Variance heterogeneity analysis for detection of potentially interacting genetic loci: method and its limitations.
about
The GenABEL Project for statistical genomicsVariance heterogeneity in Saccharomyces cerevisiae expression data: trans-regulation and epistasis.Issues with data transformation in genome-wide association studies for phenotypic variabilityAnalysis pipeline for the epistasis search - statistical versus biological filtering.Genotypic variability based association identifies novel non-additive loci DHCR7 and IRF4 in sero-negative rheumatoid arthritis.An R package "VariABEL" for genome-wide searching of potentially interacting loci by testing genotypic variance heterogeneityModel-specific tests on variance heterogeneity for detection of potentially interacting genetic loci.Recent developments in statistical methods for detecting genetic loci affecting phenotypic variabilityInheritance beyond plain heritability: variance-controlling genes in Arabidopsis thaliana.A family-based joint test for mean and variance heterogeneity for quantitative traits.Higher-order genetic interactions and their contribution to complex traits.Detecting major genetic loci controlling phenotypic variability in experimental crosses.The Multi-allelic Genetic Architecture of a Variance-Heterogeneity Locus for Molybdenum Concentration in Leaves Acts as a Source of Unexplained Additive Genetic VarianceGenome-wide association study reveals novel loci for litter size and its variability in a Large White pig population.A Joint Location-Scale Test Improves Power to Detect Associated SNPs, Gene Sets, and PathwaysAssociation of SLC2A9 genotype with phenotypic variability of serum urate in pre-menopausal women.Protective effects of tumor necrosis factor-α blockade by adalimumab on articular cartilage and subchondral bone in a rat model of osteoarthritisGenomic Prediction Accounting for Residual Heteroskedasticity.Genetic variants contribute to gene expression variability in humansAnalysis of natural variation reveals neurogenetic networks for Drosophila olfactory behaviorFTO genotype is associated with phenotypic variability of body mass indexMajor histocompatibility complex harbors widespread genotypic variability of non-additive risk of rheumatoid arthritis including epistasis.Challenges and opportunities in genome-wide environmental interaction (GWEI) studiesWhat is the significance of difference in phenotypic variability across SNP genotypes?Additive, epistatic, and environmental effects through the lens of expression variability QTL in a twin cohortGenome metabolome integrated network analysis to uncover connections between genetic variants and complex traits: an application to obesity.Challenges and prospects in genome-wide quantitative trait loci mapping of standing genetic variation in natural populations.Practical aspects of genome-wide association interaction analysis.Gene expression variability and the analysis of large-scale RNA-seq studies with the MDSeq.A semiparametric model for vQTL mapping.A versatile omnibus test for detecting mean and variance heterogeneity.Meta-analysis of SNPs involved in variance heterogeneity using Levene's test for equal variances.Genotypic variability-based genome-wide association study identifies non-additive loci HLA-C and IL12B for psoriasis.On the relationship between epistasis and genetic variance heterogeneity.Environmental variation partitioned into separate heritable components.Beyond mean allelic effects: A locus at the major color gene MC1R associates also with differing levels of phenotypic and genetic (co)variance for coloration in barn owls.μ-Calpain, calpastatin, and growth hormone receptor genetic effects on preweaning performance, carcass quality traits, and residual variance of tenderness in Angus cattle selected to increase minor haplotype and allele frequencies.A sibling method for identifying vQTLs.Simulating variance heterogeneity in quantitative genome wide association studies.Epistasis and destabilizing mutations shape gene expression variability in humans via distinct modes of action.
P2860
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P2860
Variance heterogeneity analysis for detection of potentially interacting genetic loci: method and its limitations.
description
2010 nî lūn-bûn
@nan
2010 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
name
Variance heterogeneity analysi ...... i: method and its limitations.
@ast
Variance heterogeneity analysi ...... i: method and its limitations.
@en
type
label
Variance heterogeneity analysi ...... i: method and its limitations.
@ast
Variance heterogeneity analysi ...... i: method and its limitations.
@en
prefLabel
Variance heterogeneity analysi ...... i: method and its limitations.
@ast
Variance heterogeneity analysi ...... i: method and its limitations.
@en
P2860
P50
P356
P1433
P1476
Variance heterogeneity analysi ...... i: method and its limitations.
@en
P2093
Jacqueline Cm Witteman
Maksim V Struchalin
P2860
P2888
P356
10.1186/1471-2156-11-92
P577
2010-10-13T00:00:00Z
P5875
P6179
1032103730