Literature DB >> 28470340

Comprehensive strategy for the design of precision drugs and identification of genetic signature behind proneness of the disease-a pharmacogenomic approach.

Preethi M Iyer1, S Karthikeyan2, P Sanjay Kumar2, P K Krishnan Namboori3.   

Abstract

The proneness of diseases and susceptibility towards drugs vary from person to person. At present, there is a strong demand for the personalization of drugs. The genetic signature behind proneness of the disease has been studied through a comprehensive 'octopodial approach'. All the genetic variants included in the approach have been introduced. The breast cancer associated with BRCA1 mutation has been taken as the illustrative example to introduce all these factors. The genetic variants associated with the drug action of tamoxifen have been fully illustrated in the manuscript. The design of a new personalized anti-breast cancer drug has been explained in the third phase. For the design of new personalized drugs, a metabolite of anti-cancer drug chlorambucil has been taken as the template. The design of drug has been made with respect to the protein 1T15 of BRCA1 gene corresponding to the genetic signature of rs28897696.

Entities:  

Keywords:  BRCA1; Drug effectiveness; Drug resistance; Drug response; Epigenetics; Metagenomics; Octopodial; Personalized medicine; Pharmacogenomics; SNP

Mesh:

Substances:

Year:  2017        PMID: 28470340     DOI: 10.1007/s10142-017-0559-7

Source DB:  PubMed          Journal:  Funct Integr Genomics        ISSN: 1438-793X            Impact factor:   3.410


  27 in total

Review 1.  Epigenetics and environment: a complex relationship.

Authors:  Oscar Aguilera; Agustín F Fernández; Alberto Muñoz; Mario F Fraga
Journal:  J Appl Physiol (1985)       Date:  2010-04-08

2.  LS-SNP/PDB: annotated non-synonymous SNPs mapped to Protein Data Bank structures.

Authors:  Michael Ryan; Mark Diekhans; Stephanie Lien; Yun Liu; Rachel Karchin
Journal:  Bioinformatics       Date:  2009-04-15       Impact factor: 6.937

3.  Genetic polymorphisms in the metabolic pathway and non-Hodgkin lymphoma survival.

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Journal:  Am J Hematol       Date:  2010-01       Impact factor: 10.047

4.  Microbiota of human breast tissue.

Authors:  Camilla Urbaniak; Joanne Cummins; Muriel Brackstone; Jean M Macklaim; Gregory B Gloor; Chwanrow K Baban; Leslie Scott; Deidre M O'Hanlon; Jeremy P Burton; Kevin P Francis; Mark Tangney; Gregor Reid
Journal:  Appl Environ Microbiol       Date:  2014-03-07       Impact factor: 4.792

5.  Breast cancer risk in relation to alcohol consumption and BRCA gene mutations--a case-only study of gene-environment interaction.

Authors:  Jessica Dennis; Daniel Krewski; Frédérique-Sophie Côté; Eve Fafard; Julian Little; Parviz Ghadirian
Journal:  Breast J       Date:  2011-07-15       Impact factor: 2.431

Review 6.  Estrogens, BRCA1, and breast cancer.

Authors:  L Hilakivi-Clarke
Journal:  Cancer Res       Date:  2000-09-15       Impact factor: 12.701

Review 7.  The Human Gene Mutation Database: building a comprehensive mutation repository for clinical and molecular genetics, diagnostic testing and personalized genomic medicine.

Authors:  Peter D Stenson; Matthew Mort; Edward V Ball; Katy Shaw; Andrew Phillips; David N Cooper
Journal:  Hum Genet       Date:  2014-01       Impact factor: 4.132

8.  The Comparative Toxicogenomics Database's 10th year anniversary: update 2015.

Authors:  Allan Peter Davis; Cynthia J Grondin; Kelley Lennon-Hopkins; Cynthia Saraceni-Richards; Daniela Sciaky; Benjamin L King; Thomas C Wiegers; Carolyn J Mattingly
Journal:  Nucleic Acids Res       Date:  2014-10-17       Impact factor: 16.971

9.  CpG island mapping by epigenome prediction.

Authors:  Christoph Bock; Jörn Walter; Martina Paulsen; Thomas Lengauer
Journal:  PLoS Comput Biol       Date:  2007-05-02       Impact factor: 4.475

10.  GWAS Central: a comprehensive resource for the comparison and interrogation of genome-wide association studies.

Authors:  Tim Beck; Robert K Hastings; Sirisha Gollapudi; Robert C Free; Anthony J Brookes
Journal:  Eur J Hum Genet       Date:  2013-12-04       Impact factor: 4.246

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