Literature DB >> 25996670

Role of single nucleotide polymorphisms in pharmacogenomics and their association with human diseases.

Renu Chaudhary1, Bharat Singh1, Manish Kumar1, Surendra K Gakhar2, Adesh K Saini3, Virinder S Parmar4, Anil K Chhillar1.   

Abstract

Global statistical data shed light on an alarming trend that every year thousands of people die due to adverse drug reactions as each individual responds in a different way to the same drug. Pharmacogenomics has come up as a promising field in drug development and clinical medication in the past few decades. It has emerged as a ray of hope in preventing patients from developing potentially fatal complications due to adverse drug reactions. Pharmacogenomics also minimizes the exposure to drugs that are less/non-effective and sometimes even found toxic for patients. It is well reported that drugs elicit different responses in different individuals due to variations in the nucleotide sequences of genes encoding for biologically important molecules (drug-metabolizing enzymes, drug targets and drug transporters). Single nucleotide polymorphisms (SNPs), the most common type of polymorphism found in the human genome is believed to be the main reason behind 90% of all types of genetic variations among the individuals. Therefore, pharmacogenomics may be helpful in answering the question as to how inherited differences in a single gene have a profound effect on the mobilization and biological action of a drug. In the present review, we have discussed clinically relevant examples of SNP in associated diseases that can be utilized as markers for "better management of complex diseases" and attempted to correlate the drug response with genetic variations. Attention is also given towards the therapeutic consequences of inherited differences at the chromosomal level and how associated drug disposition and/or drug targets differ in various diseases as well as among the individuals.

Entities:  

Keywords:  Drug response; diseases; pharmacogenomics; single nucleotide polymorphisms

Mesh:

Substances:

Year:  2015        PMID: 25996670     DOI: 10.3109/03602532.2015.1047027

Source DB:  PubMed          Journal:  Drug Metab Rev        ISSN: 0360-2532            Impact factor:   4.518


  10 in total

1.  Non-coding Single Nucleotide Variants of Renin and the (Pro)renin Receptor are Associated with Polygenic Diseases in a Bangladeshi Population.

Authors:  Jobaida Akther; Ashish Das; Md Arifur Rahman; Sajoy Kanti Saha; Md Ismail Hosen; Akio Ebihara; Tsutomu Nakagawa; Fumiaki Suzuki; A H M Nurun Nabi
Journal:  Biochem Genet       Date:  2021-03-07       Impact factor: 1.890

2.  Unlocked nucleic acid modified primer-based enzymatic polymerization assay: towards allele-specific genotype detection of human platelet antigens.

Authors:  Bao T Le; Quintin Hughes; Shilpa Rakesh; Ross Baker; Per T Jørgensen; Jesper Wengel; Rakesh N Veedu
Journal:  RSC Adv       Date:  2018-09-21       Impact factor: 4.036

3.  AGBE: a dual deaminase-mediated base editor by fusing CGBE with ABE for creating a saturated mutant population with multiple editing patterns.

Authors:  Yanhui Liang; Jingke Xie; Quanjun Zhang; Xiaomin Wang; Shixue Gou; Lihui Lin; Tao Chen; Weikai Ge; Zhenpeng Zhuang; Meng Lian; Fangbing Chen; Nan Li; Zhen Ouyang; Chengdan Lai; Xiaoyi Liu; Lei Li; Yinghua Ye; Han Wu; Kepin Wang; Liangxue Lai
Journal:  Nucleic Acids Res       Date:  2022-05-20       Impact factor: 19.160

4.  Analysis of a large single institution cohort of related donors fails to detect a relation between SDF1/CXCR4 or VCAM/VLA4 genetic polymorphisms and the level of hematopoietic progenitor cell mobilization in response to G-CSF.

Authors:  Sylvain Garciaz; Patrick Sfumato; Angela Granata; Anne-Marie Imbert; Claire Fournel; Boris Calmels; Claude Lemarie; Jacques Chiaroni; Didier Blaise; Jean-Marie Boher; Christophe Picard; Christian Chabannon; Julie di Cristofaro
Journal:  PLoS One       Date:  2020-03-05       Impact factor: 3.240

5.  Extensive In Silico Analysis of ATL1 Gene : Discovered Five Mutations That May Cause Hereditary Spastic Paraplegia Type 3A.

Authors:  Mujahed I Mustafa; Naseem S Murshed; Abdelrahman H Abdelmoneim; Miyssa I Abdelmageed; Nafisa M Elfadol; Abdelrafie M Makhawi
Journal:  Scientifica (Cairo)       Date:  2020-04-19

6.  Predicting SSRI-Resistance: Clinical Features and tagSNPs Prediction Models Based on Support Vector Machine.

Authors:  Huijie Zhang; Xianglu Li; Jianyue Pang; Xiaofeng Zhao; Suxia Cao; Xinyou Wang; Xingbang Wang; Hengfen Li
Journal:  Front Psychiatry       Date:  2020-06-03       Impact factor: 4.157

7.  CYP2A6 and GABRA2 Gene Polymorphisms are Associated With Dexmedetomidine Drug Response.

Authors:  Chao Fang; Wen Ouyang; Youjie Zeng; Qi Pei; Yuhao Xia; Siwan Luo; Minghua Chen
Journal:  Front Pharmacol       Date:  2022-07-07       Impact factor: 5.988

8.  Clinically relevant genetic variants of drug-metabolizing enzyme and transporter genes detected in Thai children and adolescents with autism spectrum disorder.

Authors:  Sadeep Medhasi; Ekawat Pasomsub; Natchaya Vanwong; Nattawat Ngamsamut; Apichaya Puangpetch; Montri Chamnanphon; Yaowaluck Hongkaew; Penkhae Limsila; Darawan Pinthong; Chonlaphat Sukasem
Journal:  Neuropsychiatr Dis Treat       Date:  2016-04-13       Impact factor: 2.570

9.  In Silico Genetics Revealing 5 Mutations in CEBPA Gene Associated With Acute Myeloid Leukemia.

Authors:  Mujahed I Mustafa; Zainab O Mohammed; Naseem S Murshed; Nafisa M Elfadol; Abdelrahman H Abdelmoneim; Mohamed A Hassan
Journal:  Cancer Inform       Date:  2019-08-19

10.  ACBE, a new base editor for simultaneous C-to-T and A-to-G substitutions in mammalian systems.

Authors:  Jingke Xie; Xingyun Huang; Xia Wang; Shixue Gou; Yanhui Liang; Fangbing Chen; Nan Li; Zhen Ouyang; Quanjun Zhang; Weikai Ge; Qin Jin; Hui Shi; Zhenpeng Zhuang; Xiaozhu Zhao; Meng Lian; Jiaowei Wang; Yinghua Ye; Longquan Quan; Han Wu; Kepin Wang; Liangxue Lai
Journal:  BMC Biol       Date:  2020-09-23       Impact factor: 7.431

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.