Epistasis: what it means, what it doesn't mean, and statistical methods to detect it in humans.
about
Interactions among genes in the ErbB-Neuregulin signalling network are associated with increased susceptibility to schizophreniaEpistasis--the essential role of gene interactions in the structure and evolution of genetic systemsGene-environment interactions in cancer epidemiology: a National Cancer Institute Think Tank reportConvergent evidence that oligodendrocyte lineage transcription factor 2 (OLIG2) and interacting genes influence susceptibility to schizophreniaSystematic quantification of gene interactions by phenotypic array analysisA survey about methods dedicated to epistasis detectionDiscovering epistasis in large scale genetic association studies by exploiting graphics cardsLinear mixed model for heritability estimation that explicitly addresses environmental variationSearching for signaling balance through the identification of genetic interactors of the Rab guanine-nucleotide dissociation inhibitor gdi-1GWIS--model-free, fast and exhaustive search for epistatic interactions in case-control GWAS.ADH4 gene variation is associated with alcohol dependence and drug dependence in European Americans: results from HWD tests and case-control association studiesCumulative-genetic plasticity, parenting and adolescent self-regulationMining significant substructure pairs for interpreting polypharmacology in drug-target networkQuantitative epistasis analysis and pathway inference from genetic interaction dataVariants identified in a GWAS meta-analysis for blood lipids are associated with the lipid response to fenofibrateEnvironmental Interactions and Epistasis Are Revealed in the Proteomic Responses to Complex StimuliContingency and entrenchment in protein evolution under purifying selectionGene-environment interactions in genome-wide association studies: current approaches and new directionsGrowth of novel epistatic interactions by gene duplicationBOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studiesIntegrative analysis for finding genes and networks involved in diabetes and other complex diseasesA genome-wide association study identifies susceptibility loci for nonsyndromic sagittal craniosynostosis near BMP2 and within BBS9Genome-wide association study identifies a sequence variant within the DAB2IP gene conferring susceptibility to abdominal aortic aneurysmDetecting High-Order Epistasis in Nonlinear Genotype-Phenotype MapsGenome-wide association studies for common diseases and complex traitsEvidence of gene-gene interaction and age-at-diagnosis effects in type 1 diabetes.Studying gene and gene-environment effects of uncommon and common variants on continuous traits: a marker-set approach using gene-trait similarity regression.The promise and perils of interpreting genetic associations in Crohn's disease.SNP-SNP interactions dominate the genetic architecture of candidate genes associated with left ventricular mass in African-Americans of the GENOA study.Likelihood ratio test for detecting gene (G)-environment (E) interactions under an additive risk model exploiting G-E independence for case-control data.A custom correlation coefficient (CCC) approach for fast identification of multi-SNP association patterns in genome-wide SNPs data.Sparse models for correlative and integrative analysis of imaging and genetic dataGenome-wide association data classification and SNPs selection using two-stage quality-based Random ForestsKnowledge-driven multi-locus analysis reveals gene-gene interactions influencing HDL cholesterol level in two independent EMR-linked biobanks.Linkage analysis of GAW14 simulated data: comparison of multimarker, multipoint, and conditional approaches.An interaction quantitative trait loci tool implicates epistatic functional variants in an apoptosis pathway in smallpox vaccine eQTL data.Detection for gene-gene co-association via kernel canonical correlation analysis.Two-stage strategies to detect gene x gene interactions in case-control data.Detecting epistatic interactions contributing to human gene expression using the CEPH family dataMethods for detecting gene x gene interaction in multiplex extended pedigrees
P2860
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P2860
Epistasis: what it means, what it doesn't mean, and statistical methods to detect it in humans.
description
2002 nî lūn-bûn
@nan
2002 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
Epistasis: what it means, what ...... ethods to detect it in humans.
@ast
Epistasis: what it means, what ...... ethods to detect it in humans.
@en
Epistasis: what it means, what ...... ethods to detect it in humans.
@nl
type
label
Epistasis: what it means, what ...... ethods to detect it in humans.
@ast
Epistasis: what it means, what ...... ethods to detect it in humans.
@en
Epistasis: what it means, what ...... ethods to detect it in humans.
@nl
prefLabel
Epistasis: what it means, what ...... ethods to detect it in humans.
@ast
Epistasis: what it means, what ...... ethods to detect it in humans.
@en
Epistasis: what it means, what ...... ethods to detect it in humans.
@nl
P356
P1476
Epistasis: what it means, what ...... ethods to detect it in humans.
@en
P2093
Heather J Cordell
P304
P356
10.1093/HMG/11.20.2463
P577
2002-10-01T00:00:00Z