{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T05:44:43Z","timestamp":1792043083094,"version":"4.4.0"},"reference-count":57,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T00:00:00Z","timestamp":1789516800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T00:00:00Z","timestamp":1789516800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82373659"],"award-info":[{"award-number":["82373659"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2023YFC270590"],"award-info":[{"award-number":["2023YFC270590"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["MedComm"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    DNA methylation regulates gene expression, yet its role in the genetic regulation of blood pressure (BP) remains unclear. Using 1056 Chinese National Twin Registry participants (528 twin pairs), we estimated genome\u2010wide DNA methylation heritability and genetic correlations between DNA methylation and BP using structural equation models. Genetically correlated CpGs were then tested using linear mixed\u2010effects models in the full sample and in monozygotic twin pairs. Mendelian randomization (MR) was applied using East Asian methylation quantitative trait locus (mQTL) and genome\u2010wide association study (GWAS) data, followed by integration of\n                    <jats:italic>cis<\/jats:italic>\n                    \u2010expression QTL and\n                    <jats:italic>cis<\/jats:italic>\n                    \u2010protein QTL data and MR\u2010based mediation analysis to examine whether upstream genes and proteins influence BP through DNA methylation. Genome\u2010wide DNA methylation heritability averaged 18.3%, with modest genetic correlations between DNA methylation and BP (mean |\n                    <jats:italic>r<\/jats:italic>\n                    <jats:sub>A<\/jats:sub>\n                    |\u00a0=\u00a00.08\u20130.09). Association analyses identified 914 and 624 CpGs for systolic and diastolic BP, respectively, with substantial attenuation in monozygotic within\u2010pair analyses, suggesting predominant genetic influences. Bidirectional relationships were identified between six CpGs and BP. MR\u2010based mediation estimates suggested that methylation at specific sites may mediate 34%\u201393% of upstream gene\/protein effects on BP, implicating\n                    <jats:italic>HBEGF<\/jats:italic>\n                    ,\n                    <jats:italic>CARD9<\/jats:italic>\n                    ,\n                    <jats:italic>XCL1<\/jats:italic>\n                    , and\n                    <jats:italic>PCOLCE<\/jats:italic>\n                    . These findings highlight DNA methylation as a potentially important regulatory layer in genetically influenced BP pathways.\n                  <\/jats:p>","DOI":"10.1002\/mco2.71004","type":"journal-article","created":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T06:56:37Z","timestamp":1789628197000},"source":"Crossref","is-referenced-by-count":0,"title":["Genetic Regulation of DNA Methylation and Its Mediating Role in Blood Pressure: A Genome\u2010Wide Twin Study"],"prefix":"10.1002","volume":"7","author":[{"given":"Xuanming","family":"Hong","sequence":"first","affiliation":[{"name":"Department of Epidemiology and Biostatistics School of Public Health Peking University  Beijing China"},{"name":"Key Laboratory of Epidemiology of Major Diseases Ministry of Education Peking University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics School 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Major Diseases Ministry of Education Peking University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunxiao","family":"Liao","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics School of Public Health Peking University  Beijing China"},{"name":"Key Laboratory of Epidemiology of Major Diseases Ministry of Education Peking University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanjie","family":"Pang","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics School of Public Health Peking University  Beijing China"},{"name":"Key Laboratory of Epidemiology of Major Diseases Ministry of Education Peking University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Runhua","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics School of Public Health Peking 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