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Gene & Protein in Disease Bangladesh genetic disease database

Table 2. Asian countries and regions having individual genetic disease database.
Country/Region Name of the database Link Reference
Bahrain National Genome Center (Bio-Bank) https://www.moh.gov.bh/ [124]
China China National GeneBank https://ngdc.cncb.ac.cn/databases [125]
Dubai Dubai Genomics https://www.dha.gov.ae/en [126]
India Indian Genetic Disease Database (IGDD) http://www.igdd.iicb.res.in/ [2]
Indonesia Genomic Medicine Research Group Database (GMRGDB) Not available [127]
Iran Iranian Human Mutation Gene Bank www.IHMGB.com [128]
Israel Israeli National and Ethnic Mutation Database http://server.goldenhelix.org/israeli [129]
Japan Medical Genomics Japan Variant Database (MGeND) https://mgend.med.kyoto-u.ac.jp/ [130]
Korea Korean Mutation Database http://kmd.cdc.go.kr [131]
Malaysia Malaysian Node of the Human Variome Project database http://hvpmalaysia.kk.usm.my/ [132]
(MyHVPDb)
Pakistan Pakistan Genetic Mutation Database http://pakmutation.kust.edu.pk/ [133]
Qatar Qatar Biobank https://www.qatargenome.org.qa/ [134]
Singapore The Singapore Human Mutation http://shmpd.bii.a-star.edu.sg/ [135]
and Polymorphism Database
Sri Lanka Sri Lankan Genome Variation Database http://www.hgucolombo.org/ [136]
Taiwan Taiwan Biobank https://www.twbiobank.org.tw/new_web_en/ [137]
Thailand Thailand mutation and variation database (ThaiMUT) http://gi.biotec.or.th/thaimut [138]
Turkey Turkish Human Mutation Database http://hmut-tr.sourceforge.net/ [139]
Vietnam Vietnamese Genome Research Project https://www.vinmec.com/en/tin-tuc/hoat- [140]
dong-benh-vien/vinmec-announced-its-largest-
vietnamese-genome-research-project/

5. Roadmap to generate a genetic disease adequate treatment and preventive measures to reduce
database for Bangladesh the chance of disease development. Certain strategies
must be considered when making the genetic disease
Data from authentic sources are a prerequisite for database compatible for captive utilization. The entire
establishing a genetic disease database because the procedure of constructing the database can be divided
database should consist of details regarding specific into two broad categories: Data collection and data
genetic mutations, associated protein function curation. The overall plan is shown in Figure 1.
alteration, and mutational statistics of different
regions. To collect the data, databases such as 5.1. Data collection
PubMed, NCBI, OMIM, GeneCard, KEGG, and The primary data can be obtained from peer-reviewed
UniProt will be utilized. Details regarding specific published articles in various sources, including PubMed
genetic diseases that are scientifically accepted and and Google Scholar. Signs and symptoms can be added
observed can be obtained from PubMed and NCBI, to the database for use by physicians, researchers, and
whereas OMIM, GeneCard, KEGG, and UniProt give patients. Taking consent from the correspondence before
a clear dimension of human genes and associated incorporating the data is necessary to determine the
genetic diseases depending on different traits, protein accuracy of data and eliminate any further inconvenience.
sequences, and functions, along with the correlation In addition, the user submission option should always
between genomic difference and phenotypic be kept open to include all new mutations, signs and
expression. Detailed information from all these symptoms, diagnoses, and treatment procedures and to
authentic databases can display an approximate result update the database with helpful information about genetic
for every individual when the person has a certain diseases in Bangladesh. Other sources can be linked,
genetic mutation. Obtaining mutational analysis including NCBI, OMIM, KEGG, and PDB, to expand
results beforehand will be beneficial in terms of taking the pieces of information in the database. Geographical

Volume 1 Issue 1 (2022) 11 https://doi.org/10.36922/gpd.v1i1.78