Association of genetic variants with atherothrombotic cerebral infarction in Japanese individuals with metabolic syndrome

Yamada, Yoshiji; Kato, Koichi; Oguri, Mitsutoshi; Yoshida, Tetsuro; Yokoi, Kiyoshi; Watanabe, Soichi; Metoki, Norifumi; Yoshida, Hidemi; Satoh, Kei; Ichihara, Sahoko; Aoyagi, Yukitoshi; Yasunaga, Akitomo; Park, Hyuntae; Tanaka, Masashi; Nozawa, Yoshinori

doi:10.3892/ijmm.21.6.801

Cited by 44 publications

(67 citation statements)

References 25 publications

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“…This analysis showed that none of the individual studies influenced the pooled ORs, which ranged from 1.29 (95%CI = 1.08-1.55) to 1.41 (95%CI = 1.19-1.69) for T2DM and from 1.009 (95%CI = 0.897-1.135) to 1.089 (95%CI = 0.945-1.256) for obesity, indicating that the results of the meta-analysis were reliable and stable. However, the results of the meta-analysis for MetS were not stable, being more significant (P < 0.001, OR = 1.281, 95%CI = 1.182-1.389) after removing Turkovic's study, and nonsignificant after excluding studies by Vimaleswaran et al (2006), Csép et al (2007), Yamada et al (2008), or the one by Mitsutoshi et al (2007).…”

Section: Sensitivity Analysismentioning

confidence: 91%

“…The between-study heterogeneity may have arisen for one of the following reasons. First, different diagnostic criteria for MetS: IDF (Csép et al, 2007;Turkovic et al, 2012), American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) (Yamada et al, 2008;Oguri et al, 2009); and Adult Treatment Panel III guidelines (ATPIII) (Vimaleswaran et al, 2006;Miller et al, 2007). Second, ethnicity differences; the T allele frequencies of controlsubject Croatians, Indians, Romanians, Han Chinese, and Japanese were 0.224, 0.269, 0.281, 0.297, and 0.329, respectively.…”

Section: Discussionmentioning

confidence: 99%

“…Third, selection bias; the differences in age and gender distributions among the studies included and the difference in sample content might also contribute to the heterogeneity. The age of the control subjects ranged from our 52.1 to 78.8 (Turkovic et al, 2012), and sample sizes ranged from 73 (Yamada et al, 2008) to 1114 (Oguri et al, 2009).…”

Section: Discussionmentioning

confidence: 99%

“…Five studies showed a trend of elevated OR for the allele T (Vimaleswaran et al, 2006;Miller et al, 2007;Csép et al, 2007;Yamada et al, 2008;Oguri et al, 2009). Only one study showed a trend in the opposite direction (Turkovic et al, 2012).…”

Section: A B Cmentioning

confidence: 99%

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Association of the FABP2 Ala54Thr polymorphism with type 2 diabetes, obesity, and metabolic syndrome: a population-based case-control study and a systematic meta-analysis

Liu¹,

Wu²,

Han³

et al. 2015

Genet. Mol. Res.

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ABSTRACT. Previous studies have reported associations between the functional FABP2 Ala54Thr (rs1799883) polymorphism and type 2 diabetes mellitus (T2DM), obesity, and metabolic syndrome in different populations with conflicting results. We investigated the association between the FABP2 Ala54Thr polymorphism and T2DM (235 cases, 431 controls), obesity (377 cases, 431 controls), and metabolic syndrome (315 cases, 323 controls) by logistic regression analysis in a Chinese study cohort recruited from Yichang, Hubei Province. We then comprehensively reviewed the association of the FABP2 Ala54Thr polymorphism with T2DM, obesity, and metabolic syndrome via meta-analysis. The strength of association was assessed by odds ratios (ORs) with 95% confidence intervals (CIs). The FABP2 Ala54Thr polymorphism was significantly associated with obesity (AT vs AA:Y. Liu et al. 1156©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 14 (1): 1155-1168 (2015) OR = 2.633, 95%CI = 1.065-6.663, P = 0.036; TT vs AA: OR = 4.160, 95%CI = 1.609-10.757, P = 0.003) and metabolic syndrome (TT vs AA: OR = 2.273, 95%CI = 1.242-4.156, P = 0.008) by logistic regression with adjustment for covariates. However, no significant association was found between T2DM and the FABP2 Ala54Thr polymorphism. We identified 24 studies on T2DM (4517 cases, 5224 controls), 9 studies on obesity (949 cases, 2002 controls), and 6 studies on metabolic syndrome (2194 cases, 3282 controls) by literature search. The metaanalyses revealed significant associations for metabolic syndrome (T allele: OR = 1.179, 95%CI = 1.015-1.362, P = 0.031) and T2DM (T allele: OR = 1.160, 95%CI = 1.08-1.24, P < 0.001), but no association for obesity (T allele: OR = 1.069, 95%CI = 0.925-1.235, P = 0.367).

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Section: Sensitivity Analysismentioning

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: A B Cmentioning

confidence: 99%

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Association of the FABP2 Ala54Thr polymorphism with type 2 diabetes, obesity, and metabolic syndrome: a population-based case-control study and a systematic meta-analysis

Liu¹,

Wu²,

Han³

et al. 2015

Genet. Mol. Res.

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“…These particular polymorphisms also have been shown to increase the risk for restenosis following coronary stenting, as well as for hypertension and atherothrombotic cerebral infarction in Japanese (6)(7)(8).…”

Section: Introductionmentioning

confidence: 99%

ROS1 Asp2213Asn polymorphism is not associated with coronary artery disease in a Greek case-control study

Theodoraki¹,

Nikopensius²,

Suhorutšenko³

et al. 2009

Clinical Chemistry and Laboratory Medicine

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Background: Rs619203 (Cys2229Ser) and rs529038 (Asp2213Asn) polymorphisms in the ROS1 gene have been studied in relation to myocardial infarction (MI) yielding inconsistent results. We investigated the role of ROS1 rs529038 polymorphism in coronary artery disease (CAD) in Greeks using a case-control study. Methods: Genotyping for rs529038 polymorphism was performed using a multiplex PCR technique in patients with CAD (ns294) and controls (ns311). Logistic regression analysis was used to calculate crude and adjusted odds ratios (ORs). Results: Logistic regression analysis did not show any statistically significant effect of ROS1 polymorphism in the occurrence of CAD (AG vs. AA, OR: 1.08, ps0.635; GG vs. AA, OR: 0.62, ps0.220). Adjustment for confounding factors gave similar results, irrespective of the type of disease (i.e., stable coronary artery disease vs. acute coronary syndrome). Conclusions: Our findings do not support the hypothesis that ROS1 rs529038 polymorphism is an important contributing factor in the etiology of CAD in the Greek population.

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COX2 and NOS3 gene polymorphisms in women with gestational diabetes

Tarnowski

Tkacz

Dziedziejko

et al. 2017

The Journal of Gene Medicine

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Association of genetic variants with atherothrombotic cerebral infarction in Japanese individuals with metabolic syndrome

Cited by 44 publications

References 25 publications

Association of the FABP2 Ala54Thr polymorphism with type 2 diabetes, obesity, and metabolic syndrome: a population-based case-control study and a systematic meta-analysis

Association of the FABP2 Ala54Thr polymorphism with type 2 diabetes, obesity, and metabolic syndrome: a population-based case-control study and a systematic meta-analysis

ROS1 Asp2213Asn polymorphism is not associated with coronary artery disease in a Greek case-control study

COX2 and NOS3 gene polymorphisms in women with gestational diabetes

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