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21.08.2019 | Original Communication

Major depression and small vessel stroke: a Mendelian randomization analysis

verfasst von: Huan Cai, Biyang Cai, Hao Zhang, Wen Sun, Yingting Wang, Shuyu Zhou, Zusen Ye, Zhizhong Zhang, Jialin Liang

Erschienen in: Journal of Neurology | Ausgabe 11/2019

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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.

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Titel: Major depression and small vessel stroke: a Mendelian randomization analysis
verfasst von: Huan Cai
Biyang Cai
Hao Zhang
Wen Sun
Yingting Wang
Shuyu Zhou
Zusen Ye
Zhizhong Zhang
Jialin Liang
Publikationsdatum: 21.08.2019
Verlag: Springer Berlin Heidelberg
Erschienen in: Journal of Neurology / Ausgabe 11/2019
Print ISSN: 0340-5354
Elektronische ISSN: 1432-1459
DOI: https://doi.org/10.1007/s00415-019-09511-w

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