or eliminate these differences. We show theoretically that for an autosomal diallelic SNP, when the three corresponding means are distinct so that the variance can be expressed as a quadratic function of the mean, there implicitly exists a transformation that will tend to equalize the three variances; we also demonstrate how to find a transformation that will do this. We investigate the validity of Bartlett's test, Box's modification of it, and a modified Levene's test to test for differences in variances when normality does not hold. We find that, although they may detect differences in variability, these tests do not necessarily detect differences in variance. The same is true for permutation tests that use these three statistics.
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