Literature DB >> 31238828

Genetically Determined Risk of Depression and Functional Outcome After Ischemic Stroke.

Dipender Gill1, Nicole E James2, Grace Monori2, Erik Lorentzen3, Israel Fernandez-Cadenas4,5,6, Robin Lemmens7,8,9, Vincent Thijs10,11, Natalia S Rost12, Rodney Scott13,14, Graeme J Hankey15, Arne Lindgren16,17, Christina Jern18, Jane M Maguire14,19,20.   

Abstract

Background and Purpose- Psychosocial factors can have implications for ischemic stroke risk and recovery. This study investigated the effect of genetically determined risk of depression on these outcomes using the Mendelian randomization (MR) framework. Methods- Genetic instruments for risk of depression were identified in a discovery genome-wide association study of 246 363 cases and 561 190 controls and further replicated in a separate population of 474 574 cases and 1 032 579 controls. Corresponding genetic association estimates for risk of ischemic stroke were taken from 60 341 cases and 454 450 controls, with those for functional outcome 3 months after ischemic stroke taken from an analysis of 6021 patients. Following statistical power calculation, inverse-variance weighted MR was performed to pool estimates across different instruments. The Cochran Q heterogeneity test, weighted median MR, and MR pleiotropy residual sum and outlier were used to explore possible bias relating to inclusion of pleiotropic variants. Results- There was no MR evidence for an effect of genetically determined risk of depression on ischemic stroke risk. Although suffering low statistical power, the main inverse-variance weighted MR analysis was suggestive of a detrimental effect of genetically determined risk of depression on functional outcome after ischemic stroke (odds ratio of poor outcome [modified Rankin Scale, ≥3] per 1-SD increase in genetically determined risk of depression, 1.81; 95% CI, 0.98-3.35; P=0.06). There was no evidence of heterogeneity between MR estimates produced by different instruments (Q P=0.26). Comparable MR estimates were obtained with weighted median MR (odds ratio, 2.57; 95% CI, 1.05-6.25; P=0.04) and MR pleiotropy residual sum and outlier (odds ratio, 1.81; 95% CI, 0.95-3.46; P=0.08). Conclusions- We found no MR evidence of genetically determined risk of depression affecting ischemic stroke risk but did find consistent MR evidence suggestive of a possible effect on functional outcome after ischemic stroke. Given the widespread prevalence of depression-related morbidity, these findings could have implications for prognostication and personalized rehabilitation after stroke.

Entities:  

Keywords:  depression; morbidity; stroke

Year:  2019        PMID: 31238828     DOI: 10.1161/STROKEAHA.119.026089

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


  8 in total

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

Authors:  Huan Cai; Biyang Cai; Hao Zhang; Wen Sun; Yingting Wang; Shuyu Zhou; Zusen Ye; Zhizhong Zhang; Jialin Liang
Journal:  J Neurol       Date:  2019-08-21       Impact factor: 4.849

Review 2.  Using Human Genetics to Understand Mechanisms in Ischemic Stroke Outcome: From Early Brain Injury to Long-Term Recovery.

Authors:  Jin-Moo Lee; Israel Fernandez-Cadenas; Arne G Lindgren
Journal:  Stroke       Date:  2021-08-17       Impact factor: 10.170

3.  Establishing the Omics Nursing Science & Education Network.

Authors:  Lois A Tully; Kathleen A Calzone; Ann K Cashion
Journal:  J Nurs Scholarsh       Date:  2020-02-06       Impact factor: 3.928

4.  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

Review 5.  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
Journal:  Int J Mol Sci       Date:  2022-06-20       Impact factor: 6.208

6.  Feasibility of a Clinical-Radiomics Model to Predict the Outcomes of Acute Ischemic Stroke.

Authors:  Yiran Zhou; Di Wu; Su Yan; Yan Xie; Shun Zhang; Wenzhi Lv; Yuanyuan Qin; Yufei Liu; Chengxia Liu; Jun Lu; Jia Li; Hongquan Zhu; Weiyin Vivian Liu; Huan Liu; Guiling Zhang; Wenzhen Zhu
Journal:  Korean J Radiol       Date:  2022-05-27       Impact factor: 7.109

7.  Relationship between circadian syndrome and stroke: A cross-sectional study of the national health and nutrition examination survey.

Authors:  Yuling Wang; Ling Yang; Yan Zhang; Junyan Liu
Journal:  Front Neurol       Date:  2022-08-11       Impact factor: 4.086

8.  LTBP1 plays a potential bridge between depressive disorder and glioblastoma.

Authors:  Xiaojun Fu; Pei Zhang; Hongwang Song; Chenxing Wu; Shengzhen Li; Shouwei Li; Changxiang Yan
Journal:  J Transl Med       Date:  2020-10-15       Impact factor: 5.531

  8 in total

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