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Review on Databases and Bioinformatic Approaches on Pharmacogenomics of Adverse Drug Reactions
Author(s) -
Hang Tong,
Nga V T Phan,
Thanh Thanh L. Nguyen,
Dinh Van Nguyen,
Nam S. Vo,
Ly Le
Publication year - 2021
Publication title -
pharmacogenomics and personalized medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.845
H-Index - 28
ISSN - 1178-7066
DOI - 10.2147/pgpm.s290781
Subject(s) - pharmacogenomics , medicine , drug reaction , drug , adverse drug reaction , pharmacology , bioinformatics , computational biology , intensive care medicine , database , biology , computer science
Pharmacogenomics has been used effectively in studying adverse drug reactions by determining the person-specific genetic factors associated with individual response to a drug. Current approaches have revealed the significant importance of sequencing technologies and sequence analysis strategies for interpreting the contribution of genetic variation in developing adverse reactions. Advance in next generation sequencing and platform brings new opportunities in validating the genetic candidates in certain reactions, and could be used to develop the preemptive tests to predict the outcome of the variation in a personal response to a drug. With the highly accumulated available data recently, the in silico approach with data analysis and modeling plays as other important alternatives which significantly support the final decisions in the transformation from research to clinical applications such as diagnosis and treatments for various types of adverse responses.

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