The effect of GWAS identified BMI loci on changes in body weight among middle-aged danes during a five-year period

Obesity

Volumn 22, Issue 3, 2014, Pages 901-908

  Sandholt, C H ^a   Allin, K H ^a   Toft, U ^b   Borglykke, A ^b   Ribel Madsen, R ^a   Sparso, T ^a   Justesen, J M ^a   Harder, M N ^a   Jorgensen T ^a,b,c   Hansen, T ^a,d   Pedersen, O ^a,e  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b GLOSTRUP UNIVERSITY HOSPITAL   (Denmark)

^c AALBORG UNIVERSITY   (Denmark)

^d UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

^e AARHUS UNIVERSITY   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ALLELE; ARTICLE; BODY MASS; DENMARK; DIET; FEMALE; FOLLOW UP; GENETIC ASSOCIATION; GENETIC RISK; GENETIC RISK SCORE; GENETIC VARIABILITY; GENOME ANALYSIS; HUMAN; INTERVENTION STUDY; LIFESTYLE MODIFICATION; MALE; MIDDLE AGED; PHYSICAL ACTIVITY; SCORING SYSTEM; SINGLE NUCLEOTIDE POLYMORPHISM; SMOKING HABIT; WEIGHT CHANGE;

ADULT; ALLELES; BODY MASS INDEX; BODY WEIGHT; CROSS-SECTIONAL STUDIES; DENMARK; DIET; EUROPEAN CONTINENTAL ANCESTRY GROUP; FOLLOW-UP STUDIES; GENETIC LOCI; GENETIC PREDISPOSITION TO DISEASE; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; HUMANS; INTERVENTION STUDIES; LIFE STYLE; LINEAR MODELS; MIDDLE AGED; MOTOR ACTIVITY; OBESITY; POLYMORPHISM, SINGLE NUCLEOTIDE; RISK FACTORS; SELECTION, GENETIC;

EID: 84895834592     PISSN: 19307381     EISSN: 1930739X     Source Type: Journal    
DOI: 10.1002/oby.20540     Document Type: Article

References (26)

1. World Health Organization: Obesity and overweight, Fact sheet #311, May 2012.
2. Kelly T, Yang W, Chen CS, Reynolds K, He J,. Global burden of obesity in 2005 and projections to 2030. Int J Obes (Lond) 2008; 32: 1431-1437.
3. Elks CE, den Hoed M, Zhao JH, et al. Variability in the heritability of body mass index: a systematic review and meta-regression. Front Endocrinol (Lausanne) 2012; 3: 29.
4. Frayling TM, Timpson NJ, Weedon MN, et al. A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science 2007; 316: 889-894.
5. 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: 768-775.
6. Thorleifsson G, Walters GB, Gudbjartsson DF, et al. Genome-wide association yields new sequence variants at seven loci that associate with measures of obesity. Nat Genet 2009; 41: 18-24.
7. Willer CJ, Speliotes EK, Loos RJ, et al. Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 2009; 41: 25-34.
8. Speliotes EK, Willer CJ, Berndt SI, et al. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 2010; 42: 937-948.
9. Jorgensen T, Borch-Johnsen K, Thomsen TF, Ibsen H, Glumer C, Pisinger C,. A randomized non-pharmacological intervention study for prevention of ischaemic heart disease: Baseline results Inter99. Eur J Cardiovasc Prev Rehabil 2003; 10: 377-386.
10. Glumer C, Jorgensen T, Borch-Johnsen K,. Prevalences of diabetes and impaired glucose regulation in a Danish population: the Inter99 study. Diabetes Care 2003; 26: 2335-2340.
11. Thomsen TF, Davidsen M, Ibsen H, Jorgensen T, Jensen G, Borch-Johnsen K,. A new method for CHD prediction and prevention based on regional risk scores and randomized clinical trials; PRECARD and the Copenhagen Risk Score. J Cardiovasc Risk 2001; 8: 291-297.
12. Lau C, Vistisen D, Toft U, et al. The effects of adding group-based lifestyle counselling to individual counselling on changes in plasma glucose levels in a randomized controlled trial: the Inter99 study. Diabetes Metabol 2011; 37: 546-552.
13. Toft U, Kristoffersen LH, Lau C, Borch-Johnsen K, Jorgensen T,. The Dietary Quality Score: validation and association with cardiovascular risk factors: the Inter99 study. Eur J Clin Nutr 2007; 61: 270-278.
14. Toft U, Kristoffersen L, Ladelund S, et al. Relative validity of a food frequency questionnaire used in the Inter99 study. Eur J Clin Nutr 2008; 62: 1038-1046.
15. von Huth Smith L, Borch-Johnsen K, Jorgensen T,. Commuting physical activity is favourably associated with biological risk factors for cardiovascular disease. Eur J Epidemiol 2007; 22: 771-779.
16. Pisinger C, Glumer C, Toft U, et al. High risk strategy in smoking cessation is feasible on a population-based level. The Inter99 study. Prev Med 2008; 46: 579-584.
17. Voight BF, Kang HM, Ding J, et al. The metabochip, a custom genotyping array for genetic studies of metabolic, cardiovascular, and anthropometric traits. PLoS Genet 2012; 8: e1002793.
18. Zobel DP, Andreasen CH, Grarup N, et al. Variants near MC4R are associated with obesity and influence obesity-related quantitative traits in a population of middle-aged people: studies of 14,940 Danes. Diabetes 2009; 58: 757-764.
19. Sandholt CH, Vestmar MA, Bille DS, et al. Studies of metabolic phenotypic correlates of 15 obesity associated gene variants. PLoS One 2011; 6: e23531.
20. Burgdorf KS, Gjesing AP, Grarup N, et al. Association studies of novel obesity-related gene variants with quantitative metabolic phenotypes in a population-based sample of 6,039 Danish individuals. Diabetologia 2012; 55: 105-113.
21. Bille DS, Banasik K, Justesen JM, et al. Implications of central obesity-related variants in LYPLAL1, NRXN3, MSRA, and TFAP2B on quantitative metabolic traits in adult Danes. PLoS One 2011; 6: e20640.
22. Andreasen CH, Stender-Petersen KL, Mogensen MS, et al. Low physical activity accentuates the effect of the FTO rs9939609 polymorphism on body fat accumulation. Diabetes 2008; 57: 95-101.
23. Mozaffarian D, Hao T, Rimm EB, Willett WC, Hu FB,. Changes in diet and lifestyle and long-term weight gain in women and men. N Engl J Med 2011; 364: 2392-2404.
24. Elks CE, Loos RJ, Hardy R, et al. Adult obesity susceptibility variants are associated with greater childhood weight gain and a faster tempo of growth: the 1946 British Birth Cohort Study. Am J Clin Nutr 2012; 95: 1150-1156.
25. Li S, Zhao JH, Luan J, et al. Physical activity attenuates the genetic predisposition to obesity in 20,000 men and women from EPIC-Norfolk prospective population study. PLoS Med 2010; 7 (8):e1000332.
26. Qi Q, Chu AY, Kang JH, et al. Sugar-sweetened beverages and genetic risk of obesity. N Engl J Med 2012; 367: 1387-1396.