Evidence of a quantitative trait locus for energy and macronutrient intakes on chromosome 3q27.3: The Quebec family study

American Journal of Clinical Nutrition

Volumn 88, Issue 4, 2008, Pages 1142-1148

  Choquette, Anne C ^a   Lemieux, Simone ^a,b   Tremblay, Angela ^a,b   Chagnon, Yvon C ^c   Bouchard, Claude ^d   Vohl, Marie Claude ^a,b   Pérusse, Louis ^a  

^a UNIVERSITÉ LAVAL   (Canada)

^b LAVAL UNIVERSITY   (Canada)

^c CENTRE DE RECHERCHE DE L INSTITUT UNIVERSITAIRE EN SANTÉ MENTALE DE QUÉBEC   (Canada)

^d PENNINGTON BIOMEDICAL RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADIPONECTIN; CARBOHYDRATE; LIPID; PROTEIN;

ADULT; ARTICLE; BODY MASS; BODY SIZE; CALORIC INTAKE; CHROMOSOME 1P; CHROMOSOME 3Q; CONTROLLED STUDY; FEMALE; GENETIC LINKAGE; GENOME ANALYSIS; GENOTYPE; HUMAN; MACRONUTRIENT; MAJOR CLINICAL STUDY; MALE; MEDICAL RECORD; NUTRITIONAL ASSESSMENT; QUANTITATIVE TRAIT LOCUS;

EID: 53849083090     PISSN: 00029165     EISSN: None     Source Type: Journal    
DOI: 10.1093/ajcn/88.4.1142     Document Type: Article

References (49)

1. Rankinen T, Zuberi A, Chagnon YC, et al. The human obesity gene map: the 2005 update. Obesity (Silver Spring) 2006;14:529-644.
2. Jeffery RW, Harnack LJ. Evidence implicating eating as a primary driver for the obesity epidemic. Diabetes 2007;56:2673-6.
3. Perusse L, Tremblay A, Leblanc C, et al. Familial resemblance in energy intake: contribution of genetic and environmental factors. Am J Clin Nutr 1988;47:629-35.
4. Rankinen T, Bouchard C. Genetics of food intake and eating behavior phenotypes in humans. Annu Rev Nutr 2006;26:413-34.
5. Faith MS, Rha SS, Neale MC, Allison DB. Evidence for genetic influences on human energy intake: results from a twin study using measured observations. Behav Genet 1999;29:145-54.
6. Boutin P, Dina C, Vasseur F, et al. GAD2 on chromosome 10pl2 is a candidate gene for human obesity. PLoS Biol 2003;1:E68.
7. Boutin P, Froguel P. GAD2: a polygenic contribution to genetic susceptibility for common obesity? Pathol Biol (Paris) 2005;53:305-7.
8. Durand E, Boutin P, Meyre D, et al. Polymorphisms in the amino acid transporter solute carrier family 6 (neurotransmitter transporter) member 14 gene contribute to polygenic obesity in French Caucasians. Diabetes 2004;53:2483-6.
9. Dziedzic B, Szemraj J, Bartkowiak J, Walczewska A. Various dietary fats differentially change the gene expression of neuropeptides involved in body weight regulation in rats. J Neuroendocrinol 2007; 19:364-73.
10. Suviolahti E, Oksanen LJ, Ohman M, et al. The SLC6A14 gene shows evidence of association with obesity. J Clin Invest 2003; 112:1762-72.
11. Adan RA, Tiesjema B, Hillebrand JJ, la Fleur SE, Kas MJ, de Krom M. The MC4 receptor and control of appetite. Br J Pharmacol 2006; 149: 815-27.
12. Schwartz MW, Woods SC, Porte D Jr, Seeley RJ, Baskin DG. Central nervous system control of food intake. Nature 2000;404:661-71.
13. Collaku A, Rankinen T, Rice T, et al. A genome-wide linkage scan for dietary energy and nutrient intakes: the Health, Risk Factors, Exercise Training, and Genetics (HERITAGE) Family Study. Am J Clin Nutr 2004;79:881-6.
14. Cai G, Cole SA, Butte N, et al. A quantitative trait locus on chromosome 18q for physical activity and dietary intake in Hispanic children. Obesity (Silver Spring) 2006; 14:1596-604.
15. Samama P, Rumennik L, Grippo JF. The melanocortin receptor MCR4 controls fat consumption. Regul Pept 2003;113:85-8.
16. Loos RJ, Rankinen T, Tremblay A, Perusse L, Chagnon Y, Bouchard C. Melanocortin-4 receptor gene and physical activity in the Quebec Family Study. Int J Obes (Lond) 2005;29:420-8.
17. Cai G, Cole SA, Bastarrachea RA, Maccluer JW, Blangero J, Comuzzie AG. Quantitative trait locus determining dietary macronutrient intakes is located on human chromosome 2p22. Am J Clin Nutr 2004;80:1410-4.
18. Steinle NI, Hsueh WC, Snitker S, et al. Eating behavior in the Old Order Amish: heritability analysis and a genome-wide linkage analysis. Am J Clin Nutr 2002;75:1098-106.
19. Bouchard L, Drapeau V, Provencher V, et al. Neuromedin beta: a strong candidate gene linking eating behaviors and susceptibility to obesity. Am J Clin Nutr 2004;80:1478-86.
20. Bouchard C. Genetic epidemiology, association, and sib-pair linkage: results from the Québec Family Study. In: Bray G, Ryan D, eds. Molecular and genetic aspects of obesity. Baton Rouge, LA: Louisiana State University Press, 1996:470-81.
21. Lohman TRA, Martorel R. The Airlie consensus conference: standardization of anthropometric measurements. Champaign, IL: Human Kinetics Publishers, 1988.
22. Tremblay AJS, C Leblanc, Bouchard C. The reproducibility of a threeday dietary record. Nutr Res 1983;3:819-30.
23. Verdier P, Beare-Rogers JL. The Canadian Nutrient File. J Can Diet Assoc 1984;45:52-5.
24. Chagnon YC, Borecki IB, Perusse L, et al. Genome-wide search for genes related to the fat-free body mass in the Quebec family study. Metabolism 2000;49:203-7.
25. Elston RC, Buxbaum S, Jacobs KB, Olson JM. Haseman and Elston revisited. Genet Epidemiol 2000;19:1-17.
26. SAGE: Statistical Analysis for Genetic Epidemiology software, version 5.1.1. Cork, Ireland, Statistical Solutions Ltd, 2005.
27. Abecasis GR, Cherny SS, Cookson WO, Cardon LR. Merlin-rapid analysis of dense genetic maps using sparse gene flow trees. Nat Genet 2002;30:97-101.
28. Sutton BS, Weinert S, Langefeld CD, et al. Genetic analysis of adiponectin and obesity in Hispanic families: the IRAS Family Study. Hum Genet 2005;117:107-18.
29. Gale SM, Castracane VD, Mantzoros CS. Energy homeostasis, obesity and eating disorders: recent advances in endocrinology. J Nutr 2004; 134:295-8.
30. Kubota N, Yano W, Kubota T, et al. Adiponectin stimulates AMP-activated protein kinase in the hypothalamus and increases food intake. Cell Metab 2007;6:55-68.
31. Cecil JE, Watt P, Palmer CN, Hetherington M. Energy balance and food intake: the role of PPARgamma gene polymorphisms. Physiol Behav 2006;88:227-33.
32. Kishi T, Aschkenasi CJ, Lee CE, Mountjoy KG, Saper CB, Elmquist JK. Expression of melanocortin 4 receptor mRNA in the central nervous system of the rat. J Comp Neurol 2003;457:213-35.
33. Mountjoy KG, Mortrud MT, Low MJ, Simerly RB, Cone RD. Localization of the melanocortin-4 receptor (MC4-R) in neuroendocrine and autonomic control circuits in the brain. Mol Endocrinol 1994;8:1298-308.
34. Chagnon YC, Chen WJ, Perusse L, et al. Linkage and association studies between the melanocortin receptors 4 and 5 genes and obesity-related phenotypes in the Quebec Family Study. Mol Med 1997;3:663-73.
35. Loos RJ, Lindgren CM, Li S, et al. Common variants near MC4R are associated with fat mass, weight and risk of obesity. Nat Genet 2008; 40:768-75.
36. Reed DR, Bachmanov AA, Beauchamp GK, Tordoff MG, Price RA. Heritable variation in food preferences and their contribution to obesity. Behav Genet 1997;27:373-87.
37. Hill RJ, Davies PS. The validity of self-reported energy intake as determined using the doubly labelled water technique. Br J Nutr 2001;85: 415-30.
38. Trabulsi J, Schoeller DA. Evaluation of dietary assessment instruments against doubly labeled water, a biomarker of habitual energy intake. Am J Physiol Endocrinol Metab 2001;281:E891-9.
39. Smith Richards BK, Belton BN, Poole AC, et al. QTL analysis of selfselected macronutrient diet intake: fat, carbohydrate, and total kilocalories. Physiol Genomics 2002;11:205-17.
40. Lewis CE, North KE, Arnett D, et al. Sex-specific findings from a genome-wide linkage analysis of human fatness in non-Hispanic whites and African Americans: the HyperGEN study. Int J Obes (Lond) 2005; 29:639-49.
41. Dai F, Keighley ED, Sun G, et al. Genome-wide scan for adiposityrelated phenotypes in adults from American Samoa. Int J Obes (Lond) 2007;31:1832-42.
42. Luke A, Wu X, Zhu X, Kan D, Su Y, Cooper R. Linkage for BMI at 3q27 region confirmed in an African-American population. Diabetes 2003; 52:1284-7.
43. Wu X, Cooper RS, Borecki I, et al. A combined analysis of genomewide linkage scans for body mass index from the National Heart, Lung, and Blood Institute Family Blood Pressure Program. Am J Hum Genet 2002; 70:1247-56.
44. Chagnon YC, Perusse L, Lamothe M, et al. Suggestive linkages between markers on human 1p32-p22 and body fat and insulin levels in the Quebec Family Study. Obes Res 1997;5:115-21.
45. Bloch AS. Low carbohydrate diets, pro: time to rethink our current strategies. Nutr Clin Pract 2005;20:3-12.
46. Crowe TC. Safety of low-carbohydrate diets. Obes Rev 2005;6:235-45.
47. Meckling KA, O'Sullivan C, Saari D. Comparison of a low-fat diet to a low-carbohydrate diet on weight loss, body composition, and risk factors for diabetes and cardiovascular disease in free-living, overweight men and women. J Clin Endocrinol Metab 2004;89:2717-23.
48. Chagnon YC, Rice T, Perusse L, et al. Genomic scan for genes affecting body composition before and after training in Caucasians from HERITAGE. J Appl Physiol 2001;90:1777-87.
49. Lindsay RS, Kobes S, Knowler WC, Bennett PH, Hanson RL. Genomewide linkage analysis assessing parent-of-origin effects in the inheritance of type 2 diabetes and BMI in Pima Indians. Diabetes 2001;50: 2850-7.