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

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 stu...

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Main Authors: Ting Wang, Zaixiang Tang, Xinghao Yu, Yixing Gao, Fengjun Guan, Chengzong Li, Shuiping Huang, Junnian Zheng, Ping Zeng
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2020.00479/full
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spelling doaj-03106cfca3f642dd8f758055591216372020-11-25T04:04:23ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2020-06-011410.3389/fnins.2020.00479514931Birth Weight and Stroke in Adult Life: Genetic Correlation and Causal Inference With Genome-Wide Association Data SetsTing Wang0Zaixiang Tang1Xinghao Yu2Yixing Gao3Fengjun Guan4Chengzong Li5Shuiping Huang6Junnian Zheng7Junnian Zheng8Junnian Zheng9Ping Zeng10Department of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, ChinaDepartment of Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, ChinaDepartment of Pediatrics, Affiliated Hospital of Xuzhou Medical University, Xuzhou, ChinaCenter of Stroke and Department of Cardiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, ChinaCancer Institute, Xuzhou Medical University, Xuzhou, ChinaCenter of Clinical Oncology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, ChinaJiangsu Center for the Collaboration and Innovation of Cancer Biotherapy, Cancer Institute, Xuzhou Medical University, Xuzhou, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, ChinaObjectivePrior 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) (n = 264,498 for birth weight and 446,696 for stroke). We further validated the MR results with extensive sensitivity analyses.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.https://www.frontiersin.org/article/10.3389/fnins.2020.00479/fullbirth weightstroke and subtypesischemic strokeMendelian randomizationmaternal effectcausal association
collection DOAJ
language English
format Article
sources DOAJ
author Ting Wang
Zaixiang Tang
Xinghao Yu
Yixing Gao
Fengjun Guan
Chengzong Li
Shuiping Huang
Junnian Zheng
Junnian Zheng
Junnian Zheng
Ping Zeng
spellingShingle Ting Wang
Zaixiang Tang
Xinghao Yu
Yixing Gao
Fengjun Guan
Chengzong Li
Shuiping Huang
Junnian Zheng
Junnian Zheng
Junnian Zheng
Ping Zeng
Birth Weight and Stroke in Adult Life: Genetic Correlation and Causal Inference With Genome-Wide Association Data Sets
Frontiers in Neuroscience
birth weight
stroke and subtypes
ischemic stroke
Mendelian randomization
maternal effect
causal association
author_facet Ting Wang
Zaixiang Tang
Xinghao Yu
Yixing Gao
Fengjun Guan
Chengzong Li
Shuiping Huang
Junnian Zheng
Junnian Zheng
Junnian Zheng
Ping Zeng
author_sort Ting Wang
title Birth Weight and Stroke in Adult Life: Genetic Correlation and Causal Inference With Genome-Wide Association Data Sets
title_short Birth Weight and Stroke in Adult Life: Genetic Correlation and Causal Inference With Genome-Wide Association Data Sets
title_full Birth Weight and Stroke in Adult Life: Genetic Correlation and Causal Inference With Genome-Wide Association Data Sets
title_fullStr Birth Weight and Stroke in Adult Life: Genetic Correlation and Causal Inference With Genome-Wide Association Data Sets
title_full_unstemmed Birth Weight and Stroke in Adult Life: Genetic Correlation and Causal Inference With Genome-Wide Association Data Sets
title_sort birth weight and stroke in adult life: genetic correlation and causal inference with genome-wide association data sets
publisher Frontiers Media S.A.
series Frontiers in Neuroscience
issn 1662-453X
publishDate 2020-06-01
description 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) (n = 264,498 for birth weight and 446,696 for stroke). We further validated the MR results with extensive sensitivity analyses.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.
topic birth weight
stroke and subtypes
ischemic stroke
Mendelian randomization
maternal effect
causal association
url https://www.frontiersin.org/article/10.3389/fnins.2020.00479/full
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