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Bioinformatics. 2017 Oct 15;33(20):3276-3282. doi: 10.1093/bioinformatics/btx340.

HEROD: a human ethnic and regional specific omics database.

Bioinformatics (Oxford, England)

Xian Zeng, Lin Tao, Peng Zhang, Chu Qin, Shangying Chen, Weidong He, Ying Tan, Hong Xia Liu, Sheng Yong Yang, Zhe Chen, Yu Yang Jiang, Yu Zong Chen

Affiliations

  1. 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.
  2. Bioinformatics and Drug Design Group, Department of Pharmacy, National University of Singapore, Singapore 117543.
  3. School of Medicine, Hangzhou Normal University, Hangzhou 311121, P. R. China.
  4. State Key Laboratory of Biotherapy, Molecular Medicine Research Center, West China Hospital, West China School of Medicine, Sichuan University, Chengdu 610041, China.
  5. Zhejiang Key Laboratory of Gastro-Intestinal Pathophysiology, Zhejiang Hospital of Traditional Chinese Medicine, Zhejiang Chinese Medical University, Hangzhou 310006, China.

PMID: 28549078 DOI: 10.1093/bioinformatics/btx340

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: [email protected].

© The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email: [email protected]

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