Gene-environment interactions in obesity: Implication for future applications in preventive medicine

Journal of Human Genetics

Volumn 61, Issue 4, 2016, Pages 317-322

  Nakamura, Sho ^a   Narimatsu, Hiroto ^b,c   Sato, Hidenori ^a   Sho, Ri ^b   Otani, Katsumi ^b   Kawasaki, Ryo ^b   Karasawa, Shigeru ^a   Daimon, Makoto ^d   Yamashita, Hidetoshi ^a   Kubota, Isao ^a   Ueno, Yoshiyuki ^a   Kato, Takeo ^a   Yoshioka, Takashi ^a   Fukao, Akira ^b   Kayama, Takamasa ^a  

^a YAMAGATA UNIVERSITY   (Japan)

^b YAMAGATA UNIVERSITY   (Japan)

^c KANAGAWA CANCER CENTER   (Japan)

^d HIROSAKI UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

VEGETABLE OIL;

ADULT; AGED; ALCOHOL CONSUMPTION; ALLELE; ARTICLE; BODY MASS; DIETARY FIBER; FEMALE; FOOD INTAKE; GENETIC ASSOCIATION; GENETIC RISK; GENETIC RISK SCORE; GENOTYPE ENVIRONMENT INTERACTION; HOMEOSTASIS; HOMEOSTASIS MODEL ASSESSMENT RATIO; HUMAN; LIFESTYLE; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; METABOLIC EQUIVALENT; NUTRITION; OBESITY; PREVENTIVE MEDICINE; PROTEIN INTAKE; RISK ASSESSMENT; SINGLE NUCLEOTIDE POLYMORPHISM; UNDERWEIGHT; GENETIC PREDISPOSITION; GENETICS; GENOTYPE; MIDDLE AGED; PATHOLOGY; RISK FACTOR; VERY ELDERLY;

ADULT; AGED; AGED, 80 AND OVER; BODY MASS INDEX; GENE-ENVIRONMENT INTERACTION; GENETIC PREDISPOSITION TO DISEASE; GENOTYPE; HUMANS; MIDDLE AGED; OBESITY; POLYMORPHISM, SINGLE NUCLEOTIDE; RISK FACTORS;

EID: 84964990286     PISSN: 14345161     EISSN: 1435232X     Source Type: Journal    
DOI: 10.1038/jhg.2015.148     Document Type: Article

References (46)

1. World Health Organization: Fact Sheet No. 311 Obesity and overweight (2015). http://www.who.int/mediacentre/factsheets/fs311/en/. Accessed 25 July 2015.
2. Ng, M., Fleming, T., Robinson, M., Thomson, B., Graetz, N., Margono, C. et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 384, 766-781 (2014).
3. Taylor, A. E., Ebrahim, S., Ben-Shlomo, Y., Martin, R. M., Whincup, P. H., Yarnell, J. W. et al. Comparison of the associations of body mass index and measures of central adiposity and fat mass with coronary heart disease, diabetes, and all-cause mortality: a study using data from 4 UK cohorts. Am. J. Clin. Nutr. 91, 547-556 (2010).
4. Berrington de Gonzalez, A., Hartge, P., Cerhan, J. R., Flint, A. J., Hannan, L., Maclnnis, R. J. et al. Body-mass index and mortality among 1.46 million white adults. N. Engl. J. Med. 363, 2211-2219 (2010).
5. Zheng, W., McLerran, D. F., Rolland, B., Zhang, X., Inoue, M., Matsuo, K. et al. Association between body-mass index and risk of death in more than 1 million Asians. N. Engl. J. Med. 364, 719-729 (2011).
6. Tsai, A. G., Williamson, D. F. & Glick, H. A. Direct medical cost of overweight and obesity in the USA: a quantitative systematic review. Obes. Rev. 12, 50-61 (2011).
7. Kopelman, P. G. Obesity as a medical problem. Nature 404, 635-643 (2000).
8. Qi, L. & Cho, Y. A. Gene-environment interaction and obesity. Nutr. Rev. 66, 684-694 (2008).
9. Speliotes, E. K., Willer, C. J., Berndt, S. I., Monda, K. L., Thorleifsson, G., Jackson, A. U. et al. Association analyses of 249, 796 individuals reveal 18 new loci associated with body mass index. Nat. Genet. 42, 937-948 (2010).
10. Qi, Q., Chu, A. Y., Kang, J. H., Jenson, M. L., Curhan, G. C., Pasquale, L. R. et al. Sugar-sweetened beverages and genetic risk of obesity. N. Engl. J. Med. 367, 1387-1396 (2012).
11. Barrio-Lopez, M. T., Martinez-Gonzalez, M. A., Fernandez-Montero, A., Buenza, J. J., Zazpe, I. & Bes-Rastrollo, M. Prospective study of changes in sugar-sweetened beverage consumption and the incidence of the metabolic syndrome and its components: the SUN cohort. Br. J. Nutr. 110, 1722-1731 (2013).
12. Qi, Q. B., Chu, A. Y., Kang, J. H., Huang, J. Y., Rose, L. M., Jensen, M. K. et al. Fried food consumption, genetic risk, and body mass index: gene-diet interaction analysis in three US cohort studies. BMJ 348, g1610 (2014).
13. Rukh, G., Sonestedt, E., Melander, O., Hedblad, B., Wirfalt, E., Ericson, U. et al. Genetic susceptibility to obesity and diet intakes: association and interaction analyses in the Malmö Diet and Cancer Study. Genes Nutr. 8, 535-547 (2013).
14. Qi, Q., Li, Y., Chomistek, A. K., Kang, J. H., Curhan, G. C., Pasquale, L. R. et al. Television watching, leisure time physical activity, and the genetic predisposition in relation to body mass index in women and men. Circulation 126, 1821-1827 (2012).
15. Li, S., Zhao, J. H., Luan, J., Eklund, U., Luben, R. N., Khaw, K. T. et al. Physical activity attenuates the genetic predisposition to obesity in 20, 000 men and women from EPIC-Norfolk prospective population study. PLoS Med. 7, e1000332 (2010).
16. Kilpelainen, T. O., Qi, L., Brage, S., Sharp, S. J., Sonestedt, E., Demerath, E. et al. Physical activity attenuates the influence of FTO variants on obesity risk: a meta-analysis of 218, 166 adults and 19, 268 children. PLoS Med. 8, e1001116 (2011).
17. Manolio, T. A., Bailey-Wilson, J. E. & Collins, F. S. Genes, environment and the value of prospective cohort studies. Nat. Rev. Genet. 7, 812-820 (2006).
18. Karasawa, S., Daimon, M., Sasaki, S., Toriyama, S., Oizumi, T., Susa, S. et al. Association of the common fat mass and obesity associated (FTO) gene polymorphism with obesity in a Japanese population. Endocr. J. 57, 293-301 (2010).
19. Kohno, K., Narimatsu, H., Shiono, Y., Suzuki, I., Kato, Y., Fukao, A. et al. Management of erythropoiesis: cross-sectional study of the relationships between erythropoiesis and nutrition, physical features, and adiponectin in 3519 Japanese people. Eur. J. Haematol. 92, 298-307 (2014).
20. Konta, T., Hao, Z., Abiko, H., Ishikawa, M., Takahashi, T., Ikeda, A. et al. Prevalence and risk factor analysis of microalbuminuria in Japanese general population: the Takahata study. Kidney Int. 70, 751-756 (2006).
21. Lu, Y. & Loos, R. J. Obesity genomics: assessing the transferability of susceptibility loci across diverse populations. Genome Med. 5, 55 (2013).
22. WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 363, 157-163 (2004).
23. Okita, K., Iwahashi, H., Kozawa, J., Okauchi, Y., Funahashi, T., Imagawa, A. et al. Homeostasis model assessment of insulin resistance for evaluating insulin sensitivity in patients with type 2 diabetes on insulin therapy. Endocr. J. 60, 283-290 (2013).
24. Brinkman, G. L. & Coates, E. O. Jr. The effect of bronchitis, smoking, and occupation on ventilation. Ann. Rev. Respir. Dis. 87, 684-693 (1963).
25. Sasaki, S., Yanagibori, R. & Amano, K. Self-administered diet history questionnaire developed for health education: a relative validation of the test-version by comparison with 3-day diet record in women. J. Epidemiol. 8, 203-215 (1998).
26. Harada, A., Naito, Y., Inoue, S., Kitabatake, Y., Arao, T. & Ohashi, Y. Validity of a questionnaire for assessment of physical activity in the Japan Arteriosclerosis Longitudinal Study. Med. Sci. Sports Exerc. 35, S340 (2003).
27. Liu, E. Y., Li, M. Y., Wang, W. & Li, Y. MaCH-admix: genotype imputation for admixed populations. Genet. Epidemiol. 37, 25-37 (2013).
28. Evans, D. M., Visscher, P. M. & Wray, N. R. Harnessing the information contained within genome-wide association studies to improve individual prediction of complex disease risk. Hum. Mol. Genet 18, 3525-3531 (2009).
29. Wigginton, J. E., Cutler, D. J. & Abecasis, G. R. A note on exact tests of Hardy-Weinberg equilibrium. Am. J. Hum. Genet. 76, 887-893 (2005).
30. Wen, W., Cho, Y. S., Zheng, W., Dorajoo, R., Kato, N., Qi, L. et al. Meta-analysis identifies common variants associated with body mass index in east Asians. Nat. Genet. 44, 307-311 (2012).
31. Okada, Y., Kubo, M., Ohmiya, H., Takahashi, A., Kumasaka, N., Hosono, N. et al. Common variants at CDKAL1 and KLF9 are associated with body mass index in east Asian populations. Nat. Genet. 44, 302-306 (2012).
32. Manolio, T. A. Genomewide association studies and assessment of the risk of disease. N. Engl. J. Med. 363, 166-176 (2010).
33. Fall, T. & Ingelsson, E. Genome-wide association studies of obesity and metabolic syndrome. Mol. Cell. Endocrinol. 382, 740-757 (2014).
34. Cooper, R. S. Gene-environment interactions and the etiology of common complex disease. Ann. Intern. Med. 139, 437-440 (2003).
35. Marti, A., Martinez-Gonzalez, M. A. & Martinez, J. A. Interaction between genes and lifestyle factors on obesity. Proc. Nutr. Soc. 67, 1-8 (2008).
36. Howarth, N. C., Saltzman, E. & Roberts, S. B. Dietary fiber and weight regulation. Nutr. Rev. 59, 129-139 (2001).
37. Ludwig, D. S., Pereira, M. A., Kroenke, C. H., Hilner, J. E., Van, Horn, L., Slattery, M. L. et al. Dietary fiber, weight gain, and cardiovascular disease risk factors in young adults. JAMA 282, 1539-1546 (1999).
38. Slavin, J. L. Dietary fiber and body weight. Nutrition 21, 411-418 (2005).
39. Dick, K. J., Nelson, C. P., Tsaprouni, L., Snadling, J. K., Aissi, D., Wahl, S. et al. DNA methylation and body-mass index: a genome-wide analysis. Lancet 383, 1990-1998 (2014).
40. Graff, M., Ngwa, J. S., Workalemahu, T., Homuth, G., Schipf, S., Teumer, A. et al. Genome-wide analysis of BMI in adolescents and young adults reveals additional insight into the effects of genetic loci over the life course. Hum. Mol. Genet. 22, 3597-3607 (2013).
41. Funatogawa, I., Funatogawa, T., Nakao, M., Karita, K. & Yano, E. Changes in body mass index by birth cohort in Japanese adults: results from the National Nutrition Survey of Japan 1956-2005. Int. J. Epidemiol. 38, 83-92 (2009).
42. Yamagata University Genomic Cohort Consortium & Narimatsu, H. Constructing a contemporary gene-environmental cohort: study design of the Yamagata Molecular Epidemiological Cohort Study. J. Hum. Genet. 58, 54-56 (2013).
43. Tohoku University Tohoku Medical Megabank Organization. (2015). http://www.mega-bank.tohoku.ac.jp/english/. Accessed 9 September 2015.
44. Hamajima, N. Japan Multi-institutional Collaborative Cohort Study Group. The Japan Multi-Institutional Collaborative Cohort Study (J-MICC Study) to detect gene-environment interactions for cancer. Asian Pac. J. Cancer Prev. 8, 317-323 (2007).
45. Manolio, T. A., Collins, F. S., Cox, N. J., Goldstein, D. B., Hindroff, L. A., Hunter, D. J. et al. Finding the missing heritability of complex diseases. Nature 461, 747-753 (2009).
46. Booth, K. M., Pinkston, M. M. & Poston, W. S. C. Obesity and the built environment. J. Am. Diet Assoc. 105, S110-S117 (2005).