Phenotype Prediction of Non‐Synonymous Single‐Nucleotide Polymorphisms in Human ATP‐Binding Cassette Transporter Genes

Abstract

A large number of non-synonymous single-nucleotide polymorphisms (nsSNPs) have been found in human genome, but there is poor knowledge on the relationship between the genotype and phenotype of these nsSNPs. Human ATP-binding cassette (ABC) transporters are able to transport a number of important substrates including endogenous and exogenous compounds. This study aimed to predict the phenotypical impact of nsSNPs of human ABC transporter genes, and the predicted results were further validated by reported phenotypical data from site-directed mutagenesis and clinical genetic studies. One thousand and six hundred thirty-two nsSNPs were found from 49 human ABC transporter genes. Using the PolyPhen and SIFT algorithms, 41.8-53.6% of nsSNPs in ABC transporter genes were predicted to have an impact on protein function. The prediction accuracy was up to 63-85% when compared with known phenotypical data from in vivo and in vitro studies. There was a significant concordance between the prediction results using SIFT and PolyPhen. Of nsSNPs predicted as deleterious, the prediction scores by SIFT and PolyPhen were significantly related to the number of nsSNPs with known phenotypes confirmed by experimental and human studies. The amino acid substitution variants are supposed to be the pathogenetic basis of increased susceptibility to certain diseases with Mendelian or complex inheritance, altered drug resistance and altered drug clearance and response. Predicting the phenotypic consequence of nsSNPs using computational algorithms may provide a better understanding of genetic differences in susceptibility to diseases and drug response. The prediction of nsSNPs in human ABC transporter genes would be useful hints for further genotype-phenotype studies.

Gene-Specific Function Prediction for Non-Synonymous Mutations in Monogenic Diabetes Genes

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