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CMDB: the comprehensive population genome variation database of China
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 v...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825573/ https://www.ncbi.nlm.nih.gov/pubmed/35871305 http://dx.doi.org/10.1093/nar/gkac638 |
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author | Li, Zhichao Jiang, Xiaosen Fang, Mingyan Bai, Yong Liu, Siyang Huang, Shujia Jin, Xin |
author_facet | Li, Zhichao Jiang, Xiaosen Fang, Mingyan Bai, Yong Liu, Siyang Huang, Shujia Jin, Xin |
author_sort | Li, Zhichao |
collection | PubMed |
description | 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×–0.1×) 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/. |
format | Online Article Text |
id | pubmed-9825573 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98255732023-01-10 CMDB: the comprehensive population genome variation database of China Li, Zhichao Jiang, Xiaosen Fang, Mingyan Bai, Yong Liu, Siyang Huang, Shujia Jin, Xin Nucleic Acids Res Database Issue 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×–0.1×) 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/. Oxford University Press 2022-07-25 /pmc/articles/PMC9825573/ /pubmed/35871305 http://dx.doi.org/10.1093/nar/gkac638 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Li, Zhichao Jiang, Xiaosen Fang, Mingyan Bai, Yong Liu, Siyang Huang, Shujia Jin, Xin CMDB: the comprehensive population genome variation database of China |
title | CMDB: the comprehensive population genome variation database of China |
title_full | CMDB: the comprehensive population genome variation database of China |
title_fullStr | CMDB: the comprehensive population genome variation database of China |
title_full_unstemmed | CMDB: the comprehensive population genome variation database of China |
title_short | CMDB: the comprehensive population genome variation database of China |
title_sort | cmdb: the comprehensive population genome variation database of china |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825573/ https://www.ncbi.nlm.nih.gov/pubmed/35871305 http://dx.doi.org/10.1093/nar/gkac638 |
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