Literature DB >> 30980227

The pleiotropic effect of rs7903146 on type 2 diabetes and ischemic stroke: a family-based study in a Chinese population.

Jing Song1, Yiqun Wu1, Juan Juan2, Yaying Cao1, Tao Wu1, Yonghua Hu3.   

Abstract

The rs7903146, an established genetic variant susceptible to type 2 diabetes (T2D), is also reported to be related to ischemic stroke (IS), though conflicting. Furthermore, it remained unknown whether the genetic association with stroke is independent of T2D. In the current study, 1603 individuals across 986 families were included. The genetic pleiotropic effect on each outcome diseases (T2D, overall IS, or each subtype) was assessed using multilevel logistic regression after adjustment for multiple covariates. Principal component of heritability (PCH) was also used to assess the pleiotropy by combining T2D and IS into one outcome for analysis. To identify the T2D-independent path out of the pleiotropic effect on IS, T2D status was additionally adjusted for the risk of IS or each subtype. The analyses of putative molecular pathways (dyslipidemia, hypertension, obesity and inflammation) and gene-lifestyle interactions were also performed. We found that rs7903146_T allele was associated with a 77% higher risk of T2D, 55% of IS, and 70% of large artery atherosclerosis (LAA) subtype respectively. Particularly, a T2D-independent genetic effect was identified to increase the risk of overall IS and LAA. No evidence on the molecular mechanisms and gene-lifestyle interaction behind the pleiotropic genetic effect was observed. In conclusion, our study provided evidence that a T2D-independent path was identified out of the pleiotropic effect of rs7903146 on IS. However, further studies were needed to validate the biological mechanisms behind the pleiotropic effect and the modification by lifestyle intervention.

Entities:  

Keywords:  Interaction; Ischemic stroke; Pleiotropy; Transcription factor 7-like 2; Type 2 diabetes

Mesh:

Year:  2019        PMID: 30980227     DOI: 10.1007/s11239-019-01855-4

Source DB:  PubMed          Journal:  J Thromb Thrombolysis        ISSN: 0929-5305            Impact factor:   2.300


  84 in total

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Authors:  Maxime Turgeon; Karim Oualkacha; Antonio Ciampi; Hanane Miftah; Golsa Dehghan; Brent W Zanke; Andréa L Benedet; Pedro Rosa-Neto; Celia Mt Greenwood; Aurélie Labbe
Journal:  Stat Methods Med Res       Date:  2016-07-26       Impact factor: 3.021

2.  Transcription factor 7-like 2 (TCF7L2) polymorphism and context-specific risk of impaired fasting glucose in African American and Caucasian adults: the atherosclerosis risk in communities (ARIC) study.

Authors:  Yu Yan; Kari E North; Gerardo Heiss; Ronald Klein; Cynthia J Girman; Ethan M Lange; James S Pankow; Frederick L Brancati; Eric Boerwinkle
Journal:  Diabetes Metab Res Rev       Date:  2010-07       Impact factor: 4.876

3.  Transcription factor 7-like 2 single nucleotide polymorphisms are associated with lipid profile in the Balinese.

Authors:  Sukma Oktavianthi; Made R Saraswati; Ketut Suastika; Pande Dwipayana; Asri Sulfianti; Rahma F Hayati; Hidayat Trimarsanto; Clarissa A Febinia; Herawati Sudoyo; Safarina G Malik
Journal:  Mol Biol Rep       Date:  2018-07-19       Impact factor: 2.316

4.  Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies.

Authors:  N Sarwar; P Gao; S R Kondapally Seshasai; R Gobin; S Kaptoge; E Di Angelantonio; E Ingelsson; D A Lawlor; E Selvin; M Stampfer; C D A Stehouwer; S Lewington; L Pennells; A Thompson; N Sattar; I R White; K K Ray; J Danesh
Journal:  Lancet       Date:  2010-06-26       Impact factor: 202.731

5.  The T allele of rs7903146 TCF7L2 is associated with impaired insulinotropic action of incretin hormones, reduced 24 h profiles of plasma insulin and glucagon, and increased hepatic glucose production in young healthy men.

Authors:  K Pilgaard; C B Jensen; J H Schou; V Lyssenko; L Wegner; C Brøns; T Vilsbøll; T Hansen; S Madsbad; J J Holst; A Vølund; P Poulsen; L Groop; O Pedersen; A A Vaag
Journal:  Diabetologia       Date:  2009-03-14       Impact factor: 10.122

6.  The postprandial chylomicron triacylglycerol response to dietary fat in healthy male adults is significantly explained by a combination of single nucleotide polymorphisms in genes involved in triacylglycerol metabolism.

Authors:  Charles Desmarchelier; Jean-Charles Martin; Richard Planells; Marguerite Gastaldi; Marion Nowicki; Aurélie Goncalves; René Valéro; Denis Lairon; Patrick Borel
Journal:  J Clin Endocrinol Metab       Date:  2014-01-13       Impact factor: 5.958

7.  Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment.

Authors:  H P Adams; B H Bendixen; L J Kappelle; J Biller; B B Love; D L Gordon; E E Marsh
Journal:  Stroke       Date:  1993-01       Impact factor: 7.914

8.  Prevalence of cardiovascular disease and risk factors in a rural district of Beijing, China: a population-based survey of 58,308 residents.

Authors:  Liu He; Xun Tang; Yan Song; Na Li; Jingrong Li; Zongxin Zhang; Jianjiang Liu; Liping Yu; Haitao Xu; Jianguo Zhang; Yonghua Hu
Journal:  BMC Public Health       Date:  2012-01-16       Impact factor: 3.295

9.  Polymorphism of the Transcription Factor 7-Like 2 Gene (TCF7L2) Interacts with Obesity on Type-2 Diabetes in the PREDIMED Study Emphasizing the Heterogeneity of Genetic Variants in Type-2 Diabetes Risk Prediction: Time for Obesity-Specific Genetic Risk Scores.

Authors:  Dolores Corella; Oscar Coltell; Jose V Sorlí; Ramón Estruch; Laura Quiles; Miguel Ángel Martínez-González; Jordi Salas-Salvadó; Olga Castañer; Fernando Arós; Manuel Ortega-Calvo; Lluís Serra-Majem; Enrique Gómez-Gracia; Olga Portolés; Miquel Fiol; Javier Díez Espino; Josep Basora; Montserrat Fitó; Emilio Ros; José M Ordovás
Journal:  Nutrients       Date:  2016-12-06       Impact factor: 5.717

10.  Association between C reactive protein and coronary heart disease: mendelian randomisation analysis based on individual participant data.

Authors:  Frances Wensley; Pei Gao; Stephen Burgess; Stephen Kaptoge; Emanuele Di Angelantonio; Tina Shah; James C Engert; Robert Clarke; George Davey-Smith; Børge G Nordestgaard; Danish Saleheen; Nilesh J Samani; Manjinder Sandhu; Sonia Anand; Mark B Pepys; Liam Smeeth; John Whittaker; Juan Pablo Casas; Simon G Thompson; Aroon D Hingorani; John Danesh
Journal:  BMJ       Date:  2011-02-15
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