Literature DB >> 14681304

Polymorphism in the P-selectin and interleukin-4 genes as determinants of stroke: a population-based, prospective genetic analysis.

Robert Y L Zee1, Nancy R Cook, Suzanne Cheng, Rebecca Reynolds, Henry A Erlich, Klaus Lindpaintner, Paul M Ridker.   

Abstract

Candidate gene polymorphisms related to inflammation, thrombosis and lipid metabolism have been implicated in the development of ischemic stroke. Using DNA samples collected at baseline in a prospective cohort of 14 916 initially healthy American men, we genotyped 92 polymorphisms from 56 candidate genes among 319 individuals who subsequently developed ischemic stroke and among 2092 individuals who remained free of reported cardiovascular disease over a mean follow-up period of 13.2 years to prospectively determine whether candidate gene polymorphisms contribute to stroke risk. After adjustment for multiple comparisons and age, smoking, body mass index, hypertension, hyperlipidemia and diabetes, two related to inflammation [a val640leu polymorphism in the P-selectin gene (OR=1.63, 95% CI 1.22-2.17, P=0.001) and a C582T polymorphism in the interleukin-4 gene (OR=1.40, 95% CI 1.13-1.73, P=0.003)] were found to be independent predictors of thrombo-embolic stroke. In bootstrap replications, the inclusion of genetic information from these two polymorphisms improved prediction models for stroke based upon traditional risk factors alone (ROC 0.67 versus 0.64). Two polymorphisms related to thrombosis (an arg353gln polymorphism in the factor VII gene and a T11053G polymorphism in the plasminogen activator inhibitor type-1 gene) and one related to lipid metabolism [a C(-482)T polymorphism in the apolipoprotein CIII gene] achieved nominal significance, but were not found to be independent predictors after multiple comparison adjustment. Two inflammatory candidate gene polymorphisms were identified which were independently associated with incident stroke. These population-based data demonstrate the ability of prospective, epidemiological studies to test candidate gene associations for athero-thrombotic disease.

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Year:  2003        PMID: 14681304     DOI: 10.1093/hmg/ddh039

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  36 in total

1.  An evolutionary history of the selectin gene cluster in humans.

Authors:  M Fumagalli; M Fracassetti; R Cagliani; D Forni; U Pozzoli; G P Comi; F Marini; N Bresolin; M Clerici; M Sironi
Journal:  Heredity (Edinb)       Date:  2012-05-02       Impact factor: 3.821

2.  TTC7B emerges as a novel risk factor for ischemic stroke through the convergence of several genome-wide approaches.

Authors:  Tiago Krug; João Paulo Gabriel; Ricardo Taipa; Benedita V Fonseca; Sophie Domingues-Montanari; Israel Fernandez-Cadenas; Helena Manso; Liliana O Gouveia; João Sobral; Isabel Albergaria; Gisela Gaspar; Jordi Jiménez-Conde; Raquel Rabionet; José M Ferro; Joan Montaner; Astrid M Vicente; Mário Rui Silva; Ilda Matos; Gabriela Lopes; Sofia A Oliveira
Journal:  J Cereb Blood Flow Metab       Date:  2012-03-28       Impact factor: 6.200

3.  Whole brain and regional hyperintense white matter volume and blood pressure: overlap of genetic loci produced by bivariate, whole-genome linkage analyses.

Authors:  Peter Kochunov; David Glahn; Jack Lancaster; Anderson Winkler; Jack W Kent; Rene L Olvera; Shelley A Cole; Thomas D Dyer; Laura Almasy; Ravi Duggirala; Peter T Fox; John Blangero
Journal:  Stroke       Date:  2010-08-19       Impact factor: 7.914

4.  Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia.

Authors:  Paola Sebastiani; Marco F Ramoni; Vikki Nolan; Clinton T Baldwin; Martin H Steinberg
Journal:  Nat Genet       Date:  2005-03-20       Impact factor: 38.330

5.  The glu298asp polymorphism in the nitric oxide synthase 3 gene is associated with the risk of ischemic stroke in two large independent case-control studies.

Authors:  Klaus Berger; Florian Stögbauer; Monika Stoll; Juergen Wellmann; Andreas Huge; Suzanne Cheng; Christof Kessler; Ulrich John; Gerd Assmann; E Bernd Ringelstein; Harald Funke
Journal:  Hum Genet       Date:  2006-12-13       Impact factor: 4.132

6.  Association of apolipoprotein M gene polymorphisms with ischemic stroke in a Han Chinese population.

Authors:  Dongxue Zhao; Zhiyi He; Xue Qin; Lei Li; Fang Liu; Shumin Deng
Journal:  J Mol Neurosci       Date:  2010-09-25       Impact factor: 3.444

7.  Interaction between inflammation-related gene polymorphisms and cigarette smoking on the risk of myocardial infarction in the Physician's Health Study.

Authors:  Sarah A Rosner; Paul M Ridker; Robert Y L Zee; Nancy R Cook
Journal:  Hum Genet       Date:  2005-11-15       Impact factor: 4.132

8.  A Statistical Approach for Testing Cross-Phenotype Effects of Rare Variants.

Authors:  K Alaine Broadaway; David J Cutler; Richard Duncan; Jacob L Moore; Erin B Ware; Min A Jhun; Lawrence F Bielak; Wei Zhao; Jennifer A Smith; Patricia A Peyser; Sharon L R Kardia; Debashis Ghosh; Michael P Epstein
Journal:  Am J Hum Genet       Date:  2016-03-03       Impact factor: 11.025

9.  Sickle Cell Disease in the Post Genomic Era: A Monogenic Disease with a Polygenic Phenotype.

Authors:  A Driss; K O Asare; J M Hibbert; B E Gee; T V Adamkiewicz; J K Stiles
Journal:  Genomics Insights       Date:  2009-07-30

10.  Variation in the upstream region of P-Selectin (SELP) is a risk factor for SLE.

Authors:  D L Morris; R R Graham; L-P Erwig; P M Gaffney; K L Moser; T W Behrens; T J Vyse; D S Cunninghame Graham
Journal:  Genes Immun       Date:  2009-04-30       Impact factor: 2.676

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