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Volumn 31, Issue 22, 2012, Pages 2565-2568

A discussion of gene-gene and gene-environment interactions and longitudinal genetic analysis of complex traits

Author keywords

[No Author keywords available]

Indexed keywords

BLADDER CANCER; CONFOUNDING VARIABLE; ENVIRONMENTAL FACTOR; GENE GENE INTERACTION; GENE INTERACTION; GENETIC ANALYSIS; GENETIC LINKAGE; GENETIC TRAIT; GENOTYPE ENVIRONMENT INTERACTION; HUMAN; LOGISTIC REGRESSION ANALYSIS; LONGITUDINAL STUDY; NONLINEAR SYSTEM; NOTE; PHENOTYPE; RANDOM SAMPLE; SENSITIVITY ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL PARAMETERS;

EID: 84866167952     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.5495     Document Type: Note
Times cited : (10)

References (27)
  • 2
  • 3
    • 0030333453 scopus 로고    scopus 로고
    • Who's afraid of epistasis?
    • Frankel WN, Schork NJ. Who's afraid of epistasis? Nature Genetics 1996; 14(4):371-373.
    • (1996) Nature Genetics , vol.14 , Issue.4 , pp. 371-373
    • Frankel, W.N.1    Schork, N.J.2
  • 7
    • 84866151703 scopus 로고    scopus 로고
    • Efficient designs of gene-environment interactions studies: implications of Hardy-Weinberg equilibrium and gene-environment independence
    • Chen J, Kang G, Vanderweele T, Zhang C, B Mukherjee B. Efficient designs of gene-environment interactions studies: implications of Hardy-Weinberg equilibrium and gene-environment independence, 2012.
    • (2012)
    • Chen, J.1    Kang, G.2    Vanderweele, T.3    Zhang, C.4    B Mukherjee, B.5
  • 8
    • 84866152865 scopus 로고    scopus 로고
    • Sensitivity analysis for interactions under unmeasured confounding
    • Vanderweele T, Mukherjee B, Chen JB. Sensitivity analysis for interactions under unmeasured confounding, 2012.
    • (2012)
    • Vanderweele, T.1    Mukherjee, B.2    Chen, J.B.3
  • 9
    • 84866152866 scopus 로고    scopus 로고
    • Principal interactions analysis for repeated measures data: application to gene-gene, gene-environment interactions
    • Mukherjee B, Ko Y, Vanderweele T, Roy A, Park SK, Chen JB. Principal interactions analysis for repeated measures data: application to gene-gene, gene-environment interactions, 2012.
    • (2012)
    • Mukherjee, B.1    Ko, Y.2    Vanderweele, T.3    Roy, A.4    Park, S.K.5    Chen, J.B.6
  • 10
    • 84971185409 scopus 로고
    • The correlations between relatives on the supposition of Mendelian inheritance
    • Fisher RA. The correlations between relatives on the supposition of Mendelian inheritance. Transactions of the Royal Society of Edinburgh 1918; 52:399-433.
    • (1918) Transactions of the Royal Society of Edinburgh , vol.52 , pp. 399-433
    • Fisher, R.A.1
  • 11
    • 0037433052 scopus 로고    scopus 로고
    • Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions
    • Hahn LW, Ritchie MD, Moore JH. Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions. Bioinformatics 2003; 19(3):376-382.
    • (2003) Bioinformatics , vol.19 , Issue.3 , pp. 376-382
    • Hahn, L.W.1    Ritchie, M.D.2    Moore, J.H.3
  • 12
    • 33745599582 scopus 로고    scopus 로고
    • A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility
    • Moore JH, Gilbert JC, Tsai CT, Chiang FT, Holden T, Barney N, White BC. A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility. Journal of Theoretical Biology 2006; 241(2): 252-261.
    • (2006) Journal of Theoretical Biology , vol.241 , Issue.2 , pp. 252-261
    • Moore, J.H.1    Gilbert, J.C.2    Tsai, C.T.3    Chiang, F.T.4    Holden, T.5    Barney, N.6    White, B.C.7
  • 14
    • 0642368712 scopus 로고    scopus 로고
    • Optimization of neural network architecture using genetic programming improves detection and modeling of gene-gene interactions in studies of human diseases
    • Ritchie MD, White BC, Parker JS, Hahn LW, Moore JH. Optimization of neural network architecture using genetic programming improves detection and modeling of gene-gene interactions in studies of human diseases. BMC. Bioinformatics. 2003; 4:28.
    • (2003) BMC. Bioinformatics. , vol.4 , pp. 28
    • Ritchie, M.D.1    White, B.C.2    Parker, J.S.3    Hahn, L.W.4    Moore, J.H.5
  • 15
    • 0037310257 scopus 로고    scopus 로고
    • Power of multifactor dimensionality reduction for detecting gene-gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity
    • Ritchie MD, Hahn LW, Moore JH. Power of multifactor dimensionality reduction for detecting gene-gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity. Genetic Epidemiology 2003; 24(2):150-157.
    • (2003) Genetic Epidemiology , vol.24 , Issue.2 , pp. 150-157
    • Ritchie, M.D.1    Hahn, L.W.2    Moore, J.H.3
  • 16
    • 37249080278 scopus 로고    scopus 로고
    • Penalized logistic regression for detecting gene interactions
    • Park MY, Hastie T. Penalized logistic regression for detecting gene interactions. Biostatistics 2008; 9(1):30-50.
    • (2008) Biostatistics , vol.9 , Issue.1 , pp. 30-50
    • Park, M.Y.1    Hastie, T.2
  • 17
    • 33646187199 scopus 로고    scopus 로고
    • Concordance of multiple analytical approaches demonstrates a complex relationship between DNA repair gene SNPs, smoking and bladder cancer susceptibility
    • Andrew AS, Nelson HH, Kelsey KT, Moore JH, Meng AC, Casella DP, Tosteson TD, Schned AR, Karagas MR. Concordance of multiple analytical approaches demonstrates a complex relationship between DNA repair gene SNPs, smoking and bladder cancer susceptibility. Carcinogenesis 2006; 27(5):1030-1037.
    • (2006) Carcinogenesis , vol.27 , Issue.5 , pp. 1030-1037
    • Andrew, A.S.1    Nelson, H.H.2    Kelsey, K.T.3    Moore, J.H.4    Meng, A.C.5    Casella, D.P.6    Tosteson, T.D.7    Schned, A.R.8    Karagas, M.R.9
  • 18
    • 84856043672 scopus 로고
    • A mathematical theory of communications
    • 623-656.
    • Shannon CE. A mathematical theory of communications. The Bell System Technical Journal 1948; XXVII:379-423, 623-656.
    • (1948) The Bell System Technical Journal , vol.27 , pp. 379-423
    • Shannon, C.E.1
  • 20
    • 80054755102 scopus 로고    scopus 로고
    • Entropy-based information gain approaches to detect and to characterize gene-gene and gene-environment interactions/correlations of complex diseases
    • Fan R, Zhong M, Wang S, Zhang Y, Andrew A, Karagas M, Chen H, Amos CI, Xiong M, Moore JH. Entropy-based information gain approaches to detect and to characterize gene-gene and gene-environment interactions/correlations of complex diseases. Genetic Epidemiology 2011; 35(7):706-721.
    • (2011) Genetic Epidemiology , vol.35 , Issue.7 , pp. 706-721
    • Fan, R.1    Zhong, M.2    Wang, S.3    Zhang, Y.4    Andrew, A.5    Karagas, M.6    Chen, H.7    Amos, C.I.8    Xiong, M.9    Moore, J.H.10
  • 21
    • 37349001288 scopus 로고    scopus 로고
    • An entropy-based approach for testing genetic epistasis underlying complex diseases
    • Kang G, Yue W, Zhang J, Cui Y, Zuo Y, Zhang D. An entropy-based approach for testing genetic epistasis underlying complex diseases. Journal of Theoretical Biology 2008; 250(2):362-374.
    • (2008) Journal of Theoretical Biology , vol.250 , Issue.2 , pp. 362-374
    • Kang, G.1    Yue, W.2    Zhang, J.3    Cui, Y.4    Zuo, Y.5    Zhang, D.6
  • 22
    • 0033770421 scopus 로고    scopus 로고
    • Evidence for a gene influencing blood pressure on chromosome 17. Genome scan linkage results for longitudinal blood pressure phenotypes in subjects from the Framingham heart study
    • Levy D, DeStefano AL, Larson MG, O'Donnell CJ, Lifton RP, Gavras H, Cupples LA, Myers RH. Evidence for a gene influencing blood pressure on chromosome 17. Genome scan linkage results for longitudinal blood pressure phenotypes in subjects from the Framingham heart study. Hypertension 2000; 36(4):477-483.
    • (2000) Hypertension , vol.36 , Issue.4 , pp. 477-483
    • Levy, D.1    DeStefano, A.L.2    Larson, M.G.3    O'Donnell, C.J.4    Lifton, R.P.5    Gavras, H.6    Cupples, L.A.7    Myers, R.H.8
  • 23
    • 38149065311 scopus 로고    scopus 로고
    • Ignoring temporal trends in genetic effects substantially reduces power of quantitative trait linkage analysis
    • Shi G, Rao DC. Ignoring temporal trends in genetic effects substantially reduces power of quantitative trait linkage analysis. Genetic Epidemiology 2008; 32(1):61-72.
    • (2008) Genetic Epidemiology , vol.32 , Issue.1 , pp. 61-72
    • Shi, G.1    Rao, D.C.2
  • 24
    • 0036128641 scopus 로고    scopus 로고
    • Extension of variance components approach to incorporate temporal trends and longitudinal pedigree data analysis
    • deAndrade M, Gueguen R, Visvikis S, Sass C, Siest G, Amos CI. Extension of variance components approach to incorporate temporal trends and longitudinal pedigree data analysis. Genetic Epidemiology 2002; 22(3):221-232.
    • (2002) Genetic Epidemiology , vol.22 , Issue.3 , pp. 221-232
    • deAndrade, M.1    Gueguen, R.2    Visvikis, S.3    Sass, C.4    Siest, G.5    Amos, C.I.6
  • 25
    • 34248658239 scopus 로고    scopus 로고
    • Comparison of longitudinal variance components and regression-based approaches for linkage detection on chromosome 17 for systolic blood pressure
    • deAndrade M, Olswold C. Comparison of longitudinal variance components and regression-based approaches for linkage detection on chromosome 17 for systolic blood pressure. BMC Genetics 2003; 4(Suppl 1):S17.
    • (2003) BMC Genetics , vol.4 , Issue.SUPPL. 1
    • deAndrade, M.1    Olswold, C.2
  • 26
    • 33747605762 scopus 로고    scopus 로고
    • Linkage analysis of longitudinal data and design consideration
    • Zhang H, Zhong X. Linkage analysis of longitudinal data and design consideration. BMC Genetics 2006; 7:37.
    • (2006) BMC Genetics , vol.7 , pp. 37
    • Zhang, H.1    Zhong, X.2
  • 27
    • 84856039615 scopus 로고    scopus 로고
    • Flexible semiparametric analysis of longitudinal genetic studies by reduced rank smoothing
    • Wang Y, Huang C, Fang Y, Yang Q, Li R. Flexible semiparametric analysis of longitudinal genetic studies by reduced rank smoothing. Applied Statistics 2012; 61:1-23.
    • (2012) Applied Statistics , vol.61 , pp. 1-23
    • Wang, Y.1    Huang, C.2    Fang, Y.3    Yang, Q.4    Li, R.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.