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. 2006 Nov;18(5):871-83.

Genetic risk for atherothrombotic cerebral infarction in individuals stratified by sex or conventional risk factors for atherosclerosis

Affiliations
  • PMID: 17016617

Genetic risk for atherothrombotic cerebral infarction in individuals stratified by sex or conventional risk factors for atherosclerosis

Sachiyo Yamaguchi et al. Int J Mol Med. 2006 Nov.

Abstract

The aim of the present study was to assess the genetic risk for atherothrombotic cerebral infarction (ACI) in men and women separately as well as in individuals with or without conventional risk factors for atherosclerosis and thereby to contribute to the personalized prevention of ACI. The study population comprised 2705 unrelated Japanese individuals (1244 men, 1461 women), including 636 subjects (372 men, 264 women) with ACI. Subjects with ACI and controls either had or did not have conventional risk factors for atherosclerosis, including hypertension, hypercholesterolemia, and diabetes mellitus. The genotypes for 202 polymorphisms of 152 candidate genes were determined by a method that combines polymerase chain reaction and sequence-specific oligonucleotide probes with suspension array technology. Multivariable logistic regression analysis and a stepwise forward selection procedure revealed that 11 different polymorphisms were significantly (P < 0.005) associated with ACI in women or men or in individuals with or without hyper-tension, hypercholesterolemia, or diabetes mellitus: the 584C-->T polymorphism of LIPG, 5665G-->T of EDN1, and G-->A of CCL11 in women; 677C-->T of MTHFR, 1323C-->T of ITGB2, 3932T-->C of APOE, and -231A-->G of EDNRA in men; -572 G -->C of IL6 in hypertensive individuals; -403G-->A of CCL5 and G-->A of COMT in individuals with hypercholesterolemia; and 3932T--> C of APOE and A-->G of TNFSF4 in diabetic individuals. Polymorphisms associated with ACI may thus differ between women and men as well as among individuals with different risk factors. Stratification of subjects on the basis of sex or conventional risk factors for atherosclerosis may therefore be important in order to achieve the personalized prevention of ACI with the use of genetic information.

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