Literature DB >> 17119879

A direct assessment of genetic contribution to the incidence of coronary infarct in the general population Greek EPIC cohort.

Nikos Yiannakouris1, Antonia Trichopoulou, Vassiliki Benetou, Theodora Psaltopoulou, Jose M Ordovas, Dimitrios Trichopoulos.   

Abstract

To estimate the fraction of the incidence of coronary infarct attributable to the combined action of common genetic polymorphisms likely to be related to this condition, we conducted a case-control study nested within the Greek component of the European Prospective Investigation into Cancer and Nutrition. A total of 202 cases with a new, medically confirmed coronary infarct and 197 controls who had not developed an infarct by the time the corresponding case was diagnosed, were identified. A simple a priori score, relying on a total of 11 genetic polymorphisms was developed. Each polymorphism contributed 1 unit if the subject was homozygous for the high-risk allele, 0.5 units if the subject was heterozygous and 0 units if the subject was homozygous for the low-risk allele. Cases were over-represented in the presumed high genetic risk score values (chi square for trend = 10.18; p = 0.0014). The odds ratio to develop coronary infarct was 1.55 (95% confidence interval: 1.02-2.37) for score > or = 3.0, and 2.02 (1.31-3.11) for score > or = 3.5. In both instances the population fraction of the disease attributable to genetic predisposition exceeded 22%. Assuming a prior probability of at least 0.10 for the score to be predictive of coronary infarct risk, our findings are more likely than not to be truly positive. Our results, based on a simple score integrating the additive impact of 11 genetic polymorphisms, indicate that genetic predisposition accounts for a considerable fraction of the incidence of coronary infarct in the community.

Entities:  

Mesh:

Year:  2006        PMID: 17119879     DOI: 10.1007/s10654-006-9070-5

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  33 in total

1.  MTHFR 677C-->T polymorphism and risk of coronary heart disease: a meta-analysis.

Authors:  Mariska Klerk; Petra Verhoef; Robert Clarke; Henk J Blom; Frans J Kok; Evert G Schouten
Journal:  JAMA       Date:  2002 Oct 23-30       Impact factor: 56.272

2.  Lipoprotein lipase mutations, plasma lipids and lipoproteins, and risk of ischemic heart disease. A meta-analysis.

Authors:  H H Wittrup; A Tybjaerg-Hansen; B G Nordestgaard
Journal:  Circulation       Date:  1999-06-08       Impact factor: 29.690

3.  The interleukin-6 -174 G/C promoter polymorphism is associated with risk of coronary heart disease and systolic blood pressure in healthy men.

Authors:  S E Humphries; L A Luong; M S Ogg; E Hawe; G J Miller
Journal:  Eur Heart J       Date:  2001-12       Impact factor: 29.983

4.  Attributable risk: advantages of a broad definition of exposure.

Authors:  S Wacholder; J Benichou; E F Heineman; P Hartge; R N Hoover
Journal:  Am J Epidemiol       Date:  1994-08-15       Impact factor: 4.897

Review 5.  The APOA1/C3/A4/A5 gene cluster, lipid metabolism and cardiovascular disease risk.

Authors:  Chao-Qiang Lai; Laurence D Parnell; Jose M Ordovas
Journal:  Curr Opin Lipidol       Date:  2005-04       Impact factor: 4.776

6.  Interleukin-6 gene polymorphisms and susceptibility to myocardial infarction: the ECTIM study. Etude Cas-Témoin de l'Infarctus du Myocarde.

Authors:  J L Georges; V Loukaci; O Poirier; A Evans; G Luc; D Arveiler; J B Ruidavets; F Cambien; L Tiret
Journal:  J Mol Med (Berl)       Date:  2001-06       Impact factor: 4.599

7.  Lipoprotein lipase D9N, N291S and S447X polymorphisms: their influence on premature coronary heart disease and plasma lipids.

Authors:  F M van Bockxmeer; Q Liu; C Mamotte; V Burke; R Taylor
Journal:  Atherosclerosis       Date:  2001-07       Impact factor: 5.162

8.  Polymorphism in the promoter region of the apolipoprotein A5 gene is associated with an increased susceptibility for coronary artery disease.

Authors:  Csaba Szalai; Márton Keszei; Jenõ Duba; Zoltán Prohászka; Gergely Tibor Kozma; Albert Császár; Sándor Balogh; Zsuzsa Almássy; George Fust; Antal Czinner
Journal:  Atherosclerosis       Date:  2004-03       Impact factor: 5.162

9.  Homocysteine and stroke: evidence on a causal link from mendelian randomisation.

Authors:  Juan P Casas; Leonelo E Bautista; Liam Smeeth; Pankaj Sharma; Aroon D Hingorani
Journal:  Lancet       Date:  2005 Jan 15-21       Impact factor: 79.321

10.  Polymorphisms of the interleukin-1beta gene affect the risk of myocardial infarction and ischemic stroke at young age and the response of mononuclear cells to stimulation in vitro.

Authors:  L Iacoviello; A Di Castelnuovo; M Gattone; A Pezzini; D Assanelli; R Lorenzet; E Del Zotto; M Colombo; E Napoleone; C Amore; A D'Orazio; A Padovani; G de Gaetano; P Giannuzzi; M B Donati
Journal:  Arterioscler Thromb Vasc Biol       Date:  2004-11-11       Impact factor: 8.311

View more
  11 in total

1.  Towards predictive genetic testing of complex diseases.

Authors:  A Cecile J W Janssens; Cornelia M van Duijn
Journal:  Eur J Epidemiol       Date:  2006-12-08       Impact factor: 8.082

2.  Using the optimal receiver operating characteristic curve to design a predictive genetic test, exemplified with type 2 diabetes.

Authors:  Qing Lu; Robert C Elston
Journal:  Am J Hum Genet       Date:  2008-03       Impact factor: 11.025

3.  Is the time right for translation research in genomics?

Authors:  A Cecile J W Janssens
Journal:  Eur J Epidemiol       Date:  2008       Impact factor: 8.082

4.  An anatomy of the way composite scores work.

Authors:  Christina Bamia; Dimitrios Trichopoulos
Journal:  Eur J Epidemiol       Date:  2015-03-19       Impact factor: 8.082

5.  Genetic predisposition to coronary heart disease and stroke using an additive genetic risk score: a population-based study in Greece.

Authors:  N Yiannakouris; M Katsoulis; V Dilis; L D Parnell; D Trichopoulos; J M Ordovas; A Trichopoulou
Journal:  Atherosclerosis       Date:  2012-02-28       Impact factor: 5.162

6.  Association between glucokinase regulatory protein (GCKR) and apolipoprotein A5 (APOA5) gene polymorphisms and triacylglycerol concentrations in fasting, postprandial, and fenofibrate-treated states.

Authors:  Pablo Perez-Martinez; Dolores Corella; Jian Shen; Donna K Arnett; Nikos Yiannakouris; E Syong Tai; Marju Orho-Melander; Katherine L Tucker; Michael Tsai; Robert J Straka; Michael Province; Chew Suok Kai; Francisco Perez-Jimenez; Chao-Qiang Lai; Jose Lopez-Miranda; Marisa Guillen; Laurence D Parnell; Ingrid Borecki; Sekar Kathiresan; Jose M Ordovas
Journal:  Am J Clin Nutr       Date:  2008-12-03       Impact factor: 7.045

7.  Genetic predisposition, nongenetic risk factors, and coronary infarct.

Authors:  Antonia Trichopoulou; Nikos Yiannakouris; Christina Bamia; Vassiliki Benetou; Dimitrios Trichopoulos; Jose M Ordovas
Journal:  Arch Intern Med       Date:  2008-04-28

8.  A composite scoring of genotypes discriminates coronary heart disease risk beyond conventional risk factors in the Boston Puerto Rican Health Study.

Authors:  M Junyent; K L Tucker; J Shen; Y-C Lee; C E Smith; J Mattei; C-Q Lai; L D Parnell; J M Ordovas
Journal:  Nutr Metab Cardiovasc Dis       Date:  2009-06-05       Impact factor: 4.222

9.  Development of a learning-oriented computer assisted instruction designed to improve skills in the clinical assessment of the nutritional status: a pilot evaluation.

Authors:  Laura García de Diego; Marta Cuervo; J Alfredo Martínez
Journal:  PLoS One       Date:  2015-05-15       Impact factor: 3.240

10.  Additive influence of genetic predisposition and conventional risk factors in the incidence of coronary heart disease: a population-based study in Greece.

Authors:  Nikos Yiannakouris; Michail Katsoulis; Antonia Trichopoulou; Jose M Ordovas; Dimitrios Trichopoulos
Journal:  BMJ Open       Date:  2014-02-05       Impact factor: 2.692

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.