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 profiles 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 Exome Depth. Likely causal CNV predictions were validated by CNVseq.
Results: Thirty-eight mutations including 29 novel ones were identified in 25 out of 54 patients, providing a 46.3% positive molecular diagnostic rate. Ten different genes were involved, and the 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 firstly reported in China and the uniparental disomy of ADCK3 was reported for the first time worldwide. Furthermore, the clinical features of the patients carrying SACS, SYNE1and 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 CNV analysis in diagnosing suspected ARCA, and emphasize the importance of complete bioinformatics analysis of WES data in making an accurate diagnosis.

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This is a list of supplementary files associated with this preprint. Click to download.
Additional file 1: Supplementary Figure 1. Reported mutations identified in our ARCA patients. A: Sequencing chromatograms of 9 reported ARCA related mutations. The upper sequence in each frame represents the normal sequence, whereas the lower one represents the variant. B: Sequencing chromatograms of PTPRQ mutations in case 10. C: The pedigree of case 10 with ataxia and hearing loss. Open symbol: unaffected; filled symbol with black or red: affected with ataxia or hearing loss; square: male; circle: female. Genotype data are shown underneath the symbols. Arrowhead: proband of the family. (TIF)
Additional file 2: Supplementary Video 1. Myoclonic jerks of face in case 7 with SYNE1 mutations. (MP4)
Additional file 3: Supplementary Table 1. The scale score follow-up of case 15 with ADCK3 mutation after supply COQ10. (XLSX) Additional file 4: Supplementary Table 2. Clinical features of ARSACS patients in China. (XLSX)
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Posted 12 Jun, 2021
On 23 Jun, 2021
Received 21 Jun, 2021
Received 19 Jun, 2021
On 08 Jun, 2021
Received 07 Jun, 2021
On 06 Jun, 2021
Invitations sent on 04 Jun, 2021
On 04 Jun, 2021
On 31 May, 2021
On 31 May, 2021
On 30 May, 2021
Posted 12 Jun, 2021
On 23 Jun, 2021
Received 21 Jun, 2021
Received 19 Jun, 2021
On 08 Jun, 2021
Received 07 Jun, 2021
On 06 Jun, 2021
Invitations sent on 04 Jun, 2021
On 04 Jun, 2021
On 31 May, 2021
On 31 May, 2021
On 30 May, 2021
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 profiles 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 Exome Depth. Likely causal CNV predictions were validated by CNVseq.
Results: Thirty-eight mutations including 29 novel ones were identified in 25 out of 54 patients, providing a 46.3% positive molecular diagnostic rate. Ten different genes were involved, and the 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 firstly reported in China and the uniparental disomy of ADCK3 was reported for the first time worldwide. Furthermore, the clinical features of the patients carrying SACS, SYNE1and 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 CNV analysis in diagnosing suspected ARCA, and emphasize the importance of complete bioinformatics analysis of WES data in making an accurate diagnosis.

Figure 1

Figure 2

Figure 3

Figure 4
This is a list of supplementary files associated with this preprint. Click to download.
Additional file 1: Supplementary Figure 1. Reported mutations identified in our ARCA patients. A: Sequencing chromatograms of 9 reported ARCA related mutations. The upper sequence in each frame represents the normal sequence, whereas the lower one represents the variant. B: Sequencing chromatograms of PTPRQ mutations in case 10. C: The pedigree of case 10 with ataxia and hearing loss. Open symbol: unaffected; filled symbol with black or red: affected with ataxia or hearing loss; square: male; circle: female. Genotype data are shown underneath the symbols. Arrowhead: proband of the family. (TIF)
Additional file 2: Supplementary Video 1. Myoclonic jerks of face in case 7 with SYNE1 mutations. (MP4)
Additional file 3: Supplementary Table 1. The scale score follow-up of case 15 with ADCK3 mutation after supply COQ10. (XLSX) Additional file 4: Supplementary Table 2. Clinical features of ARSACS patients in China. (XLSX)
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