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KRGDB: the large-scale variant database of 1722 Koreans based on whole genome sequencing
Since 2012, the Center for Genome Science of the Korea National Institute of Health (KNIH) has been sequencing complete genomes of 1722 Korean individuals. As a result, more than 32 million variant sites have been identified, and a large proportion of the variant sites have been detected for the fir...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7056612/ https://www.ncbi.nlm.nih.gov/pubmed/32133509 http://dx.doi.org/10.1093/database/baz146 |
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author | Jung, Kwang Su Hong, Kyung-Won Jo, Hyun Youn Choi, Jongpill Ban, Hyo-Jeong Cho, Seong Beom Chung, Myungguen |
author_facet | Jung, Kwang Su Hong, Kyung-Won Jo, Hyun Youn Choi, Jongpill Ban, Hyo-Jeong Cho, Seong Beom Chung, Myungguen |
author_sort | Jung, Kwang Su |
collection | PubMed |
description | Since 2012, the Center for Genome Science of the Korea National Institute of Health (KNIH) has been sequencing complete genomes of 1722 Korean individuals. As a result, more than 32 million variant sites have been identified, and a large proportion of the variant sites have been detected for the first time. In this article, we describe the Korean Reference Genome Database (KRGDB) and its genome browser. The current version of our database contains both single nucleotide and short insertion/deletion variants. The DNA samples were obtained from four different origins and sequenced in different sequencing depths (10× coverage of 63 individuals, 20× coverage of 194 individuals, combined 10× and 20× coverage of 135 individuals, 30× coverage of 230 individuals and 30× coverage of 1100 individuals). The major features of the KRGDB are that it contains information on the Korean genomic variant frequency, frequency difference between the Korean and other populations and the variant functional annotation (such as regulatory elements in ENCODE regions and coding variant functions) of the variant sites. Additionally, we performed the genome-wide association study (GWAS) between Korean genome variant sites for the 30×230 individuals and three major common diseases (diabetes, hypertension and metabolic syndrome). The association results are displayed on our browser. The KRGDB uses the MySQL database and Apache-Tomcat web server adopted with Java Server Page (JSP) and is freely available at http://coda.nih.go.kr/coda/KRGDB/index.jsp. Availability: http://coda.nih.go.kr/coda/KRGDB/index.jsp |
format | Online Article Text |
id | pubmed-7056612 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-70566122020-03-09 KRGDB: the large-scale variant database of 1722 Koreans based on whole genome sequencing Jung, Kwang Su Hong, Kyung-Won Jo, Hyun Youn Choi, Jongpill Ban, Hyo-Jeong Cho, Seong Beom Chung, Myungguen Database (Oxford) Original Article Since 2012, the Center for Genome Science of the Korea National Institute of Health (KNIH) has been sequencing complete genomes of 1722 Korean individuals. As a result, more than 32 million variant sites have been identified, and a large proportion of the variant sites have been detected for the first time. In this article, we describe the Korean Reference Genome Database (KRGDB) and its genome browser. The current version of our database contains both single nucleotide and short insertion/deletion variants. The DNA samples were obtained from four different origins and sequenced in different sequencing depths (10× coverage of 63 individuals, 20× coverage of 194 individuals, combined 10× and 20× coverage of 135 individuals, 30× coverage of 230 individuals and 30× coverage of 1100 individuals). The major features of the KRGDB are that it contains information on the Korean genomic variant frequency, frequency difference between the Korean and other populations and the variant functional annotation (such as regulatory elements in ENCODE regions and coding variant functions) of the variant sites. Additionally, we performed the genome-wide association study (GWAS) between Korean genome variant sites for the 30×230 individuals and three major common diseases (diabetes, hypertension and metabolic syndrome). The association results are displayed on our browser. The KRGDB uses the MySQL database and Apache-Tomcat web server adopted with Java Server Page (JSP) and is freely available at http://coda.nih.go.kr/coda/KRGDB/index.jsp. Availability: http://coda.nih.go.kr/coda/KRGDB/index.jsp Oxford University Press 2020-03-04 /pmc/articles/PMC7056612/ /pubmed/32133509 http://dx.doi.org/10.1093/database/baz146 Text en © The Author(s) 2020. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Jung, Kwang Su Hong, Kyung-Won Jo, Hyun Youn Choi, Jongpill Ban, Hyo-Jeong Cho, Seong Beom Chung, Myungguen KRGDB: the large-scale variant database of 1722 Koreans based on whole genome sequencing |
title | KRGDB: the large-scale variant database of 1722 Koreans based on whole genome sequencing |
title_full | KRGDB: the large-scale variant database of 1722 Koreans based on whole genome sequencing |
title_fullStr | KRGDB: the large-scale variant database of 1722 Koreans based on whole genome sequencing |
title_full_unstemmed | KRGDB: the large-scale variant database of 1722 Koreans based on whole genome sequencing |
title_short | KRGDB: the large-scale variant database of 1722 Koreans based on whole genome sequencing |
title_sort | krgdb: the large-scale variant database of 1722 koreans based on whole genome sequencing |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7056612/ https://www.ncbi.nlm.nih.gov/pubmed/32133509 http://dx.doi.org/10.1093/database/baz146 |
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