Genetic Association ofSLC47A1Gene Variant (17:19571562C >T) and Bioinformatics Analyses of MATE1 Protein in Chronic Kidney Disease Patients of Pakistani Origin

Abstract

AbstractChronic Kidney Disease (CKD) is a serious human threat worldwide which is associated with a number of environmental, clinical and genetic factors that affect serum creatinine (SCr) and glomerular filtration rate (eGFR). One of the best biochemical and genetic markers to study renal functioning isSLC47A1which encodes MATE1 protein and can be a promising target to study its genetic causes, subject protein is a cationic transporter involved in the regulation of creatinine and urea levels in the blood which may cause toxicity and renal disorders. Hence, the current study focused to interrogate the putative association ofSLC47A1gene variant (17:19571562C>T) in 75 individuals (cases=50, controls=25) of Pakistani origin using ARMS-PCR genotyping, out of which 10 were found heterozygous, 57 homozygous wild-type and 08 homozygous mutants. PLINK data analysis toolset was used which manifested that sampled population complies the Hardy-Weinberg Equilibrium by χ2(2,N= 75) =,p= 4.756 × 10-005, similarly the Chi-square statisticsp= 0.03274 along with odds-ratio of 3.244 showing a significant genotypic association with the subject phenotype indicating that mutant allele is almost 3-times more prevalent in cases vs control cohorts with an alternative allele frequency of 0.22 and 0.08 in CKD patients and healthy controls respectively. Besides, few of the bioinformatics tools i.e., ProtParam, PsiPred, PDB-RCSB, Motif Scan, CTU-TMHMM-2.0, ScanProsite, PRmePRed, GPS PAIL2.0, NetOGlyc4.0, NetPhos3, SIFT, Polyphen-2 and STRING were also used for the prediction of different parameters of both the wild-type and mutant MATE1 proteins such as physiochemical properties, secondary structure prediction, 3-D structure, protein conserved domains, transmembrane structures, posttranslational modifications, SNP prediction/amino acid substitution, pathogenicity and protein-protein interaction networks. Current preliminary genotyping provided an insight into the association of the aforementioned genetic variant with CKD to estimate the genetic risks along with prediction of its functional effects in the system biology context which may be considered for developing new targeted drugs along with genetic counselling initiatives to evade this peril in the population.