Since the first report of SOPH syndrome among the Yakut population in 2010, new clinical data of SOPH-like conditions continue to appear. We expand the phenotypic spectrum of SOPH syndrome and perform a comparative analysis of Yakut SOPH patients\' clinical data with SOPH-like conditions reported in the world scientific literature to form a foundation for NBAS pathogenesis discussion. Clinical data from the genetic records of 93 patients with SOPH syndrome and global survey data on patients with pathogenic variants of the C-terminal in the NBAS gene were collected. A detailed phenotype description of patients is presented with a total number of 111 individuals. Underweight below the fifth centile and prone to delayed bone age in Yakut SOPH patients are retrospectively observed. We outline the short stature with optic atrophy as the leading phenotyping trait for C-terminal NBAS patients. The pathophysiology and patients management of SOPH-like conditions are discussed.

Inherited neuromuscular diseases (NMDs) are genetic disorders that affect the skeletal muscles or the nerves controlling muscle function. With a new generation of diagnostic options and recent advances in translational research improving the opportunities for therapy development for these rare conditions, capturing patient information in databases collecting a range of clinical and genetic data together with contact details has assumed an increasingly important role in trial planning and recruitment as well as natural history data collection. Here we provide an overview of a decade of patient registration activities in the NMD field, with a particular focus on patient registries set up with trial readiness in mind. A summary is provided of databases collecting precise genetic information focused on confirming the causative mutation and their evolution into registries that combine genetic data with additional clinical information useful for trial feasibility and recruitment. Use of these systems for a range of purposes beyond trial recruitment, including natural history assessment, care standards monitoring, genotype-phenotype correlation and disease burden evaluation is also described within the context of research networks (TREAT-NMD) and European Reference Networks (ERN-EURO-NMD). New initiatives including registries using controlled vocabularies for computational accessibility that focus on phenotypic data capture for gene discovery are analysed, and examples of the lessons learned at every stage are provided in order to allow new patient registration initiatives to benefit from the extensive experience gained.