Evidence map›Paper›PMID 32595438›Full record

ArticleFrontiers in neuroscience2020

Birth Weight and Stroke in Adult Life: Genetic Correlation and Causal Inference With Genome-Wide Association Data Sets.

Ting Wang, Zaixiang Tang, Xinghao Yu, Yixing Gao, Fengjun Guan, Chengzong Li, Shuiping Huang, Junnian Zheng, Ping Zeng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
5.2field-weighted citation impact, top 5% 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, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

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  8. Genetics of common cerebral small vessel disease.Nature reviews. Neurology · 2022
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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

9 authors at 2 institutions in 1 country.

Ting WangDepartment of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Zaixiang TangDepartment of Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, China.
Xinghao YuDepartment of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Yixing GaoDepartment of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Fengjun GuanDepartment of Pediatrics, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Chengzong LiCenter of Stroke and Department of Cardiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Shuiping HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Junnian ZhengCancer Institute, Xuzhou Medical University, Xuzhou, China.
Ping ZengDepartment of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Xuzhou Medical College · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePrior studies have shown that there is an inverse association between birth weight and stroke in adulthood; however, whether such association is causal remains yet known and those studies cannot distinguish between the direct fetal effect and the indirect maternal effect. The aim of the study is to untangle such relationship using novel statistical genetic approaches.

methodsWe first utilized linkage disequilibrium score regression (LDSC) and Genetic analysis incorporating Pleiotropy and Annotation (GPA) to estimate the overall genetic correlation between birth weight and stroke. Then, with a set of valid birth-weight instruments which had adjusted fetal and maternal effects, we performed a two-sample Mendelian randomization (MR) to evaluate its causal effect on stroke based summary statistics from large scale genome-wide association study (GWAS) (

resultsBoth LDSC and GPA demonstrated significant evidence of shared maternal genetic foundation between birth weight and stroke, with the genetic correlation estimated to -0.176. However, no fetal genetic correlation between birth weight and stroke was detected. Furthermore, the inverse variance weighted MR demonstrated the maternally causal effect of birth weight on stroke was 1.12 (95% confidence interval [CI] 1.00-1.27). The maternal ORs of birth weight on three subtypes of stroke including cardioembolic stroke (CES), large artery stroke (LAS) and small vessel stroke (SVS) were 1.16 (95% CI 0.93-1.43), 1.50 (95% CI 1.14-1.96) and 1.47 (95% CI 1.15-1.87), respectively. In contrast, no fetal causal associations were found between birth weight and stroke or the subtypes. Those results were robust against extensive sensitivity analyses, with Egger regression ruling out the possibility of pleiotropy and multivariable MR excluding the likelihood of confounding or mediation effects of other risk factors of stroke.

conclusionThis study provides empirically supportive evidence on the fetal developmental origins of stroke and its subtypes. However, further investigation is warranted to understand the pathophysiological role of low birth weight in developing stroke.

Indexed as

birth weightcausal associationfetal originsgenetic correlationischemic strokematernal effectMendelian randomizationstroke and subtypes

Identifiers

PMID32595438
PMCPMC7301963
OpenAlexW3034996976

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.