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Erschienen in: European Journal of Nutrition 8/2006

01.12.2006 | ORIGINAL CONTRIBUTION

Genotype-by-nutrient interactions assessed in European obese women

A case-only study

verfasst von: Jose L. Santos, Philippe Boutin, Camilla Verdich, Claus Holst, Lesli H. Larsen, Soren Toubro, Christian Dina, Wim H.M. Saris, Ellen E. Blaak, Johnatan Hoffstedt, Moira A. Taylor, Jan Polak, Karine Clement, Dominique Langin, Arne Astrup, Philippe Froguel, Oluf Pedersen, Thorkild I.A. Sorensen, J. Alfredo Martinez, The NUGENOB* consortium

Erschienen in: European Journal of Nutrition | Ausgabe 8/2006

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Abstract

Background

The development of obesity is influenced by both genetic and environmental risk factors. Whereas changes in the environment appear to be responsible for the increasing prevalence of obesity, genetic factors interacting with environmental factors would contribute to explain obesity onset and severity.

Aim

To explore epidemiologic genotype-by-nutrient interactions in obesity.

Methods

A total of 42 polymorphisms of 26 candidate genes for obesity were genotyped in 549 adult obese women recruited from eight European centres in a case-only study. The nutritional variables assessed in this study were the dietary fibre intake (grams per day), the ratio of dietary polyunsaturated fat to saturated fat (P:S ratio) and the percentage of energy derived from fat in the diet as calculated from a weighed three-day food record (%E). Under the assumption of genotype-nutrient independence in the population, the odds ratio calculated in a sample of obese women would indicate the existence of genotype-by-nutrient interactions, measured as deviations from the multiplicative effects of the genetic and the nutrient factors separately.

Results

No new but confirmaty evidences for genotype-by-nutrient interactions in obesity were detected in this case-only study. The test of interaction between fibre intake and the −514 C > T polymorphism of the hepatic lipase gene (LIPC) yielded P-values of 0.01 across different statistical models. Likewise, the −11377G > C polymorphism of the adiponectin gene (ADIPOQ) and the −681 C > G polymorphism of the PPARG3 gene might interact with the percentage of energy derived from fat in the diet for the development of obesity (P-values in the range of 0.01–0.05 across different statistical models). The P-values were not adjusted for multiple testing, so these results should be considered with caution.

Conclusions

Although the use of obese-only samples is theoretically a useful approach to detect interactions, few genotype-by-nutrient interactions have been suggested in obese European women after the analysis of candidate polymorphisms and the selected nutrient variables. The most remarkable multiplicative interaction found in this study refers to the combination of the hepatic lipase gene polymorphism −514 C > T and fibre intake.
Literatur
1.
Zurück zum Zitat Martinez JA (2000) Body-weight regulation: causes of obesity. Proc Nutr Soc 59: 337–345 Martinez JA (2000) Body-weight regulation: causes of obesity. Proc Nutr Soc 59: 337–345
2.
Zurück zum Zitat WHO/FAO expert consultation (2003) Diet, nutrition and the prevention of chronic diseases. WHO Technical report series 916. World Health Organisation, Geneva, pp 1–4 WHO/FAO expert consultation (2003) Diet, nutrition and the prevention of chronic diseases. WHO Technical report series 916. World Health Organisation, Geneva, pp 1–4
3.
Zurück zum Zitat Hill JO, Peters JC (1998) Environmental contributions to the obesity epidemic. Science 280:1371–1374CrossRef Hill JO, Peters JC (1998) Environmental contributions to the obesity epidemic. Science 280:1371–1374CrossRef
4.
Zurück zum Zitat Stein CJ, Colditz GA (2004) The epidemic of obesity. J Clin Endocrinol Metab 89:2522–2525CrossRef Stein CJ, Colditz GA (2004) The epidemic of obesity. J Clin Endocrinol Metab 89:2522–2525CrossRef
5.
Zurück zum Zitat Rankinen T, Zuberi A, Chagnon YC, Weisnagel SJ, Argyropoulos G, Walts B, Pérusse L, Bouchard C (2006). The human obesity gene map: the 2005 Update. Obesity 14:529–644 Rankinen T, Zuberi A, Chagnon YC, Weisnagel SJ, Argyropoulos G, Walts B, Pérusse L, Bouchard C (2006). The human obesity gene map: the 2005 Update. Obesity 14:529–644
6.
Zurück zum Zitat Verdich C, Clement K, Sørensen T (2004) Nutrient-gene interactions in the control of obesity. In: Remacle C, Reusens B (eds) Functional foods, ageing and degenerative disease. Woodhead Publishing Ltd, Cambridge, pp 223–259 Verdich C, Clement K, Sørensen T (2004) Nutrient-gene interactions in the control of obesity. In: Remacle C, Reusens B (eds) Functional foods, ageing and degenerative disease. Woodhead Publishing Ltd, Cambridge, pp 223–259
7.
Zurück zum Zitat Bell CG, Walley AJ, Froguel P (2005) The genetics of human obesity. Nat Genet Rev 6:221–235CrossRef Bell CG, Walley AJ, Froguel P (2005) The genetics of human obesity. Nat Genet Rev 6:221–235CrossRef
8.
Zurück zum Zitat Marti A, Moreno-Aliaga MJ, Hebebrand J, Martinez JA (2004) Genes, lifestyles and obesity. Int J Obes 28(Suppl 3):S29–S36CrossRef Marti A, Moreno-Aliaga MJ, Hebebrand J, Martinez JA (2004) Genes, lifestyles and obesity. Int J Obes 28(Suppl 3):S29–S36CrossRef
9.
Zurück zum Zitat Gibney MJ, Gibney ER (2004) Diet, genes and disease: implications for nutrition policy. Proc Nutr Soc 63:491–500CrossRef Gibney MJ, Gibney ER (2004) Diet, genes and disease: implications for nutrition policy. Proc Nutr Soc 63:491–500CrossRef
10.
Zurück zum Zitat Nieters A, Becker N, Linseisen J (2002) Polymorphisms in candidate obesity genes and their interaction with dietary intake of n-6 polyunsaturated fatty acids affect obesity risk in a sub-sample of the EPIC-Heidelberg cohort. Eur J Nutr 41:210–221CrossRef Nieters A, Becker N, Linseisen J (2002) Polymorphisms in candidate obesity genes and their interaction with dietary intake of n-6 polyunsaturated fatty acids affect obesity risk in a sub-sample of the EPIC-Heidelberg cohort. Eur J Nutr 41:210–221CrossRef
11.
Zurück zum Zitat Luan J, Browne PO, Harding AH, Halsall DJ, O’Rahilly S, Chatterjee VK, Wareham NJ (2001) Evidence for gene-nutrient interaction at the PPARgamma locus. Diabetes 50:686–9 Luan J, Browne PO, Harding AH, Halsall DJ, O’Rahilly S, Chatterjee VK, Wareham NJ (2001) Evidence for gene-nutrient interaction at the PPARgamma locus. Diabetes 50:686–9
12.
Zurück zum Zitat Memisoglu A, Hu FB, Hankinson SE, Manson JE, De Vivo I, Willett WC, Hunter DJ (2003) Interaction between a peroxisome proliferator-activated receptor gamma gene polymorphism and dietary fat intake in relation to body mass. Hum Mol Genet 12:2923–2929CrossRef Memisoglu A, Hu FB, Hankinson SE, Manson JE, De Vivo I, Willett WC, Hunter DJ (2003) Interaction between a peroxisome proliferator-activated receptor gamma gene polymorphism and dietary fat intake in relation to body mass. Hum Mol Genet 12:2923–2929CrossRef
13.
Zurück zum Zitat Martinez JA, Corbalan MS, Sanchez-Villegas A, Forga L, Marti A, Martinez-Gonzalez MA (2003) Obesity risk is associated with carbohydrate intake in women carrying the Gln27Glu beta2-adrenoceptor polymorphism. J Nutr 133:2549 –2554 Martinez JA, Corbalan MS, Sanchez-Villegas A, Forga L, Marti A, Martinez-Gonzalez MA (2003) Obesity risk is associated with carbohydrate intake in women carrying the Gln27Glu beta2-adrenoceptor polymorphism. J Nutr 133:2549 –2554
14.
Zurück zum Zitat Astrup A, Grunwald GK, Melanson EL, Saris WHM, Hill JO (2000) The role of low-fat diets in body weight control: a meta-analysis of ad libitum intervention studies. Int J Obes 24:1545–1552CrossRef Astrup A, Grunwald GK, Melanson EL, Saris WHM, Hill JO (2000) The role of low-fat diets in body weight control: a meta-analysis of ad libitum intervention studies. Int J Obes 24:1545–1552CrossRef
15.
Zurück zum Zitat Zhang C, Lopez-Ridaura R, Rimm EB, Rifai N, Hunter DJ, Hu FB (2005). Interactions between the −514C- > T polymorphism of the hepatic lipase gene and lifestyle factors in relation to HDL concentrations among US diabetic men. Am J Clin Nutr 81:1255–1256 Zhang C, Lopez-Ridaura R, Rimm EB, Rifai N, Hunter DJ, Hu FB (2005). Interactions between the −514C- > T polymorphism of the hepatic lipase gene and lifestyle factors in relation to HDL concentrations among US diabetic men. Am J Clin Nutr 81:1255–1256
16.
Zurück zum Zitat Hunter DJ (2005) Gene-environment interactions in human diseases. Nat Rev Genet 6:287–298CrossRef Hunter DJ (2005) Gene-environment interactions in human diseases. Nat Rev Genet 6:287–298CrossRef
17.
Zurück zum Zitat Liu X, Fallin D, Kao WHL (2004) Genetic dissection methods: designs used for tests of gene-environment interaction. Curr Op Gen Dev 14:241–245CrossRef Liu X, Fallin D, Kao WHL (2004) Genetic dissection methods: designs used for tests of gene-environment interaction. Curr Op Gen Dev 14:241–245CrossRef
18.
Zurück zum Zitat Weinberg CR, Umbach DM (2000) Choosing a retrospective design to assess joint genetic and environmental contributions to risk. Am J Epidemiol 152:197–203CrossRef Weinberg CR, Umbach DM (2000) Choosing a retrospective design to assess joint genetic and environmental contributions to risk. Am J Epidemiol 152:197–203CrossRef
19.
Zurück zum Zitat Schmidt S, Schaid D (1999) Potential misinterpretation of the case-only study to assess gene-environment interaction. Am J Epidemiol 150:878–885 Schmidt S, Schaid D (1999) Potential misinterpretation of the case-only study to assess gene-environment interaction. Am J Epidemiol 150:878–885
20.
Zurück zum Zitat Gatto NM, Campbell UB, Rundle AG, Ahsan H (2004). Further development of the case-only design for assessing gene-environment interaction: evaluation of and adjustment for bias. Int J Epidemiol 33:1014–1024CrossRef Gatto NM, Campbell UB, Rundle AG, Ahsan H (2004). Further development of the case-only design for assessing gene-environment interaction: evaluation of and adjustment for bias. Int J Epidemiol 33:1014–1024CrossRef
21.
Zurück zum Zitat Yang Q, Khoury MJ, Sun F, Flanders WD (1999) Case-only design to measure gene-gene interaction. Epidemiology 10:167–170CrossRef Yang Q, Khoury MJ, Sun F, Flanders WD (1999) Case-only design to measure gene-gene interaction. Epidemiology 10:167–170CrossRef
22.
Zurück zum Zitat Albert PS, Ratnasinhe D, Tangrea J, Wacholder S (2001) Limitations of the case-only design for identifying gene-environment interactions. Am J Epidemiol 154:687–693CrossRef Albert PS, Ratnasinhe D, Tangrea J, Wacholder S (2001) Limitations of the case-only design for identifying gene-environment interactions. Am J Epidemiol 154:687–693CrossRef
23.
Zurück zum Zitat Sorensen TIA, Boutin P, Taylor MA, Larsen LH, Verdich C, et al. (2006) Genetic polymorphisms and weight loss in obesity: A randomised trial of hypo-energetic high- versus low-fat diets. PLoS Clin Trials 1(2): e12. DOI: 10.1371/journal.pctr.0010012CrossRef Sorensen TIA, Boutin P, Taylor MA, Larsen LH, Verdich C, et al. (2006) Genetic polymorphisms and weight loss in obesity: A randomised trial of hypo-energetic high- versus low-fat diets. PLoS Clin Trials 1(2): e12. DOI: 10.1371/journal.pctr.0010012CrossRef
24.
Zurück zum Zitat Austin MA, Ordovas JM, Eckfeldt JH, Tracy R, Boerwinkle E, Lalouel JM, Printz M (1996) Guidelines of the national heart, lung, and blood institute working group on blood drawing, processing, and storage for genetic studies. Am J Epidemiol 144:437–441 Austin MA, Ordovas JM, Eckfeldt JH, Tracy R, Boerwinkle E, Lalouel JM, Printz M (1996) Guidelines of the national heart, lung, and blood institute working group on blood drawing, processing, and storage for genetic studies. Am J Epidemiol 144:437–441
25.
Zurück zum Zitat Piegorsch WW, Weinberg CR, Taylor JA (1994) Non-hierarchical logistic models and case-only designs for assessing susceptibility in population-based case-control studies. Stat Med 13:153–162 Piegorsch WW, Weinberg CR, Taylor JA (1994) Non-hierarchical logistic models and case-only designs for assessing susceptibility in population-based case-control studies. Stat Med 13:153–162
26.
Zurück zum Zitat Redden DT, Allison DB (2003) Nonreplication in genetic association studies of obesity and diabetes research. J Nutr 133:3323–3326 Redden DT, Allison DB (2003) Nonreplication in genetic association studies of obesity and diabetes research. J Nutr 133:3323–3326
27.
Zurück zum Zitat Barroso I, Luan J, Middelberg RP, Harding A, Franks PW, Jakes RW, Clayton D, Schafer AJ, O’Rahilly S, Wareham NJ (2003) Candidate Gene Association Study in Type 2 Diabetes Indicates a Role for Genes Involved in β-Cell Function as Well as Insulin Action. PLoS Biol 1:41–45CrossRef Barroso I, Luan J, Middelberg RP, Harding A, Franks PW, Jakes RW, Clayton D, Schafer AJ, O’Rahilly S, Wareham NJ (2003) Candidate Gene Association Study in Type 2 Diabetes Indicates a Role for Genes Involved in β-Cell Function as Well as Insulin Action. PLoS Biol 1:41–45CrossRef
28.
Zurück zum Zitat Perneger TV. (1999) Adjusting for multiple testing in studies is less important than other concerns. Brit Med J 318:1288 Perneger TV. (1999) Adjusting for multiple testing in studies is less important than other concerns. Brit Med J 318:1288
29.
Zurück zum Zitat Stefan N, Schafer S, Machicao F, Machann J, Schick F, Claussen CD, Stumvoll M, Haring HU, Fritsche A (2005) Liver fat and insulin resistance are independently associated with the −514C > T polymorphism of the hepatic lipase gene. J Clin Endocrinol Metab 90:4238–4243CrossRef Stefan N, Schafer S, Machicao F, Machann J, Schick F, Claussen CD, Stumvoll M, Haring HU, Fritsche A (2005) Liver fat and insulin resistance are independently associated with the −514C > T polymorphism of the hepatic lipase gene. J Clin Endocrinol Metab 90:4238–4243CrossRef
30.
Zurück zum Zitat Lopez IP, Milagro FI, Marti A, Moreno-Aliaga MJ, Martinez JA, De Miguel C (2004) Gene expression changes in rat white adipose tissue after a high-fat diet determined by differential display. Biochem Biophys Res Commun 318:234–239CrossRef Lopez IP, Milagro FI, Marti A, Moreno-Aliaga MJ, Martinez JA, De Miguel C (2004) Gene expression changes in rat white adipose tissue after a high-fat diet determined by differential display. Biochem Biophys Res Commun 318:234–239CrossRef
31.
Zurück zum Zitat Li J, Yu X, Pan W, Unger RH (2002) Gene expression profile of rat adipose tissue at the onset of high-fat-diet obesity. Am J Physiol 282:E1334–E1341 Li J, Yu X, Pan W, Unger RH (2002) Gene expression profile of rat adipose tissue at the onset of high-fat-diet obesity. Am J Physiol 282:E1334–E1341
32.
Zurück zum Zitat Marti A, Corbalan MS, Martinez-Gonzalez MA, Forga L, Martinez JA (2002) CHO intake alters obesity risk associated with Pro12Ala polymorphism of PPARG gene. J Physiol Biochem 58:219–220CrossRef Marti A, Corbalan MS, Martinez-Gonzalez MA, Forga L, Martinez JA (2002) CHO intake alters obesity risk associated with Pro12Ala polymorphism of PPARG gene. J Physiol Biochem 58:219–220CrossRef
33.
Zurück zum Zitat NUGENOB consortium represented by Dina C, Petersen L, Larsen LH (2004) Geographical distribution of obesity-related genotypes across Europe. Int J Obes 28(Suppl 1):S5 NUGENOB consortium represented by Dina C, Petersen L, Larsen LH (2004) Geographical distribution of obesity-related genotypes across Europe. Int J Obes 28(Suppl 1):S5
34.
Zurück zum Zitat Wang Y, Localio R, Rebbeck TR (2006) Evaluating bias due to population stratification in epidemiologic studies of gene-gene or gene-environment interactions. Cancer Epidemiol Biomarkers Prev 15:124–132CrossRef Wang Y, Localio R, Rebbeck TR (2006) Evaluating bias due to population stratification in epidemiologic studies of gene-gene or gene-environment interactions. Cancer Epidemiol Biomarkers Prev 15:124–132CrossRef
35.
Zurück zum Zitat Gibney MJ (1999) Nutrition, physical activity and health status in Europe: an overview. Public Health Nutr 2:329–333CrossRef Gibney MJ (1999) Nutrition, physical activity and health status in Europe: an overview. Public Health Nutr 2:329–333CrossRef
36.
Zurück zum Zitat Martinez-Gonzalez MA, Martinez JA, Hu FB, Gibney MJ, Kearney J (1999) Physical inactivity, sedentary lifestyle and obesity in the European Union. Int J Obes 23:1192–1201CrossRef Martinez-Gonzalez MA, Martinez JA, Hu FB, Gibney MJ, Kearney J (1999) Physical inactivity, sedentary lifestyle and obesity in the European Union. Int J Obes 23:1192–1201CrossRef
37.
Zurück zum Zitat Lissner L (2002) Measuring food intake in studies of obesity. Public Health Nutr 5:889–892CrossRef Lissner L (2002) Measuring food intake in studies of obesity. Public Health Nutr 5:889–892CrossRef
Metadaten
Titel
Genotype-by-nutrient interactions assessed in European obese women
A case-only study
verfasst von
Jose L. Santos
Philippe Boutin
Camilla Verdich
Claus Holst
Lesli H. Larsen
Soren Toubro
Christian Dina
Wim H.M. Saris
Ellen E. Blaak
Johnatan Hoffstedt
Moira A. Taylor
Jan Polak
Karine Clement
Dominique Langin
Arne Astrup
Philippe Froguel
Oluf Pedersen
Thorkild I.A. Sorensen
J. Alfredo Martinez
The NUGENOB* consortium
Publikationsdatum
01.12.2006
Erschienen in
European Journal of Nutrition / Ausgabe 8/2006
Print ISSN: 1436-6207
Elektronische ISSN: 1436-6215
DOI
https://doi.org/10.1007/s00394-006-0619-6

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