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Results: 1 to 20 of 75

Cited In for PubMed (Select 19022827)

1.

Gene-environment interactions and obesity: recent developments and future directions.

Huang T, Hu FB.

BMC Med Genomics. 2015;8:530. doi: 10.1186/1755-8794-8-S1-S2.

2.
3.

Semiparametric tests for sufficient cause interaction.

Vansteelandt S, VanderWeele TJ, Robins JM.

J R Stat Soc Series B Stat Methodol. 2012 Mar;74(2):223-244.

4.

Discovering pure gene-environment interactions in blood pressure genome-wide association studies data: a two-step approach incorporating new statistics.

Wang MH, Huang CH, Zheng T, Lo SH, Hu I.

BMC Proc. 2014 Jun 17;8(Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo):S62. doi: 10.1186/1753-6561-8-S1-S62. eCollection 2014.

5.

Stratification by smoking status reveals an association of CHRNA5-A3-B4 genotype with body mass index in never smokers.

Taylor AE, Morris RW, Fluharty ME, Bjorngaard JH, Åsvold BO, Gabrielsen ME, Campbell A, Marioni R, Kumari M, Hällfors J, Männistö S, Marques-Vidal P, Kaakinen M, Cavadino A, Postmus I, Husemoen LL, Skaaby T, Ahluwalia TS, Treur JL, Willemsen G, Dale C, Wannamethee SG, Lahti J, Palotie A, Räikkönen K, Kisialiou A, McConnachie A, Padmanabhan S, Wong A, Dalgård C, Paternoster L, Ben-Shlomo Y, Tyrrell J, Horwood J, Fergusson DM, Kennedy MA, Frayling T, Nohr EA, Christiansen L, Ohm Kyvik K, Kuh D, Watt G, Eriksson J, Whincup PH, Vink JM, Boomsma DI, Davey Smith G, Lawlor D, Linneberg A, Ford I, Jukema JW, Power C, Hyppönen E, Jarvelin MR, Preisig M, Borodulin K, Kaprio J, Kivimaki M, Smith BH, Hayward C, Romundstad PR, Sørensen TI, Munafò MR, Sattar N.

PLoS Genet. 2014 Dec 4;10(12):e1004799. doi: 10.1371/journal.pgen.1004799. eCollection 2014 Dec.

6.

Testing departure from additivity in Tukey's model using shrinkage: application to a longitudinal setting.

Ko YA, Mukherjee B, Smith JA, Park SK, Kardia SL, Allison MA, Vokonas PS, Chen J, Diez-Roux AV.

Stat Med. 2014 Dec 20;33(29):5177-91. doi: 10.1002/sim.6281. Epub 2014 Aug 11.

7.

Complex pedigrees in the sequencing era: to track transmissions or decorrelate?

Li D, Zhou J, Thomas DC, Fardo DW.

Genet Epidemiol. 2014 Sep;38 Suppl 1:S29-36. doi: 10.1002/gepi.21822.

8.

Gene-environment interactions in severe mental illness.

Uher R.

Front Psychiatry. 2014 May 15;5:48. doi: 10.3389/fpsyt.2014.00048. eCollection 2014. Review.

9.

Association mapping for epistasis and environmental interaction of yield traits in 323 cotton cultivars under 9 different environments.

Jia Y, Sun X, Sun J, Pan Z, Wang X, He S, Xiao S, Shi W, Zhou Z, Pang B, Wang L, Liu J, Ma J, Du X, Zhu J.

PLoS One. 2014 May 8;9(5):e95882. doi: 10.1371/journal.pone.0095882. eCollection 2014.

10.

Genome-wide diet-gene interaction analyses for risk of colorectal cancer.

Figueiredo JC, Hsu L, Hutter CM, Lin Y, Campbell PT, Baron JA, Berndt SI, Jiao S, Casey G, Fortini B, Chan AT, Cotterchio M, Lemire M, Gallinger S, Harrison TA, Le Marchand L, Newcomb PA, Slattery ML, Caan BJ, Carlson CS, Zanke BW, Rosse SA, Brenner H, Giovannucci EL, Wu K, Chang-Claude J, Chanock SJ, Curtis KR, Duggan D, Gong J, Haile RW, Hayes RB, Hoffmeister M, Hopper JL, Jenkins MA, Kolonel LN, Qu C, Rudolph A, Schoen RE, Schumacher FR, Seminara D, Stelling DL, Thibodeau SN, Thornquist M, Warnick GS, Henderson BE, Ulrich CM, Gauderman WJ, Potter JD, White E, Peters U; CCFR; GECCO.

PLoS Genet. 2014 Apr 17;10(4):e1004228. doi: 10.1371/journal.pgen.1004228. eCollection 2014 Apr.

11.

BAYESIAN SEMIPARAMETRIC ANALYSIS FOR TWO-PHASE STUDIES OF GENE-ENVIRONMENT INTERACTION.

Ahn J, Mukherjee B, Gruber SB, Ghosh M.

Ann Appl Stat. 2013 Mar;7(1):543-569.

12.

Testing for measured gene-environment interaction: problems with the use of cross-product terms and a regression model reparameterization solution.

Aliev F, Latendresse SJ, Bacanu SA, Neale MC, Dick DM.

Behav Genet. 2014 Mar;44(2):165-81. doi: 10.1007/s10519-014-9642-1. Epub 2014 Feb 16.

13.

Genotype-environment interactions for quantitative traits in Korea Associated Resource (KARE) cohorts.

Kim J, Lee T, Lee HJ, Kim H.

BMC Genet. 2014 Feb 4;15:18. doi: 10.1186/1471-2156-15-18.

14.

Screening-testing approaches for gene-gene and gene-environment interactions using independent statistics.

Millstein J.

Front Genet. 2013 Dec 30;4:306. doi: 10.3389/fgene.2013.00306. eCollection 2013. No abstract available.

15.

CHRNA7 polymorphisms and response to cholinesterase inhibitors in Alzheimer's disease.

Weng PH, Chen JH, Chen TF, Sun Y, Wen LL, Yip PK, Chu YM, Chen YC.

PLoS One. 2013 Dec 31;8(12):e84059. doi: 10.1371/journal.pone.0084059. eCollection 2013.

16.

Gene-alcohol interactions identify several novel blood pressure loci including a promising locus near SLC16A9.

Simino J, Sung YJ, Kume R, Schwander K, Rao DC.

Front Genet. 2013 Dec 12;4:277. doi: 10.3389/fgene.2013.00277. eCollection 2013.

17.

Gene × environment interaction studies have not properly controlled for potential confounders: the problem and the (simple) solution.

Keller MC.

Biol Psychiatry. 2014 Jan 1;75(1):18-24. doi: 10.1016/j.biopsych.2013.09.006. Epub 2013 Oct 15. Review.

18.

Gene-environment interactions in cancer epidemiology: a National Cancer Institute Think Tank report.

Hutter CM, Mechanic LE, Chatterjee N, Kraft P, Gillanders EM; NCI Gene-Environment Think Tank.

Genet Epidemiol. 2013 Nov;37(7):643-57. doi: 10.1002/gepi.21756. Epub 2013 Oct 5.

19.

Progress and future aspects in genetics of human hypertension.

Zhao Q, Kelly TN, Li C, He J.

Curr Hypertens Rep. 2013 Dec;15(6):676-86. doi: 10.1007/s11906-013-0388-6. Review.

20.

Empirical hierarchical bayes approach to gene-environment interactions: development and application to genome-wide association studies of lung cancer in TRICL.

Sohns M, Viktorova E, Amos CI, Brennan P, Fehringer G, Gaborieau V, Han Y, Heinrich J, Chang-Claude J, Hung RJ, Müller-Nurasyid M, Risch A, Lewinger JP, Thomas DC, Bickeböller H.

Genet Epidemiol. 2013 Sep;37(6):551-9. doi: 10.1002/gepi.21741. Epub 2013 Jul 26.

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