Literature DB >> 23535969

Chromosome 9p21 rs10757278 polymorphism is associated with the risk of metabolic syndrome.

Burcu Bayoglu1, Huseyin Altug Cakmak, Husniye Yuksel, Gunay Can, Bilgehan Karadag, Turgut Ulutin, Vural Ali Vural, Mujgan Cengiz.   

Abstract

Metabolic syndrome (MetS) is a common multifactorial disorder that involves abdominal obesity, dyslipidemia, hypertension, and hyperglycemia. Genome-wide association studies have identified a major risk locus for coronary artery disease and myocardial infarction on chromosome 9p21. Here, we examined the frequency of single nucleotide polymorphisms (SNPs) on chromosome 9p21 in a sample of Turkish patients with MetS and further investigated the correlation between regional SNPs, haplotypes, and MetS. The real-time polymerase chain reaction (RT-PCR) was used to analyze 4 SNPs (rs10757274 A/G, rs2383207 A/G, rs10757278 A/G, rs1333049 C/G) in 291 MetS patients and 247 controls. Analysis of 4 SNPs revealed a significant difference in the genotype distribution for rs2383207, rs10757278, and rs1333049 between MetS patients and controls (p = 0.041, p = 0.005, p = 0.023, respectively) but not for rs10757274 (p = 0.211). MetS and control allelic frequencies for rs2383207, rs10757278, and rs1333049 were statistically different (p < 0.05). The rs2383207 AG variant, was identified as a MetS risk factor (p = 0.012, OR = 33.271; 95 % CI: 2.193-504.805) and the AA haplotype in block 1 and the GC, AG haplotypes in block 2 were associated with MetS (χ(2) = 3.875, p = 0.049; χ(2) = 9.334, p = 0.0022; χ (2) = 9.134, p = 0.0025, respectively). In this study, we found that chromosome 9p21 SNP rs10757278 and related haplotypes correlate with MetS risk. This is the first report showing an association between a 9p21 variant and MetS and suggests that rs10757278 polymorphism may confer increased risk for disease.

Entities:  

Mesh:

Year:  2013        PMID: 23535969     DOI: 10.1007/s11010-013-1629-3

Source DB:  PubMed          Journal:  Mol Cell Biochem        ISSN: 0300-8177            Impact factor:   3.396


  36 in total

1.  CVD-associated non-coding RNA, ANRIL, modulates expression of atherogenic pathways in VSMC.

Authors:  Ada Congrains; Kei Kamide; Tomohiro Katsuya; Osamu Yasuda; Ryousuke Oguro; Koichi Yamamoto; Mitsuru Ohishi; Hiromi Rakugi
Journal:  Biochem Biophys Res Commun       Date:  2012-02-20       Impact factor: 3.575

2.  Chromosome 9p21 SNPs Associated with Multiple Disease Phenotypes Correlate with ANRIL Expression.

Authors:  Michael S Cunnington; Mauro Santibanez Koref; Bongani M Mayosi; John Burn; Bernard Keavney
Journal:  PLoS Genet       Date:  2010-04-08       Impact factor: 5.917

3.  Susceptibility locus for clinical and subclinical coronary artery disease at chromosome 9p21 in the multi-ethnic ADVANCE study.

Authors:  Themistocles L Assimes; Joshua W Knowles; Analabha Basu; Carlos Iribarren; Audrey Southwick; Hua Tang; Devin Absher; Jun Li; Joan M Fair; Geoffrey D Rubin; Stephen Sidney; Stephen P Fortmann; Alan S Go; Mark A Hlatky; Richard M Myers; Neil Risch; Thomas Quertermous
Journal:  Hum Mol Genet       Date:  2008-04-28       Impact factor: 6.150

4.  Evaluation of the association of genetic variants on the chromosomal loci 9p21.3, 6q25.1, and 2q36.3 with angiographically characterized coronary artery disease.

Authors:  Axel Muendlein; Christoph H Saely; Simone Rhomberg; Gudrun Sonderegger; Stephan Loacker; Philipp Rein; Stefan Beer; Alexander Vonbank; Thomas Winder; Heinz Drexel
Journal:  Atherosclerosis       Date:  2008-11-11       Impact factor: 5.162

5.  Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels.

Authors:  Richa Saxena; Benjamin F Voight; Valeriya Lyssenko; Noël P Burtt; Paul I W de Bakker; Hong Chen; Jeffrey J Roix; Sekar Kathiresan; Joel N Hirschhorn; Mark J Daly; Thomas E Hughes; Leif Groop; David Altshuler; Peter Almgren; Jose C Florez; Joanne Meyer; Kristin Ardlie; Kristina Bengtsson Boström; Bo Isomaa; Guillaume Lettre; Ulf Lindblad; Helen N Lyon; Olle Melander; Christopher Newton-Cheh; Peter Nilsson; Marju Orho-Melander; Lennart Råstam; Elizabeth K Speliotes; Marja-Riitta Taskinen; Tiinamaija Tuomi; Candace Guiducci; Anna Berglund; Joyce Carlson; Lauren Gianniny; Rachel Hackett; Liselotte Hall; Johan Holmkvist; Esa Laurila; Marketa Sjögren; Maria Sterner; Aarti Surti; Margareta Svensson; Malin Svensson; Ryan Tewhey; Brendan Blumenstiel; Melissa Parkin; Matthew Defelice; Rachel Barry; Wendy Brodeur; Jody Camarata; Nancy Chia; Mary Fava; John Gibbons; Bob Handsaker; Claire Healy; Kieu Nguyen; Casey Gates; Carrie Sougnez; Diane Gage; Marcia Nizzari; Stacey B Gabriel; Gung-Wei Chirn; Qicheng Ma; Hemang Parikh; Delwood Richardson; Darrell Ricke; Shaun Purcell
Journal:  Science       Date:  2007-04-26       Impact factor: 47.728

6.  Genetic variation at the 9p21 locus predicts angiographic coronary artery disease prevalence but not extent and has clinical utility.

Authors:  Jeffrey L Anderson; Benjamin D Horne; Matthew J Kolek; Joseph B Muhlestein; Chrissa P Mower; James J Park; Heidi T May; Nicola J Camp; John F Carlquist
Journal:  Am Heart J       Date:  2008-10-11       Impact factor: 4.749

7.  Impact of metabolic syndrome on the development of cardiovascular disease in a general Japanese population: the Hisayama study.

Authors:  Toshiharu Ninomiya; Michiaki Kubo; Yasufumi Doi; Koji Yonemoto; Yumihiro Tanizaki; Mahbubur Rahman; Hisatomi Arima; Kazuhiko Tsuryuya; Mitsuo Iida; Yutaka Kiyohara
Journal:  Stroke       Date:  2007-05-24       Impact factor: 7.914

8.  Prevalence and heritability of the metabolic syndrome and its individual components in a Dutch isolate: the Erasmus Rucphen Family study.

Authors:  P Henneman; Y S Aulchenko; R R Frants; K W van Dijk; B A Oostra; C M van Duijn
Journal:  J Med Genet       Date:  2008-06-11       Impact factor: 6.318

9.  AKT1 polymorphisms are associated with risk for metabolic syndrome.

Authors:  Joseph M Devaney; Heather Gordish-Dressman; Brennan T Harmon; Margaret K Bradbury; Stephanie A Devaney; Tamara B Harris; Paul D Thompson; Priscilla M Clarkson; Thomas B Price; Theodore J Angelopoulos; Paul M Gordon; Niall M Moyna; Linda S Pesca; Paul S VIsich; Robert F Zoeller; Richard L Seip; Jinwook Seo; Bo Hyoung Kim; Laura L Tosi; Melissa Garcia; Rongling Li; Joseph M Zmuda; Matthew J Delmonico; Robert S Lindsay; Barbara V Howard; William E Kraus; Eric P Hoffman
Journal:  Hum Genet       Date:  2011-02       Impact factor: 4.132

10.  Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes.

Authors:  Eleftheria Zeggini; Michael N Weedon; Cecilia M Lindgren; Timothy M Frayling; Katherine S Elliott; Hana Lango; Nicholas J Timpson; John R B Perry; Nigel W Rayner; Rachel M Freathy; Jeffrey C Barrett; Beverley Shields; Andrew P Morris; Sian Ellard; Christopher J Groves; Lorna W Harries; Jonathan L Marchini; Katharine R Owen; Beatrice Knight; Lon R Cardon; Mark Walker; Graham A Hitman; Andrew D Morris; Alex S F Doney; Mark I McCarthy; Andrew T Hattersley
Journal:  Science       Date:  2007-04-26       Impact factor: 47.728

View more
  3 in total

1.  Dietary patterns interact with chromosome 9p21 rs1333048 polymorphism on the risk of obesity and cardiovascular risk factors in apparently healthy Tehrani adults.

Authors:  Mehdi Mollahosseini; Mohammad Hossein Rahimi; Mir Saeed Yekaninejad; Zhila Maghbooli; Khadijeh Mirzaei
Journal:  Eur J Nutr       Date:  2019-01-02       Impact factor: 5.614

2.  Evaluation of association between common genetic variants on chromosome 9p21 and coronary artery disease in Turkish population.

Authors:  Hüseyin Altuğ Çakmak; Burcu Bayoğlu; Eser Durmaz; Günay Can; Bilgehan Karadağ; Müjgan Cengiz; Vural Ali Vural; Hüsniye Yüksel
Journal:  Anatol J Cardiol       Date:  2014-04-08       Impact factor: 1.596

3.  Endothelin Type A Receptor Genotype is a Determinant of Quantitative Traits of Metabolic Syndrome in Asian Hypertensive Families: A SAPPHIRe Study.

Authors:  Low-Tone Ho; Yung-Pei Hsu; Chin-Fu Hsiao; Chih-Tai Ting; Kuang-Chung Shih; Lee-Ming Chuang; Kamal Masaki; John Grove; Thomas Quertermous; Chi-Chung Juan; Ming-Wei Lin; Shu-Chiung Chiang; Yii-Der I Chen
Journal:  Front Endocrinol (Lausanne)       Date:  2013-11-28       Impact factor: 5.555

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.