Literature DB >> 19407234

Genetic determinants of white matter hyperintensities on brain scans: a systematic assessment of 19 candidate gene polymorphisms in 46 studies in 19,000 subjects.

Lavinia Paternoster1, Wanting Chen, Cathie L M Sudlow.   

Abstract

BACKGROUND AND
PURPOSE: White matter hyperintensities (WMH) are highly heritable and associated with small artery ischemic stroke, so they may be a useful trait for studying the genetics of small vessel disease. Many studies have attempted to find associations between polymorphisms in various candidate genes and WMH. We aimed to evaluate the evidence for these associations by performing a systematic review and series of meta-analyses.
METHODS: We used a comprehensive search strategy to identify studies of the association between any genetic polymorphism and WMH. For all polymorphisms in genes studied in >2000 subjects we performed meta-analyses, calculating pooled odds ratios or standardized mean differences.
RESULTS: We identified 46 studies of polymorphisms in 19 genes in approximately 19 000 subjects. Most genes were involved in lipid metabolism, control of vascular tone, or blood pressure regulation. Polymorphisms in the apolipoprotein E, angiotensin-converting enzyme, methylenetetrahydrofolate reductase, and angiotensinogen genes had been studied in >2000 subjects and were evaluated by meta-analysis. There was no evidence for an association between apolipoprotein E (epsilon 4+/-), methylenetetrahydrofolate reductase (677 cytosine/thymine polymorphism [C/T]), or angiotensinogen (Met235Thr) and WMH. For the angiotensin-converting enzyme insertion/deletion polymorphism (I/D) there appeared to be a significant association (OR, 1.95; 95% CI, 1.09-3.48), but this may be partly attributable to the small study (mainly publication) and other biases.
CONCLUSIONS: No genetic polymorphism has yet shown convincing evidence for an association with WMH. Much larger studies will be needed to detect and confirm genetic associations with this promising trait in the era of genome-wide association studies.

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Year:  2009        PMID: 19407234     DOI: 10.1161/STROKEAHA.108.542050

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  39 in total

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Authors:  Wei Li; Bo Hu; Gui-Lin Li; Xing-Quan Zhao; Bao-Zhong Xin; Jin-Xi Lin; Yuan Shen; Xian-Hong Liang; Gai-Fen Liu; Han-Qing Gao; Xiao-Ling Liao; Zhi-Gang Liang; Yong-Jun Wang
Journal:  CNS Neurosci Ther       Date:  2012-05-24       Impact factor: 5.243

2.  Neuromarkers of the common angiotensinogen polymorphism in healthy older adults: A comprehensive assessment of white matter integrity and cognition.

Authors:  Lauren E Salminen; Peter R Schofield; Kerrie D Pierce; Yi Zhao; Xi Luo; Youdan Wang; David H Laidlaw; Ryan P Cabeen; Thomas E Conturo; David F Tate; Erbil Akbudak; Elizabeth M Lane; Jodi M Heaps; Jacob D Bolzenius; Laurie M Baker; Lee M Cagle; Robert H Paul
Journal:  Behav Brain Res       Date:  2015-08-28       Impact factor: 3.332

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Review 4.  Genetic susceptibility to ischemic stroke.

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Review 8.  Blood and CSF biomarkers in brain subcortical ischemic vascular disease: Involved pathways and clinical applicability.

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Journal:  Neurology       Date:  2013-07-16       Impact factor: 9.910

10.  Lipid profile components and subclinical cerebrovascular disease in the northern Manhattan study.

Authors:  Joshua Z Willey; Hannah Gardener; Yeseon P Moon; Mitsuhiro Yoshita; Charles DeCarli; Ying Kuen Cheung; Ralph L Sacco; Mitchell S V Elkind; Clinton B Wright
Journal:  Cerebrovasc Dis       Date:  2014-07-12       Impact factor: 2.762

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