Literature DB >> 18690891

SNP technologies for drug discovery: a current review.

Joanne Voisey1, Charles Phillip Morris.   

Abstract

Single nucleotide polymorphisms (SNPs) are unique genetic differences between individuals that contribute in significant ways to the determination of human variation including physical characteristics like height and appearance as well as less obvious traits such as personality, behaviour and disease susceptibility. SNPs can also significantly influence responses to pharmacotherapy and whether drugs will produce adverse reactions. The development of new drugs can be made far cheaper and more rapid by selecting participants in drug trials based on their genetically determined response to drugs. Technology that can rapidly and inexpensively genotype thousands of samples for thousands of SNPs at a time is therefore in high demand. With the completion of the human genome project, about 12 million true SNPs have been identified to date. However, most have not yet been associated with disease susceptibility or drug response. Testing for the appropriate drug response SNPs in a patient requiring treatment would enable individualised therapy with the right drug and dose administered correctly the first time. Many pharmaceutical companies are also interested in identifying SNPs associated with polygenic traits so novel therapeutic targets can be discovered. This review focuses on technologies that can be used for genotyping known SNPs as well as for the discovery of novel SNPs associated with drug response.

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Year:  2008        PMID: 18690891     DOI: 10.2174/157016308785739811

Source DB:  PubMed          Journal:  Curr Drug Discov Technol        ISSN: 1570-1638


  8 in total

Review 1.  New technologies for delineating and characterizing the lipid exome: prospects for understanding familial combined hyperlipidemia.

Authors:  Stuart D Horswell; Helen E Ringham; Carol C Shoulders
Journal:  J Lipid Res       Date:  2008-11-20       Impact factor: 5.922

2.  DBDiaSNP: An Open-Source Knowledgebase of Genetic Polymorphisms and Resistance Genes Related to Diarrheal Pathogens.

Authors:  Kusum Mehla; Jayashree Ramana
Journal:  OMICS       Date:  2015-05-15

Review 3.  Advances in the molecular detection of ABC transporters involved in multidrug resistance in cancer.

Authors:  Jean-Pierre Gillet; Michael M Gottesman
Journal:  Curr Pharm Biotechnol       Date:  2011-04       Impact factor: 2.837

4.  Improved candidate drug mining for Alzheimer's disease.

Authors:  Yu-Huei Cheng; Li-Yeh Chuang; Hsueh-Wei Chang; Cheng-Hong Yang
Journal:  Biomed Res Int       Date:  2014-02-27       Impact factor: 3.411

Review 5.  Next generation sequencing: potential and application in drug discovery.

Authors:  Navneet Kumar Yadav; Pooja Shukla; Ankur Omer; Shruti Pareek; A K Srivastava; F W Bansode; R K Singh
Journal:  ScientificWorldJournal       Date:  2014-02-05

6.  Single Nucleotide Polymorphism of Genes Associated with Metabolic Fatty Liver Disease.

Authors:  Tong Mu; Linrui Peng; Xinglei Xie; He He; Qing Shao; Xiran Wang; Yuwei Zhang
Journal:  J Oncol       Date:  2022-02-03       Impact factor: 4.375

Review 7.  Techniques for the Detection of Sickle Cell Disease: A Review.

Authors:  Wjdan A Arishi; Hani A Alhadrami; Mohammed Zourob
Journal:  Micromachines (Basel)       Date:  2021-05-05       Impact factor: 2.891

8.  Screening study for genetic polymorphisms affecting pharmacokinetics of talniflumate.

Authors:  Li Hua Jin; Bo-Hyung Kim; Ji Hyun Lee; Kidong Lee; KyuBum Kwack; Sung-Vin Yim
Journal:  Transl Clin Pharmacol       Date:  2017-12-20
  8 in total

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