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HEROD: a human ethnic and regional specific omics database.
Zeng, Xian; Tao, Lin; Zhang, Peng; Qin, Chu; Chen, Shangying; He, Weidong; Tan, Ying; Xia Liu, Hong; Yang, Sheng Yong; Chen, Zhe; Jiang, Yu Yang; Chen, Yu Zong.
Afiliação
  • Zeng X; The State Key Laboratory Breeding Base-Shenzhen Key Laboratory of Chemical Biology, the Graduate School at Shenzhen, Tsinghua University, Shenzhen Kivita Innovative Drug Discovery Institute, Shenzhen 518055, P. R. China.
  • Tao L; Bioinformatics and Drug Design Group, Department of Pharmacy, National University of Singapore, Singapore 117543.
  • Zhang P; The State Key Laboratory Breeding Base-Shenzhen Key Laboratory of Chemical Biology, the Graduate School at Shenzhen, Tsinghua University, Shenzhen Kivita Innovative Drug Discovery Institute, Shenzhen 518055, P. R. China.
  • Qin C; School of Medicine, Hangzhou Normal University, Hangzhou 311121, P. R. China.
  • Chen S; Bioinformatics and Drug Design Group, Department of Pharmacy, National University of Singapore, Singapore 117543.
  • He W; Bioinformatics and Drug Design Group, Department of Pharmacy, National University of Singapore, Singapore 117543.
  • Tan Y; Bioinformatics and Drug Design Group, Department of Pharmacy, National University of Singapore, Singapore 117543.
  • Xia Liu H; Bioinformatics and Drug Design Group, Department of Pharmacy, National University of Singapore, Singapore 117543.
  • Yang SY; The State Key Laboratory Breeding Base-Shenzhen Key Laboratory of Chemical Biology, the Graduate School at Shenzhen, Tsinghua University, Shenzhen Kivita Innovative Drug Discovery Institute, Shenzhen 518055, P. R. China.
  • Chen Z; Bioinformatics and Drug Design Group, Department of Pharmacy, National University of Singapore, Singapore 117543.
  • Jiang YY; The State Key Laboratory Breeding Base-Shenzhen Key Laboratory of Chemical Biology, the Graduate School at Shenzhen, Tsinghua University, Shenzhen Kivita Innovative Drug Discovery Institute, Shenzhen 518055, P. R. China.
  • Chen YZ; State Key Laboratory of Biotherapy, Molecular Medicine Research Center, West China Hospital, West China School of Medicine, Sichuan University, Chengdu 610041, China.
Bioinformatics ; 33(20): 3276-3282, 2017 Oct 15.
Article em En | MEDLINE | ID: mdl-28549078
ABSTRACT
MOTIVATION Genetic and gene expression variations within and between populations and across geographical regions have substantial effects on the biological phenotypes, diseases, and therapeutic response. The development of precision medicines can be facilitated by the OMICS studies of the patients of specific ethnicity and geographic region. However, there is an inadequate facility for broadly and conveniently accessing the ethnic and regional specific OMICS data.

RESULTS:

Here, we introduced a new free database, HEROD, a human ethnic and regional specific OMICS database. Its first version contains the gene expression data of 53 070 patients of 169 diseases in seven ethnic populations from 193 cities/regions in 49 nations curated from the Gene Expression Omnibus (GEO), the ArrayExpress Archive of Functional Genomics Data (ArrayExpress), the Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC). Geographic region information of curated patients was mainly manually extracted from referenced publications of each original study. These data can be accessed and downloaded via keyword search, World map search, and menu-bar search of disease name, the international classification of disease code, geographical region, location of sample collection, ethnic population, gender, age, sample source organ, patient type (patient or healthy), sample type (disease or normal tissue) and assay type on the web interface. AVAILABILITY AND IMPLEMENTATION The HEROD database is freely accessible at http//bidd2.nus.edu.sg/herod/index.php. The database and web interface are implemented in MySQL, PHP and HTML with all major browsers supported. CONTACT phacyz@nus.edu.sg.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Variação Genética / Genoma Humano / Biologia Computacional / Bases de Dados Genéticas / Grupos Populacionais / Transcriptoma Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Variação Genética / Genoma Humano / Biologia Computacional / Bases de Dados Genéticas / Grupos Populacionais / Transcriptoma Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article