메뉴 건너뛰기




Volumn 14, Issue 4, 2013, Pages 667-681

Test for interactions between a genetic marker set and environment in generalized linear models

Author keywords

Asymptotic bias analysis; Gene environment interactions; Genome wide association studies; Score statistic; Single nucleotide polymorphism; Variance component test

Indexed keywords

ARTICLE; ASYMPTOTIC BIAS ANALYSIS; BIOLOGICAL MODEL; COMPUTER SIMULATION; FEMALE; GENE-ENVIRONMENT INTERACTIONS; GENETIC MARKER; GENETIC PREDISPOSITION; GENETICS; GENOME-WIDE ASSOCIATION STUDIES; GENOTYPE ENVIRONMENT INTERACTION; HUMAN; LUNG TUMOR; MALE; SCORE STATISTIC; SINGLE NUCLEOTIDE POLYMORPHISM; SINGLE-NUCLEOTIDE POLYMORPHISM; SMOKING; STATISTICAL MODEL; VARIANCE COMPONENT TEST;

EID: 84885870289     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxt006     Document Type: Article
Times cited : (86)

References (18)
  • 2
    • 0001008882 scopus 로고
    • The distribution of a linear combination of chi-square random variables
    • DAVIES, R. (1980). The distribution of a linear combination of chi-square random variables. Applied Statistics 29, 323-333.
    • (1980) Applied Statistics , vol.29 , pp. 323-333
    • Davies, R.1
  • 4
    • 43249090541 scopus 로고    scopus 로고
    • A multiple testing correction method for genetic association studies using correlated single nucleotide polymorphisms
    • DOI 10.1002/gepi.20310
    • GAO, X., STARMER, J. AND MARTIN, E. R. (2008). A multiple testing correction method for genetic association studies using correlated single nucleotide polymorphisms. Genetic Epidemiology 32, 361-369. (Pubitemid 351656307)
    • (2008) Genetic Epidemiology , vol.32 , Issue.4 , pp. 361-369
    • Gao, X.1    Starmer, J.2    Martin, E.R.3
  • 5
    • 84867614472 scopus 로고    scopus 로고
    • Powerful cocktail methods for detecting genome-wide gene-environment interaction
    • HSU, L., JIAO, S., DAI, J. Y., HUTTER, C., PETERS, U. AND KOOPERBERG, C. (2012). Powerful cocktail methods for detecting genome-wide gene-environment interaction. Genetic Epidemiology 36, 183-194.
    • (2012) Genetic Epidemiology , vol.36 , pp. 183-194
    • Hsu, L.1    Jiao, S.2    Dai, J.Y.3    Hutter, C.4    Peters, U.5    Kooperberg, C.6
  • 7
    • 0000072057 scopus 로고    scopus 로고
    • Variance component testing in generalised linear models with random effects
    • LIN, X. (1997). Variance component testing in generalised linear models with random effects. Biometrika 84, 309-326.
    • (1997) Biometrika , vol.84 , pp. 309-326
    • Lin, X.1
  • 9
    • 49749089301 scopus 로고    scopus 로고
    • Exploiting gene-environment independence for analysis of case-control studies: An empirical bayes-type shrinkage estimator to trade-off between bias and efficiency
    • MUKHERJEE, B. AND CHATTERJEE, N. (2008). Exploiting gene-environment independence for analysis of case-control studies: an empirical bayes-type shrinkage estimator to trade-off between bias and efficiency. Biometrics 64, 685-694.
    • (2008) Biometrics , vol.64 , pp. 685-694
    • Mukherjee, B.1    Chatterjee, N.2
  • 10
    • 79952494521 scopus 로고    scopus 로고
    • Sample size requirements to detect gene-environment interactions in genome-wide association studies
    • MURCRAY, C. E., LEWINGER, J. P.,CONTI, D. V., THOMAS, D. C. AND GAUDERMAN, W. J. (2011). Sample size requirements to detect gene-environment interactions in genome-wide association studies. Genetic Epidemiology 35, 201-210.
    • (2011) Genetic Epidemiology , vol.35 , pp. 201-210
    • Murcray, C.E.1    Lewinger, J.P.2    Conti, D.V.3    Thomas, D.C.4    Gauderman, W.J.5
  • 13
    • 35348887757 scopus 로고    scopus 로고
    • Haplotype-based association analysis via variance-components score test
    • DOI 10.1086/521558
    • TZENG, J. Y. AND ZHANG, D. (2007). Haplotype-based association analysis via variance-components score test. The American Journal of Human Genetics 81, 927-938. (Pubitemid 47580247)
    • (2007) American Journal of Human Genetics , vol.81 , Issue.5 , pp. 927-938
    • Tzeng, J.-Y.1    Zhang, D.2
  • 16
    • 84866180516 scopus 로고    scopus 로고
    • Sensitivity analysis for interactions under unmeasured confounding
    • VANDERWEELE, T. J.,MUKHERJEE, B. AND CHEN, J. (2012b). Sensitivity analysis for interactions under unmeasured confounding. Statistics in Medicine 31, 2552-2564.
    • (2012) Statistics in Medicine , vol.31 , pp. 2552-2564
    • Vanderweele, T.J.1    Mukherjee, B.2    Chen, J.3
  • 18
    • 0141767032 scopus 로고    scopus 로고
    • Hypothesis testing in semiparametric additive mixed models
    • DOI 10.1093/biostatistics/4.1.57
    • ZHANG, D. AND LIN, X. (2003). Hypothesis testing in semiparametric additive mixed models. Biostatistics 4, 57-74. (Pubitemid 36116888)
    • (2003) Biostatistics Oxford , vol.4 , Issue.1 , pp. 57-74
    • Zhang, D.1    Lin, X.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.