Literature DB >> 31665422

RETRACTED: CGVD: a genomic variation database for Chinese populations.

Jingyao Zeng1,2,3, Na Yuan1,2,3, Junwei Zhu1,2,3, Mengyu Pan1,2,3,4, Hao Zhang1,2,3,4, Qi Wang1,2,3,4, Shuo Shi1,2,3,4, Zhenglin Du1,2,3, Jingfa Xiao1,2,3,4.   

Abstract

Precision medicine calls upon deeper coverage of population-based sequencing and thorough gene-content and phenotype-based analysis, which lead to a population-associated genomic variation map or database. The Chinese Genomic Variation Database (CGVD; https://bigd.big.ac.cn/cgvd/) is such a database that has combined 48.30 million (M) SNVs and 5.77 M small indels, identified from 991 Chinese individuals of the Chinese Academy of Sciences Precision Medicine Initiative Project (CASPMI) and 301 Chinese individuals of the 1000 Genomes Project (1KGP). The CASPMI project includes whole-genome sequencing data (WGS, 25-30×) from ∼1000 healthy individuals of the CASPMI cohort. To facilitate the usage of such variations for pharmacogenomics studies, star-allele frequencies of the drug-related genes in the CASPMI and 1KGP populations are calculated and provided in CGVD. As one of the important database resources in BIG Data Center, CGVD will continue to collect more genomic variations and to curate structural and functional annotations to support population-based healthcare projects and studies in China and worldwide.
© The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.

Year:  2020        PMID: 31665422      PMCID: PMC7145633          DOI: 10.1093/nar/gkz952

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


The authors of the above-cited article request its retraction. The authors have not received approval from the relevant authorities to use Chinese genomic data and therefore have to suspend the CGVD database.
  1 in total

1.  Perspectives and ethical considerations for return of genetics and genomics research results: a qualitative study of genomics researchers in Uganda.

Authors:  Joseph Ochieng; Betty Kwagala; John Barugahare; Erisa Mwaka; Deborah Ekusai-Sebatta; Joseph Ali; Nelson K Sewankambo
Journal:  BMC Med Ethics       Date:  2021-11-19       Impact factor: 2.652

  1 in total

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