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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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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