Evidence map›Paper›PMID 32172380›Full record

ArticleJournal of neurology2020

Genetic correlations and causal inferences in ischemic stroke.

Huan Cai, Biyang Cai, Zhonghua Liu, Wenjun Wu, Dihong Chen, Liang Fang, Liyi Chen, Wen Sun, Jialin Liang, Hao Zhang

Abstract read
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In one paragraph

Article in Journal of neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Huan Cai *Department of Rehabilitation, Zhongshan City People's Hospital, Zhongshan, 528403, Guangdong, China.
Biyang Cai *Department of Neurology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
Zhonghua LiuDepartment of Rehabilitation, Zhongshan City People's Hospital, Zhongshan, 528403, Guangdong, China.
Wenjun WuDepartment of Neurology, Zhongshan City People's Hospital, Zhongshan, 528403, Guangdong, China.
Dihong ChenDepartment of Neurology, Zhongshan City People's Hospital, Zhongshan, 528403, Guangdong, China.
Liang FangDepartment of Rehabilitation, Zhongshan City People's Hospital, Zhongshan, 528403, Guangdong, China.
Liyi ChenDepartment of Rehabilitation, Zhongshan City People's Hospital, Zhongshan, 528403, Guangdong, China.
Wen SunDivision of Life Sciences and Medicine, Stroke Center and Department of Neurology, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230026, Anhui, China.
Jialin LiangDepartment of Endocrinology and Metabolism, Zhongshan City People's Hospital, Zhongshan, 528403, Guangdong, China. jialin_endo@163.com.ORCID http://orcid.org/0000-0001-9517-0026
Hao ZhangDepartment of Neurology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, Zhejiang, China. zh_hao_neurol@163.com.
Zhongshan People's Hospital · CNHangzhou First People's Hospital · CNNanjing General Hospital of Nanjing Military Command · CNUniversity of Science and Technology of China · CN

Funding

Social Welfare Science and Technology Research Project of Zhongshan City 2018B1065
6 · The paper itself

Abstract

background and purposeConsiderable studies have reported inconsistent relationships between ischemic stroke and a large number of factors. These uncertainties may reflect the susceptibility to confounding in observational studies. We aimed to assess genetic correlations and causal relationships between ischemic stroke and diverse phenotypes.

methodsSummary-level data for ischemic stroke (34,217 cases and 406,111 controls) from the MEGASTROKE consortium were used as the outcome. Exposures were derived from two GWAS statistics curated databases. We explored the genetic correlations and causalities between hundreds of traits and ischemic stroke, using linkage disequilibrium score regression and Mendelian randomization (MR), respectively. Multiple sensitivity analyses were also performed.

resultsGenetic correlation analyses reflected genetic overlaps between ischemic stroke and physical activity, cardiometabolic factors, smoking, and lung function. Applying MR, we found suggestive evidence that genetic predisposition to higher concentration of low-density lipoprotein particles (LDL.P) and cholesterol carried in different sizes of LDL.P (LDL.C) were associated with higher risk of ischemic stroke, particular large artery stroke. The strongest effect was observed for small LDL.P in large artery stroke (OR 1.31, 95% CI 1.09-1.56, p = 0.003). The results were overall robust for sensitivity analyses. We further observed significant positive associations of genetically predicted LDL.P and LDL.C with coronary artery disease and myocardial infarction.

conclusionsShared genetic overlaps might exist between ischemic stroke and physical activity, cardiometabolic factors, smoking, and lung function. We provided suggestive evidence for a potential causal role of LDL.P and LDL.C in ischemic stroke, particularly in large artery stroke. Future researches are required to confirm these findings.

Indexed as

ExerciseGenetic Predisposition to DiseaseIschemic StrokeCholesterol, LDLGenome-Wide Association StudyHumansMendelian Randomization AnalysisRisk FactorsCholesterol, LDLIschemic strokeLinkage disequilibrium score regressionMendelian randomizationRisk factorSingle nucleotide polymorphism

Identifiers

PMID32172380
OpenAlexW3011059580

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.