A new look at the genetic and environmental coherence of metabolic syndrome components

Obesity

Volumn 23, Issue 12, 2015, Pages 2499-2507

  Panizzon, Matthew S ^a,b   Hauger, Richard L ^a   Sailors, Megan ^a   Lyons, Michael J ^c   Jacobson, Kristen C ^d   Murray McKenzie, Ruth ^c   Rana, Brinda ^a   Vasilopoulos, Terrie ^e   Vuoksimaa, Eero ^a,f   Xian, Hong ^g   Kremen, William S ^a   Franz, Carol E ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b VA SAN DIEGO HEALTHCARE SYSTEM   (United States)

^c BOSTON UNIVERSITY   (United States)

^d UNIVERSITY OF CHICAGO   (United States)

^e UNIVERSITY OF FLORIDA   (United States)

^f UNIVERSITY OF HELSINKI   (Finland)

^g SAINT LOUIS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIDIABETIC AGENT; ANTIHYPERTENSIVE AGENT; FIBRIC ACID DERIVATIVE; GLUCOSE; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; HYDROXYMETHYLGLUTARYL COENZYME A REDUCTASE INHIBITOR; INSULIN; TRIACYLGLYCEROL; GLUCOSE BLOOD LEVEL; LIPID;

ADULT; AGED; ARTICLE; BODY MASS; COMORBIDITY; CONTROLLED STUDY; DIABETES MELLITUS; DIASTOLIC BLOOD PRESSURE; DIET RESTRICTION; DYSLIPIDEMIA; ENVIRONMENTAL FACTOR; HEREDITY; HERITABILITY; HUMAN; HYPERTENSION; INSULIN RESISTANCE; MAJOR CLINICAL STUDY; MALE; METABOLIC SYNDROME X; MIDDLE AGED; OBESITY; SYSTOLIC BLOOD PRESSURE; VIET NAM; WAIST CIRCUMFERENCE; BIOMETRY; BLOOD; BLOOD PRESSURE; CARDIOVASCULAR DISEASES; COMPLICATION; ENVIRONMENT; GENETICS; GLUCOSE BLOOD LEVEL; METABOLISM; RISK FACTOR; TWINS;

ADIPOSITY; AGED; BIOMETRY; BLOOD GLUCOSE; BLOOD PRESSURE; BODY MASS INDEX; CARDIOVASCULAR DISEASES; CHOLESTEROL, HDL; ENVIRONMENT; FASTING; HUMANS; INSULIN; INSULIN RESISTANCE; LIPIDS; MALE; METABOLIC SYNDROME X; MIDDLE AGED; RISK FACTORS; TRIGLYCERIDES; WAIST CIRCUMFERENCE;

EID: 84955202514     PISSN: 19307381     EISSN: 1930739X     Source Type: Journal    
DOI: 10.1002/oby.21257     Document Type: Article

References (40)

1. Alberti KG, Eckel RH, Grundy SM, et al., Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 2009; 120: 1640-1645.
2. Akbaraly TN, Kivimaki M, Shipley MJ, et al., Metabolic syndrome over 10 years and cognitive functioning in late midlife: the Whitehall II study. Diabetes Care 2011; 33: 84-89.
3. Yaffe K., Metabolic syndrome and cognitive disorders: is the sum greater than its parts? Alzheimer's Dis Assoc Disord 2007; 21: 167-171.
4. Yates KF, Sweat V, Yau PL, Turchiano MM, Convit A., Impact of metabolic syndrome on cognition and brain: a selected review of the literature. Arterioscler Thromb Vasc Biol 2012; 32: 2060-2067.
5. Simmons RK, Alberti KG, Gale EA, et al., The metabolic syndrome: useful concept or clinical tool? Report of a WHO expert consultation. Diabetologia 2010; 53: 600-605.
6. Cameron A., The metabolic syndrome: validity and utility of clinical definitions for cardiovascular disease and diabetes risk prediction. Maturitas 2010; 65: 117-121.
7. Burt SA., Twin and family studies are actually more important than ever. Behav Brain Sci 2012; 35: 361.
8. Povel CM, Boer JM, Feskens EJ., Shared genetic variance between the features of the metabolic syndrome: heritability studies. Mol Genet Metab 2011; 104: 666-669.
9. Hong Y, Pedersen NL, Brismar K, de Faire U., Genetic and environmental architecture of the features of the insulin-resistance syndrome. Am J Hum Genet 1997; 60: 143-152.
10. Elder SJ, Lichtenstein AH, Pittas AG, et al., Genetic and environmental influences on factors associated with cardiovascular disease and the metabolic syndrome. J Lipid Res 2009; 50: 1917-1926.
11. Benyamin B, Sorensen TI, Schousboe K, Fenger M, Visscher PM, Kyvik KO., Are there common genetic and environmental factors behind the endophenotypes associated with the metabolic syndrome? Diabetologia 2007; 50: 1880-1888.
12. Peeters MW, Thomis MA, Loos RJ, et al., Clustering of metabolic risk factors in young adults: genes and environment. Atherosclerosis 2008; 200: 168-176.
13. Shen BJ, Todaro JF, Niaura R, et al., Are metabolic risk factors one unified syndrome? Modeling the structure of the metabolic syndrome X. Am J Epidemiol 2003; 157: 701-711.
14. Tenenbaum A, Fisman EZ., "The metabolic syndrome... is dead": these reports are an exaggeration. Cardiovasc Diabetol. 2011; 10: 11.
15. Kremen WS, Franz CE, Lyons MJ., VETSA: the Vietnam era twin study of aging. Twin Res Hum Genet 2013; 16: 399-402.
16. Kremen WS, Jak AJ, Panizzon MS, et al., Early identification and heritability of mild cognitive impairment. Int J Epidemiol 2014; 43: 600-610.
17. Eisen SA, True WR, Goldberg J, Henderson W, Robinette CD., The Vietnam era twin (VET) registry: method of construction. Acta Genet Med Gemellol 1987; 36: 61-66.
18. Vital Statistics of the United States. Centers for Disease Control and Prevention; 2010. Avail;able at: http://www.cdc.gov/nchs/nvss/mortality-tables.htm
19. Rana BK, Dhamija, A, Panizzon MS, et al., Imputing observed blood pressure for antihypertensive treatment: impact on population and genetic analyses. Am J Hypertens 2014; 27: 828-837.
20. Wu J, Province MA, Coon H, et al., An investigation of the effects of lipid-lowering medications: genome-wide linkage analysis of lipids in the HyperGEN study. BMC Genet 2007; 8: 60.
21. Neale MC, Cardon LR., Methodology for Genetic Studies of Twins and Families. Dordrecht, The Netherlands: Kluwer Academic Publishers; 1992.
22. McArdle JJ, Goldsmith HH., Alternative common factor models for multivariate biometric analyses. Behav Genet 1990; 20: 569-608.
23. Boker S, Neale M, Maes H, et al., OpenMx: an open source extended structural equation modeling framework. Psychometrika 2011; 76: 306-317.
24. Akaike H., Factor analysis and AIC. Psychometrika 1987; 52: 317-332.
25. Williams LJ, Holahan PJ., Parsimony-based fit indices for multiple-indicator models: do they work? Struct Eq Model 1994; 1: 161-189.
26. Locke AE, Kahali B, Berndt SI, et al., Genetic studies of body mass index yield new insights for obesity biology. Nature 2015; 518: 197-206.
27. Franz CE, Grant MD, Jacobson KC, et al., Genetics of body mass stability and risk for chronic disease: a 28-year longitudinal study. Twin Res Hum Genet 2007; 10: 537-545.
28. Fall T, Hagg S, Magi R, et al., The role of adiposity in cardiometabolic traits: a Mendelian randomization analysis. PLoS Med 2013; 10: e1001474.
29. Povel CM, Boer JM, Imholz S, Dolle ME, Feskens EJ., Genetic variants in lipid metabolism are independently associated with multiple features of the metabolic syndrome. Lipids Health Dis 2011; 10: 118.
30. Povel CM, Boer JM, Reiling E, Feskens EJ., Genetic variants and the metabolic syndrome: a systematic review. Obes Rev 2011; 12: 952-967.
31. Andreassen OA, McEvoy LK, Thompson WK, et al., Identifying common genetic variants in blood pressure due to polygenic pleiotropy with associated phenotypes. Hypertension 2014; 63: 819-826.
32. Avery CL, He Q, North KE, et al., A phenomics-based strategy identifies loci on APOC1, BRAP, and PLCG1 associated with metabolic syndrome phenotype domains. PLoS Genet 2011; 7: e1002322.
33. Ehret GB, Munroe PB, Rice KM, et al., Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk. Nature 2011; 478: 103-109.
34. Kraja AT, Vaidya D, Pankow JS, et al., A bivariate genome-wide approach to metabolic syndrome: STAMPEED consortium. Diabetes 2011; 60: 1329-1339.
35. Rahmouni K., Obesity-associated hypertension: recent progress in deciphering the pathogenesis. Hypertension 2014.
36. Tarnoki AD, Tarnoki DL, Bogl LH, et al., Association of body mass index with arterial stiffness and blood pressure components: a twin study. Atherosclerosis 2013; 229: 388-395.
37. Chong AY, Lupsa BC, Cochran EK, Gorden P., Efficacy of leptin therapy in the different forms of human lipodystrophy. Diabetologia 2010; 53: 27-35.
38. Fall T, Ingelsson E., Genome-wide association studies of obesity and metabolic syndrome. Mol Cell Endocrinol 2014; 382: 740-757.
39. Murray CJ, Atkinson C, Bhalla K, et al., The state of US health, 1990-2010: burden of diseases, injuries, and risk factors. JAMA 2013; 310: 591-608.
40. Benjamin RM., The surgeon General's vision for a healthy and fit nation. Public Health Rep 2010; 125: 514-515.