Exploration of clinical and genetic findings in Ataxia-Telangiectasia (AT) patients from the Indian subcontinent

Ataxia-Telangiectasia (AT) is a rare autosomal recessive neurodegenerative disorder. It is caused by mutations in the Ataxia-Telangiectasia mutated (ATM) gene, which codes for protein ATM serine/threonine kinase.We aim to describe the clinical and radiological findings in children and adolescents of 20 molecularly confirmed cases of AT. We aim to correlate these findings with the genotype identified among them.This retrospective study included 20 patients diagnosed clinically and genetically with AT over 10 years. The clinical, radiological and laboratory data were extracted from the hospital's electronic medical records. Molecular testing was done using next generation sequencing and Sanger sequencing. In silico predictions were performed for the variants identified by applying Cryp-Skip, Splice site prediction by Neural Network, Mutation Taster and Hope prediction tool.Consanguinity was documented in nearly half of the patients. Telangiectasia was absent in 10%. Microcephaly was seen in 40% cases. The incidence of malignancy in our study population was low. Molecular testing done in the 18 families (20 patients) identified 23 variants of which ten were novel. Biallelic homozygous variants were noted in 13 families and compound heterozygous in 5 families. Out of the 13 families who were homozygous, 8 families (61.5%) (9 patients) have history of consanguinity. In silico prediction of novel missense variants, NM_000051.4 (ATM_v201): c.2702T > C showed disruption of the α-helix of ATM protein and NM_000051.4 (ATM_v201): c.6679C > G is expected to disturb the rigidity of protein structure in the FAT domain. The four novel splice site variants and two intronic variants result in exon skipping as predicted by Cryp-Skip.AT should be confirmed by molecular testing in young-onset cerebellar ataxia, even without telangiectasia. Awareness of this rare disease will facilitate study of larger cohorts from Indian population to characterize variants and determine its prevalence in this population.