Evidence map›Paper›PMID 41851873›Full record

ArticleBMC neurology2026

A novel STUB1 p.(Gln118*) nonsense variant in compound heterozygosity causes autosomal recessive spinocerebellar ataxia type 16 in a Chinese patient.

Kun-Mu Zheng, Ming-Kun Tang, Jian-Peng Li, Qi Liu, Min Bi, Hui-Juan Wan, Hui-Wen Jiang, Zi-Wen Yu, Jing Wang, Chu-Chuan Xu and 3 more

Abstract readCase Reports
In one paragraph

Article in BMC neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Kun-Mu Zheng *The School of Clinical Medicine, Fujian Medical University, Fuzhou, China.
Ming-Kun Tang *The School of Clinical Medicine, Fujian Medical University, Fuzhou, China.
Jian-Peng Li *The School of Clinical Medicine, Fujian Medical University, Fuzhou, China.
Qi LiuThe School of Clinical Medicine, Fujian Medical University, Fuzhou, China.
Min BiThe School of Clinical Medicine, Fujian Medical University, Fuzhou, China.
Hui-Juan WanThe School of Clinical Medicine, Fujian Medical University, Fuzhou, China.
Hui-Wen JiangDepartment of Neurology, Longyan People Hospital of Fujian, Longyan, China.
Zi-Wen YuThe School of Clinical Medicine, Fujian Medical University, Fuzhou, China.
Jing WangThe School of Clinical Medicine, Fujian Medical University, Fuzhou, China.
Chu-Chuan XuThe School of Clinical Medicine, Fujian Medical University, Fuzhou, China.
Jing-Xun WuThe School of Clinical Medicine, Fujian Medical University, Fuzhou, China. wujingxun@xmu.edu.cn.
Nai-An XiaoThe School of Clinical Medicine, Fujian Medical University, Fuzhou, China. wsxna@163.com.
Bin JiangThe School of Clinical Medicine, Fujian Medical University, Fuzhou, China. binjiang@xmu.edu.cn.

Funding

Medical and Health Guiding Project of Xiamen City 3502Z20214ZD1011Medical and Health Guiding Project of Xiamen City to Bin Jiang 3502Z20254ZD1047Natural Science Foundation of Fujian Province 2022J011359Natural Science Foundation of Fujian Province 2022J011380
6 · The paper itself

Abstract

backgroundSpinocerebellar ataxias comprise a group of neurodegenerative disorders characterized by progressive cerebellar ataxia with clinical and genetic heterogeneity. Autosomal recessive spinocerebellar ataxia type 16 (SCAR16) is characterized by cerebellar ataxia accompanied by pyramidal tract damage, cognitive decline, hypogonadism, and extrapyramidal symptoms. SCAR16 is caused by mutations in the STIP1 homology and U-box containing protein 1 (STUB1) gene.

methodsThe whole-exome sequencing combined with long-range flanking polymerase chain reaction (PCR) were performed in a Chinese SCAR16 patient. Furthermore, we used quantitative real-time PCR and western blot analysis to investigate the function of variant in STUB1 in cultured cells.

resultsWe identified a compound heterozygote in STUB1 containing a novel nonsense variant, NM_005861.4:c.352 C > T, p.(Gln118*), and a pathogenic missense variant, NM_005861.4:c.433 A > C, p.(Lys145Gln), in a Chinese SCAR16 patient. The age at onset was 27 years old with clinical characteristics of cerebellar ataxia and increased tendon reflex. We found that STUB1 p.(Gln118*) variant generated truncated proteins of the C-terminus of Hsc70-interacting protein and caused the loss function of ubiquitin ligase activity.

conclusionsOur results confirmed the pathogenicity of the STUB1 p.(Gln118*) variant, expanding the spectrum of causative variants associated with SCAR16.

Indexed as

Codon, NonsenseSpinocerebellar AtaxiasUbiquitin-Protein LigasesAdultEast Asian PeopleFemaleHeterozygoteHumansMaleCodon, NonsenseSTUB1 protein, humanUbiquitin-Protein LigasesAutosomal recessive spinocerebellar ataxia-16Chinese patientNovel mutationSTUB1

Identifiers

PMID41851873
PMCPMC13123184

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.