Next‐generation sequencing and analysis of consecutive patients referred for connective tissue disorders. Issue 10 (29th July 2022)

• Record Type: Journal Article
• Authors: Steinle, Jacob; Hossain, Waheeda A.; Veatch, Olivia J.; Strom, Samuel P.; Butler, Merlin G.
• Is Part Of: American journal of medical genetics. Volume 188:Issue 10(2022)
• Page Start: 3016
• Page End: 3023
• Publication Date: 2022-07-29
• Subjects: bioinformatics -- consecutive patient cohort -- Ehlers–Danlos syndrome -- gene variants and classification -- heritable connective tissue disorders -- next‐generation sequencing (NGS); Medical genetics -- Periodicals; 616.14205
• DOI: 10.1002/ajmg.a.62905
• Languages: English
• ISSNs: 1552-4825

Abstract

Abstract: Heritable connective tissue disorders (HCTDs) consist of a wide array of genetic disorders such as Ehlers–Danlos syndrome, Marfan syndrome, and osteogenesis imperfecta. The diagnosis relies on clinical presentation and family history to guide genetic testing with next‐generation sequencing (NGS) for identification of gene variants in HCTDs. NGS was performed on a cohort of 100 consecutive, unrelated patients referred for a connective tissue disorder at Fulgent Genetics, an accredited commercial laboratory. One hundred seventeen gene variants were found in 76 patients with 10 recognized pathogenic or likely pathogenic variants seen in nine patients. The remaining variants were grouped as unknown clinical significance with 36 meeting three out of four pathogenicity criteria, or potentially pathogenic, as defined in our study in 33 patients. They were judged as potentially pathogenic for clinical care and management with disease surveillance based on the specific gene and phenotypic presentation. Gene variants in collagen‐related proteins were the most frequent with ZNF469 and ADAMTSL2 variants most often identified. Joint hypermobility was the most frequent clinical finding. Variants were found in 76% of patients who had distinct clinical features of a HCTD. The data were stratified to provide insight into frequency and types of variants, their classification, and clinical manifestations.