Maternal and fetal origins of offspring blood pressure: statistical analysis using genetic correlation and genetic risk score-based Mendelian randomization

Author:

Jin Siyi1,Wang Ting1,Wenying Chen1,Wu Yuxuan1,Huang Shuiping12345,Zeng Ping12345ORCID

Affiliation:

1. Department of Biostatistics, School of Public Health, Xuzhou Medical University , Xuzhou, Jiangsu, China

2. Center for Medical Statistics and Data Analysis, Xuzhou Medical University , Xuzhou, Jiangsu, China

3. Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University , Xuzhou, Jiangsu, China

4. Key Laboratory of Environment and Health, Xuzhou Medical University , Xuzhou, Jiangsu, China

5. Engineering Research Innovation Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University , Xuzhou, Jiangsu, China

Abstract

Abstract Background Epidemiological studies demonstrated that adverse in utero environment was associated with increased risk of offspring high blood pressure, by using birthweight as the proxy of maternal intrauterine exposure; however, the nature of such association remains less understood. Methods With maternal/fetal-specific summary statistics of birthweight (n = 297 356 for own birthweight and n = 210 248 for offspring birthweight) and summary statistics of blood pressure [i.e. systolic blood pressure (SBP), diastolic blood pressure (DBP) and pulse pressure (PP)] (n = 757 601), we evaluated the genetic correlation between fetal-specific birthweight and blood pressure using cross-trait linkage disequilibrium score regression, and next detected pleiotropic genes for them with a pleiotropy mapping method called mixture-adjusted intersect-union pleiotropy test. Furthermore, we conducted a genetic risk score (GRS)-based Mendelian randomization analysis in parent-offspring pairs (n = 6031) of the UK Biobank cohort, to assess the causal relation between maternal-specific GRS and blood pressure conditioning on fetal genotypes. Results We found fetal-specific birthweight had a negative genetic correlation with DBP (ρ^g = −0.174, P = 1.68 × 10–10), SBP (ρ^g = −0.198, P = 8.09 × 10–12), and PP (ρ^g = −0.152, P = 6.04 × 10–8), and detected 143, 137 and 135 pleiotropic genes shared between fetal-specific birthweight and PP, SBP and DBP, respectively. These genes often exhibited opposite genetic effects, and were more likely to be differentially expressed in pancreas, liver, heart, brain, whole blood and muscle skeletal tissues. A causal negative association of maternal-specific birthweight was identified with SBP (P = 2.20 × 10–2) and PP (P = 7.67 × 10–3) but not DBP (P = 0.396) in mother-offspring pairs, after accounting for the influence of fetal-specific GRS; and the two significant relations were robust against the horizontal pleiotropy of instruments and the confounding influence of gestational duration and preterm birth. However, these causal associations could not be detected in father-offspring pairs. Conclusions This study revealed common genetic components underlying birthweight and blood pressure, and provided important insight into aetiology and early prevention of high blood pressure.

Funder

National Natural Science Foundation of China

Youth Foundation of Humanity and Social Science

Ministry of Education of China

Natural Science Foundation of Jiangsu Province of China

China Postdoctoral Science Foundation

QingLan Research Project of Jiangsu Province for Young and Middle Academic Leaders

Jiangsu Province of China

Training Project for Youth Teams of Science and Technology Innovation at Xuzhou Medical University

Postdoctoral Science Foundation of Xuzhou Medical University

Statistical Science Research

National Bureau of Statistics of China

Social Development Project of Xuzhou City

Publisher

Oxford University Press (OUP)

Subject

General Medicine,Epidemiology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3