Version 1
: Received: 16 February 2023 / Approved: 17 February 2023 / Online: 17 February 2023 (07:59:08 CET)
How to cite:
Khan, S.; Alam, M.; Khan, S.; Khan, W.; Rabbi, I.; Qasim, I. National and Ethnic Mutation Frequency Databases: Cross Comparison and Future Direction. Preprints2023, 2023020305. https://doi.org/10.20944/preprints202302.0305.v1
Khan, S.; Alam, M.; Khan, S.; Khan, W.; Rabbi, I.; Qasim, I. National and Ethnic Mutation Frequency Databases: Cross Comparison and Future Direction. Preprints 2023, 2023020305. https://doi.org/10.20944/preprints202302.0305.v1
Khan, S.; Alam, M.; Khan, S.; Khan, W.; Rabbi, I.; Qasim, I. National and Ethnic Mutation Frequency Databases: Cross Comparison and Future Direction. Preprints2023, 2023020305. https://doi.org/10.20944/preprints202302.0305.v1
APA Style
Khan, S., Alam, M., Khan, S., Khan, W., Rabbi, I., & Qasim, I. (2023). National and Ethnic Mutation Frequency Databases: Cross Comparison and Future Direction. Preprints. https://doi.org/10.20944/preprints202302.0305.v1
Chicago/Turabian Style
Khan, S., Ihsan Rabbi and Iqbal Qasim. 2023 "National and Ethnic Mutation Frequency Databases: Cross Comparison and Future Direction" Preprints. https://doi.org/10.20944/preprints202302.0305.v1
Abstract
The mutation databases have vital importance in detecting genetic mutation and their corresponding phenotypes. The emergence of next generation sequencing genetic technologies has accelerated this process, and the growth of genetic disease identification has created a need for quality control and documentation of mutation-related information. Ethnic-specific mutation databases offer valuable information for researchers, and the article evaluates the homogeneity and effectiveness of these databases. The aim to raise awareness of NEMDBs to healthcare professionals, the general public, and researchers studying genetic disorders. The article also recommendations to improve the effectiveness of these databases.
Keywords
genetic databases; mutation disorders; ethnic specific databases
Subject
Computer Science and Mathematics, Information Systems
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
