Literature DB >> 20953949

Phenotype prediction of nonsynonymous single nucleotide polymorphisms in human phase II drug/xenobiotic metabolizing enzymes: perspectives on molecular evolution.

DaCheng Hao1, PeiGen Xiao, ShiLin Chen.   

Abstract

Nonsynonymous single nucleotide polymorphisms (nsSNPs) in coding regions can lead to amino acid changes that might alter the protein's function and account for susceptibility to disease and altered drug/xenobiotic response. Many nsSNPs have been found in genes encoding human phase II metabolizing enzymes; however, there is little known about the relationship between the genotype and phenotype of nsSNPs in these enzymes. We have identified 923 validated nsSNPs in 104 human phase II enzyme genes from the Ensembl genome database and the NCBI SNP database. Using PolyPhen, Panther, and SNAP algorithms, 44%-59% of nsSNPs in phase II enzyme genes were predicted to have functional impacts on protein function. Predictions largely agree with the available experimental annotations. 68% of deleterious nsSNPs were correctly predicted as damaging. This study also identified many amino acids that are likely to be functionally critical, but have not yet been studied experimentally. There was significant concordance between the predicted results of Panther and PolyPhen, and between SNAP non-neutral predictions and PolyPhen scores. Evolutionarily non-neutral (destabilizing) amino acid substitutions are thought to be the pathogenetic basis for the alteration of phase II enzyme activity and to be associated with disease susceptibility and drug/xenobiotic toxicity. Furthermore, the molecular evolutionary patterns of phase II enzymes were characterized with regards to the predicted deleterious nsSNPs.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20953949     DOI: 10.1007/s11427-010-4062-9

Source DB:  PubMed          Journal:  Sci China Life Sci        ISSN: 1674-7305            Impact factor:   6.038


  6 in total

1.  Deleterious nonsynonymous single nucleotide polymorphisms in human solute carriers: the first comparison of three prediction methods.

Authors:  Da-Cheng Hao; Bing Xiao; Ying Xiang; Xue-Wei Dong; Pei-Gen Xiao
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2012-05-04       Impact factor: 2.441

2.  Performance of computational tools in evaluating the functional impact of laboratory-induced amino acid mutations.

Authors:  Vanessa E Gray; Kimberly R Kukurba; Sudhir Kumar
Journal:  Bioinformatics       Date:  2012-06-08       Impact factor: 6.937

3.  The association of six non-synonymous variants in three DNA repair genes with hepatocellular carcinoma risk: a meta-analysis.

Authors:  Yan-Hui Shi; Bin Wang; Bai-Ping Xu; Dan-Na Jiang; Dong-Mei Zhao; Man-Ru Ji; Li Zhou; Xue Li; Chang-Zhu Lu
Journal:  J Cell Mol Med       Date:  2016-06-16       Impact factor: 5.310

Review 4.  Anticancer Chemodiversity of Ranunculaceae Medicinal Plants: Molecular Mechanisms and Functions.

Authors:  Da-Cheng Hao; Chun-Nian He; Jie Shen; Pei-Gen Xiao
Journal:  Curr Genomics       Date:  2017-02       Impact factor: 2.236

5.  Functional and Transcriptomic Characterization of a Dye-decolorizing Fungus from Taxus Rhizosphere.

Authors:  DA Cheng Hao; Si Meng Song; Yan Cheng; Zhi Qiang Qin; Guang Bo Ge; Bai Lin An; Pei Gen Xiao
Journal:  Pol J Microbiol       Date:  2018

Review 6.  Technologies for Pharmacogenomics: A Review.

Authors:  Maaike van der Lee; Marjolein Kriek; Henk-Jan Guchelaar; Jesse J Swen
Journal:  Genes (Basel)       Date:  2020-12-04       Impact factor: 4.096

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.