Skip to main content

Identification of a rare SEPT9 variant in a family with autosomal dominant Charcot-Marie-Tooth disease



Charcot-Marie-Tooth disease (CMT) is one of the most commonly inherited neurological disorders. A growing number of genes, involved in glial and neuronal functions, have been associated with different subtypes of CMT leading to improved diagnostics and understanding of pathophysiological mechanisms. However, some patients and families remain genetically unsolved.


We report on a German family including four affected members over three generations with a CMT phenotype accompanied by cognitive deficits, predominantly with regard to visual abilities and episodic memory.


A comprehensive clinical characterization followed by a sequential diagnostic approach disclosed a heterozygous rare SEPT9 missense variant c.1406 T > C, p.(Val469Ala), that segregates with disease. SEPT9 has been linked to various intracellular functions, such as cytokinesis and membrane trafficking. Interestingly, SEPT9-mutations are known to cause hereditary neuralgic amyotrophy (HNA), a recurrent focal peripheral neuropathy.


We, for the first time, present a SEPT9 variant associated to a CMT phenotype and suggest SEPT9 as new sufficient candidate gene in CMT.

Peer Review reports


Charcot-Marie-Tooth disease (CMT), also known as hereditary motor and sensory neuropathy, comprises a genetically and clinically heterogeneous group of genetic disorders that mainly affect peripheral nerves. CMT is clinically characterized by distal muscle weakness and atrophy, sensory loss, depressed tendon reflexes, and foot deformity. Growing knowledge about additional clinical features associated with CMT makes it a syndromic disease [1]. Most commonly, CMT is neurophysiologically subdivided into a demyelinating (CMT1) and axonal (CMT2) form depending on whether nerve conduction velocity (NCV) is below or above 38 m/s [2]. Up to 60–70% of demyelinating CMT cases are caused by duplication of peripheral myelin protein 22 gene (PMP22). Together with mutations in myelin protein zero (MPZ), gap junction protein beta 1 (GJB1), and mitofusin 2 (MFN2), over half of CMT cases can be explained [3]. So far, more than 80 CMT-genes have been identified mainly through linkage analysis and next generation sequencing (NGS) studies. Most of the identified genes related to CMT are encoded in nerval structures like axons or myelin and functionally involved in cytoskeleton network, membrane trafficking and myelination. Therefore, genes involved in cellular processes and biological functions concerning Schwann cells and axonal transport processes, are of high interest in so far genetically unsolved CMT patients [4].

In this study we performed a sequential approach for genetic testing, including a NGS multi gene panel with known CMT-genes and promising candidate genes, in a clinically well characterised CMT1-family. We identified a rare heterozygous missense variant in the SEPT9 gene, a gene previously described as a cause of hereditary neuralgic amyotrophy (HNA) when heterogeneously mutated [5]. SEPT9 is part of the SEPT3-group and encodes the ubiquitously expressed septin 9 protein, which belongs to the conserved septin family of GTPases involved in various cellular processes such as motility and cytokinesis [6]. Interestingly, septin 9 interacts with the cytoskeleton including microtubules and actin and thereby promotes asymmetric neurite outgrowth [7]. Here, we genetically and clinically present an association of a SEPT9 gene alteration to a distinct CMT phenotype and discuss potential effects on protein level.



We investigated a northern German CMT1-family with four affected members over three generations. The local ethics committee and all participants consented to the analysis. Three individuals could be enrolled (Fig. 1a).

Fig. 1
figure 1

a Pedigree chart of the family, arrows indicate subjects enrolled in this study. Electropherograms obtained by Sanger sequencing demonstrate the heterozygous missense variant SEPT9:c.1406 T > C, p.Val469Ala in subject II.3 and III.4, which was not detected in the healthy subject III.2. b Lower extremities of patient II.3; c lower extremities of patient III.4. d Results from neuropsychological assessment using the CERADplus test battery in patients II.3 and III.4. Dashed line: II.3 (2014); dotted line: II.3 (2015); solid line: III.4 (2016). z < − 2.0: severely affected; − 1.99 < z < − 1.50: mildly affected; − 1.49 < z < − 1.0: marginal affected; z ≥ − 1.0: unaffected. Visuo constructive abilities from II.3 could not be measured in 2015 due to severe motor dysfunctions. e MRI of patient II.3, T2 coronar

Index case II.3 underwent an extensive work-up including a thorough clinical evaluation, physical examination, nerve conduction studies, cranial magnetic resonance imaging (MRI), lumbar puncture, routine and specified blood tests. Cognition was assessed using the Montreal Cognitive Assessment (MOCA) [8] and additionally using the “Consortium to Establish a Registry for Alzheimer’s Disease” battery (CERADplus) [9].

Healthy subject III.2 and his affected brother III.4 were evaluated subsequently by neurological examinations, nerve conduction studies and neuropsychological testing, as described above. Individual III.4 was further assessed by cranial MRI.

Genetic testing

Deletions and Duplications in PMP22, MFN2 and MPZ were analysed by Multiplex ligation-dependent probe amplification (MLPA), performed on extracted DNA obtained from index patient II.3 whole blood sample. Subsequently, NGS was carried out in this subject at the CeGat-Institute, Tübingen, Germany, with a multi gene panel-based strategy including following genes known to be associated with or linked to hereditary neuropathy: AARS, ABHD12, AIFM1, ARHGEF10, ATL1, ATL3, BSCL2, C10ORF2, C12ORF65, CTDP1, DCAF8, DHTKD1, DNM2, DNMT1, DST, DYNC1H1, EGR2, FAM134B, FBLN5, FGD4, FIG4, GAN, GARS, GDAP1, GJB1, GNB4, HADHA, HADHB, HARS, HINT1, HK1, HOXD10, HSPB1, HSPB8, IFRD1, IGHMBP2, IKBKAP, INF2, KARS, KIF1A, KIF1B, KIF5A, LITAF, LMNA, LRSAM1, MARS, MED25, MFN2, MPZ, MTMR14, MTMR2, NDRG1, NEFL, NGF, NTRK1, OPA1, OPA2, PDHA1, PDK3, PLEKHG5, PMP22, POLG, PRPS1, PRX, RAB7A, REEP1, SBF1, SBF2, SCN9A, SEPT9, SH3TC2, SLC12A6, SOX10, SPTLC1, SPTLC2, SURF1, TFG, TRIM2, TRPV4, TTR, TYMP, WNK1, YARS. Only variants affecting coding exons or canonical splice sites were selected. Synonymous variants were filtered out. Since the CMT1-family in our study expose an autosomal dominant inheritance pattern only rare variants with a minor allele frequency (MAF) of < 0.1% in the European population, according to the global databases, ExAC Browser ( and gnomAD ( as well as an in-house database of the CeGat Institute, Tübingen, Germany, were considered. In silico predictions of the longest SEPT9 transcript ENST00000427177.6 (NM_006640) were taken from Alamut Visual software version 2.8® (Interactive Biosoftware) which combines different prediction programs (SIFT, Mutation Taster and PolyPhen) (Table 1). For further variant characterisation the Combined Annotation Dependent Depletion (CADD) score [11] and the American College of Medical Genetics (ACMG) criteria [10] were used. We verified and evaluated our identified variant for co-segregation with the phenotype in individuals III.2 and III.4 by Sanger sequencing (Fig. 1a).

Table 1 Rare heterozygous non-silent variant in the SEPT9 gene predicted to be deleterious identified in a german family with CMT


Clinical features

The index patient II.3, a then 55-years-old woman with a past medical history of breast cancer and B-cell non-Hodgkin lymphoma, presented with progressive muscular weakness and moderate sensory deficits, with an estimated symptom onset at 40 years. Neurological examination revealed bilateral pes cavus (Fig. 1b), intermittent postural tremor of the right upper extremity, distal muscle weakness, diminished deep tendon reflexes and hypesthesia of the lower extremities as well as severe gait ataxia. Furthermore, she complained of forgetfulness, impaired concentration and disorientation, first noted at the age of 53 years. Her nerve conduction studies were consistent with a primarily demyelinating motor and sensory polyneuropathy (Table 2). The initial neuropsychological assessment of II.3 yielded a MOCA score of 20/30, indicating the presence of cognitive deficits. The more comprehensive assessment with the CERADplus neuropsychological test battery revealed deficits mainly in visual constructive abilities (z = − 1.8), in verbal learning and memory (verbal learning, z = − 2.88; verbal recognition, z = − 4.05), and on both Trail Making Tests (Form A, z = − 2.25; Form B, z = − 3.01) (see also Fig. 1d; dashed line). Her estimated premorbid intelligence, as determined using a multiple-choice vocabulary intelligence test (MWT-B) [12] (raw score: 21), fell within the range of age-adjusted normal values, rendering it unlikely that the observed cognitive deficits were due to premorbid mental retardation. Cranial MRI revealed neither general nor regional atrophy nor white matter lesions (Fig. 1e). Blood tests and cerebrospinal fluid analysis did not show any pathological results, including normal results for Tau, pTau and Amyloid-β.

Table 2 Clinical and diagnostic characteristics of two SEPT9 variant carriers (II.3 and III.4) compared to an unaffected family member (II.2)

At follow-up 2 years later, the patient was dependent of walking aids and of legal guardianship for financial affairs. The initially observed pattern of cognitive deficits proved remarkably stable (see Fig. 1d; dotted line).

A second family subject, II.3 youngest son (III.4, *1983), exhibit almost similar symptoms: bilateral pes cavus (Fig. 1c), intermittent postural tremor of the left upper extremity, hypesthesia of the lower extremities and severe gait ataxia, while demonstrating an earlier age at onset approximately with 20 years, and a more severe primarily demyelinating sensory and motor neuropathy in nerve conduction studies (Table 2). Neuropsychological assessment of III.4 yielded a MOCA score of 23/30, and CERADplus scores indicating deficits in visual constructive abilities (z = − 3.71), and on the Trail Making Tests (Form A, z = − 1.71; Form B, z = − 2.34) (see also Fig. 1d). Like in his mother, his cranial MRI revealed no specific abnormality. His past medical history included substance abuse of tetrahydrocannabinol (THC).

Subject III.2, (*1979) second child of our index patient, was phenotypically healthy. No subclinical pathologies were found in either nerve conduction studies (Table 2) nor in the neuropsychological assessment (he scored 29/30 on the MOCA). Past medical history was unremarkable, besides past consumption of THC and temporary depressive disorder.

Unfortunately, additional family members were not available for clinical or genetic assessment. The family history, however, revealed more probably identically affected subjects: The index patient’s father (I.2; *1928; ✝1975) as well as one older brother (II.1; *1953; ✝1992) had suffered from polyneuropathy with bilateral pes cavus and cognitive deficits; Remarkably, the index patient’s twin brother (II.2; *1959) was reported to be phenotypically healthy. The index patient had two more children, one daughter (III.1; *1977), who had been diagnosed with early childhood cerebral palsy, and one further son (III.3; *1981), who was said to have no symptoms or signs of neuropathy.

Genetic analysis

Deletions or Duplications in PMP22, MFN2 and MPZ were excluded in our index case II.3. By targeted NGS and variant prioritization we identified a heterozygous single nucleotide change c.1406 T > C in exon 8 of the SEPT9 gene (GRCh37/hg19 chr17:75488782) resulting in the amino acid change p.(Val469Ala) which - to our best knowledge – have not been reported in clinical context so far (Fig. 2a). According to the databases mentioned above (gnomAD and ExAC), MAF of the identified SEPT9 variant was very low (0.02%) in the European (non-Finnish) population. The resulting p.(Val469Ala) substitution occurred at an evolutionarily conserved amino acid residue (Fig. 2b). In silico prediction analysis revealed pathogenicity in 2 out of 3 prediction tools (Table 1). The CADD score was 22.7 (CADD GRCh37-v1.4), indicating that the variant belongs to the top 1% of deleterious variants in the human genome [11]. In segregation analysis (subject III.2 and III.4) we found co-segregation of the distinct CMT1 phenotype, here III.4, with the SEPT9 variant. The variant was classified as “uncertain significance” (class 3, evidence of pathogenicity: PP1, PP2, PP3, PP4) based on ACMG guidelines [10].

Fig. 2
figure 2

a Schematic representation of the SEPT9 gene with the identified heterozygous variant c.1406 T > C in Exon 8 in CMT compared to HNA-associated variants in the 5’UTR, Exon 1 and Exon 2. (not drawn to scale). ENST00000427177.6. b Evolutionary conservation of Valin at position 469 in septin9. c Schematic domain structure of SEPT9 isoforms and their functional domains. Highlighted in red identified variant in this study, in blue known HNA linked variants. PB: polybasic region


In this study, we used a targeted NGS approach to investigate the genetic cause of a distinct CMT1-phenotype in a German family. We identified a novel rare heterozygous SEPT9 variant, c.1406 T > C, (p.Val469Ala) in an evolutionary conserved region, predicted to be pathogenic. The variant was confirmed to co-segregate with the CMT-phenotype within the family.

Heterozygous SEPT9 mutations have been linked to hereditary neuralgic amyotrophy (HNA), a rare autosomal dominant recurrent focal neuropathy, clinically characterized by acute episodes of brachial plexus neuropathy with muscle weakness and atrophy, preceded by severe pain [5]. Interestingly, phenotypic heterogeneity in HNA has been well documented, such as persisting non-recurrent neuropathy symptoms and involvement of the lumbosacral plexus [13]. Besides this, additional clinical features, mainly dysmorphic symptoms and even bilateral pes cavus, have been found in individuals with HNA [14], which is a hallmark clinical symptom of CMT neuropathy. Both affected individuals in this study demonstrate this clinical feature (Fig. 1b/c).

Electrophysiological studies in HNA show predominantly axonal damages, however demyelination patterns, largely present in our family, have been detected in HNA likewise [15]. SEPT9 is highly expressed in glia cells, including Schwann cells which form the myelin sheet in neuronal tissues. Remarkably, a previous histological study demonstrated minor onion bulb formations, a neuropathological hallmark of CMT1, in an HNA patient, suggestive of Schwann cell alterations [16].

The ubiquitously expressed septin 9 (SEPT9) is one of the 13 members of septins, a highly conserved family of GTP binding proteins that have been linked to a broad spectrum of cellular functions. Septins interact with the cytoskeleton, including actin, and function in processes such as cytokinesis, motility, and cell polarity. Other functions include angiogenesis and bacterial autophagy (for review see [6]). SEPT9 knockout in mice results in embryonic lethality [17]. Septins form oligomeric complexes, which can assemble into higher ordered structures such as filaments and rings. A well-known septin complex consists of alternating SEPT2/6/7/9-units [18].

The SEPT9 gene gives rise to at least eight different transcript variants generated by extensive alternative splicing of the N-terminal domain, which may have tissue-specific expression (Fig. 2c). However, all transcript variants maintain a highly conserved central region containing the polybasic domain (PB) preceding a GTP-binding domain (G-domain) [19].

Interestingly, previously identified missense mutations in HNA patients – namely c. 262C > T, p.(Arg88Trp); c.278C > T, p.(Ser93Phe); c.-131G > C (in 5’UTR) affect the N-terminal region. Hence, only a minority of septin9 isoforms are altered by these mutations [19] (Fig. 2c). In contrast, our identified variant c.1406 T > C, p.(Val469Ala), located in the C-terminal region, occurs in all known transcripts of SEPT9 (Fig. 2c). Therefore, a far more severe phenotype due to the involvement of multiple tissues, for instance the central nervous system (CNS), can be presumed.

To note, known genetic variants associated with cognitive impairment were not excluded in this family. However, due to similar cognitive deficits in the here identified SEPT9-variant carriers and the positive family history, cognitive deficits may be an additional clinical feature in the SEPT9-phenotype spectrum. Of interest, alterations of other members of the septin family have been associated with neurodegenerative disorders [20]: SEPT1–4 have been linked to Alzheimer’s disease while for SEPT5 an association to Parkinson’s disease has been reported [20]. Thus, one might speculate that the SEPT9 alteration could be associated with the cognitive changes in our current study. This hypothesis is further supported by the characteristic feature of septins to form oligomeric complexes [21]. Septin-septin interactions are formed by oligomerization of two neighbouring G-domains. The identified Substitution p.(Val469Ala) in this study is situated within the functionally relevant (G-domain) (Fig. 2c). By an alanine-for-valine substitution in this binding domain, essential protein-protein interactions and functions may be disturbed, particularly as valine unlike alanine contains two non-hydrogen substituents attached to their c-beta carbon [22]. Due to the location of p.(Val469Ala) in a central domain of the protein and the potential demolishing impact on oligomerisation we suppose a rather loss of function effect. Further studies are needed to confirm this hypothesis.


We identified a novel rare heterozygous SEPT9 gene variant in a family demonstrating a distinct CMT1 phenotype with overlapping clinical features to SEPT9 associated HNA and suggest a potential relevant functional implication on protein level. Thus, SEPT9 alterations may be considered as a genetic risk-factor in CMT1. However, future clinical and functional studies are needed to elucidate the pathogenic relevance.

Availability of data and materials

The identified variant in this study has been submitted to the ClinVar database at NCBI archives (ID: SCV001156521; All data generated or analysed during this study are included in this published article.



American College of Medical Genetics


Combined Annotation Dependent Depletion


Consortium to Establish a Registry for Alzheimer’s Disease battery


Compound muscle action potential


Charcot-Marie-Tooth disease


Distal latency


Deep tendon reflexes




Hereditary motor and sensory neuropathy


Hereditary neuralgic amyotrophy 1


Lower limbs




Motor nerve conduction velocity


Montreal cognitive assessment


Magnetic resonance imaging


Not applicable


No response


Polybasic region


Sensory conduction velocity


Sensory nerve action potential




Upper limbs


  1. Werheid F, Azzedine H, Zwerenz E, Bozkurt A, Moeller MJ, Lin L, et al. Underestimated associated features in CMT neuropathies: clinical indicators for the causative gene? Brain Behav. 2016;6(4):e00451.

    Article  Google Scholar 

  2. Mathis S, Goizet C, Tazir M, Magdelaine C, Lia A, Magy L, et al. Charcot–Marie–Tooth diseases: an update and some new proposals for the classification. J Med Genet. 2015;52(10):681–90.

    Article  Google Scholar 

  3. Saporta AS, Sottile SL, Miller LJ, Feely SM, Siskind CE, Shy ME. Charcot-Marie-Tooth disease subtypes and genetic testing strategies. Ann Neurol. 2011;69(1):22–33.

    Article  Google Scholar 

  4. Azzedine H, Senderek J, Rivolta C, Chrast R. Molecular genetics of charcot-marie-tooth disease: from genes to genomes. Mol Syndromol. 2012;3(5):204–14.

    CAS  PubMed  PubMed Central  Google Scholar 

  5. Kuhlenbaumer G, Hannibal MC, Nelis E, Schirmacher A, Verpoorten N, Meuleman J, et al. Mutations in SEPT9 cause hereditary neuralgic amyotrophy. Nat Genet. 2005;37(10):1044–6.

    Article  Google Scholar 

  6. Mostowy S, Cossart P. Septins: the fourth component of the cytoskeleton. Nat Rev Mol Cell Biol. 2012;13(3):183–94.

    Article  CAS  Google Scholar 

  7. Bai X, Bowen JR, Knox TK, Zhou K, Pendziwiat M, Kuhlenbaumer G, et al. Novel septin 9 repeat motifs altered in neuralgic amyotrophy bind and bundle microtubules. J Cell Biol. 2013;203(6):895–905.

    Article  CAS  Google Scholar 

  8. Nasreddine ZS, Phillips NA, Bedirian V, Charbonneau S, Whitehead V, Collin I, et al. The Montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53(4):695–9.

    Article  Google Scholar 

  9. Ehrensperger MM, Berres M, Taylor KI, Monsch AU. Early detection of Alzheimer’s disease with a total score of the German CERAD. J Int Neuropsychol Soc. 2010;16(5):910–20.

    Article  Google Scholar 

  10. Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. 2015;17(5):405–24.

    Article  Google Scholar 

  11. Kircher M, Witten DM, Jain P, O’Roak BJ, Cooper GM, Shendure J. A general framework for estimating the relative pathogenicity of human genetic variants. Nat Genet. 2014;46(3):310–5.

    Article  CAS  Google Scholar 

  12. Lehrl S, Triebig G, Fischer B. Multiple choice vocabulary test MWT as a valid and short test to estimate premorbid intelligence. Acta Neurol Scand. 1995;91(5):335–45.

    Article  CAS  Google Scholar 

  13. van Alfen N, van Engelen BG. The clinical spectrum of neuralgic amyotrophy in 246 cases. Brain. 2006;129(Pt 2):438–50.

    Article  Google Scholar 

  14. van Alfen N, van Engelen BG, Reinders JW, Kremer H, Gabreels FJ. The natural history of hereditary neuralgic amyotrophy in the Dutch population: two distinct types? Brain. 2000;123(Pt 4):718–23.

    Article  Google Scholar 

  15. Ueda M, Kawamura N, Tateishi T, Sakae N, Motomura K, Ohyagi Y, et al. Phenotypic spectrum of hereditary neuralgic amyotrophy caused by the SEPT9 R88W mutation. J Neurol Neurosurg Psychiatry. 2010;81(1):94–6.

    Article  CAS  Google Scholar 

  16. Klein CJ, Dyck PJ, Friedenberg SM, Burns TM, Windebank AJ, Dyck PJ. Inflammation and neuropathic attacks in hereditary brachial plexus neuropathy. J Neurol Neurosurg Psychiatry. 2002;73(1):45–50.

    Article  CAS  Google Scholar 

  17. Fuchtbauer A, Lassen LB, Jensen AB, Howard J, Quiroga Ade S, Warming S, et al. Septin9 is involved in septin filament formation and cellular stability. Biol Chem. 2011;392(8–9):769–77.

    Article  CAS  Google Scholar 

  18. Estey MP, Kim MS, Trimble WS. Septins. Curr Biol. 2011;21(10):384.

    Article  Google Scholar 

  19. Landsverk ML, Ruzzo EK, Mefford HC, Buysse K, Buchan JG, Eichler EE, et al. Duplication within the SEPT9 gene associated with a founder effect in north American families with hereditary neuralgic amyotrophy. Hum Mol Genet. 2009;18(7):1200–8.

    Article  CAS  Google Scholar 

  20. Peterson EA, Petty EM. Conquering the complex world of human septins: implications for health and disease. Clin Genet. 2010;77(6):511–24.

    Article  CAS  Google Scholar 

  21. Neubauer K, Zieger B. The mammalian septin interactome. Front Cell Dev Biol. 2017;5:3.

    Article  Google Scholar 

  22. Betts MJ, Russell RB. Amino acid properties and consequences of substitutions. Bioinform Genet. 2003;317:289–316.

    Article  Google Scholar 

Download references


We are grateful to the family for participating in this study.


GMG and AO were supported by PRACTIS – Clinician Scientist Program of Hannover Medical School, funded by the German Research Foundation (DFG, ME 3696/3–1).

Author information

Authors and Affiliations



GMG: conception, analyses, clinical evaluation, interpretation, drafting the manuscript; CB: genetic analyses, interpretation, revising the manuscript, BK: neuropsychological tests, analyses, interpretation, revising the manuscript, CS: conception, analyses, interpretation, drafting the manuscript. AO: conception, genetic analyses, interpretation, drafting the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Gerrit M. Grosse.

Ethics declarations

Ethics approval and consent to participate

The patients gave written consent for participating. The ethics committee at Hannover Medical School consented to the publication.

Consent for publication

The patients gave written consent for publishing.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Grosse, G., Bauer, C., Kopp, B. et al. Identification of a rare SEPT9 variant in a family with autosomal dominant Charcot-Marie-Tooth disease. BMC Med Genet 21, 45 (2020).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: