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Home All issues Volume 19 / No 10 (Octobre 2003) Med Sci (Paris), 19 10 (2003) 937-942 References
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Issue
Med Sci (Paris)
Volume 19, Number 10, Octobre 2003
Page(s) 937 - 942
Section M/S Revues
DOI https://doi.org/10.1051/medsci/20031910937
Published online 15 October 2003
  1. Pérusse L, Chagnon YC, Rice T, Rao DC, Bouchard C. L’épidémiologie génétique et la génétique moléculaire de l’obésité: les enseignements de l’étude des familles de Québec. Med Sci 1998; 14: 914–24. [Google Scholar]
  2. Chagnon YC, Rankinen T, Snyder EE, Weisnagel SJ, Pérusse L, Bouchard C. The human obesity gene map: the 2002 update. Obes Res 2003; 11: 313–67. [Google Scholar]
  3. Katzmarzyk PT, Pérusse L, Rao DC, Bouchard C. Familial risk of obesity and central adipose tissue distribution in the general Canadian population. Am J Epidemiol 1999; 149: 933–42. [Google Scholar]
  4. Katzmarzyk PT, Pérusse L, Rao DC, Bouchard C. Familial risk of overweight and obesity in the Canadian population using the WHO/NIH criteria. Obes Res 2000; 8: 194–7. [Google Scholar]
  5. Bouchard C. Genetic epidemiology, association and sib-pair linkage: results from the Quebec Family Study. In: Bray GA, Ryan DH, eds. Molecular and genetic aspects of obesity. Baton Rouge: Louisiana State University Press, 1996: 470–81. [Google Scholar]
  6. Pérusse L, Tremblay A, Leblanc C, et al. Familial resemblance in energy intake: contribution of genetic and environnemental factors. Am J Clin Nutr 1988; 47: 629–35. [Google Scholar]
  7. Simonen RL, Perusse L, Rankinen T, Rice T, Rao DC, Bouchard C. Familial aggregation of physical activity levels in the Quebec Family Study. Med Sci Sports Exerc 2002; 34: 1137–42. [Google Scholar]
  8. Pérusse L, Després JP, Tremblay A, et al. Genetic and environmental determinants of serum lipids and lipoproteins in French Canadian families. Arteriosclerosis 1989; 9: 308–18. [Google Scholar]
  9. Rice T, Vogler GP, Perusse L, Bouchard C, Rao DC. Cardiovascular risk factors in a French Canadian population: resolution of genetic and familial environmental effects on blood pressure using twins, adoptees, and extensive information on environmental correlates. Genet Epidemiol 1989; 6: 571–88. [Google Scholar]
  10. Rice T, Perusse L, Bouchard C, Rao DC. Familial aggregation of body mass index and subcutaneous fat measures in the longitudinal Quebec family study. Genet Epidemiol 1999; 16: 316–34. [Google Scholar]
  11. Hunt MS, Katzmarzyk PT, Perusse L, Rice T, Rao DC, Bouchard C. Familial resemblance of 7-year changes in body mass and adiposity. Obes Res 2002; 10: 507–17. [Google Scholar]
  12. Bouchard C. Genetics and the metabolic syndrome. Int J Obes Relat Metab Disord 1995; 19 (suppl 1): S52–9. [Google Scholar]
  13. Groop L. Genetics of the metabolic syndrome. Br J Nutr 2000; 83 (suppl1): S39–48. [Google Scholar]
  14. Ukkola O, Bouchard C. Clustering of metabolic abnormalities in obese individuals: the role of genetic factors. Ann Med 2001; 33: 79–90. [Google Scholar]
  15. Bougneres P. Genetics of obesity and type 2 diabetes: tracking pathogenic traits during the predisease period. Diabetes 2002; 51 (suppl3): S295–303. [Google Scholar]
  16. Chagnon YC, Borecki IB, Perusse L, et al. Genomewide search for genes related to the fat-free body mass in the Quebec family study. Metabolism 2000; 49: 203–7. [Google Scholar]
  17. Pérusse L, Rice T, Chagnon Y, et al. A genome-wide scan for abdominal fat assessed by computed tomography in the Quebec Family Study. Diabetes 2001; 50: 614–21. [Google Scholar]
  18. Rice T, Rankinen T, Province MA, et al. Genome-wide linkage analysis of systolic and diastolic blood pressure: the Quebec Family Study. Circulation 2000; 102: 1956–63. [Google Scholar]
  19. Bossé Y, Pérusse L, Després JP, et al. Evidence for a major quantitative trait locus on chromosome 17q21 affecting lowdensity lipoprotein peak particle diameter. Circulation 2003; 107: 2361–8. [Google Scholar]
  20. Comuzzie AG, Williams JT, Martin LJ, Blangero J. Searching for genes underlying normal variation in human adiposity. J Mol Med 2001; 79: 57–70. [Google Scholar]
  21. Chagnon YC, Chung WK, Pérusse L, Chagnon M, Leibel RL, Bouchard C. Linkages and associations between the leptin receptor (LEPR) gene and human body composition in the Quebec Family Study. Int J Obes Relat Metab Disord 1999; 23: 278–86. [Google Scholar]
  22. Vohl MC, Dionne FT, Pérusse L, Dériaz O, Chagnon M, Bouchard C. Relation between BglII polymorphism in 3 β-hydroxysteroid dehydrogenase gene and adipose-tissue distribution in human. Obes Res 1994; 2: 444–9. [Google Scholar]
  23. Dériaz O, Dionne F, Pérusse L, et al. DNA variation in the genes of the Na, K-adenosine triphosphatase and its relation with resting metabolic rate, respiratory quotient, and body fat. J Clin Invest 1994; 93: 838–43. [Google Scholar]
  24. Katzmarzyk PT, Rankinen T, Pérusse L, et al. Linkage and association of the sodium potassiumadenosine triphosphatase α2 and β genes with respiratory quotient and resting metabolic rate in the Quebec Family Study. J Clin Endocrinol Metab 1999; 84: 2093–7. [Google Scholar]
  25. Ukkola O, Ravussin E, Jacobson P, et al. Role of ghrelin polymorphisms in obesity based on three different studies. Obes Res 2002; 10: 782–91. [Google Scholar]
  26. Robitaille J, Despres JP, Perusse L, Vohl MC. The PPAR-γ P12A polymorphism modulates the relationship between dietary fat intake and components of the metabolic syndrome: results from the Quebec Family Study. Clin Genet 2003; 63: 109–16. [Google Scholar]
  27. Oppert JM, Vohl MC, Chagnon M, et al. DNA polymorphism in the uncoupling protein (UCP) gene and human body fat. Int J Obes Relat Metab Disord 1994; 18: 526–31. [Google Scholar]
  28. Buemann B, Vohl MC, Chagnon M, et al. Abdominal visceral fat is associated with a BclI restriction fragment length polymorphism at the glucocorticoid receptor gene locus. Obes Res 1997; 5: 186–92. [Google Scholar]
  29. Ukkola O, Pérusse L, Weisnagel SJ, et al. Interactions among the glucocorticoid receptor, lipoprotein lipase, and adrenergic receptor genes and plasma insulin and lipid levels in the Quebec Family Study. Metabolism 2001; 50: 246–52. [Google Scholar]
  30. Ukkola O, Rankinen T, Weisnagel SJ, et al. Interactions among the α2-, β2-, and β3-adrenergic receptor genes and obesity-related phenotypes in the Quebec Family Study. Metabolism 2000; 49: 1063–70. [Google Scholar]
  31. Ukkola O, Garenc C, Pérusse L, et al. Genetic variation at the lipoprotein lipase locus and plasma lipoprotein and insulin levels in the Quebec Family Study. Atherosclerosis 2001; 158: 199–206. [Google Scholar]
  32. Oppert JM, Tourville J, Chagnon M, et al. DNA polymorphisms in α2- and β2-adrenoceptor genes and regional fat distribution in humans: association and linkage studies. Obes Res 1995; 3: 249–55. [Google Scholar]
  33. Weisnagel SJ, Rankinen T, Nadeau A, et al. Decreased fasting and oral glucose stimulated C-peptide in nondiabetic subjects with sequence variants in the sulfonylurea receptor 1 gene. Diabetes 2001; 50: 697–702. [Google Scholar]
  34. Lanouette CM, Giacobino JP, Perusse L, et al. Association between uncoupling protein 3 gene and obesity-related phenotypes in the Quebec Family Study. Mol Med 2001; 7: 433–41. [Google Scholar]
  35. Chagnon YC, Chen WJ, Pérusse L, et al. Linkage and association studies between the melanocortin receptors 4 and 5 genes and obesity-related phenotypes in the Québec Family Study. Mol Med 1997; 3: 663–73. [Google Scholar]
  36. Boucher N, Lanouette CM, Larose M, Pérusse L, Bouchard C, Chagnon YC. A +2138InsCAGACC polymorphism of the melanocortin receptor 3 gene is associated in human with fat level and partitioning in interaction with body corpulence. Mol Med 2002; 8: 158–65. [Google Scholar]

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