In silico analysis of mutation spectrum of Ehlers–Danlos, osteogenesis imperfecta, and cutis laxa overlapping phenotypes in Iranian population

Abstract

Ehlers–Danlos syndrome (EDS), osteogenesis imperfecta (OI), and cutis laxa (CL) are three rare and heterogeneous connective tissue disorders. Patients with these syndromes have similar manifestations and unpredictable prognosis, making a misdiagnosis highly probable. Some of their subtypes are inherited in autosomal recessive patterns, so they are expected to be prevalent in populations like Iran, where consanguineous marriages are common. In the current work, a cohort of Iranian patients with overlapping phenotypes of the EDS/OI/CL and their mutation spectrum was defined. Based on this, in silico analysis was conducted to anticipate further probable genetic variations. Pathogenicity of EDS, OI, and CL variants in Iranian patients was evaluated using Web servers. A protein interaction network was created by String database and visualized using a Python-based library. The Iranome database was used to predict other genetic mutations in all reported genes of EDS, OI, and CL syndromes. In the EDS/OI/CL overlap phenotype, 32 variants in 18 genes have been involved. At least 59% of patients were from families with consanguineous marriages. Interaction analysis showed that COL1A1, COL1A2, CRTAP, LEPRE1, PLOD1, and ADAMTS2 have the most significant impact within the protein network of EDS/OI/CL overlap phenotype. Analyzing the Iranome database revealed 46 variants of EDS, OI, and CL genes potentially disease causing. The overlapping phenotype of EDS, OI, and CL syndromes requires genetic testing (e.g., whole-exome sequencing) to reveal respective variants, which helps to diagnose more accurately and manage the disease more effectively. Particularly in populations with high rates of consanguineous marriages, such as Iran, genetic screening plays a crucial role in premarital and prenatal counseling to prevent the transmission of these rare connective tissue disorders.