{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T21:18:34Z","timestamp":1768684714867,"version":"3.49.0"},"reference-count":45,"publisher":"Oxford University Press (OUP)","issue":"D1","license":[{"start":{"date-parts":[[2022,7,24]],"date-time":"2022-07-24T00:00:00Z","timestamp":1658620800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["32000398"],"award-info":[{"award-number":["32000398"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["31900487"],"award-info":[{"award-number":["31900487"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2017A030306026"],"award-info":[{"award-number":["2017A030306026"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangdong-Hong Kong Joint Laboratory on Immunological and Genetic Kidney Diseases","award":["2019B121205005"],"award-info":[{"award-number":["2019B121205005"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,1,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>A high-quality genome variation database derived from a large-scale population is one of the most important infrastructures for genomics, clinical and translational medicine research. Here, we developed the Chinese Millionome Database (CMDB), a database that contains 9.04 million single nucleotide variants (SNV) with allele frequency information derived from low-coverage (0.06\u00d7\u20130.1\u00d7) whole-genome sequencing (WGS) data of 141 431 unrelated healthy Chinese individuals. These individuals were recruited from 31 out of the 34 administrative divisions in China, covering Han and 36 other ethnic minorities. CMDB, housing the WGS data of a multi-ethnic Chinese population featuring wide geographical distribution, has become the most representative and comprehensive Chinese population genome database to date. Researchers can quickly search for variant, gene or genomic regions to obtain the variant information, including mutation basic information, allele frequency, genic annotation and overview of frequencies in global populations. Furthermore, the CMDB also provides information on the association of the variants with a range of phenotypes, including height, BMI, maternal age and twin pregnancy. Based on these data, researchers can conduct meta-analysis of related phenotypes. CMDB is freely available at https:\/\/db.cngb.org\/cmdb\/.<\/jats:p>","DOI":"10.1093\/nar\/gkac638","type":"journal-article","created":{"date-parts":[[2022,7,24]],"date-time":"2022-07-24T09:29:07Z","timestamp":1658654947000},"page":"D890-D895","source":"Crossref","is-referenced-by-count":15,"title":["CMDB: the comprehensive population genome variation database of China"],"prefix":"10.1093","volume":"51","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6725-8212","authenticated-orcid":false,"given":"Zhichao","family":"Li","sequence":"first","affiliation":[{"name":"College of Life Sciences, University of Chinese Academy of Sciences , Beijing 100049 , China"},{"name":"BGI-Shenzhen , Shenzhen 518083 , Guangdong , China"}]},{"given":"Xiaosen","family":"Jiang","sequence":"additional","affiliation":[{"name":"College of Life Sciences, University of Chinese Academy of Sciences , Beijing 100049 , China"},{"name":"BGI-Shenzhen , Shenzhen 518083 , Guangdong , China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7185-6445","authenticated-orcid":false,"given":"Mingyan","family":"Fang","sequence":"additional","affiliation":[{"name":"BGI-Shenzhen , Shenzhen 518083 , Guangdong , China"}]},{"given":"Yong","family":"Bai","sequence":"additional","affiliation":[{"name":"BGI-Shenzhen , Shenzhen 518083 , Guangdong , China"}]},{"given":"Siyang","family":"Liu","sequence":"additional","affiliation":[{"name":"BGI-Shenzhen , Shenzhen 518083 , Guangdong , China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2100-2534","authenticated-orcid":false,"given":"Shujia","family":"Huang","sequence":"additional","affiliation":[{"name":"BGI-Shenzhen , Shenzhen 518083 , Guangdong , China"}]},{"given":"Xin","family":"Jin","sequence":"additional","affiliation":[{"name":"BGI-Shenzhen , Shenzhen 518083 , Guangdong , China"},{"name":"School of Medicine, South China University of Technology , Guangzhou , Guangdong 510006 , China"}]}],"member":"286","published-online":{"date-parts":[[2022,7,25]]},"reference":[{"key":"2023010804290082300_B1","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.ajhg.2018.11.014","article-title":"Integrating genomics into healthcare: a global responsibility","volume":"104","author":"Stark","year":"2019","journal-title":"Am. 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