Abstract

Abundant nsSNPs have been found in genes coding for human solute carrier (SLC) transporters, but there is little known about the relationship between the genotype and phenotype of nsSNPs in these membrane proteins. It is unknown which prediction method is better suited for the prediction of nonneutral nsSNPs of SLC transporters. We have identified 2,958 validated nsSNPs in human SLC family members 1-47 from the Ensembl genome database and the NCBI SNP database. Using three different algorithms, 37-45% of nsSNPs in SLC genes were predicted to have functional impacts on transporter function. Predictions largely agreed with the available experimental annotations. Overall, 76.5, 74.4, and 73.5% of nonneutral nsSNPs were predicted correctly as damaging by SNAP, SIFT, and PolyPhen, respectively, while 67.4, 66.3, and 76.7% of neutral nsSNPs were predicted correctly as nondamaging by the three methods, respectively. This study identified many amino acids that were likely to be functionally critical but have not yet been studied experimentally. There was a significant concordance between the predicted results of different methods. Evolutionarily nonneutral (destabilizing) amino acid substitutions are predicted to be the basis for the pathogenic alteration of SLC transporter activity that is associated with disease susceptibility and altered drug/xenobiotic response.

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