Literature DB >> 19768584

SNPs: impact on gene function and phenotype.

Barkur S Shastry1.   

Abstract

Single nucleotide polymorphism (SNP) is the simplest form of DNA variation among individuals. These simple changes can be of transition or transversion type and they occur throughout the genome at a frequency of about one in 1,000 bp. They may be responsible for the diversity among individuals, genome evolution, the most common familial traits such as curly hair, interindividual differences in drug response, and complex and common diseases such as diabetes, obesity, hypertension, and psychiatric disorders. SNPs may change the encoded amino acids (nonsynonymous) or can be silent (synonymous) or simply occur in the noncoding regions. They may influence promoter activity (gene expression), messenger RNA (mRNA) conformation (stability), and subcellular localization of mRNAs and/or proteins and hence may produce disease. Therefore, identification of numerous variations in genes and analysis of their effects may lead to a better understanding of their impact on gene function and health of an individual. This improved knowledge may provide a starting point for the development of new, useful SNP markers for medical testing and a safer individualized medication to treat the most common devastating disorders. This will revolutionize the medical field in the future. To illustrate the effect of SNPs on gene function and phenotype, this minireview focuses on evidences revealing the impact of SNPs on the development and progression of three human eye disorders (Norrie disease, familial exudative vitreoretinopathy, and retinopathy of prematurity) that have overlapping clinical manifestations.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19768584     DOI: 10.1007/978-1-60327-411-1_1

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  152 in total

1.  Predicting folding free energy changes upon single point mutations.

Authors:  Zhe Zhang; Lin Wang; Yang Gao; Jie Zhang; Maxim Zhenirovskyy; Emil Alexov
Journal:  Bioinformatics       Date:  2012-01-11       Impact factor: 6.937

2.  The Levinthal paradox of the interactome.

Authors:  Peter Tompa; George D Rose
Journal:  Protein Sci       Date:  2011-11-09       Impact factor: 6.725

Review 3.  Impact of host genetic polymorphisms on vaccine induced antibody response.

Authors:  Janina E Linnik; Adrian Egli
Journal:  Hum Vaccin Immunother       Date:  2016-01-25       Impact factor: 3.452

4.  WT1 synonymous single nucleotide polymorphism rs16754 correlates with higher mRNA expression and predicts significantly improved outcome in favorable-risk pediatric acute myeloid leukemia: a report from the children's oncology group.

Authors:  Phoenix A Ho; Julia Kuhn; Robert B Gerbing; Jessica A Pollard; Rong Zeng; Kristen L Miller; Nyla A Heerema; Susana C Raimondi; Betsy A Hirsch; Janet L Franklin; Beverly Lange; Alan S Gamis; Todd A Alonzo; Soheil Meshinchi
Journal:  J Clin Oncol       Date:  2010-12-28       Impact factor: 44.544

5.  Characterization of melanoma susceptibility genes in high-risk patients from Central Italy.

Authors:  Cristina Pellegrini; Maria Giovanna Maturo; Claudia Martorelli; Mariano Suppa; Ambra Antonini; Dimitra Kostaki; Lucilla Verna; Maria Teresa Landi; Ketty Peris; Maria Concetta Fargnoli
Journal:  Melanoma Res       Date:  2017-06       Impact factor: 3.599

6.  Toll-like receptor 3 acts as a suppressor gene in breast cancer initiation and progression: a two-stage association study and functional investigation.

Authors:  Lei Fan; Peng Zhou; Qi Hong; Ao-Xiang Chen; Guang-Yu Liu; Ke-Da Yu; Zhi-Ming Shao
Journal:  Oncoimmunology       Date:  2019-03-30       Impact factor: 8.110

7.  miR-146a and miR-196a2 polymorphisms in patients with ischemic stroke in the northern Chinese Han population.

Authors:  Ruixia Zhu; Xu Liu; Zhiyi He; Qu Li
Journal:  Neurochem Res       Date:  2014-06-22       Impact factor: 3.996

8.  Single nucleotide polymorphisms in microRNA binding sites of oncogenes: implications in cancer and pharmacogenomics.

Authors:  Mayakannan Manikandan; Arasambattu Kannan Munirajan
Journal:  OMICS       Date:  2013-11-28

9.  Polymorphisms of monocarboxylate transporter genes are associated with clinical outcomes in patients with colorectal cancer.

Authors:  Fei Fei; Xu Guo; Yibing Chen; Xiaonan Liu; Jianfei Tu; Jinliang Xing; Zhinan Chen; Jiansong Ji; Xianli He
Journal:  J Cancer Res Clin Oncol       Date:  2014-12-10       Impact factor: 4.553

10.  Positive association between aspirin-intolerant asthma and genetic polymorphisms of FSIP1: a case-case study.

Authors:  Jason Yongha Kim; Jeong Hyun Kim; Tae Joon Park; Joon Seol Bae; Jin Sol Lee; Charisse Flerida Pasaje; Byung Lae Park; Hyun Sub Cheong; Jong-Sook Park; Sung-Woo Park; Soo-Taek Uh; Mi-Kyeong Kim; Inseon S Choi; Sang Heon Cho; Byoung Whui Choi; Choon-Sik Park; Hyoung Doo Shin
Journal:  BMC Pulm Med       Date:  2010-06-01       Impact factor: 3.317

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.