Systematic data-querying of large pediatric biorepository identifies novel Ehlers-Danlos Syndrome variant. Issue 1 (December 2016)

• Record Type: Journal Article
• Authors: Desai, Akshatha; Connolly, John; March, Michael; Hou, Cuiping; Chiavacci, Rosetta; Kim, Cecilia; Lyon, Gholson; Hadley, Dexter; Hakonarson, Hakon
• Is Part Of: BMC musculoskeletal disorders. Volume 17:Issue 1(2016)
• Page Start: 1
• Page End: 10
• Publication Date: 2016-12
• Subjects: Whole genome sequencing -- Ehlers-Danlos Syndrome -- Biorepository -- Electronic medical records -- EDS -- EMR -- WGS; Musculoskeletal system -- Diseases -- Periodicals; 616.705
• DOI: 10.1186/s12891-016-0936-8
• Languages: English
• ISSNs: 1471-2474

Abstract

Abstract Background Ehlers Danlos Syndrome is a rare form of inherited connective tissue disorder, which primarily affects skin, joints, muscle, and blood cells. The current study aimed at finding the mutation that causing EDS type VII C also known as "Dermatosparaxis" in this family. Methods Through systematic data querying of the electronic medical records (EMRs) of over 80, 000 individuals, we recently identified an EDS family that indicate an autosomal dominant inheritance. The family was consented for genomic analysis of their de-identified data. After a negative screen for known mutations, we performed whole genome sequencing on the male proband, his affected father, and unaffected mother. We filtered the list of non-synonymous variants that are common between the affected individuals. Results The analysis of non-synonymous variants lead to identifying a novel mutation in theADAMTSL2 (p. Gly421Ser) gene in the affected individuals. Sanger sequencing confirmed the mutation. Conclusion Our work is significant not only because it sheds new light on the pathophysiology of EDS for the affected family and the field at large, but also because it demonstrates the utility of unbiased large-scale clinical recruitment in deciphering the genetic etiology of rare mendelian diseases. With unbiased large-scale clinical recruitment we strive to sequence as many rare mendelian diseases as possible, and this work in EDS serves as a successful proof of concept to that effect.