High-Resolution Melt Curve Analysis: An Approach for Mutation Detection in the TPO Gene of Congenital Hypothyroid Patients in Bangladesh

Abstract

AbstractThyroid Peroxidase (TPO) is known to be the major gene involved in Congenital hypothyroid patients with thyroid dyshormonogenesis. This present study aimed to establish high-resolution melting (HRM) curve analysis as a supplementary mutation detection approach of Sanger sequencing targeting commonly found mutations c.1117G>T, c.1193G>C, and c.2173A>C in the TPO gene in Bangladeshi patients. We enrolled 36 confirmed cases of congenital hypothyroid patients with dyshormonogenesis to establish the HRM method. Blood samples were collected, and genomic DNA was isolated for molecular techniques. Among the 36 specimens, 20 were pre-sequenced, and mutations were characterized through Sanger sequencing. The pre-sequenced specimens (n=20) were then subjected to real-time PCR-HRM curve analysis to get the appropriate HRM condition capable of differentiating heterozygous and homozygous states for the three mutations from the wild-type state. Furthermore, 16 unknown specimens were subjected to HRM analysis to validate the method. This method showed 100 percent sensitivity and specificity to distinguish wild-type alleles from homozygous or heterozygous states (c.1117G>T, c.1193G>C, and c.2173A>C) of alleles commonly found in Bangladeshi patients. The HRM data was found to be similar to the sequencing result, thus confirming the validity of the HRM approach forTPOgene mutation.In conclusion, the established HRM-based molecular technique targeting c.1117G>T, c.1193G>C, and c.2173A>C mutations could be used as a high throughput, rapid, reliable, and cost-effective screening approach for the detection of all common mutations inTPOgene in Bangladeshi patients with dyshormonogenesis.