메뉴 건너뛰기




Volumn 41, Issue 3, 2012, Pages 686-704

Recommendations and proposed guidelines for assessing the cumulative evidence on joint effects of genes and environments on cancer occurrence in humans

(11)  Boffetta, Paolo a,b   Winn, Deborah M c   Ioannidis, John P d,e,f,g   Thomas, Duncan C h   Little, Julian i   Smith, George Davey j   Cogliano, Vincent J k   Hecht, Stephen S l   Seminara, Daniela c   Vineis, Paolo m,n   Khoury, Muin J o  


Author keywords

Environment; Evaluations; Genetics; Interactions

Indexed keywords

CANCER; EPIDEMIOLOGY; GENETIC VARIATION; GENOTYPE-ENVIRONMENT INTERACTION; GUIDELINE; HEALTH RISK; NUMERICAL MODEL; POLYMORPHISM; PUBLIC HEALTH; RISK FACTOR; SMOKING; TOBACCO;

EID: 84864513556     PISSN: 03005771     EISSN: 14643685     Source Type: Journal    
DOI: 10.1093/ije/dys010     Document Type: Article
Times cited : (41)

References (118)
  • 1
    • 77951585057 scopus 로고    scopus 로고
    • Architecture of inherited susceptibility to common cancer
    • Fletcher O, Houlston RS. Architecture of inherited susceptibility to common cancer. Nat Rev Cancer 2010;10: 353-61.
    • (2010) Nat Rev Cancer , vol.10 , pp. 353-361
    • Fletcher, O.1    Houlston, R.S.2
  • 2
    • 78650740316 scopus 로고    scopus 로고
    • International Agency for Research on Cancer. Lyon, France: International Agency for Research on Cancer
    • International Agency for Research on Cancer. Preamble to the IARC Monographs (amended January 2006). Lyon, France: International Agency for Research on Cancer, 2009.
    • (2009) Preamble to the IARC Monographs (amended January 2006)
  • 4
    • 38949094880 scopus 로고    scopus 로고
    • Assessment of cumulative evidence on genetic associations: interim guidelines
    • Ioannidis JP, Boffetta P, Little J et al. Assessment of cumulative evidence on genetic associations: interim guidelines. Int J Epidemiol 2008;37:120-32.
    • (2008) Int J Epidemiol , vol.37 , pp. 120-132
    • Ioannidis, J.P.1    Boffetta, P.2    Little, J.3
  • 5
    • 65249134005 scopus 로고    scopus 로고
    • 5th edn. New York: Oxford University Press
    • Porta M. A Dictionary of Epidemiology. 5th edn. New York: Oxford University Press, 2008, pp. 1-289.
    • (2008) A Dictionary of Epidemiology , pp. 1-289
    • Porta, M.1
  • 6
    • 57049099673 scopus 로고    scopus 로고
    • Less is more, except when less is less: studying joint effects
    • Weinberg CR. Less is more, except when less is less: studying joint effects. Genomics 2009;93:10-12.
    • (2009) Genomics , vol.93 , pp. 10-12
    • Weinberg, C.R.1
  • 7
    • 77949772292 scopus 로고    scopus 로고
    • Gene-environment-wide association studies: emerging approaches
    • Thomas D. Gene-environment-wide association studies: emerging approaches. Nat Rev Genet 2010;11:259-72.
    • (2010) Nat Rev Genet , vol.11 , pp. 259-272
    • Thomas, D.1
  • 8
    • 68249108329 scopus 로고    scopus 로고
    • Prediction and interaction in complex disease genetics: experience in type 1 diabetes
    • Clayton DG. Prediction and interaction in complex disease genetics: experience in type 1 diabetes. PLoS Genet 2009;5:e1000540.
    • (2009) PLoS Genet , vol.5
    • Clayton, D.G.1
  • 9
    • 0030296970 scopus 로고    scopus 로고
    • Gene-environment interaction: definitions and study designs
    • Ottman R. Gene-environment interaction: definitions and study designs. Prev Med 1996;25:764-70.
    • (1996) Prev Med , vol.25 , pp. 764-770
    • Ottman, R.1
  • 11
    • 0000794036 scopus 로고
    • The interaction of nature and nurture
    • Haldane JB. The interaction of nature and nurture. Ann Eugenics 1946;13:197-205.
    • (1946) Ann Eugenics , vol.13 , pp. 197-205
    • Haldane, J.B.1
  • 14
    • 0035922669 scopus 로고    scopus 로고
    • Epidemiological methods for studying genes and environmental factors in complex diseases
    • Clayton D, McKeigue PM. Epidemiological methods for studying genes and environmental factors in complex diseases. Lancet 2001;358:1356-60.
    • (2001) Lancet , vol.358 , pp. 1356-1360
    • Clayton, D.1    McKeigue, P.M.2
  • 15
    • 0035668503 scopus 로고    scopus 로고
    • Combined effects of well-done red meat, smoking, and rapid N-acetyltransferase 2 and CYP1A2 phenotypes in increasing colorectal cancer risk
    • Le Marchand L, Hankin JH, Wilkens LR et al. Combined effects of well-done red meat, smoking, and rapid N-acetyltransferase 2 and CYP1A2 phenotypes in increasing colorectal cancer risk. Cancer Epidemiol Biomarkers Prev 2001;10:1259-66.
    • (2001) Cancer Epidemiol Biomarkers Prev , vol.10 , pp. 1259-1266
    • Le Marchand, L.1    Hankin, J.H.2    Wilkens, L.R.3
  • 16
    • 2342497705 scopus 로고    scopus 로고
    • Tree and spline based association analysis of gene-gene interaction models for ischemic stroke
    • Cook NR, Zee RY, Ridker PM. Tree and spline based association analysis of gene-gene interaction models for ischemic stroke. Stat Med 2004;23:1439-53.
    • (2004) Stat Med , vol.23 , pp. 1439-1453
    • Cook, N.R.1    Zee, R.Y.2    Ridker, P.M.3
  • 17
    • 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: 376-82.
    • (2003) Bioinformatics , vol.19 , pp. 376-382
    • Hahn, L.W.1    Ritchie, M.D.2    Moore, J.H.3
  • 18
    • 28444434756 scopus 로고    scopus 로고
    • Multifactor dimensionality reduction for detecting gene-gene and gene-environment interactions in pharmacogenomics studies
    • Ritchie MD, Motsinger AA. Multifactor dimensionality reduction for detecting gene-gene and gene-environment interactions in pharmacogenomics studies. Pharmacogenomics 2005;6:823-34.
    • (2005) Pharmacogenomics , vol.6 , pp. 823-834
    • Ritchie, M.D.1    Motsinger, A.A.2
  • 19
    • 29244467388 scopus 로고    scopus 로고
    • A testing framework for identifying susceptibility genes in the presence of epistasis
    • Millstein J, Conti DV, Gilliland FD, Gauderman WJ. A testing framework for identifying susceptibility genes in the presence of epistasis. Am J Hum Genet 2006;78: 15-27.
    • (2006) Am J Hum Genet , vol.78 , pp. 15-27
    • Millstein, J.1    Conti, D.V.2    Gilliland, F.D.3    Gauderman, W.J.4
  • 20
    • 37249085147 scopus 로고    scopus 로고
    • Identification of SNP interactions using logic regression
    • Schwender H, Ickstadt K. Identification of SNP interactions using logic regression. Biostatistics 2008;9:187-98.
    • (2008) Biostatistics , vol.9 , pp. 187-198
    • Schwender, H.1    Ickstadt, K.2
  • 21
    • 33644747451 scopus 로고    scopus 로고
    • GPNN: power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease
    • Motsinger AA, Lee SL, Mellick G, Ritchie MD. GPNN: power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease. BMC Bioinformatics 2006;7:39.
    • (2006) BMC Bioinformatics , vol.7 , pp. 39
    • Motsinger, A.A.1    Lee, S.L.2    Mellick, G.3    Ritchie, M.D.4
  • 22
    • 39649099379 scopus 로고    scopus 로고
    • A support vector machine approach for detecting gene-gene interaction
    • Chen SH, Sun J, Dimitrov L et al. A support vector machine approach for detecting gene-gene interaction. Genet Epidemiol 2008;32:152-67.
    • (2008) Genet Epidemiol , vol.32 , pp. 152-167
    • Chen, S.H.1    Sun, J.2    Dimitrov, L.3
  • 23
    • 77951497455 scopus 로고    scopus 로고
    • Methods for investigating gene-environment interactions in candidate pathway and genome-wide association studies
    • Thomas D. Methods for investigating gene-environment interactions in candidate pathway and genome-wide association studies. Annu Rev Public Health 2010;31:21-36.
    • (2010) Annu Rev Public Health , vol.31 , pp. 21-36
    • Thomas, D.1
  • 24
    • 0028073159 scopus 로고
    • Hierarchical regression for epidemiologic analyses of multiple exposures
    • Greenland S. Hierarchical regression for epidemiologic analyses of multiple exposures. Environ Health Perspect 1994;102(Suppl 8):33-39.
    • (1994) Environ Health Perspect , vol.102 , Issue.SUPPL 8 , pp. 33-39
    • Greenland, S.1
  • 25
    • 0031458790 scopus 로고    scopus 로고
    • Genetic analysis with hierarchical models
    • Witte JS. Genetic analysis with hierarchical models. Genet Epidemiol 1997;14:1137-42.
    • (1997) Genet Epidemiol , vol.14 , pp. 1137-1142
    • Witte, J.S.1
  • 26
    • 2942586810 scopus 로고    scopus 로고
    • Using hierarchical modeling in genetic association studies with multiple markers: application to a case-control study of bladder cancer
    • Hung RJ, Brennan P, Malaveille C et al. Using hierarchical modeling in genetic association studies with multiple markers: application to a case-control study of bladder cancer. Cancer Epidemiol Biomarkers Prev 2004;13:1013-21.
    • (2004) Cancer Epidemiol Biomarkers Prev , vol.13 , pp. 1013-1021
    • Hung, R.J.1    Brennan, P.2    Malaveille, C.3
  • 27
    • 41649103682 scopus 로고    scopus 로고
    • A susceptibility locus for lung cancer maps to nicotinic acetylcholine receptor subunit genes on 15q25
    • Hung RJ, McKay JD, Gaborieau V et al. A susceptibility locus for lung cancer maps to nicotinic acetylcholine receptor subunit genes on 15q25. Nature 2008;452:633-37.
    • (2008) Nature , vol.452 , pp. 633-637
    • Hung, R.J.1    McKay, J.D.2    Gaborieau, V.3
  • 28
    • 42949142569 scopus 로고    scopus 로고
    • The use of hierarchical models for estimating relative risks of individual genetic variants: an application to a study of melanoma
    • Capanu M, Orlow I, Berwick M, Hummer AJ, Thomas DC, Begg CB. The use of hierarchical models for estimating relative risks of individual genetic variants: an application to a study of melanoma. Stat Med 2008;27: 1973-92.
    • (2008) Stat Med , vol.27 , pp. 1973-1992
    • Capanu, M.1    Orlow, I.2    Berwick, M.3    Hummer, A.J.4    Thomas, D.C.5    Begg, C.B.6
  • 29
    • 3442879338 scopus 로고    scopus 로고
    • Assessing the function of genetic variants in candidate gene association studies
    • Rebbeck TR, Spitz M, Wu X. Assessing the function of genetic variants in candidate gene association studies. Nat Rev Genet 2004;5:589-97.
    • (2004) Nat Rev Genet , vol.5 , pp. 589-597
    • Rebbeck, T.R.1    Spitz, M.2    Wu, X.3
  • 30
    • 33846796225 scopus 로고    scopus 로고
    • Ontology annotation: mapping genomic regions to biological function
    • Thomas PD, Mi H, Lewis S. Ontology annotation: mapping genomic regions to biological function. Curr Opin Chem Biol 2007;11:4-11.
    • (2007) Curr Opin Chem Biol , vol.11 , pp. 4-11
    • Thomas, P.D.1    Mi, H.2    Lewis, S.3
  • 31
    • 75649136956 scopus 로고    scopus 로고
    • Bayesian mixture modeling of gene-environment and gene-gene interactions
    • Wakefield J, De VF, Hung RJ. Bayesian mixture modeling of gene-environment and gene-gene interactions. Genet Epidemiol 2010;34:16-25.
    • (2010) Genet Epidemiol , vol.34 , pp. 16-25
    • Wakefield, J.1    De, V.F.2    Hung, R.J.3
  • 33
    • 12744269194 scopus 로고    scopus 로고
    • Identifying interacting SNPs using Monte Carlo logic regression
    • Kooperberg C, Ruczinski I. Identifying interacting SNPs using Monte Carlo logic regression. Genet Epidemiol 2005; 28:157-70.
    • (2005) Genet Epidemiol , vol.28 , pp. 157-170
    • Kooperberg, C.1    Ruczinski, I.2
  • 35
    • 34547788766 scopus 로고    scopus 로고
    • Enriching the analysis of genomewide association studies with hierarchical modeling
    • Chen GK, Witte JS. Enriching the analysis of genomewide association studies with hierarchical modeling. Am J Hum Genet 2007;81:397-404.
    • (2007) Am J Hum Genet , vol.81 , pp. 397-404
    • Chen, G.K.1    Witte, J.S.2
  • 36
    • 38049023107 scopus 로고    scopus 로고
    • Hierarchical Bayes prioritization of marker associations from a genome-wide association scan for further investigation
    • Lewinger JP, Conti DV, Baurley JW, Triche TJ, Thomas DC. Hierarchical Bayes prioritization of marker associations from a genome-wide association scan for further investigation. Genet Epidemiol 2007;31:871-82.
    • (2007) Genet Epidemiol , vol.31 , pp. 871-882
    • Lewinger, J.P.1    Conti, D.V.2    Baurley, J.W.3    Triche, T.J.4    Thomas, D.C.5
  • 38
    • 1842851781 scopus 로고    scopus 로고
    • Toxicological considerations in the application and interpretation of susceptibility biomarkers in epidemiological studies
    • De Roos AJ, Smith MT, Chanock S, Rothman N. Toxicological considerations in the application and interpretation of susceptibility biomarkers in epidemiological studies. IARC Sci Publ 2004;157:105-25.
    • (2004) IARC Sci Publ , vol.157 , pp. 105-125
    • De Roos, A.J.1    Smith, M.T.2    Chanock, S.3    Rothman, N.4
  • 39
    • 33745427131 scopus 로고    scopus 로고
    • Tracking the epidemiology of human genes in the literature: the HuGE Published Literature database
    • Lin BK, Clyne M, Walsh M et al. Tracking the epidemiology of human genes in the literature: the HuGE Published Literature database. Am J Epidemiol 2006;164: 1-4.
    • (2006) Am J Epidemiol , vol.164 , pp. 1-4
    • Lin, B.K.1    Clyne, M.2    Walsh, M.3
  • 41
    • 0031748951 scopus 로고    scopus 로고
    • Statistical methods for population pharmacokinetic modelling
    • Racine-Poon A, Wakefield J. Statistical methods for population pharmacokinetic modelling. Stat Methods Med Res 1998;7:63-84.
    • (1998) Stat Methods Med Res , vol.7 , pp. 63-84
    • Racine-Poon, A.1    Wakefield, J.2
  • 42
    • 0001880068 scopus 로고    scopus 로고
    • The Bayesian analysis of population pharmacokinetic models
    • Wakefield J. The Bayesian analysis of population pharmacokinetic models. J Am Stat Assoc 1996;91:62-75.
    • (1996) J Am Stat Assoc , vol.91 , pp. 62-75
    • Wakefield, J.1
  • 43
    • 1842840855 scopus 로고    scopus 로고
    • Toxicokinetic genetics: an approach to gene-environment and gene-gene interactions in complex metabolic pathways
    • Cortessis V, Thomas DC. Toxicokinetic genetics: an approach to gene-environment and gene-gene interactions in complex metabolic pathways. IARC Sci Publ 2004;157: 127-50.
    • (2004) IARC Sci Publ , vol.157 , pp. 127-150
    • Cortessis, V.1    Thomas, D.C.2
  • 44
    • 0035878822 scopus 로고    scopus 로고
    • Bayesian analysis of the influence of GSTT1 polymorphism on the cancer risk estimate for dichloromethane
    • Jonsson F, Johanson G. A Bayesian analysis of the influence of GSTT1 polymorphism on the cancer risk estimate for dichloromethane. Toxicol Appl Pharmacol 2001;174: 99-112.
    • (2001) Toxicol Appl Pharmacol , vol.174 , pp. 99-112
    • Jonsson, F.1    Johanson, G.A.2
  • 45
    • 84965187257 scopus 로고
    • The age distribution of cancer and a multi-stage theory of carcinogenesis
    • Armitage P, Doll R. The age distribution of cancer and a multi-stage theory of carcinogenesis. Br J Cancer 1954;8: 1-12.
    • (1954) Br J Cancer , vol.8 , pp. 1-12
    • Armitage, P.1    Doll, R.2
  • 46
    • 0019467329 scopus 로고
    • Mutation and cancer: a model for human carcinogenesis
    • Moolgavkar SH, Knudson AG Jr. Mutation and cancer: a model for human carcinogenesis. J Natl Cancer Inst 1981; 66:1037-52.
    • (1981) J Natl Cancer Inst , vol.66 , pp. 1037-1052
    • Moolgavkar, S.H.1    Knudson Jr, A.G.2
  • 47
    • 33847318296 scopus 로고    scopus 로고
    • Stochastic modelling of colon cancer: is there a role for genomic instability?
    • Little MP, Li G. Stochastic modelling of colon cancer: is there a role for genomic instability? Carcinogenesis 2007; 28:479-87.
    • (2007) Carcinogenesis , vol.28 , pp. 479-487
    • Little, M.P.1    Li, G.2
  • 48
    • 0034267574 scopus 로고    scopus 로고
    • Genomic instability, bystander effects and radiation risks: implications for development of protection strategies for man and the environment
    • Mothersill C, Seymour C. Genomic instability, bystander effects and radiation risks: implications for development of protection strategies for man and the environment. Radiats Biol Radioecol 2000;40:615-20.
    • (2000) Radiats Biol Radioecol , vol.40 , pp. 615-620
    • Mothersill, C.1    Seymour, C.2
  • 49
    • 0025959790 scopus 로고
    • Effect modification and the limits of biological inference from epidemiologic data
    • Thompson WD. Effect modification and the limits of biological inference from epidemiologic data. J Clin Epidemiol 1991;44:221-32.
    • (1991) J Clin Epidemiol , vol.44 , pp. 221-232
    • Thompson, W.D.1
  • 50
    • 15944383403 scopus 로고    scopus 로고
    • Gene-environment interactions in human diseases
    • Hunter DJ. Gene-environment interactions in human diseases. Nat Rev Genet 2005;6:287-98.
    • (2005) Nat Rev Genet , vol.6 , pp. 287-298
    • Hunter, D.J.1
  • 51
    • 60149102060 scopus 로고    scopus 로고
    • Size matters: just how big is BIG?: quantifying realistic sample size requirements for human genome epidemiology
    • Burton PR, Hansell AL, Fortier I et al. Size matters: just how big is BIG?: quantifying realistic sample size requirements for human genome epidemiology. Int J Epidemiol 2009;38:263-73.
    • (2009) Int J Epidemiol , vol.38 , pp. 263-273
    • Burton, P.R.1    Hansell, A.L.2    Fortier, I.3
  • 52
    • 0242515957 scopus 로고    scopus 로고
    • The detection of gene-environment interaction for continuous traits: should we deal with measurement error by bigger studies or better measurement?
    • Wong MY, Day NE, Luan JA, Chan KP, Wareham NJ. The detection of gene-environment interaction for continuous traits: should we deal with measurement error by bigger studies or better measurement? Int J Epidemiol 2003;32: 51-57.
    • (2003) Int J Epidemiol , vol.32 , pp. 51-57
    • Wong, M.Y.1    Day, N.E.2    Luan, J.A.3    Chan, K.P.4    Wareham, N.J.5
  • 54
    • 52649129348 scopus 로고    scopus 로고
    • Systematic review of the empirical evidence of study publication bias and outcome reporting bias
    • Dwan K, Altman DG, Arnaiz JA et al. Systematic review of the empirical evidence of study publication bias and outcome reporting bias. PLoS One 2008;3:e3081.
    • (2008) PLoS One , vol.3
    • Dwan, K.1    Altman, D.G.2    Arnaiz, J.A.3
  • 55
    • 58449085469 scopus 로고    scopus 로고
    • From genome-wide association studies to gene-environment-wide interaction studies-challenges and opportunities
    • Khoury MJ, Wacholder S. From genome-wide association studies to gene-environment-wide interaction studies- challenges and opportunities. Am J Epidemiol 2009;169: 227-30.
    • (2009) Am J Epidemiol , vol.169 , pp. 227-230
    • Khoury, M.J.1    Wacholder, S.2
  • 56
    • 66149106310 scopus 로고    scopus 로고
    • When one depends on the other: reporting of interaction in case-control and cohort studies
    • Knol MJ, Egger M, Scott P, Geerlings MI, Vandenbroucke JP. When one depends on the other: reporting of interaction in case-control and cohort studies. Epidemiology 2009;20:161-66.
    • (2009) Epidemiology , vol.20 , pp. 161-166
    • Knol, M.J.1    Egger, M.2    Scott, P.3    Geerlings, M.I.4    Vandenbroucke, J.P.5
  • 57
    • 35648967542 scopus 로고    scopus 로고
    • Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration
    • Vandenbroucke JP, Von EE, Altman DG et al. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration. Ann Intern Med 2007;147:W163-94.
    • (2007) Ann Intern Med , vol.147
    • Vandenbroucke, J.P.1    Von, E.E.2    Altman, D.G.3
  • 58
    • 0028246715 scopus 로고
    • Statistical analysis of molecular epidemiology studies employing case-series
    • Begg CB, Zhang ZF. Statistical analysis of molecular epidemiology studies employing case-series. Cancer Epidemiol Biomarkers Prev 1994;3:173-75.
    • (1994) Cancer Epidemiol Biomarkers Prev , vol.3 , pp. 173-175
    • Begg, C.B.1    Zhang, Z.F.2
  • 59
    • 0029787622 scopus 로고    scopus 로고
    • Nontraditional epidemiologic approaches in the analysis of gene-environment interaction: case-control studies with no controls!
    • Khoury MJ, Flanders WD. Nontraditional epidemiologic approaches in the analysis of gene-environment interaction: case-control studies with no controls!. Am J Epidemiol 1996;144:207-13.
    • (1996) Am J Epidemiol , vol.144 , pp. 207-213
    • Khoury, M.J.1    Flanders, W.D.2
  • 60
    • 0028089404 scopus 로고
    • Non-hierarchical logistic models and case-only designs for assessing susceptibility in population-based case-control studies
    • Piegorsch WW, Weinberg CR, Taylor JA. Non-hierarchical logistic models and case-only designs for assessing susceptibility in population-based case-control studies. Stat Med 1994;13:153-62.
    • (1994) Stat Med , vol.13 , pp. 153-162
    • Piegorsch, W.W.1    Weinberg, C.R.2    Taylor, J.A.3
  • 61
    • 0033046371 scopus 로고    scopus 로고
    • Case-parents design for gene-environment interaction
    • Schaid DJ. Case-parents design for gene-environment interaction. Genet Epidemiol 1999;16:261-73.
    • (1999) Genet Epidemiol , vol.16 , pp. 261-273
    • Schaid, D.J.1
  • 62
    • 0035887888 scopus 로고    scopus 로고
    • Limitations of the case-only design for identifying gene-environment interactions
    • Albert PS, Ratnasinghe D, Tangrea J, Wacholder S. Limitations of the case-only design for identifying gene-environment interactions. Am J Epidemiol 2001; 154:687-93.
    • (2001) Am J Epidemiol , vol.154 , pp. 687-693
    • Albert, P.S.1    Ratnasinghe, D.2    Tangrea, J.3    Wacholder, S.4
  • 63
    • 7244251643 scopus 로고    scopus 로고
    • Further development of the case-only design for assessing gene-environment interaction: evaluation of and adjustment for bias
    • Gatto NM, Campbell UB, Rundle AG, Ahsan H. Further development of the case-only design for assessing gene-environment interaction: evaluation of and adjustment for bias. Int J Epidemiol 2004;33:1014-24.
    • (2004) Int J Epidemiol , vol.33 , pp. 1014-1024
    • Gatto, N.M.1    Campbell, U.B.2    Rundle, A.G.3    Ahsan, H.4
  • 64
    • 60149103126 scopus 로고    scopus 로고
    • Detecting gene-environment interactions using a combined case-only and case-control approach
    • Li D, Conti DV. Detecting gene-environment interactions using a combined case-only and case-control approach. Am J Epidemiol 2009;169:497-504.
    • (2009) Am J Epidemiol , vol.169 , pp. 497-504
    • Li, D.1    Conti, D.V.2
  • 65
    • 58449134949 scopus 로고    scopus 로고
    • Tests for gene-environment interaction from case-control data: a novel study of type I error, power and designs
    • Mukherjee B, Ahn J, Gruber SB, Rennert G, Moreno V, Chatterjee N. Tests for gene-environment interaction from case-control data: a novel study of type I error, power and designs. Genet Epidemiol 2008;32:615-26.
    • (2008) Genet Epidemiol , vol.32 , pp. 615-626
    • Mukherjee, B.1    Ahn, J.2    Gruber, S.B.3    Rennert, G.4    Moreno, V.5    Chatterjee, N.6
  • 66
    • 58449107994 scopus 로고    scopus 로고
    • Geneenvironment interaction in genome-wide association studies
    • Murcray CE, Lewinger JP, Gauderman WJ. Geneenvironment interaction in genome-wide association studies. Am J Epidemiol 2009;169:219-26.
    • (2009) Am J Epidemiol , vol.169 , pp. 219-226
    • Murcray, C.E.1    Lewinger, J.P.2    Gauderman, W.J.3
  • 67
    • 1242275125 scopus 로고    scopus 로고
    • Tests of gene-environment interaction for case-parent triads with general environmental exposures
    • Lake SL, Laird NM. Tests of gene-environment interaction for case-parent triads with general environmental exposures. Ann Hum Genet 2004;68(Pt 1):55-64.
    • (2004) Ann Hum Genet , vol.68 , Issue.PART. 1 , pp. 55-64
    • Lake, S.L.1    Laird, N.M.2
  • 68
    • 11844291414 scopus 로고    scopus 로고
    • Performance of the log-linear approach to case-parent triad data for assessing maternal genetic associations with offspring disease: type I error, power, and bias
    • Starr JR, Hsu L, Schwartz SM. Performance of the log-linear approach to case-parent triad data for assessing maternal genetic associations with offspring disease: type I error, power, and bias. Am J Epidemiol 2005;161: 196-204.
    • (2005) Am J Epidemiol , vol.161 , pp. 196-204
    • Starr, J.R.1    Hsu, L.2    Schwartz, S.M.3
  • 69
    • 0033909466 scopus 로고    scopus 로고
    • The use of case-parent triads to study joint effects of genotype and exposure
    • Umbach DM, Weinberg CR. The use of case-parent triads to study joint effects of genotype and exposure. Am J Hum Genet 2000;66:251-61.
    • (2000) Am J Hum Genet , vol.66 , pp. 251-261
    • Umbach, D.M.1    Weinberg, C.R.2
  • 70
    • 79953666873 scopus 로고    scopus 로고
    • Efficient genome-wide association testing of gene-environment interaction in case-parent trios
    • Gauderman WJ, Thomas DC, Murcray CE, Conti D, Li D, Lewinger JP. Efficient genome-wide association testing of gene-environment interaction in case-parent trios. Am J Epidemiol 2010;172:116-22.
    • (2010) Am J Epidemiol , vol.172 , pp. 116-122
    • Gauderman, W.J.1    Thomas, D.C.2    Murcray, C.E.3    Conti, D.4    Li, D.5    Lewinger, J.P.6
  • 71
    • 0042628116 scopus 로고    scopus 로고
    • Selection bias in the assessment of gene-environment interaction in case-control studies
    • Morimoto LM, White E, Newcomb PA. Selection bias in the assessment of gene-environment interaction in case-control studies. Am J Epidemiol 2003;158:259-63.
    • (2003) Am J Epidemiol , vol.158 , pp. 259-263
    • Morimoto, L.M.1    White, E.2    Newcomb, P.A.3
  • 72
    • 0036719751 scopus 로고    scopus 로고
    • Joint effect of genes and environment distorted by selection biases: implications for hospital-based case-control studies
    • Wacholder S, Chatterjee N, Hartge P. Joint effect of genes and environment distorted by selection biases: implications for hospital-based case-control studies. Cancer Epidemiol Biomarkers Prev 2002;11:885-89.
    • (2002) Cancer Epidemiol Biomarkers Prev , vol.11 , pp. 885-889
    • Wacholder, S.1    Chatterjee, N.2    Hartge, P.3
  • 73
    • 0034522905 scopus 로고    scopus 로고
    • Measurement error correction using validation data: a review of methods and their applicability in case-control studies
    • Thurigen D, Spiegelman D, Blettner M, Heuer C, Brenner H. Measurement error correction using validation data: a review of methods and their applicability in case-control studies. Stat Methods Med Res 2000;9:447-74.
    • (2000) Stat Methods Med Res , vol.9 , pp. 447-474
    • Thurigen, D.1    Spiegelman, D.2    Blettner, M.3    Heuer, C.4    Brenner, H.5
  • 74
    • 41849101502 scopus 로고    scopus 로고
    • How far from non-differential does exposure or disease misclassification have to be to bias measures of association away from the null?
    • Jurek AM, Greenland S, Maldonado G. How far from non-differential does exposure or disease misclassification have to be to bias measures of association away from the null? Int J Epidemiol 2008;37:382-85.
    • (2008) Int J Epidemiol , vol.37 , pp. 382-385
    • Jurek, A.M.1    Greenland, S.2    Maldonado, G.3
  • 75
    • 0033406444 scopus 로고    scopus 로고
    • Misclassification in case-control studies of gene-environment interactions: assessment of bias and sample size
    • Garcia-Closas M, Rothman N, Lubin J. Misclassification in case-control studies of gene-environment interactions: assessment of bias and sample size. Cancer Epidemiol Biomarkers Prev 1999;8:1043-50.
    • (1999) Cancer Epidemiol Biomarkers Prev , vol.8 , pp. 1043-1050
    • Garcia-Closas, M.1    Rothman, N.2    Lubin, J.3
  • 77
    • 57449095032 scopus 로고    scopus 로고
    • The effects of misclassification in studies of gene-environment interactions
    • Cheng KF, Lin WJ. The effects of misclassification in studies of gene-environment interactions. Hum Hered 2009;67:77-87.
    • (2009) Hum Hered , vol.67 , pp. 77-87
    • Cheng, K.F.1    Lin, W.J.2
  • 79
    • 17844408413 scopus 로고    scopus 로고
    • Biobanking: international norms
    • Knoppers BM. Biobanking: international norms. J Law Med Ethics 2005;33:7-14.
    • (2005) J Law Med Ethics , vol.33 , pp. 7-14
    • Knoppers, B.M.1
  • 80
    • 0345700787 scopus 로고    scopus 로고
    • European Prospective Investigation into Cancer and Nutrition (EPIC): study populations and data collection
    • Riboli E, Hunt KJ, Slimani N et al. European Prospective Investigation into Cancer and Nutrition (EPIC): study populations and data collection. Public Health Nutr 2002; 5:1113-24.
    • (2002) Public Health Nutr , vol.5 , pp. 1113-1124
    • Riboli, E.1    Hunt, K.J.2    Slimani, N.3
  • 81
    • 34247135853 scopus 로고    scopus 로고
    • National populationbased biobanks for genetic research
    • Swede H, Stone CL, Norwood AR. National populationbased biobanks for genetic research. Genet Med 2007;9: 141-49.
    • (2007) Genet Med , vol.9 , pp. 141-149
    • Swede, H.1    Stone, C.L.2    Norwood, A.R.3
  • 82
    • 38049023073 scopus 로고    scopus 로고
    • Clustered environments and randomized genes: a fundamental distinction between conventional and genetic epidemiology
    • Davey Smith G, Lawlor DA, Harbord R et al. Clustered environments and randomized genes: a fundamental distinction between conventional and genetic epidemiology. PLoS Med 2007;12:e352.
    • (2007) PLoS Med , vol.12
    • Davey Smith, G.1    Lawlor, D.A.2    Harbord, R.3
  • 83
    • 79952624880 scopus 로고    scopus 로고
    • Use of genetic markers and gene-diet-interactions for interrogating population-levelcausal influences of diet on health
    • Davey Smith G. Use of genetic markers and gene-diet-interactions for interrogating population-levelcausal influences of diet on health. Genes Nutrition 2011; 6:27-43.
    • (2011) Genes Nutrition , vol.6 , pp. 27-43
    • Davey Smith, G.1
  • 84
    • 9144228670 scopus 로고    scopus 로고
    • Pooled analysis of alcohol dehydrogenase genotypes and head and neck cancer: a HuGE review
    • Brennan P, Lewis S, Hashibe M et al. Pooled analysis of alcohol dehydrogenase genotypes and head and neck cancer: a HuGE review. Am J Epidemiol 2004;159:1-16.
    • (2004) Am J Epidemiol , vol.159 , pp. 1-16
    • Brennan, P.1    Lewis, S.2    Hashibe, M.3
  • 85
    • 70350102890 scopus 로고    scopus 로고
    • Functional variants in ADH1B and ALDH2 coupled with alcohol and smoking synergistically enhance esophageal cancer risk
    • Cui R, Kamatani Y, Takahashi A et al. Functional variants in ADH1B and ALDH2 coupled with alcohol and smoking synergistically enhance esophageal cancer risk. Gastroenterology 2009;137:1768-75.
    • (2009) Gastroenterology , vol.137 , pp. 1768-1775
    • Cui, R.1    Kamatani, Y.2    Takahashi, A.3
  • 86
    • 77049105601 scopus 로고    scopus 로고
    • Researching genetic versus nongenetic determinants of disease: a comparison and proposed unification
    • Ioannidis JP, Loy EY, Poulton R, Chia KS. Researching genetic versus nongenetic determinants of disease: a comparison and proposed unification. Sci Transl Med 2009;1:7ps8.
    • (2009) Sci Transl Med , vol.1 , pp. 7-8
    • Ioannidis, J.P.1    Loy, E.Y.2    Poulton, R.3    Chia, K.S.4
  • 87
    • 40949127393 scopus 로고    scopus 로고
    • How to interpret a genome-wide association study
    • Pearson TA, Manolio TA. How to interpret a genome-wide association study. JAMA 2008;299:1335-44.
    • (2008) JAMA , vol.299 , pp. 1335-1344
    • Pearson, T.A.1    Manolio, T.A.2
  • 88
    • 78149233729 scopus 로고    scopus 로고
    • Quality, quantity and harmony: the DataSHaPER approach to integrating data across bioclinical studies
    • Fortier I, Burton P, Robson P et al. Quality, quantity and harmony: the DataSHaPER approach to integrating data across bioclinical studies. Int J Epidemiol 2010;39: 1383-93.
    • (2010) Int J Epidemiol , vol.39 , pp. 1383-1393
    • Fortier, I.1    Burton, P.2    Robson, P.3
  • 90
    • 0038362208 scopus 로고    scopus 로고
    • Bias in dietaryreport instruments and its implications for nutritional epidemiology
    • Kipnis V, Midthune D, Freedman L et al. Bias in dietaryreport instruments and its implications for nutritional epidemiology. Public Health Nutr 2002;5:915-23.
    • (2002) Public Health Nutr , vol.5 , pp. 915-923
    • Kipnis, V.1    Midthune, D.2    Freedman, L.3
  • 91
    • 36849065071 scopus 로고    scopus 로고
    • The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies
    • Von EE, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet 2007;370:1453-57.
    • (2007) Lancet , vol.370 , pp. 1453-1457
    • Von, E.E.1    Altman, D.G.2    Egger, M.3    Pocock, S.J.4    Gotzsche, P.C.5    Vandenbroucke, J.P.6
  • 92
    • 67349252770 scopus 로고    scopus 로고
    • Strengthening the reporting of genetic association studies (STREGA): an extension of the strengthening the reporting of observational studies in epidemiology (STROBE) statement
    • Little J, Higgins JP, Ioannidis JP et al. Strengthening the reporting of genetic association studies (STREGA): an extension of the strengthening the reporting of observational studies in epidemiology (STROBE) statement. J Clin Epidemiol 2009;62:597-608.
    • (2009) J Clin Epidemiol , vol.62 , pp. 597-608
    • Little, J.1    Higgins, J.P.2    Ioannidis, J.P.3
  • 93
    • 79952213804 scopus 로고    scopus 로고
    • U.S. Department of Health and Human Services. A Report of the Surgeon General. Rockville, MD: U.S. Dept. of Health and Human Services, Public Health Service, Office of Surgeon General
    • U.S. Department of Health and Human Services. How Tobacco Causes Disease: The Biology and Behavioral Basis for Tobacco-Attributable Disease. A Report of the Surgeon General. Rockville, MD: U.S. Dept. of Health and Human Services, Public Health Service, Office of Surgeon General, 2010.
    • (2010) How Tobacco Causes Disease: The Biology and Behavioral Basis for Tobacco-Attributable Disease
  • 95
    • 0037125379 scopus 로고    scopus 로고
    • Risks and benefits of estrogen plus progestin in healthy postmenopausal women: principal results from the Women's Health Initiative randomized controlled trial
    • Rossouw JE, Anderson GL, Prentice RL et al. Risks and benefits of estrogen plus progestin in healthy postmenopausal women: principal results from the Women's Health Initiative randomized controlled trial. JAMA 2002;288:321-33.
    • (2002) JAMA , vol.288 , pp. 321-333
    • Rossouw, J.E.1    Anderson, G.L.2    Prentice, R.L.3
  • 96
    • 58549100070 scopus 로고    scopus 로고
    • A field synopsis on low-penetrance variants in DNA repair genes and cancer susceptibility
    • Vineis P, Manuguerra M, Kavvoura FK et al. A field synopsis on low-penetrance variants in DNA repair genes and cancer susceptibility. J Natl Cancer Inst 2009;101: 24-36.
    • (2009) J Natl Cancer Inst , vol.101 , pp. 24-36
    • Vineis, P.1    Manuguerra, M.2    Kavvoura, F.K.3
  • 97
    • 0037322022 scopus 로고    scopus 로고
    • 'Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease?
    • Davey Smith G, Ebrahim S. 'Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease? Int J Epidemiol 2003;32:1-22.
    • (2003) Int J Epidemiol , vol.32 , pp. 1-22
    • Davey Smith, G.1    Ebrahim, S.2
  • 98
    • 0033909466 scopus 로고    scopus 로고
    • The use of case-parent triads to study joint effects of genotype and exposure
    • Umbach DM, Weinberg CR. The use of case-parent triads to study joint effects of genotype and exposure. Am J Hum Genet 2000;66:251-61.
    • (2000) Am J Hum Genet , vol.66 , pp. 251-261
    • Umbach, D.M.1    Weinberg, C.R.2
  • 99
    • 77951543375 scopus 로고    scopus 로고
    • Caseonly gene-environment interaction studies: when does association imply mechanistic interaction?
    • VanderWeele TJ, Hernández-Díaz S, Hernán MA. Caseonly gene-environment interaction studies: when does association imply mechanistic interaction? Genet Epidemiol 2010;34:327-34.
    • (2010) Genet Epidemiol , vol.34 , pp. 327-334
    • VanderWeele, T.J.1    Hernández-Díaz, S.2    Hernán, M.A.3
  • 100
    • 0037322022 scopus 로고    scopus 로고
    • 'Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease?
    • Davey Smith G, Ebrahim S. 'Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease? Int J Epidemiol 2003;32:1-22.
    • (2003) Int J Epidemiol , vol.32 , pp. 1-22
    • Davey Smith, G.1    Ebrahim, S.2
  • 101
    • 84864525006 scopus 로고    scopus 로고
    • Aclohol consumption and ethyl carbamate (urethane)
    • IARC Working Group on the Evaluation of Carcinogenic Risks to Humans
    • IARC Working Group on the Evaluation of Carcinogenic Risks to Humans. Aclohol consumption and ethyl carbamate (urethane). IARC Mongr Eval Carcinog Risks Hum 2010;96:41-1284.
    • (2010) IARC Mongr Eval Carcinog Risks Hum , vol.96 , pp. 41-1284
  • 102
    • 20144369093 scopus 로고    scopus 로고
    • Tobacco smoke and involuntary smoking
    • IARC Working Group on the Evaluation of Carcinogenic Risks to Humans
    • IARC Working Group on the Evaluation of Carcinogenic Risks to Humans. Tobacco smoke and involuntary smoking. IARC Monogr Eval Carcinog Risks Hum 2004;83: 1-1452.
    • (2004) IARC Monogr Eval Carcinog Risks Hum , vol.83 , pp. 1-1452
  • 103
    • 34447522033 scopus 로고    scopus 로고
    • Commentary: reflections on G.M. Lower and colleagues' 1979 study associating slow acetylator phenotype with urinary bladder cancer: meta-analysis, historical refinements of the hypothesis, and lessons learned
    • Rothman N, Garcia-Closas M, Hein DW. Commentary: reflections on G.M. Lower and colleagues' 1979 study associating slow acetylator phenotype with urinary bladder cancer: meta-analysis, historical refinements of the hypothesis, and lessons learned. Int J Epidemiol 2007;36: 23-28.
    • (2007) Int J Epidemiol , vol.36 , pp. 23-28
    • Rothman, N.1    Garcia-Closas, M.2    Hein, D.W.3
  • 104
    • 47749149964 scopus 로고    scopus 로고
    • Effect of environmental substances on the activity of arylamine N-acetyltransferases
    • Rodrigues-Lima F, Dairou J, Dupret JM. Effect of environmental substances on the activity of arylamine N-acetyltransferases. Curr Drug Metab 2008;9:505-9.
    • (2008) Curr Drug Metab , vol.9 , pp. 505-509
    • Rodrigues-Lima, F.1    Dairou, J.2    Dupret, J.M.3
  • 105
    • 34547433163 scopus 로고    scopus 로고
    • The genetics of alcohol metabolism: role of alcohol dehydrogenase and aldehyde dehydrogenase variants
    • Edenberg HJ. The genetics of alcohol metabolism: role of alcohol dehydrogenase and aldehyde dehydrogenase variants. Alcohol Res Health 2007;30:5-13.
    • (2007) Alcohol Res Health , vol.30 , pp. 5-13
    • Edenberg, H.J.1
  • 106
    • 23844550544 scopus 로고    scopus 로고
    • Alcohol, ALDH2, and esophageal cancer: a meta-analysis which illustrates the potentials and limitations of a Mendelian randomization approach
    • Lewis SJ, Davey Smith G. Alcohol, ALDH2, and esophageal cancer: a meta-analysis which illustrates the potentials and limitations of a Mendelian randomization approach. Cancer Epidemiol Biomarkers Prev 2005;14: 1967-71.
    • (2005) Cancer Epidemiol Biomarkers Prev , vol.14 , pp. 1967-1971
    • Lewis, S.J.1    Davey Smith, G.2
  • 107
    • 58349122910 scopus 로고    scopus 로고
    • Aldehyde dehydrogenase and head and neck cancer: a meta-analysis implementing a Mendelian randomization approach
    • Boccia S, Hashibe M, Galli P et al. Aldehyde dehydrogenase and head and neck cancer: a meta-analysis implementing a Mendelian randomization approach. Cancer Epidemiol Biomarkers Prev 2009;18:248-54.
    • (2009) Cancer Epidemiol Biomarkers Prev , vol.18 , pp. 248-254
    • Boccia, S.1    Hashibe, M.2    Galli, P.3
  • 108
    • 53049104973 scopus 로고    scopus 로고
    • Variants in the ATM gene associated with a reduced risk of contralateral breast cancer
    • Concannon P, Haile RW, Borresen-Dale AL et al. Variants in the ATM gene associated with a reduced risk of contralateral breast cancer. Cancer Res 2008;68:6486-91.
    • (2008) Cancer Res , vol.68 , pp. 6486-6491
    • Concannon, P.1    Haile, R.W.2    Borresen-Dale, A.L.3
  • 109
    • 70049102963 scopus 로고    scopus 로고
    • A review of human carcinogens-part D: radiation
    • El GF, Baan R, Straif K et al. A review of human carcinogens- part D: radiation. Lancet Oncol 2009;10:751-52.
    • (2009) Lancet Oncol , vol.10 , pp. 751-752
    • El, G.F.1    Baan, R.2    Straif, K.3
  • 110
    • 9144251637 scopus 로고    scopus 로고
    • ATM and genome maintenance: defining its role in breast cancer susceptibility
    • Khanna KK, Chenevix-Trench G. ATM and genome maintenance: defining its role in breast cancer susceptibility. J Mammary Gland Biol Neoplasia 2004;9:247-62.
    • (2004) J Mammary Gland Biol Neoplasia , vol.9 , pp. 247-262
    • Khanna, K.K.1    Chenevix-Trench, G.2
  • 111
    • 77950574815 scopus 로고    scopus 로고
    • Radiation exposure, the ATM Gene, and contralateral breast cancer in the women's environmental cancer and radiation epidemiology study
    • Bernstein JL, Haile RW, Stovall M et al. Radiation exposure, the ATM Gene, and contralateral breast cancer in the women's environmental cancer and radiation epidemiology study. J Natl Cancer Inst 2010;102:475-83.
    • (2010) J Natl Cancer Inst , vol.102 , pp. 475-483
    • Bernstein, J.L.1    Haile, R.W.2    Stovall, M.3
  • 112
    • 0022437728 scopus 로고
    • Tobacco smoking
    • IARC Working Group on the Evaluation of Carcinogenic Risks to Humans
    • IARC Working Group on the Evaluation of Carcinogenic Risks to Humans. Tobacco smoking. IARC Monogr Eval Carcinog Risks Hum 1986;38:1-592.
    • (1986) IARC Monogr Eval Carcinog Risks Hum , vol.38 , pp. 1-592
  • 113
    • 76949088232 scopus 로고    scopus 로고
    • A review of human carcinogens -Part E: tobacco, areca nut, alcohol, coal smoke, and salted fish
    • Secretan B, Straif K, Baan R et al. A review of human carcinogens - Part E: tobacco, areca nut, alcohol, coal smoke, and salted fish. Lancet Oncol 2009;10:1033-34.
    • (2009) Lancet Oncol , vol.10 , pp. 1033-1034
    • Secretan, B.1    Straif, K.2    Baan, R.3
  • 114
    • 34548721074 scopus 로고    scopus 로고
    • Joint effects of the N-acetyltransferase 1 and 2 (NAT1 and NAT2) genes and smoking on bladder carcinogenesis: a literature-based systematic HuGE review and evidence synthesis
    • Sanderson S, Salanti G, Higgins J. Joint effects of the N-acetyltransferase 1 and 2 (NAT1 and NAT2) genes and smoking on bladder carcinogenesis: a literature-based systematic HuGE review and evidence synthesis. Am J Epidemiol 2007;166:741-51.
    • (2007) Am J Epidemiol , vol.166 , pp. 741-751
    • Sanderson, S.1    Salanti, G.2    Higgins, J.3
  • 115
    • 55049112064 scopus 로고    scopus 로고
    • Sequence variant on 8q24 confers susceptibility to urinary bladder cancer
    • Kiemeney LA, Thorlacius S, Sulem P et al. Sequence variant on 8q24 confers susceptibility to urinary bladder cancer. Nat Genet 2008;40:1307-12.
    • (2008) Nat Genet , vol.40 , pp. 1307-1312
    • Kiemeney, L.A.1    Thorlacius, S.2    Sulem, P.3
  • 116
    • 69349100058 scopus 로고    scopus 로고
    • Genetic variation in the prostate stem cell antigen gene PSCA confers susceptibility to urinary bladder cancer
    • Wu X, Ye Y, Kiemeney LA et al. Genetic variation in the prostate stem cell antigen gene PSCA confers susceptibility to urinary bladder cancer. Nat Genet 2009;41: 991-95.
    • (2009) Nat Genet , vol.41 , pp. 991-995
    • Wu, X.1    Ye, Y.2    Kiemeney, L.A.3
  • 117
    • 84921258844 scopus 로고    scopus 로고
    • Bladder cancer
    • Khoury MJ, Bedrosian SR, Gwinn M, Higgins JPT, Ioannidis JPA, Little J (eds). 2nd edn. New York: Oxford University Press
    • Figueroa JD, Garcia-Closas M, Rothman N. Bladder cancer. In: Khoury MJ, Bedrosian SR, Gwinn M, Higgins JPT, Ioannidis JPA, Little J (eds). Human Genome Epidemiology. 2nd edn. New York: Oxford University Press, 2010, pp. 299-315.
    • (2010) Human Genome Epidemiology , pp. 299-315
    • Figueroa, J.D.1    Garcia-Closas, M.2    Rothman, N.3
  • 118
    • 67649206975 scopus 로고    scopus 로고
    • Interaction between the serotonin transporter gene (5-HTTLPR), stressful life events, and risk of depression
    • Risch N, Herrell R, Lehner T et al. Interaction between the serotonin transporter gene (5-HTTLPR), stressful life events, and risk of depression. JAMA 2009;301:2462-71.
    • (2009) JAMA , vol.301 , pp. 2462-2471
    • Risch, N.1    Herrell, R.2    Lehner, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.