Literature DB >> 16429432

Singapore Human Mutation/Polymorphism Database: a country-specific database for mutations and polymorphisms in inherited disorders and candidate gene association studies.

Ene-choo Tan1, Marie Loh, Danny Chuon, Yun Ping Lim.   

Abstract

There is a need for country/population-specific databases because the existence of population-specific mutations for single gene disorders is well documented, and there is also good evidence for ethnic differences in the frequencies of genetic variations involved in complex disorders. Thus the Singapore Human Mutation/Polymorphism Database (SHMPD) was created to provide clinicians and scientists access to a central genetic database for the Singapore population. The data catalogued in the database include mutations identified in Singapore for Mendelian diseases, and frequencies of polymorphisms that have been investigated in either healthy controls or samples associated with specific phenotypes. Data from journal articles identified by searches in PubMed and other online resources, and via personal communications with researchers were compiled and assembled into a single database. Genes are categorized alphabetically and are also searchable by name and disease. The information provided for each variant of the gene includes the protein encoded, phenotype association, gender, size, and ethnic origin of the sample, as well as the reported genotype and allele frequencies, and direct links to the corresponding abstracts on PubMed. Our database will facilitate molecular diagnosis of Mendelian disorders and improve study designs for complex traits. It will be useful not only for researchers in Singapore, but also for those in countries with similar ethnic backgrounds, such as China, Taiwan, Hong Kong, Indonesia, and Malaysia. 2006 Wiley-Liss, Inc.

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Year:  2006        PMID: 16429432     DOI: 10.1002/humu.20291

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  6 in total

1.  National and ethnic human mutation database: A need of the day.

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2.  Description and analysis of genetic variants in French hereditary breast and ovarian cancer families recorded in the UMD-BRCA1/BRCA2 databases.

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3.  The first Malay database toward the ethnic-specific target molecular variation.

Authors:  Hashim Halim-Fikri; Ali Etemad; Ahmad Zubaidi Abdul Latif; Amir Feisal Merican; Atif Amin Baig; Azlina Ahmad Annuar; Endom Ismail; Iman Salahshourifar; Ahmad Tajudin Liza-Sharmini; Marini Ramli; Mohamed Irwan Shah; Muhammad Farid Johan; Nik Norliza Nik Hassan; Noraishah Mydin Abdul-Aziz; Noor Haslina Mohd Noor; Ab Rajab Nur-Shafawati; Rosline Hassan; Rosnah Bahar; Rosnah Binti Zain; Shafini Mohamed Yusoff; Surini Yusoff; Soon Guan Tan; Meow-Keong Thong; Hatin Wan-Isa; Wan Zaidah Abdullah; Zahurin Mohamed; Zarina Abdul Latiff; Bin Alwi Zilfalil
Journal:  BMC Res Notes       Date:  2015-04-30

Review 4.  Systematics for types and effects of DNA variations.

Authors:  Mauno Vihinen
Journal:  BMC Genomics       Date:  2018-12-28       Impact factor: 3.969

Review 5.  Germline Missense Variants in BRCA1: New Trends and Challenges for Clinical Annotation.

Authors:  Volha A Golubeva; Thales C Nepomuceno; Alvaro N A Monteiro
Journal:  Cancers (Basel)       Date:  2019-04-12       Impact factor: 6.639

6.  Web-based database and viewer of East asian copy number variations.

Authors:  Ji-Hong Kim; Hae-Jin Hu; Yeun-Jun Chung
Journal:  Genomics Inform       Date:  2012-03-31
  6 in total

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