Diagnostic yield and clinical impact of exome sequencing in early-onset scoliosis (EOS)

Sen Zhao, Yuanqiang Zhang, Weisheng Chen, Weiyu Li, Shengru Wang, Lianlei Wang, Yanxue Zhao, Mao Lin, Yongyu Ye, Jiachen Lin, Yu Zheng, Jiaqi Liu, Hengqiang Zhao, Zihui Yan, Yongxin Yang, Yingzhao Huang, Guanfeng Lin, Zefu Chen, Zhen Zhang, Sen LiuLichao Jin, Zhaoyang Wang, Jingdan Chen, Yuchen Niu, Xiaoxin Li, Yong Wu, Yipeng Wang, Renqian Du, Na Gao, Hong Zhao, Ying Yang, Ying Liu, Ye Tian, Wenli Li, Yu Zhao, Jia Liu, Bin Yu, Na Zhang, Keyi Yu, Xu Yang, Shugang Li, Yuan Xu, Jianhua Hu, Zhe Liu, Jianxiong Shen, Shuyang Zhang, Jianzhong Su, Anas M. Khanshour, Yared H. Kidane, Brandon Ramo, Jonathan J. Rios, Pengfei Liu, V. Reid Sutton, Jennifer E. Posey, Zhihong Wu, Guixing Qiu, Carol A. Wise, Feng Zhang, James R. Lupski, Jianguo Zhang, Nan Wu

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

Background Early-onset scoliosis (EOS), defined by an onset age of scoliosis less than 10 years, conveys significant health risk to affected children. Identification of the molecular aetiology underlying patients with EOS could provide valuable information for both clinical management and prenatal screening. Methods In this study, we consecutively recruited a cohort of 447 Chinese patients with operative EOS. We performed exome sequencing (ES) screening on these individuals and their available family members (totaling 670 subjects). Another cohort of 13 patients with idiopathic early-onset scoliosis (IEOS) from the USA who underwent ES was also recruited. Results After ES data processing and variant interpretation, we detected molecular diagnostic variants in 92 out of 447 (20.6%) Chinese patients with EOS, including 8 patients with molecular confirmation of their clinical diagnosis and 84 patients with molecular diagnoses of previously unrecognised diseases underlying scoliosis. One out of 13 patients with IEOS from the US cohort was molecularly diagnosed. The age at presentation, the number of organ systems involved and the Cobb angle were the three top features predictive of a molecular diagnosis. Conclusion ES enabled the molecular diagnosis/classification of patients with EOS. Specific clinical features/feature pairs are able to indicate the likelihood of gaining a molecular diagnosis through ES.

Original languageEnglish (US)
Pages (from-to)41-47
Number of pages7
JournalJournal of medical genetics
Volume58
Issue number1
DOIs
StatePublished - Jan 1 2021

Keywords

  • clinical genetics
  • diagnostics
  • genetics
  • molecular genetics

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

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