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Clinical features and molecular genetics of patients with RASopathies: expanding the phenotype with rare genes and novel variants

Yılmaz Uzman et al. (2025) used Genomize-SEQ to analyze targeted gene panel data from 149 children with suspected RASopathies, identifying disease-causing variants in over a quarter of patients and uncovering three new genetic variants — including rare clinical features never before described in these conditions.

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Clinical, electrophysiological, and genetic analysis of a family with two rare neuromuscular disorders: congenital myasthenic syndrome and hereditary polyneuropathy

Tezen et al. (2024) used Genomize-SEQ to analyze whole exome sequencing data from a multi-generational family, discovering that two rare nerve disorders, a neuromuscular junction defect and a hereditary neuropathy, were caused by separate gene mutations co-existing in the same family due to a history of consanguineous marriages.

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A rare cause of immune dysregulation, prolidase deficiency: a case report and review of the literature

Baysal Bakır et al. (2024) used Genomize-SEQ to identify a rare genetic enzyme deficiency (prolidase deficiency) in a teenager who had been presenting for years with lupus-like symptoms, recurrent infections, and skin ulcers, highlighting how genomic sequencing can resolve complex diagnostic cases that mimic more common autoimmune diseases.

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Genetic Evaluation of the Patients with Clinically Diagnosed Inborn Errors of Immunity by Whole Exome Sequencing: Results from a Specialized Research Center for Immunodeficiency in Türkiye

Erman et al. (2024) used Genomize-SEQ to analyze whole-exome sequencing data from 297 patients with inborn errors of immunity across 21 centers in Türkiye, establishing a molecular diagnosis in 41.1% of cases and enabling more precise treatment decisions and genetic counseling for affected families.

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Association of 3’UTR variations of EGFR and KRAS oncogenes with clinical parameters in lung cancer tumours

Bülbül et al. (2024) used Genomize-SEQ to analyze tumor sequencing data from 118 endometrial cancer patients, showing that targeted molecular testing can be applied more selectively, without missing clinically meaningful diagnoses, while a routinely overlooked microscopy feature (MELF invasion) independently predicts worse survival.

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