-
2
-
-
0035887888
-
Limitations of the case-only design for identifying gene-environment interactions
-
Albert PS, Ratnasinghe D, Tangrea J, Wacholder S. 2001. Limitations of the case-only design for identifying gene-environment interactions. Am J Epidemiol 154:687-693.
-
(2001)
Am J Epidemiol
, vol.154
, pp. 687-693
-
-
Albert, P.S.1
Ratnasinghe, D.2
Tangrea, J.3
Wacholder, S.4
-
3
-
-
40049103754
-
Meta- and pooled analyses of the methylenetetrahydrofolate reductase C677T and A1298C polymorphisms and gastric cancer risk: A huge-GSEC review
-
Boccia S, Hung R, Ricciardi G, Gianfagna F, Ebert MP, Fang JY, Gao CM, Gotze T, Graziano F, Lacasana-Navarro M, Lin D, Lopez-Carrillo L, Qiao YL, Shen H, Stolzenberg-Solomon R, Takezaki T, Weng YR, Zhang FF, van Duijn CM, Boffetta P, Taioli E. 2008. Meta- and pooled analyses of the methylenetetrahydrofolate reductase C677T and A1298C polymorphisms and gastric cancer risk: a huge-GSEC review. Am J Epidemiol 167:505-516.
-
(2008)
Am J Epidemiol
, vol.167
, pp. 505-516
-
-
Boccia, S.1
Hung, R.2
Ricciardi, G.3
Gianfagna, F.4
Ebert, M.P.5
Fang, J.Y.6
Gao, C.M.7
Gotze, T.8
Graziano, F.9
Lacasana-Navarro, M.10
Lin, D.11
Lopez-Carrillo, L.12
Qiao, Y.L.13
Shen, H.14
Stolzenberg-Solomon, R.15
Takezaki, T.16
Weng, Y.R.17
Zhang, F.F.18
van Duijn, C.M.19
Boffetta, P.20
Taioli, E.21
more..
-
4
-
-
34547851812
-
Uncommon CHEK2 mis-sense variant and reduced risk of tobacco-related cancers: Case control study
-
Brennan P, McKay J, Moore L, Zaridze D, Mukeria A, Szeszenia-Dabrowska N, Lissowska J, Rudnai P, Fabianova E, Mates D, Bencko V, Foretova L, Janout V, Chow WH, Rothman N, Chabrier A, Gaborieau V, Odefrey F, Southey M, Hashibe M, Hall J, Boffetta P, Peto J, Peto R, Hung RJ. 2007. Uncommon CHEK2 mis-sense variant and reduced risk of tobacco-related cancers: case control study. Hum Mol Genet 16:1794-1801.
-
(2007)
Hum Mol Genet
, vol.16
, pp. 1794-1801
-
-
Brennan, P.1
McKay, J.2
Moore, L.3
Zaridze, D.4
Mukeria, A.5
Szeszenia-Dabrowska, N.6
Lissowska, J.7
Rudnai, P.8
Fabianova, E.9
Mates, D.10
Bencko, V.11
Foretova, L.12
Janout, V.13
Chow, W.H.14
Rothman, N.15
Chabrier, A.16
Gaborieau, V.17
Odefrey, F.18
Southey, M.19
Hashibe, M.20
Hall, J.21
Boffetta, P.22
Peto, J.23
Peto, R.24
Hung, R.J.25
more..
-
5
-
-
12744255341
-
Semiparametric maximum likelihood estimation exploiting gene-environment independence in case-control studies
-
Chatterjee N, Carroll R. 1995. Semiparametric maximum likelihood estimation exploiting gene-environment independence in case-control studies. Biometrika 92:399-418.
-
(1995)
Biometrika
, vol.92
, pp. 399-418
-
-
Chatterjee, N.1
Carroll, R.2
-
6
-
-
33845284533
-
Powerful multilocus tests of genetic association in the presence of gene-gene and gene-environment interactions
-
Chatterjee N, Kalaylioglu Z, Moslehi R, Peters U, Wacholder S. 2006. Powerful multilocus tests of genetic association in the presence of gene-gene and gene-environment interactions. Am J Hum Genet 79:1002-1016.
-
(2006)
Am J Hum Genet
, vol.79
, pp. 1002-1016
-
-
Chatterjee, N.1
Kalaylioglu, Z.2
Moslehi, R.3
Peters, U.4
Wacholder, S.5
-
7
-
-
33947672866
-
A partially linear tree-based regression model for assessing complex joint gene-gene and gene-environment effects
-
Chen J, Yu K, Hsing A, Thernau TM. 2007. A partially linear tree-based regression model for assessing complex joint gene-gene and gene-environment effects. Genet Epidemiol 31:238-251.
-
(2007)
Genet Epidemiol
, vol.31
, pp. 238-251
-
-
Chen, J.1
Yu, K.2
Hsing, A.3
Thernau, T.M.4
-
8
-
-
39649099379
-
A support vector machine approach for detecting gene-gene interaction
-
Chen SH, Sun J, Dimitriv L, Turner AR, Adams TS, Meyers DA, Chang BL, Zheng SL, Gronberg H, Xu J, Hsu FC. 2008. A support vector machine approach for detecting gene-gene interaction. Genet Epidemiol 32:152-167.
-
(2008)
Genet Epidemiol
, vol.32
, pp. 152-167
-
-
Chen, S.H.1
Sun, J.2
Dimitriv, L.3
Turner, A.R.4
Adams, T.S.5
Meyers, D.A.6
Chang, B.L.7
Zheng, S.L.8
Gronberg, H.9
Xu, J.10
Hsu, F.C.11
-
9
-
-
0030532505
-
Bayesian variable selection with related predictors
-
Chipman H. 1996. Bayesian variable selection with related predictors. Can J Stat 24:17-36.
-
(1996)
Can J Stat
, vol.24
, pp. 17-36
-
-
Chipman, H.1
-
10
-
-
0035922669
-
Epidemiological methods for studying genes and environmental factors in complex diseases
-
Clayton D, McKeigue PM. 2001. Epidemiological methods for studying genes and environmental factors in complex diseases. Lancet 358:1356-1360.
-
(2001)
Lancet
, vol.358
, pp. 1356-1360
-
-
Clayton, D.1
McKeigue, P.M.2
-
12
-
-
84893179575
-
Variable selection via Gibbs sampling
-
George EI, McCulloch RE. 1993. Variable selection via Gibbs sampling. J Am Stat Assoc 88:881-889.
-
(1993)
J Am Stat Assoc
, vol.88
, pp. 881-889
-
-
George, E.I.1
McCulloch, R.E.2
-
13
-
-
0031526204
-
Approaches for variable selection
-
George EI,McCulloch RE. 1997. Approaches for variable selection. Stat Sin 7:339-374.
-
(1997)
Stat Sin
, vol.7
, pp. 339-374
-
-
George, E.I.1
McCulloch, R.E.2
-
14
-
-
77956889087
-
Reversible jump MCMC computation and Bayesian model determination
-
Green PJ. 1995. Reversible jump MCMC computation and Bayesian model determination. Biometrika 82:711-732.
-
(1995)
Biometrika
, vol.82
, pp. 711-732
-
-
Green, P.J.1
-
15
-
-
0026595921
-
A semi-Bayes approach to the analysis of correlated multiple associations, with an application to an occupational cancer-mortality study
-
Greenland S. 1992. A semi-Bayes approach to the analysis of correlated multiple associations, with an application to an occupational cancer-mortality study. Stat Med 11:219-230.
-
(1992)
Stat Med
, vol.11
, pp. 219-230
-
-
Greenland, S.1
-
16
-
-
0027189767
-
Methods for epidemiologic analyses of multiple exposures: A review and comparative study of maximum-likelihood, preliminary-testing, and empirical Bayes regression
-
Greenland S. 1993. Methods for epidemiologic analyses of multiple exposures: a review and comparative study of maximum-likelihood, preliminary-testing, and empirical Bayes regression. Stat Med 12:717-736.
-
(1993)
Stat Med
, vol.12
, pp. 717-736
-
-
Greenland, S.1
-
17
-
-
44349179705
-
-
Hashibe M, McKay JD, Curado MP, Oliveira JC, Koifman S, Koifman R, Zaridze D, Shangina O, Wunsch-Filho V, Eluf-Neto J, Levi J, Matos E, Lagiou P, Lagiou A, Benhamou S, Bouchardy C, Szeszenia-Dabrowska N, Menezes A, Dall'Agnol MM, Merletti F, Richiardi L, Fernandez L, Lence J, Talamini R, Barzan L, Mates D, Mates IN, Kjaerheim K, Macfarlane GJ, Macfarlane TV, Simonato L, Canova C, Holcatova I, Agudo A, Castellsague X, Lowry R, Janout V, Kollarova H, Conway DI, McKinney PA, Znaor A, Fabianova E, Bencko V, Lissowska J, Chabrier A, Hung RJ, Gaborieau V, Boffetta P, Brennan P. 2008. Multiple ADH genes are associated with upper aerodigestive cancers. Nat Genet 40:707-709.
-
Hashibe M, McKay JD, Curado MP, Oliveira JC, Koifman S, Koifman R, Zaridze D, Shangina O, Wunsch-Filho V, Eluf-Neto J, Levi J, Matos E, Lagiou P, Lagiou A, Benhamou S, Bouchardy C, Szeszenia-Dabrowska N, Menezes A, Dall'Agnol MM, Merletti F, Richiardi L, Fernandez L, Lence J, Talamini R, Barzan L, Mates D, Mates IN, Kjaerheim K, Macfarlane GJ, Macfarlane TV, Simonato L, Canova C, Holcatova I, Agudo A, Castellsague X, Lowry R, Janout V, Kollarova H, Conway DI, McKinney PA, Znaor A, Fabianova E, Bencko V, Lissowska J, Chabrier A, Hung RJ, Gaborieau V, Boffetta P, Brennan P. 2008. Multiple ADH genes are associated with upper aerodigestive cancers. Nat Genet 40:707-709.
-
-
-
-
18
-
-
2942586810
-
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, Porru S, Donato F, Boffetta P, Witte J. 2004. Using hierarchical modeling in genetic association studies with multiple markers: application to a case-control study of bladder cancer. Cancer Epidemiol Biomarkers Prev 13:1013-1021.
-
(2004)
Cancer Epidemiol Biomarkers Prev
, vol.13
, pp. 1013-1021
-
-
Hung, R.J.1
Brennan, P.2
Malaveille, C.3
Porru, S.4
Donato, F.5
Boffetta, P.6
Witte, J.7
-
19
-
-
41649103682
-
-
Hung RJ, McKay JD, Gaborieau V, Boffetta P, Hashibe M, Zaridze D, Mukeria A, Szeszenia-Dabrowska N, Lissowska J, Rudnai P, Fabianova E, Mates D, Bencko V, Foretova L, Janout V, Chen C, Goodman G, Field JK, Liloglou T, Xinarianos G, Cassidy A, McLaughlin J, Liu G, Narod S, Krokan HE, Skorpen F, Elvestad MB, Hveem K, Vatten L, Linseisen J, Clavel-Chapelon F, Vineis P, Bueno de Mesquita HB, Lund E, Martinez C, Bingham S, Rasmuson T, Hainaut P, Riboli E, Ahrens W, Benhamou S, Lagiou P, Trichopoulos D, Holctov I, Merletti F, Kjaerheim K, Agudo A, Macfarlane G, Talamini R, Simonato L, Lowry R, Conway DI, Znaor A, Healy C, Zelenika D, Boland A, Delepine M, Foglio M, Lechner D, Matsuda F, Blanche H, Gut I, Heath S, Lathrop M, Brennan P. 2008. A susceptibility locus for lung cancer maps to nicotinic acetylcholine receptor subunit genes on 15q25. Nature 452:633-637
-
Hung RJ, McKay JD, Gaborieau V, Boffetta P, Hashibe M, Zaridze D, Mukeria A, Szeszenia-Dabrowska N, Lissowska J, Rudnai P, Fabianova E, Mates D, Bencko V, Foretova L, Janout V, Chen C, Goodman G, Field JK, Liloglou T, Xinarianos G, Cassidy A, McLaughlin J, Liu G, Narod S, Krokan HE, Skorpen F, Elvestad MB, Hveem K, Vatten L, Linseisen J, Clavel-Chapelon F, Vineis P, Bueno de Mesquita HB, Lund E, Martinez C, Bingham S, Rasmuson T, Hainaut P, Riboli E, Ahrens W, Benhamou S, Lagiou P, Trichopoulos D, Holctov I, Merletti F, Kjaerheim K, Agudo A, Macfarlane G, Talamini R, Simonato L, Lowry R, Conway DI, Znaor A, Healy C, Zelenika D, Boland A, Delepine M, Foglio M, Lechner D, Matsuda F, Blanche H, Gut I, Heath S, Lathrop M, Brennan P. 2008. A susceptibility locus for lung cancer maps to nicotinic acetylcholine receptor subunit genes on 15q25. Nature 452:633-637.
-
-
-
-
20
-
-
12744269194
-
Identifying interacting SNPs using Monte Carlo logic regression
-
Kooperberg C, Ruczinski I. 2005. Identifying interacting SNPs using Monte Carlo logic regression. Genet Epidemiol 28:157-170.
-
(2005)
Genet Epidemiol
, vol.28
, pp. 157-170
-
-
Kooperberg, C.1
Ruczinski, I.2
-
21
-
-
33847059098
-
Exploiting gene-environment interaction to detect genetic associations
-
Kraft P, Yen YC, Stram DO, Morrison J, Gauderman WJ. 2007. Exploiting gene-environment interaction to detect genetic associations. Hum Hered 63:111-119.
-
(2007)
Hum Hered
, vol.63
, pp. 111-119
-
-
Kraft, P.1
Yen, Y.C.2
Stram, D.O.3
Morrison, J.4
Gauderman, W.J.5
-
22
-
-
38049023107
-
Hierarchical Bayes prioritization for marker associations from a genome-wide association scan for further investigation
-
Lewinger JP, Conti DV, Baurley JW, Triche TJ, Thomas DC. 2007. Hierarchical Bayes prioritization for marker associations from a genome-wide association scan for further investigation. Genet Epidemiol 31:871-882.
-
(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
-
23
-
-
25444453244
-
Screening large-scale association study data: Exploiting interactions using random forests
-
Lunetta KL, Hayward LB, Segal J, Van Eerdewegh P. 2004. Screening large-scale association study data: exploiting interactions using random forests. BMC Genet 5:32.
-
(2004)
BMC Genet
, vol.5
, pp. 32
-
-
Lunetta, K.L.1
Hayward, L.B.2
Segal, J.3
Van Eerdewegh, P.4
-
24
-
-
33645466595
-
A Bayesian toolkit for genetic association studies
-
Lunn DJ, Whittaker JC, Best N. 2006. A Bayesian toolkit for genetic association studies. Genet Epidemiol 30:231-247.
-
(2006)
Genet Epidemiol
, vol.30
, pp. 231-247
-
-
Lunn, D.J.1
Whittaker, J.C.2
Best, N.3
-
25
-
-
16844366786
-
Genome-wide strategies for detecting multiple loci that influence complex diseases
-
Marchini J, Donnelly P, Cardon LR. 2005. Genome-wide strategies for detecting multiple loci that influence complex diseases. Nat Genet 37:413-417.
-
(2005)
Nat Genet
, vol.37
, pp. 413-417
-
-
Marchini, J.1
Donnelly, P.2
Cardon, L.R.3
-
26
-
-
0000187970
-
Selection of subsets of regression variables
-
Miller AJ. 1984. Selection of subsets of regression variables. J R Stat Soc Ser A 147:389-425.
-
(1984)
J R Stat Soc Ser A
, vol.147
, pp. 389-425
-
-
Miller, A.J.1
-
27
-
-
0000130839
-
Bayesian variable selection in linear regression (with discussion)
-
Mitchell TJ, Beauchamp JJ. 1988. Bayesian variable selection in linear regression (with discussion). J Am Stat Assoc 83:1023-1036.
-
(1988)
J Am Stat Assoc
, vol.83
, pp. 1023-1036
-
-
Mitchell, T.J.1
Beauchamp, J.J.2
-
28
-
-
35348900731
-
Novel methods for detecting epistasis in pharmacogenomics studies
-
Motsinger AA, Ritchie MD, Reil DM. 2007. Novel methods for detecting epistasis in pharmacogenomics studies. Pharmacogenomics 8:1229-1241.
-
(2007)
Pharmacogenomics
, vol.8
, pp. 1229-1241
-
-
Motsinger, A.A.1
Ritchie, M.D.2
Reil, D.M.3
-
29
-
-
49749089301
-
Exploiting gene-environment independence for analysis of case-control studies: An empirical-Bayes type shrinkage estimator to trade of f between bias and efficiency
-
Mukherjee B, Chatterjee N. 2008. Exploiting gene-environment independence for analysis of case-control studies: an empirical-Bayes type shrinkage estimator to trade of f between bias and efficiency. Biometrics 64:685-694.
-
(2008)
Biometrics
, vol.64
, pp. 685-694
-
-
Mukherjee, B.1
Chatterjee, N.2
-
30
-
-
58449134949
-
Tests for gene-environment interaction from case-control data: A novel study of type I error, power and designs
-
Mukherjee B, Ahn J, Fruber SB, Rennert G, Moreno V, Chatterjee N. 2008. Tests for gene-environment interaction from case-control data: a novel study of type I error, power and designs. Genet Epidemiol 32:1-14.
-
(2008)
Genet Epidemiol
, vol.32
, pp. 1-14
-
-
Mukherjee, B.1
Ahn, J.2
Fruber, S.B.3
Rennert, G.4
Moreno, V.5
Chatterjee, N.6
-
31
-
-
37249080278
-
Penalized logistic regression for detecting gene interactions
-
Park MY, Hastie T. 2008. Penalized logistic regression for detecting gene interactions. Biostatistics 9:30-50.
-
(2008)
Biostatistics
, vol.9
, pp. 30-50
-
-
Park, M.Y.1
Hastie, T.2
-
32
-
-
0028089404
-
Non hierarchical logistic models and case-only designs for assessing susceptibility in population-based case-control studies
-
Piegorsch WW, Weinberg CR, Taylor J. 1994. Non hierarchical logistic models and case-only designs for assessing susceptibility in population-based case-control studies. Stat Med 13:153-162.
-
(1994)
Stat Med
, vol.13
, pp. 153-162
-
-
Piegorsch, W.W.1
Weinberg, C.R.2
Taylor, J.3
-
33
-
-
49749137910
-
-
Rice K, Spiegelhalter D. 2008. Comment: microarrays, empirical Bayes and the two groups model by B. Efron. Stat Sci 23:41-44.
-
Rice K, Spiegelhalter D. 2008. Comment: microarrays, empirical Bayes and the two groups model by B. Efron. Stat Sci 23:41-44.
-
-
-
-
34
-
-
0034973569
-
Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer
-
Ritchie M, Hahn L, Moore J. 2001. Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer. Am J Hum Genet 69:138-147.
-
(2001)
Am J Hum Genet
, vol.69
, pp. 138-147
-
-
Ritchie, M.1
Hahn, L.2
Moore, J.3
-
35
-
-
0037310257
-
Power of multifactor dimensionality reduction for detecting gene-gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity
-
Ritchie M, Hahn L, Moore J. 2003. Power of multifactor dimensionality reduction for detecting gene-gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity. Genet Epidemiol 24:150-157.
-
(2003)
Genet Epidemiol
, vol.24
, pp. 150-157
-
-
Ritchie, M.1
Hahn, L.2
Moore, J.3
-
37
-
-
48549095457
-
Conditional variable importance for random forests
-
Strobl C, Boulesteix AL, Kneib T, Augustin T, Zeileis A. 2008. Conditional variable importance for random forests. BMC Bioinformatics 9:307.
-
(2008)
BMC Bioinformatics
, vol.9
, pp. 307
-
-
Strobl, C.1
Boulesteix, A.L.2
Kneib, T.3
Augustin, T.4
Zeileis, A.5
-
38
-
-
0022376873
-
The Problem of multiple inference in studies designed to generate hypotheses
-
Thomas D, Siemiatycki J, Dewar R, Robins J, Goldberg M, Armstrong BG. 1985. The Problem of multiple inference in studies designed to generate hypotheses. Am J Epidemiol 122:1080-1095.
-
(1985)
Am J Epidemiol
, vol.122
, pp. 1080-1095
-
-
Thomas, D.1
Siemiatycki, J.2
Dewar, R.3
Robins, J.4
Goldberg, M.5
Armstrong, B.G.6
-
39
-
-
0026468055
-
Empirical Bayes methods for testing associations with large numbers of candidate genes in the presence of environmental risk factors, with applications to HLA associations in IDDM
-
Thomas D, Langholz B, Clayton D, Pitkaniemi J, Tuomilehto-Wolf E, Tuomilehto J. 1992. Empirical Bayes methods for testing associations with large numbers of candidate genes in the presence of environmental risk factors, with applications to HLA associations in IDDM. Ann Med 24:387-392.
-
(1992)
Ann Med
, vol.24
, pp. 387-392
-
-
Thomas, D.1
Langholz, B.2
Clayton, D.3
Pitkaniemi, J.4
Tuomilehto-Wolf, E.5
Tuomilehto, J.6
-
40
-
-
0030762960
-
Designing and analyzing case-control studies to exploit independence of genotype and exposure
-
Umbach DM, Weinberg CR. 1997. Designing and analyzing case-control studies to exploit independence of genotype and exposure. Stat Med 16:1731-1743.
-
(1997)
Stat Med
, vol.16
, pp. 1731-1743
-
-
Umbach, D.M.1
Weinberg, C.R.2
-
42
-
-
0029929765
-
Simulation study of hierarchical regression
-
Witte JS, Greenland S. 1996. Simulation study of hierarchical regression. Stat Med 15:1161-1170.
-
(1996)
Stat Med
, vol.15
, pp. 1161-1170
-
-
Witte, J.S.1
Greenland, S.2
-
43
-
-
33344464252
-
Bladder cancer predisposition: A multigenic approach to DNA-repair and cell-cycle-control genes
-
Wu X, Gu J, Grossman HB, Amos CI, Etzel C, Huang M, Zhang Q, Millikan RE, Lerner S, Dinney CP, Spitz MR. 2006. Bladder cancer predisposition: a multigenic approach to DNA-repair and cell-cycle-control genes. Am J Hum Genet 78:464-479.
-
(2006)
Am J Hum Genet
, vol.78
, pp. 464-479
-
-
Wu, X.1
Gu, J.2
Grossman, H.B.3
Amos, C.I.4
Etzel, C.5
Huang, M.6
Zhang, Q.7
Millikan, R.E.8
Lerner, S.9
Dinney, C.P.10
Spitz, M.R.11
-
44
-
-
41149152918
-
Biostatistical aspects of genome-wide association studies
-
Ziegler A, Konig IR, Thompson JR. 2008. Biostatistical aspects of genome-wide association studies. Biomed J 50:8-28.
-
(2008)
Biomed J
, vol.50
, pp. 8-28
-
-
Ziegler, A.1
Konig, I.R.2
Thompson, J.R.3
|