Purpose
Primary congenital hypothyroidism (CH) is the most common endocrine disease in children and one of the preventable causes of both cognitive and motor deficits. We present a genetic and bioinformatics investigation of rational clinical design in 16 Argentine patients suspected of CH due to thyroid dyshormonogenesis (TDH).
Methods
Next-Generation Sequencing approach was used to identify variants in Thyroid Peroxidase (TPO) and Dual Oxidase 2 (DUOX2) genes. A custom panel targeting 7 genes associated with TDH [(TPO, Iodothyrosine Deiodinase I (IYD), Solute Carrier Family 26 Member 4 (SLC26A4), Thyroglobulin (TG), (DUOX2), Dual Oxidase Maturation Factor 2 (DUOXA2), Solute Carrier Family 5 Member 5 (SLC5A5)] and 4 associated with thyroid dysembryogenesis [PAX8, FOXE1, NKX2-1, Thyroid Stimulating Hormone Receptor (TSHR)] has been designed. Additionally, bioinformatic analysis and structural modeling were carried out to predict the disease-causing potential variants.
Results
Five novel variants have been identified, two in TPO: c.2749-2A>C and c.2752_2753delAG, [p.Ser918Cysfs*62] and three variants in DUOX2 gene: c.425C>G [p.Pro142Arg]; c.790delC [p.Leu264Cysfs*57] and c.2695delC [p.Gln899Serfs*21]. Seventeen identified TPO, DUOX2 and IYD variants were previously described. We identified potentially pahogenic bi-allelic variants in TPO and DUOX2 in 8 and 2 patients, respectively. We also detected a potentially pathogenic mono-allelic variant in TPO and DUOX2 in 4 and 1 patients respectively. Only two patients were heterozygous for digenic variants in TPO/IYD and in TPO/DUOX2 genes.
Conclusions
22 variants have been identified associated with TDH. All described novel mutations occur in domains important for protein structure and function, predicting the TDH phenotype.