Literature DB >> 31435769

Major depression and small vessel stroke: a Mendelian randomization analysis.

Huan Cai1, Biyang Cai2, Hao Zhang3, Wen Sun4, Yingting Wang5, Shuyu Zhou6, Zusen Ye7, Zhizhong Zhang2, Jialin Liang8.   

Abstract

BACKGROUND AND
PURPOSE: Although observational studies have reported a positive association between depression and ischemic stroke, causality remains inconclusive. We aimed to assess the causal relationship of major depressive disorder (MDD) with ischemic stroke, especially with the small vessel stroke (SVS) subtype.
METHODS: We used 72 independent single-nucleotide polymorphisms associated with MDD in a genome-wide association study (GWAS) from the Psychiatric Genetics Consortium as instrumental variables. The corresponding data for ischemic stroke and its subtypes of European ancestry were available from the MEGASTROKE consortium of 34,217 ischemic stroke cases and 406,111 controls. Primary Mendelian randomization estimates were calculated with inverse-variance weighted method, and several alternate methods and multiple sensitivity analyses were also performed.
RESULTS: We found that genetic predisposition to higher risk of MDD was associated with higher risk of SVS, with an odds ratio of 1.33 (95% confidence interval, 1.08-1.65; p = 0.009) per log-odds increment in MDD risk, but not with large artery stroke (OR, 1.08; 95% CI 0.83-1.41; p = 0.559), cardioembolic stroke (OR, 0.98; 95% CI 0.80-1.20; p = 0.833), or all ischemic stroke (OR, 1.03; 95% CI 0.92-1.15; p = 0.633). The association of MDD with SVS was overall robust to sensitivity analyses.
CONCLUSIONS: We provided evidence for a possible causal effect of MDD on increased risk of SVS. Future researches are required to investigate whether rational intervention on depression may help to reduce societal burden of SVS.

Entities:  

Keywords:  Ischemic stroke; Major depression; Mendelian randomization; Single-nucleotide polymorphism; Small vessel stroke

Mesh:

Year:  2019        PMID: 31435769     DOI: 10.1007/s00415-019-09511-w

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  39 in total

1.  Correction to: Polygenic Risk for Depression Increases Risk of Ischemic Stroke From the Stroke Genetics Network Study.

Authors: 
Journal:  Stroke       Date:  2019-01       Impact factor: 7.914

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3.  Risk factors for ischaemic and intracerebral haemorrhagic stroke in 22 countries (the INTERSTROKE study): a case-control study.

Authors:  Martin J O'Donnell; Denis Xavier; Lisheng Liu; Hongye Zhang; Siu Lim Chin; Purnima Rao-Melacini; Sumathy Rangarajan; Shofiqul Islam; Prem Pais; Matthew J McQueen; Charles Mondo; Albertino Damasceno; Patricio Lopez-Jaramillo; Graeme J Hankey; Antonio L Dans; Khalid Yusoff; Thomas Truelsen; Hans-Christoph Diener; Ralph L Sacco; Danuta Ryglewicz; Anna Czlonkowska; Christian Weimar; Xingyu Wang; Salim Yusuf
Journal:  Lancet       Date:  2010-06-17       Impact factor: 79.321

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Authors:  Keun-Sik Hong; Sharon Yegiaian; Meng Lee; Juneyoung Lee; Jeffrey L Saver
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5.  Plasma lipids and cerebral small vessel disease.

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Review 6.  Depression in diabetic patients: the relationship between mood and glycemic control.

Authors:  Patrick J Lustman; Ray E Clouse
Journal:  J Diabetes Complications       Date:  2005 Mar-Apr       Impact factor: 2.852

7.  Trends and survival between ethnic groups after stroke: the South London Stroke Register.

Authors:  Yanzhong Wang; Anthony G Rudd; Charles D A Wolfe
Journal:  Stroke       Date:  2013-01-15       Impact factor: 7.914

8.  The MR-Base platform supports systematic causal inference across the human phenome.

Authors:  Gibran Hemani; Jie Zheng; Benjamin Elsworth; Tom R Gaunt; Philip C Haycock; Kaitlin H Wade; Valeriia Haberland; Denis Baird; Charles Laurin; Stephen Burgess; Jack Bowden; Ryan Langdon; Vanessa Y Tan; James Yarmolinsky; Hashem A Shihab; Nicholas J Timpson; David M Evans; Caroline Relton; Richard M Martin; George Davey Smith
Journal:  Elife       Date:  2018-05-30       Impact factor: 8.140

9.  Assessment of Bidirectional Relationships Between Physical Activity and Depression Among Adults: A 2-Sample Mendelian Randomization Study.

Authors:  Karmel W Choi; Chia-Yen Chen; Murray B Stein; Yann C Klimentidis; Min-Jung Wang; Karestan C Koenen; Jordan W Smoller
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10.  Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator.

Authors:  Jack Bowden; George Davey Smith; Philip C Haycock; Stephen Burgess
Journal:  Genet Epidemiol       Date:  2016-04-07       Impact factor: 2.135

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  6 in total

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2.  Residual risks of comorbidities after parathyroidectomy in a nationwide cohort of patients with primary hyperparathyroidism.

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Journal:  Endocrine       Date:  2022-10-12       Impact factor: 3.925

3.  Genetic Liability to Depression and Risk of Coronary Artery Disease, Myocardial Infarction, and Other Cardiovascular Outcomes.

Authors:  Yunlong Lu; Zhen Wang; Marios K Georgakis; Hefeng Lin; Liangrong Zheng
Journal:  J Am Heart Assoc       Date:  2020-12-29       Impact factor: 5.501

4.  Deciphering the Irregular Risk of Stroke Increased by Obesity Classes: A Stratified Mendelian Randomization Study.

Authors:  Xuelun Zou; Leiyun Wang; Linxiao Xiao; Zihao Xu; Tianxing Yao; Minxue Shen; Yi Zeng; Le Zhang
Journal:  Front Endocrinol (Lausanne)       Date:  2021-12-01       Impact factor: 5.555

5.  Evaluating the Causal Effects of TIMP-3 on Ischaemic Stroke and Intracerebral Haemorrhage: A Mendelian Randomization Study.

Authors:  Linxiao Xiao; Xuelun Zou; Yan Liang; Yuxiang Wang; Lang Zeng; Jianhuang Wu
Journal:  Front Genet       Date:  2022-04-04       Impact factor: 4.772

Review 6.  Genome-Wide Studies in Ischaemic Stroke: Are Genetics Only Useful for Finding Genes?

Authors:  Cristina Gallego-Fabrega; Elena Muiño; Jara Cárcel-Márquez; Laia Llucià-Carol; Miquel Lledós; Jesús M Martín-Campos; Natalia Cullell; Israel Fernández-Cadenas
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  6 in total

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