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Items: 1 to 20 of 95

1.
2.

A Comparison of Statistical Methods for the Discovery of Genetic Risk Factors Using Longitudinal Family Study Designs.

Burkett KM, Roy-Gagnon MH, Lefebvre JF, Wang C, Fontaine-Bisson B, Dubois L.

Front Immunol. 2015 Nov 19;6:589. doi: 10.3389/fimmu.2015.00589. eCollection 2015.

4.

The relationship between obesity, low back pain, and lumbar disc degeneration when genetics and the environment are considered: a systematic review of twin studies.

Dario AB, Ferreira ML, Refshauge KM, Lima TS, Ordoñana JR, Ferreira PH.

Spine J. 2015 May 1;15(5):1106-17. doi: 10.1016/j.spinee.2015.02.001. Epub 2015 Feb 7. Review.

PMID:
25661432
5.

A chain reaction approach to modelling gene pathways.

Cheng GC, Chen DT, Chen JJ, Soong SJ, Lamartiniere C, Barnes S.

Transl Cancer Res. 2012 Aug 1;1(2):61-73. Epub 2012 May 31.

6.

A linear mixed model framework for gene-based gene-environment interaction tests in twin studies.

Coombes BJ, Basu S, McGue M.

Genet Epidemiol. 2018 Oct;42(7):648-663. doi: 10.1002/gepi.22150. Epub 2018 Sep 11.

PMID:
30203856
7.

Genetics of dietary habits and obesity - a twin study.

Hasselbalch AL.

Dan Med Bull. 2010 Sep;57(9):B4182.

PMID:
20816022
8.

The genetic and environmental influences on childhood obesity: a systematic review of twin and adoption studies.

Silventoinen K, Rokholm B, Kaprio J, Sørensen TI.

Int J Obes (Lond). 2010 Jan;34(1):29-40. doi: 10.1038/ijo.2009.177. Epub 2009 Sep 15. Review.

PMID:
19752881
9.

Methodological and conceptual issues regarding occupational psychosocial coronary heart disease epidemiology.

Burr H, Formazin M, Pohrt A.

Scand J Work Environ Health. 2016 May 1;42(3):251-5. doi: 10.5271/sjweh.3557. Epub 2016 Mar 9.

10.

Three Approaches to Modeling Gene-Environment Interactions in Longitudinal Family Data: Gene-Smoking Interactions in Blood Pressure.

Basson J, Sung YJ, de Las Fuentes L, Schwander KL, Vazquez A, Rao DC.

Genet Epidemiol. 2016 Jan;40(1):73-80. doi: 10.1002/gepi.21941. Epub 2015 Dec 1.

11.

The effectiveness of web-based programs on the reduction of childhood obesity in school-aged children: A systematic review.

Antwi F, Fazylova N, Garcon MC, Lopez L, Rubiano R, Slyer JT.

JBI Libr Syst Rev. 2012;10(42 Suppl):1-14.

PMID:
27820152
12.

Correcting systematic inflation in genetic association tests that consider interaction effects: application to a genome-wide association study of posttraumatic stress disorder.

Almli LM, Duncan R, Feng H, Ghosh D, Binder EB, Bradley B, Ressler KJ, Conneely KN, Epstein MP.

JAMA Psychiatry. 2014 Dec 1;71(12):1392-9. doi: 10.1001/jamapsychiatry.2014.1339.

13.

A combination test for detection of gene-environment interaction in cohort studies.

Coombes B, Basu S, McGue M.

Genet Epidemiol. 2017 Jul;41(5):396-412. doi: 10.1002/gepi.22043. Epub 2017 Mar 31.

PMID:
28370330
14.
15.

Body mass index, free insulin-like growth factor I, and physical function among older adults: results from the ilSIRENTE study.

Onder G, Liperoti R, Russo A, Soldato M, Capoluongo E, Volpato S, Cesari M, Ameglio F, Bernabei R, Landi F.

Am J Physiol Endocrinol Metab. 2006 Oct;291(4):E829-34. Epub 2006 May 9.

16.

Association studies including genotype by environment interactions: prospects and limits.

Saïdou AA, Thuillet AC, Couderc M, Mariac C, Vigouroux Y.

BMC Genet. 2014 Jan 6;15:3. doi: 10.1186/1471-2156-15-3.

17.

Association Among Serum Insulin-Like Growth Factor-1, Frailty, Muscle Mass, Bone Mineral Density, and Physical Performance Among Community-Dwelling Middle-Aged and Older Adults in Taiwan.

Chen LY, Wu YH, Liu LK, Lee WJ, Hwang AC, Peng LN, Lin MH, Chen LK.

Rejuvenation Res. 2018 Jun;21(3):270-277. doi: 10.1089/rej.2016.1882. Epub 2017 May 9.

PMID:
28351218
18.

Serum insulin-like growth factor (IGF)-I and IGF-binding protein-1 in elderly people: relationships with cardiovascular risk factors, body composition, size at birth, and childhood growth.

Kajantie E, Fall CH, Seppälä M, Koistinen R, Dunkel L, Ylihärsilä H, Osmond C, Andersson S, Barker DJ, Forsén T, Holt RI, Phillips DI, Eriksson J.

J Clin Endocrinol Metab. 2003 Mar;88(3):1059-65.

PMID:
12629086
19.

Interaction between Social/Psychosocial Factors and Genetic Variants on Body Mass Index: A Gene-Environment Interaction Analysis in a Longitudinal Setting.

Zhao W, Ware EB, He Z, Kardia SLR, Faul JD, Smith JA.

Int J Environ Res Public Health. 2017 Sep 29;14(10). pii: E1153. doi: 10.3390/ijerph14101153.

20.

Comparative analysis of methods for detecting interacting loci.

Chen L, Yu G, Langefeld CD, Miller DJ, Guy RT, Raghuram J, Yuan X, Herrington DM, Wang Y.

BMC Genomics. 2011 Jul 5;12:344. doi: 10.1186/1471-2164-12-344.

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