Association between BBS6/MKKS gene polymorphisms, obesity and metabolic syndrome in the Greek population

International Journal of Obesity

Volumn 32, Issue 11, 2008, Pages 1618-1625

  Rouskas, K ^a   Paletas, K ^b   Kalogeridis, A ^a   Sarigianni, M ^b   Ioannidou Papagiannaki, E ^b   Tsapas, A ^b   Kouvatsi, A ^a  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^b ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

BBS6 MKKS gene; Greeks; Metabolic syndrome; Polymorphisms

Indexed keywords

ADULT; ARTICLE; BBS6 GENE; BODY MASS; CONTROLLED STUDY; FEMALE; GENE; GENE FREQUENCY; GENETIC ASSOCIATION; GENETIC POLYMORPHISM; GENETIC RISK; GENETIC VARIABILITY; GENOTYPE; GREECE; HAPLOTYPE; HUMAN; HYPERTENSION; MAJOR CLINICAL STUDY; MALE; METABOLIC SYNDROME X; MKKS GENE; NUCLEIC ACID BASE SUBSTITUTION; OBESITY; PREVALENCE; PRIORITY JOURNAL; SINGLE NUCLEOTIDE POLYMORPHISM;

ANALYSIS OF VARIANCE; ANTHROPOMETRY; BODY MASS INDEX; FEMALE; GENETIC VARIATION; GREECE; HAPLOTYPES; HUMANS; MALE; METABOLIC SYNDROME X; MIDDLE AGED; MOLECULAR CHAPERONES; OBESITY; POLYMORPHISM, GENETIC;

EID: 56549117592     PISSN: 03070565     EISSN: 14765497     Source Type: Journal    
DOI: 10.1038/ijo.2008.167     Document Type: Article

References (34)

1. Perusse L, Bouchard C. Genotype-environment interaction in human obesity. Nutr Rev 1999; 57: S31-S37; discussion S37-S38.
2. Rankinen T, Zuberi A, Chagnon YC, Weisnagel SJ, Argyropoulos G, Walts B et al. The human obesity gene map: the 2005 update. Obesity (Silver Spring) 2006; 14: 529-644.
3. Blacque OE, Leroux MR. Bardet-Biedl syndrome: an emerging pathomechanism of intracellular transport. Cell Mol Life Sci 2006; 63: 2145-2161.
4. Beales PL. Lifting the lid on Pandora's box: the Bardet-Biedl syndrome. Curr Opin Genet Dev 2005; 15: 315-323.
5. Forti E, Aksanov O, Birk RZ. Temporal expression pattern of Bardet-Biedl syndrome genes in adipogenesis. Int J Biochem Cell Biol 2007; 39: 1055-1062.
6. Croft JB, Morrell D, Chase CL, Swift M. Obesity in heterozygous carriers of the gene for the Bardet-Biedl syndrome. Am J Med Genet 1995; 55: 12-15.
7. Stone DL, Agarwala R, Schaffer AA, Weber JL, Vaske D, Oda T et al. Genetic and physical mapping of the McKusick-Kaufman syndrome. Hum Mol Genet 1998; 7: 475-481.
8. Slavotinek AM, Stone EM, Mykytyn K, Heckenlively JR, Green JS, Heon E et al. Mutations in MKKS cause Bardet-Biedl syndrome. Nat Genet 2000; 26: 15-16.
9. Katsanis N, Beales PL, Woods MO, Lewis RA, Green JS, Parfrey PS et al. Mutations in MKKS cause obesity, retinal dystrophy and renal malformations associated with Bardet-Biedl syndrome. Nat Genet 2000; 26: 67-70.
10. Fath MA, Mullins RF, Searby C, Nishimura DY, Wei J, Rahmouni K et al. Mkks-null mice have a phenotype resembling Bardet-Biedl syndrome. Hum Mol Genet 2005; 14: 1109-1118.
11. Andersen KL, Echwald SM, Larsen LH, Hamid YH, Glumer C, Jorgensen T et al. Variation of the McKusick-Kaufman gene and studies of relationships with common forms of obesity. J Clin Endocrinol Metab 2005; 90: 225-230.
12. Benzinou M, Walley A, Lobbens S, Charles MA, Jouret B, Fumeron F et al. Bardet-Biedl syndrome gene variants are associated with both childhood and adult common obesity in French Caucasians. Diabetes 2006; 55: 2876-2882.
13. Iannello S, Bosco P, Cavaleri A, Camuto M, Milazzo P, Belfiore F. A review of the literature of Bardet-Biedl disease and report of three cases associated with metabolic syndrome and diagnosed after the age of fifty. Obes Rev 2002; 3: 123-135.
14. Scott EM, Carter AM, Grant PJ. Association between polymorphisms in the Clock gene, obesity and the metabolic syndrome in man. Int J Obes (Lond) 2008; 32: 658-662.
15. Wiedmann S, Fischer M, Koehler M, Neureuther K, Riegger G, Doering A et al. Genetic variants within the LPIN1 gene, encoding lipin, are influencing phenotypes of the metabolic syndrome in humans. Diabetes 2008; 57: 209-217.
16. Sanchez-Corona J, Flores-Martinez SE, Machorro-Lazo MV, Galaviz-Hernandez C, Moran-Moguel MC, Perea FJ et al. Polymorphisms in candidate genes for type 2 diabetes mellitus in a Mexican population with metabolic syndrome findings. Diabetes Res Clin Pract 2004; 63: 47-55.
17. Yu K, Wang Z, Li Q, Wacholder S, Hunter DJ, Hoover RN et al. Population substructure and control selection in genome-wide association studies. PLoS ONE 2008; 3: e2551.
18. Kondopoulou H, Loftus R, Kouvatsi A, Triantaphyllidis C. Genetic studies in 5 Greek population samples using 12 highly polymorphic DNA loci. Hum Biol 1999; 71: 27-42.
19. Kouvatsi A, Karaiskou N, Apostolidis A, Kirmizidis G. Mitochondrial DNA sequence variation in Greeks. Hum Biol 2001; 73: 855-869.
20. World Health Organization. Obesity: preventing and managing the global epidemic. Report of a WHO consultation on obesity, Geneva, 3-5 June 1997. World Health Organization: Geneva, 1998.
21. Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA et al. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation 2005; 112: 2735-2752.
22. International Diabetes Federation (IDF). The IDF consensus worldwide definition of the metabolic syndrome. Part 1. Worldwide definition for use in clinical practice, 2006.
23. Sambrook J, Russell DW. Molecular cloning: a laboratory manual, 3rd edn, Cold Spring Harbor Laboratory Press: Cold Spring Harbor, New York, 2001.
24. Untergasser A, Nijveen JI, Rao X, Bisseling T, Geurts R, Leunissen JA. Primer3Plus, an enhanced web interface to Primer3. Nucleic Acids Res 2007; 35: W71-W74.
25. Rust S, Funke H, Assmann G. Mutagenically separated PCR (MS-PCR): a highly specific one step procedure for easy mutation detection. Nucleic Acids Res 1993; 21: 3623-3629.
26. Raymond M, Rousset F. GENEPOP (v3.1): population genetics software for exact tests and ecumenicism. J Hered 1995; 86: 248-249.
27. Tregouet DA, Garelle V. A new JAVA interface implementation of THESIAS: testing haplotype effects in association studies. Bioinformatics 2007; 23: 1038-1039.
28. Hall TA. BIOEDIT: a user-friendly biological sequence alignment editor and analysis program for windows 95/98/NT. Nucleic Acids Symp Ser 1999; 41: 95-98.
29. Yuan HY, Chiou JJ, Tseng WH, Liu CH, Liu CK, Lin YJ et al. FASTSNP: an always up-to-date and extendable service for SNP function analysis and prioritization. Nucleic Acids Res 2006; 34: W635-W641.
30. Rice WR. Analyzing tables of statistical tests. Evolution 1989; 43: 223-225.
31. Lavebratt C, Alpman A, Persson B, Arner P, Hoffstedt J. Common neuropeptide Y2 receptor gene variant is protective against obesity among Swedish men. Int J Obes (Lond) 2006; 30: 453-459.
32. Geller F, Reichwald K, Dempfle A, Illig T, Vollmert C, Herpertz S et al. Melanocortin-4 receptor gene variant I103 is negatively associated with obesity. Am J Hum Genet 2004; 74: 572-581.
33. Athyros VG, Bouloukos VI, Pehlivanidis AN, Papageorgiou AA, Dionysopoulou SG, Symeonidis AN et al. The prevalence of the metabolic syndrome in Greece: the MetS-Greece Multicentre Study. Diabetes Obes Metab 2005; 7: 397-405.
34. Psaltopoulou T, Orfanos P, Naska A, Lenas D, Trichopoulos D, Trichopoulou A. Prevalence, awareness, treatment and control of hypertension in a general population sample of 26,913 adults in the Greek EPIC study. Int J Epidemiol 2004; 33: 1345-1352.