Designing and analysing case-control studies to exploit independence of genotype and exposure.
about
Meta-analysis of haplotype-association studies: comparison of methods and empirical evaluation of the literatureReview on genetic variants and maternal smoking in the etiology of oral clefts and other birth defectsGene-environment interactions in genome-wide association studies: current approaches and new directionsClustered environments and randomized genes: a fundamental distinction between conventional and genetic epidemiologyGenome-wide interaction study of smoking and bladder cancer riskDesign and analysis issues in gene and environment studiesDeveloping and evaluating polygenic risk prediction models for stratified disease prevention.Evidence of gene-gene interaction and age-at-diagnosis effects in type 1 diabetes.Likelihood ratio test for detecting gene (G)-environment (E) interactions under an additive risk model exploiting G-E independence for case-control data.Using the Whole Cohort in the Analysis of Case-Control Data: Application to the Women's Health Initiative.Semiparametric Bayesian analysis of case-control data under conditional gene-environment independence.Bayesian mixture modeling of gene-environment and gene-gene interactionsA doubly robust test for gene-environment interaction in family-based studies of affected offspring.Endothelial nitric oxide synthase gene Glu298Asp polymorphism in patients with coronary artery disease.Bayesian inference of gene-environment interaction from incomplete data: what happens when information on environment is disjoint from data on gene and disease?Is there evidence for aetiologically distinct subgroups of idiopathic congenital talipes equinovarus? A case-only study and pedigree analysis.Gene--environment-wide association studies: emerging approachesNo evidence of association or interaction between the IL4RA, IL4, and IL13 genes in type 1 diabetesThe role of environmental heterogeneity in meta-analysis of gene-environment interactions with quantitative traitsSemiparametric estimation exploiting covariate independence in two-phase randomized trials.Estimating risks and relative risks in case-base studies under the assumptions of gene-environment independence and Hardy-Weinberg equilibrium.X-linked genes and risk of orofacial clefts: evidence from two population-based studies in Scandinavia.Gene-environment interactions in human diseases.The semiparametric case-only estimatorNAT2 slow acetylation, GSTM1 null genotype, and risk of bladder cancer: results from the Spanish Bladder Cancer Study and meta-analysesGene-environment interactions between JAZF1 and occupational and household lead exposure in prostate cancer among African American men.Genome-wide meta-analysis of joint tests for genetic and gene-environment interaction effectsLarge-scale exploration of gene-gene interactions in prostate cancer using a multistage genome-wide association study.On information coded in gene-environment independence in case-control studiesFUT2 nonsecretor status links type 1 diabetes susceptibility and resistance to infectionApplication of a novel score test for genetic association incorporating gene-gene interaction suggests functionality for prostate cancer susceptibility regions.Testing gene-environment interaction in large-scale case-control association studies: possible choices and comparisons.Risk Classification with an Adaptive Naive Bayes Kernel Machine Model.Detecting gene-environment interactions in human birth defects: Study designs and statistical methods.Using shared genetic controls in studies of gene-environment interactionsGene-environment interaction testing in family-based association studies with phenotypically ascertained samples: a causal inference approach.Efficient designs of gene-environment interaction studies: implications of Hardy-Weinberg equilibrium and gene-environment independenceSRD5A2 and HSD3B2 polymorphisms are associated with prostate cancer risk and aggressiveness.Simultaneously testing for marginal genetic association and gene-environment interactionPseudo semiparametric maximum likelihood estimation exploiting gene environment independence for population-based case-control studies with complex samples
P2860
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P2860
Designing and analysing case-control studies to exploit independence of genotype and exposure.
description
1997 nî lūn-bûn
@nan
1997年の論文
@ja
1997年論文
@yue
1997年論文
@zh-hant
1997年論文
@zh-hk
1997年論文
@zh-mo
1997年論文
@zh-tw
1997年论文
@wuu
1997年论文
@zh
1997年论文
@zh-cn
name
Designing and analysing case-c ...... ence of genotype and exposure.
@en
type
label
Designing and analysing case-c ...... ence of genotype and exposure.
@en
prefLabel
Designing and analysing case-c ...... ence of genotype and exposure.
@en
P1476
Designing and analysing case-c ...... ence of genotype and exposure.
@en
P2093
Weinberg CR
P304
P356
10.1002/(SICI)1097-0258(19970815)16:15<1731::AID-SIM595>3.0.CO;2-S
P407
P577
1997-08-01T00:00:00Z