Genetic spectrum and clinical features in a cohort of Chinese patients with autosomal recessive cerebellar ataxias.

Transl Neurodegener

Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310000, China.

Published: October 2021

AI Article Synopsis

  • Genetic testing in Chinese patients with autosomal recessive cerebellar ataxia (ARCA) revealed causative mutations in 46.3% of cases through whole-exome sequencing and copy number variation analysis.
  • Researchers identified 38 mutations in 25 patients, with four genes (SACS, SYNE1, ADCK3, SETX) linked to the majority of positive results.
  • This study highlights the effectiveness of advanced genetic diagnostic techniques and the need for comprehensive bioinformatics analysis to improve diagnosis rates in ARCA patients.

Article Abstract

Background: Although many causative genes have been uncovered in recent years, genetic diagnosis is still missing for approximately 50% of autosomal recessive cerebellar ataxia (ARCA) patients. Few studies have been performed to determine the genetic spectrum and clinical profile of ARCA patients in the Chinese population.

Methods: Fifty-four Chinese index patients with unexplained autosomal recessive or sporadic ataxia were investigated by whole-exome sequencing (WES) and copy number variation (CNV) calling with ExomeDepth. Likely causal CNV predictions were validated by CNVseq.

Results: Thirty-eight mutations including 29 novel ones were identified in 25 out of the 54 patients, providing a 46.3% positive molecular diagnostic rate. Ten different genes were involved, of which four most common genes were SACS, SYNE1, ADCK3 and SETX, which accounted for 76.0% (19/25) of the positive cases. The de novo microdeletion in SACS was reported for the first time in China and the uniparental disomy of ADCK3 was reported for the first time worldwide. Clinical features of the patients carrying SACS, SYNE1 and ADCK3 mutations were summarized.

Conclusions: Our results expand the genetic spectrum and clinical profiles of ARCA patients, demonstrate the high efficiency and reliability of WES combined with CNV analysis in the diagnosis of suspected ARCA, and emphasize the importance of complete bioinformatics analysis of WES data for accurate diagnosis.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522248PMC
http://dx.doi.org/10.1186/s40035-021-00264-zDOI Listing

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