{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T13:03:36Z","timestamp":1763643816989,"version":"3.37.3"},"reference-count":102,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2023,3,21]],"date-time":"2023-03-21T00:00:00Z","timestamp":1679356800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82173630","81402765"],"award-info":[{"award-number":["82173630","81402765"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Youth Foundation of Humanity and Social Science"},{"DOI":"10.13039\/501100002338","name":"Ministry of Education of China","doi-asserted-by":"publisher","award":["18YJC910002"],"award-info":[{"award-number":["18YJC910002"]}],"id":[{"id":"10.13039\/501100002338","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of Jiangsu Province of China","award":["BK20181472"],"award-info":[{"award-number":["BK20181472"]}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2018M630607","2019T120465"],"award-info":[{"award-number":["2018M630607","2019T120465"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"QingLan Research Project of Jiangsu Province for Young and Middle Academic Leaders"},{"name":"Jiangsu Province of China","award":["WSN-087"],"award-info":[{"award-number":["WSN-087"]}]},{"name":"Training Project for Youth Teams of Science and Technology Innovation at Xuzhou Medical University","award":["TD202008"],"award-info":[{"award-number":["TD202008"]}]},{"name":"Postdoctoral Science Foundation of Xuzhou Medical University"},{"name":"Statistical Science Research"},{"DOI":"10.13039\/100009376","name":"National Bureau of Statistics of China","doi-asserted-by":"publisher","award":["2014LY112"],"award-info":[{"award-number":["2014LY112"]}],"id":[{"id":"10.13039\/100009376","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Social Development Project of Xuzhou City","award":["KC20062"],"award-info":[{"award-number":["KC20062"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,10,5]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>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.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>With maternal\/fetal-specific summary statistics of birthweight (n\u2009=\u2009297\u200a356 for own birthweight and n\u2009=\u2009210\u200a248 for offspring birthweight) and summary statistics of blood pressure [i.e. systolic blood pressure (SBP), diastolic blood pressure (DBP) and pulse pressure (PP)] (n\u2009=\u2009757\u200a601), 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\u2009=\u20096031) of the UK Biobank cohort, to assess the causal relation between maternal-specific GRS and blood pressure conditioning on fetal genotypes.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>We found fetal-specific birthweight had a negative genetic correlation with DBP (\u03c1^g\u2009=\u2009\u22120.174, P\u2009=\u20091.68\u2009\u00d7\u200910\u201310), SBP (\u03c1^g\u2009=\u2009\u22120.198, P\u2009=\u20098.09\u2009\u00d7\u200910\u201312), and PP (\u03c1^g\u2009=\u2009\u22120.152, P\u2009=\u20096.04\u2009\u00d7\u200910\u20138), 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\u2009=\u20092.20\u2009\u00d7\u200910\u20132) and PP (P\u2009=\u20097.67\u2009\u00d7\u200910\u20133) but not DBP (P\u2009=\u20090.396) 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.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>This study revealed common genetic components underlying birthweight and blood pressure, and provided important insight into aetiology and early prevention of high blood pressure.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/ije\/dyad034","type":"journal-article","created":{"date-parts":[[2023,3,21]],"date-time":"2023-03-21T23:02:27Z","timestamp":1679439747000},"page":"1360-1376","source":"Crossref","is-referenced-by-count":5,"title":["Maternal and fetal origins of offspring blood pressure: statistical analysis using genetic correlation and genetic risk score-based Mendelian randomization"],"prefix":"10.1093","volume":"52","author":[{"given":"Siyi","family":"Jin","sequence":"first","affiliation":[{"name":"Department of Biostatistics, School of Public Health, Xuzhou Medical University , Xuzhou, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ting","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, School of Public Health, Xuzhou Medical University , Xuzhou, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chen","family":"Wenying","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, School of Public Health, Xuzhou Medical University , Xuzhou, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuxuan","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, School of Public Health, Xuzhou Medical University , Xuzhou, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuiping","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, School of Public Health, Xuzhou Medical University , Xuzhou, Jiangsu, China"},{"name":"Center for Medical Statistics and Data Analysis, Xuzhou Medical University , Xuzhou, Jiangsu, China"},{"name":"Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University , Xuzhou, Jiangsu, China"},{"name":"Key Laboratory of Environment and Health, Xuzhou Medical University , Xuzhou, Jiangsu, China"},{"name":"Engineering Research Innovation Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University , Xuzhou, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2710-3440","authenticated-orcid":false,"given":"Ping","family":"Zeng","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, School of Public Health, Xuzhou Medical University , Xuzhou, Jiangsu, China"},{"name":"Center for Medical Statistics and Data Analysis, Xuzhou Medical University , Xuzhou, Jiangsu, China"},{"name":"Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University , Xuzhou, Jiangsu, China"},{"name":"Key Laboratory of Environment and Health, Xuzhou Medical University , Xuzhou, Jiangsu, China"},{"name":"Engineering Research Innovation Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University , Xuzhou, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2023,3,21]]},"reference":[{"key":"2023100820070118700_dyad034-B1","doi-asserted-by":"crossref","first-page":"895","DOI":"10.1016\/j.tig.2020.07.010","article-title":"Challenges of genetic data sharing in African studies","volume":"36","author":"Stein","year":"2020","journal-title":"Trends Genet"},{"key":"2023100820070118700_dyad034-B2","doi-asserted-by":"crossref","first-page":"967101","DOI":"10.3389\/fimmu.2022.967101","article-title":"Investigating the influence of breastfeeding on asthma in children under 12 years old in the UK 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