{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T03:18:59Z","timestamp":1787887139072,"version":"build-2784847793"},"reference-count":11,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T00:00:00Z","timestamp":1787875200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T00:00:00Z","timestamp":1787875200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/100000050","name":"U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["R01HL159182"],"award-info":[{"award-number":["R01HL159182"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["R01HL159182"],"award-info":[{"award-number":["R01HL159182"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["R01HL159182"],"award-info":[{"award-number":["R01HL159182"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["R01HL159182"],"award-info":[{"award-number":["R01HL159182"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Hum Genet"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Estimates of SNP-based heritability for atherosclerotic cardiovascular disease (ASCVD) vary widely across populations, complicating interpretation of genetic architecture. We compared SNP-based heritability and cross-cohort genetic correlation for ASCVD and its nested subphenotypes, coronary events (CE) and myocardial infarction (MI), across Geisinger\u2019s MyCode, the UK Biobank, and the NIH\u2019s All of Us using GWAS summary statistics and LD score regression. Heritability estimates differed significantly across cohorts, with consistently higher values in the UK Biobank and higher heritability for more narrowly defined phenotypes (MI) relative to broader ASCVD definitions. In contrast, genetic correlations between cohorts were uniformly high for all phenotypes, with confidence intervals spanning 1.0. These results suggest substantial sharing of common variant genetic effects across biobanks and indicate that cross-cohort differences in SNP-based heritability may primarily reflect differences in ASCVD ascertainment and phenotype capture rather than underlying genetic architecture.<\/jats:p>","DOI":"10.1038\/s10038-026-01508-4","type":"journal-article","created":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T03:11:58Z","timestamp":1787886718000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Cross-biobank comparison of ASCVD heritability and genetic correlation"],"prefix":"10.1038","author":[{"given":"Hari B.","family":"Acharya","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samuel S.","family":"Gidding","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew T.","family":"Oetjens","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0353-5521","authenticated-orcid":false,"given":"Alexander S. F.","family":"Berry","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,8,28]]},"reference":[{"key":"1508_CR1","doi-asserted-by":"publisher","first-page":"564","DOI":"10.1161\/CIRCRESAHA.115.306566","volume":"118","author":"R McPherson","year":"2016","unstructured":"McPherson R, Tybjaerg-Hansen A. Genetics of coronary artery disease. Circ Res. 2016;118:564\u201378.","journal-title":"Circ Res"},{"key":"1508_CR2","doi-asserted-by":"publisher","first-page":"576","DOI":"10.1056\/NEJMra2405153","volume":"394","author":"H Schunkert","year":"2026","unstructured":"Schunkert H, Natarajan P, Samani NJ. The inherited basis of coronary artery disease. N Engl J Med. 2026;394:576\u201387.","journal-title":"N Engl J Med"},{"key":"1508_CR3","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1038\/s41576-024-00794-y","volume":"26","author":"CS Gallagher","year":"2025","unstructured":"Gallagher CS, Ginsburg GS, Musick A. Biobanking with genetics shapes precision medicine and global health. Nat Rev Genet. 2025;26:191\u2013202.","journal-title":"Nat Rev Genet"},{"key":"1508_CR4","doi-asserted-by":"publisher","first-page":"906","DOI":"10.1038\/gim.2015.187","volume":"18","author":"DJ Carey","year":"2016","unstructured":"Carey DJ, Fetterolf SN, Davis FD, Faucett WA, Kirchner HL, Mirshahi U, et al. The Geisinger MyCode community health initiative: an electronic health record-linked biobank for precision medicine research. Genet Med. 2016;18:906\u201313.","journal-title":"Genet Med"},{"key":"1508_CR5","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1038\/s41586-018-0579-z","volume":"562","author":"C Bycroft","year":"2018","unstructured":"Bycroft C, Freeman C, Petkova D, Band G, Elliott LT, Sharp K, et al. The UK Biobank resource with deep phenotyping and genomic data. Nature. 2018;562:203\u20139.","journal-title":"Nature"},{"key":"1508_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.patter.2022.100570","volume":"3","author":"AH Ramirez","year":"2022","unstructured":"Ramirez AH, Sulieman L, Schlueter DJ, Halvorson A, Qian J, Ratsimbazafy F, et al. All of Us research program. the all of us research program: data quality, utility, and diversity. Patterns. 2022;3:100570.","journal-title":"Patterns"},{"key":"1508_CR7","doi-asserted-by":"publisher","first-page":"1097","DOI":"10.1038\/s41588-021-00870-7","volume":"53","author":"J Mbatchou","year":"2021","unstructured":"Mbatchou J, Barnard L, Backman J, Marcketta A, Kosmicki JA, Ziyatdinov A, et al. Computationally efficient whole-genome regression for quantitative and binary traits. Nat Genet. 2021;53:1097\u2013103.","journal-title":"Nat Genet"},{"key":"1508_CR8","doi-asserted-by":"crossref","unstructured":"Bulik-Sullivan BK, Loh P-R, Finucane HK, Ripke S, Yang J, et al. Schizophrenia Working Group of the Psychiatric Genomics Consortium LD score regression distinguishes confounding from polygenicity in genome-wide association studies. Nat Genet. 2015;47:291\u20135.","DOI":"10.1038\/ng.3211"},{"key":"1508_CR9","doi-asserted-by":"publisher","first-page":"e0336967","DOI":"10.1371\/journal.pone.0336967","volume":"21","author":"Y Yang","year":"2026","unstructured":"Yang Y, Rodriguez K, Ezcurra J, Bogaerts R, Corrada-Emmanuel A, Berman L, et al. Investigation into EHR data coverage in the All of Us Research Program via linkage to health insurance claims. PLoS One. 2026;21:e0336967.","journal-title":"PLoS One"},{"key":"1508_CR10","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-020-3387-z","volume":"21","author":"A Shafquat","year":"2020","unstructured":"Shafquat A, Crystal RG, Mezey JG. Identifying novel associations in GWAS by hierarchical Bayesian latent variable detection of differentially misclassified phenotypes. BMC Bioinforma. 2020;21:178.","journal-title":"BMC Bioinforma"},{"key":"1508_CR11","doi-asserted-by":"publisher","unstructured":"Burstein D, Hoffman G, Mathur D, Venkatesh S, Therrien K, Fanous AH, et al. Detecting and adjusting for hidden biases due to phenotype misclassification in genome-wide association studies. Preprint at https:\/\/doi.org\/10.1101\/2023.01.17.23284670 2023.","DOI":"10.1101\/2023.01.17.23284670"}],"container-title":["Journal of Human Genetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s10038-026-01508-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s10038-026-01508-4","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s10038-026-01508-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T03:12:01Z","timestamp":1787886721000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s10038-026-01508-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,28]]},"references-count":11,"alternative-id":["1508"],"URL":"https:\/\/doi.org\/10.1038\/s10038-026-01508-4","relation":{},"ISSN":["1434-5161","1435-232X"],"issn-type":[{"value":"1434-5161","type":"print"},{"value":"1435-232X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,28]]},"assertion":[{"value":"9 April 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 August 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 August 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 August 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Gidding is a consultant for Esperion Therapeutics, Merck, and Medpace. All other authors have no relevant conflicts of interest to declare.","order":1,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Ethics"}}]}}