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Annals of Indian Academy of Neurology logoLink to Annals of Indian Academy of Neurology
. 2022 Jun 14;25(3):407–416. doi: 10.4103/aian.aian_269_22

Genetic Spectrum of Inherited Neuropathies in India

Shivani Sharma 1, Periyasamy Govindaraj 3, Yasha T Chickabasaviah 1, Ramesh Siram 1, Akhilesh Shroti 1, Doniparthi V Seshagiri 1, Monojit Debnath 2, Parayil S Bindu 1, Arun B Taly 1, Madhu Nagappa 1,
PMCID: PMC9350795  PMID: 35936615

Abstract

Background and Objectives:

Charcot-Marie-Tooth (CMT) disease is the commonest inherited neuromuscular disorder and has heterogeneous manifestations. Data regarding genetic basis of CMT from India is limited. This study aims to report the variations by using high throughput sequencing in Indian CMT cohort.

Methods:

Fifty-five probands (M:F 29:26) with suspected inherited neuropathy underwent genetic testing (whole exome: 31, clinical exome: 17 and targeted panel: 7). Their clinical and genetic data were analysed.

Results:

Age at onset ranged from infancy to 54 years. Clinical features included early-onset neuropathy (n=23), skeletal deformities (n=45), impaired vision (n=8), impaired hearing (n=6), facial palsy (n=8), thickened nerves (n=4), impaired cognition (n=5), seizures (n=5), pyramidal signs (n=7), ataxia (n=8) and vocal cord palsy, slow tongue movements and psychosis in one patient each. Twenty-eight patients had demyelinating electrophysiology. Abnormal visual and auditory evoked potentials were noted in 60.60% and 37.5% respectively. Sixty two variants were identified in 37 genes including variants of uncertain significance (n=34) and novel variants (n=45). Eleven patients had additional variations in genes implicated in CMTs/ other neurological disorders. Ten patients did not have variations in neuropathy associated genes, but had variations in genes implicated in other neurological disorders. In seven patients, no variations were detected.

Conclusion:

In this single centre cohort study from India, genetic diagnosis could be established in 87% of patients with inherited neuropathy. The identified spectrum of genetic variations adds to the pool of existing data and provides a platform for validation studies in cell culture or animal model systems.

Keywords: Charcot-Marie-Tooth Disease, genetic modifiers, MFN2, next-generation sequencing, novel variations, SH3TC2

INTRODUCTION

Inherited neuropathies are a heterogeneous group of diseases that predominantly affect the peripheral nerves but may be associated with other features such as spasticity, ataxia, global developmental delay, etc., resulting in complex syndromes.[1] These are slow-progressive disorders characterized by distal symmetrical weakness of the limbs, hypo/areflexia, and skeletal deformities that are more pronounced in the lower limbs.[2,3] They commonly begin in the first two decades of life, cause progressive disability, and impair quality of life.[4,5] They are broadly categorized on the basis of electrophysiological studies as: (a) demyelinating with predominant involvement of peripheral myelin wherein nerve conduction velocities are reduced, and (ii) axonal with predominant involvement of peripheral nerve axons wherein amplitudes of compound muscle action potentials are reduced with normal or slightly reduced nerve conduction velocities.

Among the inherited neuropathies, the hereditary motor and sensory neuropathies (HMSNs) or Charcot-Marie-Tooth diseases (CMTs) constitute the most frequent genetically determined neuromuscular disorders.[6] They are caused by mutations in genes encoding proteins involved in different peripheral nerve functions such as maintenance and compaction of myelin in Schwann cells, axonal transport, as well as mitochondrial metabolism and dynamics.[7] Progress in the field of genomics with the advent of the next generation sequencing (NGS) technology has led to the identification of a number of genes involved in various subtypes of CMTs in different ethnic groups across the globe.[3,8,9,10] Identifying the molecular genetic abnormality establishes the diagnosis as well as aids in the treatment and reproductive planning.

India is a home to about one-sixth of the world population which is ethnically diverse, and has a distinct genetic landscape. Hospital based audits suggest that hereditary neuropathies account for 4.8% of all neuropathies.[11] Data on genetics of CMTs from India are rather limited.[12,13] This study is aimed to identify variants in disease-associated genes using high throughput sequencing in a cohort of CMT from India.

PATIENTS AND METHODS

This study was carried out at the National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India. Probands were recruited from a single neurology unit between March 2017 and February 2020, after obtaining written informed consent. They included subjects with chronic progressive sensorimotor neuropathy of suspected genetic etiology who did not have evidence of alternative etiologies such as acquired, autoimmune, or metabolic causes. Patients with duplication or point mutations in the PMP22 gene were published earlier and have not been included in the present study.[13] The clinical data included age, gender, symptom–duration, type of neuropathy, and sites of neuraxis affected. The functional/ambulatory status of the patients was objectively quantified using the CMT neuropathy score (CMTNS) and the modified Rankin Score (mRS).[14,15] Nerve conduction studies were carried out using standard protocols at a laboratory temperature of 32–34°C (Neuropack S1 MEB-9400K, Nihon Kohden Corporation, Tokyo, Japan). Three motor nerves (median, ulnar, and common peroneal nerves) and three sensory nerves (median, ulnar, and sural nerves) were examined. Conduction blocks were considered if the ratio of the amplitudes of compound muscle action potentials following proximal and distal stimulation was <0.5, provided the distal amplitude was at least 20% of the lower limit of normal.[16] Recordings of evoked potentials to visual and auditory stimuli were carried out wherever possible. The study was approved by the Institute Ethics Committee of NIMHANS.

Genomic DNA was extracted using standard phenol–chloroform method from about 6 mL of peripheral blood collected in an ethylenediaminetetraacetic acid (EDTA)-coated vacutainer. Genetic analysis was carried out using NGS (whole exome: 31, clinical exome: 17, and targeted panel: 7). The libraries were prepared, followed by enrichment as per manufacturer's instruction for sequencing with 80-100X denotes the coverage of the exonic regions. The sequences obtained were aligned to the human reference genome (GRCh37/hg19) and analyzed using Sentieon for removing duplicates, recalibration, and re-alignment of indels. Sentieon haplotype caller was used to identify variants relevant to the clinical phenotype.[17] Common variants were filtered based on allele frequency in 1000Genome Phase 3, ExAC (v1.0), gnomAD (bv2.1), EVS, dbSNP (v151), and 1000 Japanese Genome.[18,19,20,21] The identified variants were interpreted based on the recommendations of American College of Medical Genetics and Genomics (ACMG).[22] The pathogenicity of the identified variants was predicted using multiple tools namely PolyPhen-2, sorting intolerant from tolerant (SIFT), and mutation taster. The data were entered in a predesigned proforma and incorporated into a Microsoft Excel Spreadsheet for analysis.

RESULTS

The current cohort comprised of 55 patients. The age at evaluation ranged from 2 to 72 years. The clinical and electrophysiological characteristics of patients are summarized in Table 1. In the present study, 62 variants were identified in 37 genes in these 55 probands. They included pathogenic/likely pathogenic variants (n = 28) and variants of uncertain significance (n = 34). There were 17 reported and 45 novel variants. Of these, eight patients had variants in more than one gene (MFN2+SBF, SH3TC2+AARS, SH3TC2+JPH 1, SH3TC2+UBQLN2, FGD4+WNK1, MARS+SBF2, MPZ+DNMT1, and GARS+GAN) implicated in the neuropathy phenotype. Three patients had additional variants in genes that so far have not been associated with neuropathy (DCTN1+BLK, IGHMBP2+SLC12A6, and MFN2+VPS13D). Ten patients did not have variants in neuropathy associated genes, but had variants in genes such as ATM, SETX, COX15, MPV17, OPA1, SACS, C10ORF2, APOB, and CDH23 which are implicated in other neurological disorders. In seven patients, no variants were detected [Tables 2 and 3]. In silico analysis showed that the detected variants were damaging [Supplementary Table 1].

Table 1.

Clinical and electrophysiological characteristics of the current cohort of inherited neuropathy (N=55)

Parameter Observed value
Males:Females 29:26
Age at evaluation 2-72 years.
Children (≤18 years) 25
Age at onset Infancy to 54 years
Early onset neuropathy (onset ≤10 years) 23
Consanguineous parents 16
Positive family history 22
Developmental delay 9
 Global delay 3
 Motor delay 6
Skeletal deformities
 Pes cavus 38
 Hammer toes 30
 Clawed fingers 19
 Kyphoscoliosis 5
 Pes planus 2
Dyschromatosis universalis hereditaria 1
Impaired vision 8
Ocular abnormalities 7
 Optic atrophy 6
 Retinitis pigmentosa 1
 Cataract 1
 Sensorineural hearing impairment 8
Facial palsy 8
Vocal cord palsy 1
Slow tongue movements 1
Thickened nerves 4
Intellectual disability or cognitive decline 5
Psychosis 1
Seizures 4
Pyramidal involvement 7
Ataxia 8
 Cerebellar 4
 Sensory 2
 Mixed 2
Functional rating scales
 CMT neuropathy score (mean±SD) 15.48±6.9
 Modified Rankin score (mean±SD) 2.66±1.0
Electrophysiological tests
 Demyelinating neuropathy (conduction velocity of ulnar nerve <38 m/sec) 26
 Conduction blocks 7
 Abnormal visual evoked potentials* 20**
  Prolonged P100 latency 18
  Absent waveforms 2
 Abnormal brainstem auditory evoked responses* 11***
  All waveforms absent 5
  Only waves I and III present 1
  Only wave V present 5

*Testing for visual evoked potentials and brainstem auditory evoked responses was carried out in 33 patients. **Seven of these patients with abnormal visual evoked potentials were symptomatic for impaired vision. ***Six of these patients with abnormal brainstem auditory evoked responses were symptomatic for impaired hearing

Table 2.

Summary of genetic analysis of patients with inherited neuropathy included in the present cohort

Parameter Number
Total number of genes identified with variations 37
Total number of variants 62
 Missense 46
 Intronic 1
 Insertion 0
 Deletions 1
 Frameshift 8
 Nonsense 4
 Splice site 2
Zygosity
 Homozygous (pathogenic/likely pathogenic/VUS) 23 (6/6/11)
 Heterozygous (pathogenic/likely pathogenic/VUS) 36 (4/9/23)
 Hemizygous (pathogenic/likely pathogenic/VUS) 3 (1/2/0)
Genes involved in patients with early onset neuropathy APOB, C10ORF2, CDH23, COX6A1, FGD4, GDAP1, HK, HSPB8, IGHMBP2, JPH1, MTMR2, OPA1, SBF1, SLC12A6, UBQLN2, WNK1
Genes involved in patients with late onset neuropathy AARS, ATM, BLK, COX15, DCTN1, DNMT1, GARS, LRSAM1, MARS, MME, MPV17, MPZ, NAGLU, SACS, SETX, VPS13D
Genes involved in patients with early and late onset neuropathy GAN, GJB1, MFN2, SBF2, SH3TC2
Genes involved in patients with axonal neuropathy APOB, BLK, C10ORF2, CDH23, COX15, COX6A1, DCTN1, GDAP1, LRSAM1, MME, MPV17, MTMR2, SBF1, VPS13D
Genes involved in patients with demyelinating neuropathy AARS, ATM, DNMT1, FGD4, GAN, GARS, GJB1, HK, HSPB8, IGHMBP2, JPH1, MPZ, NAGLU, OPA1, SACS, SBF2, SH3TC2, SLC12A6, UBQLN2
Genes involved in patients with axonal and demyelinating neuropathy MARS, MFN2, SETX, WNK1

Table 3.

Genetic abnormalities identified in the present cohort of patients with inherited neuropathies (n=55)

Patient No Clinical phenotype in addition to neuropathy Demyelinating electrophysiology Gene Disease associated with genetic variant Nucleotide change/Amino acid change/Zygosity Inheritance Classification Reference rsID
1 Facial weakness, pyramidal signs No MFN2 CMT2A c. 281G>A/p.Arg94Gln/2Het AD Pathogenic Reported[23] rs28940291
2 Thickened nerves No MFN2 CMT2A c. 605G>A/p.Gly202Asp/Het AD Likely pathogenic Novel Not available
VPS13D Spinocerebellar ataxia 4 c. 3005G>A/p.Gly1002Asp/Het AR VUS Novel Not available
3 Mild SNHL No MFN2 CMT2A c. 281G>A/p.Arg94Gln/Het AD Pathogenic Reported[23] rs28940291
4 Seizures, intellectual disability, pyramidal signs No MFN2 CMT2A c. 833T>C/p.Met278Thr/Het AD Likely pathogenic Novel Not available
5 - No MFN2 CMT2A c. 371C>T/p.Ser124Phe/Homo AR Likely pathogenic Novel Not available
6 - No MFN2 CMT2A c. 334G>A/p.Val112Met/Homo AR Likely pathogenic Novel rs757937208
7 Pyramidal signs No MFN2 CMT2A c. 334G>A/p.Val112Met/Homo AR Likely pathogenic Novel rs757937208
8 - No MFN2 CMT2A c. 310C>T/p.Arg104Trp/Het AD Pathogenic Reported[24] rs119103268
9 - No MFN2 CMT2A c. 752C>G/p.Pro251Arg/Het AD Likely pathogenic Reported[23] rs1557525153
SBF1 CMT 4B3 c. 2335C>G/p.Leu779Val/Het AR VUS Novel Not available
10 - Yes SH3TC2 CMT4C, mild mononeuropathy of median nerve c. 1105C>T/p.Arg369Cys/Het AR/AD VUS Novel rs569974719
AARS CMT2 c. 2053G>A/p.Val685Met/Het AD VUS Novel Not available
11 - Yes SH3TC2 CMT4C, mild mononeuropathy of median nerve c. 1412del/p.Leu471TrpfsTer53/Homo AR Pathogenic Novel Not available
JPH1 CMT 2K c. 803C>T/p.Pro268Leu/Het AR/AD VUS Novel rs756049890
12 Moderate SNHL, cerebellar and sensory ataxia Yes SH3TC2 CMT4C, mild mononeuropathy of median nerve c. 3152G>A/p.Gly1051Glu/Homo AR VUS Novel Not available
UBQLN2 ALS-15 with or without frontotemporal dementia c. 1573C>T/p.Pro525Ser/Het X-linked VUS Reported[25] rs369947678
13 Facial weakness Yes SH3TC2 CMT4C, mild mononeuropathy of median nerve c. 69del/p.Lys24ArgfsTer10/Homo AR Pathogenic Novel Not available
14 Thickened nerves Yes SH3TC2 CMT4C, mild mononeuropathy of median nerve c. 3511C>T/p.Arg1171Cys/Het AR/AD Likely pathogenic Reported[26] rs759785462
SH3TC2 CMT4C, mild mononeuropathy of median nerve c. 2028G>C/p.Leu676Phe/Het AR/AD VUS Novel Not available
SH3TC2 CMT4C, mild mononeuropathy of median nerve c. 254A>T/p.Asp85Val/Het AR/AD VUS Novel Not available
15 - Yes GJB1 CMT1, HNPP c. 548G>A/p.Arg183His/Het X-linked Pathogenic Reported[27] rs1555937233
16 - Yes GJB1 CMT1 c. 65G>A/p.Arg22Gln/Hemi X-linked Likely pathogenic Reported[28] rs1060501002
17 - Yes GJB1 CMT1 c. 217del/p.His73MetfsTer11/Hemi X-linked Pathogenic Reported[29] Not available
18 - Yes GJB1 CMT1 c. 77C>T/p.Ser26Leu/Hemi X-linked Likely pathogenic Reported[30] rs587777876
19 Facial weakness Yes FGD4 CMT4H c. 1062_1063insT/p.Tyr355LeufsTer2/Homo AR Likely pathogenic Novel Not available
WNK1 HSAN2, pseudohypoaldosteronism type 2 c. 7526C>A/p.Ser2509Tyr/Homo AD/AR VUS Novel Not available
20 - Yes WNK1 HSAN2, pseudohypoaldosteronism type 2 c. 2500G>A/p.Gly834Arg/Het AD/AR VUS Novel Not available
WNK1 HSAN2, pseudohypoaldosteronism type 2 c. 4501+96C>A/Nil/Het AD/AR VUS Novel Not available
21 - No GDAP1 CMT 2K c. 197C>G/p.Pro66Arg/Het AR/AD VUS Novel Not available
22 - No GDAP1 CMT 2K c. 431C>T/p.Pro144Leu/Het AR/AD Likely pathogenic Novel rs786205591
23 Slow tongue movements, cerebellar ataxia No SETX Spinocerebellar ataxia-1, spinocerebellar ataxia with axonal neuropathy 2, ataxia with oculomotor apraxia, Juvenile AlS-4 c. 3127_3128insA/p.Arg1043fs/Homo AR Likely pathogenic Novel Not available
24 Facial weakness Yes SETX Spinocerebellar ataxia-1, spinocerebellar ataxia with axonal neuropathy 2, ataxia with oculomotor apraxia, juvenile AlS-4 c. 7195A>T/p.Ile2399Phe/Homo AR VUS Novel Not available
25 - Yes ATM Ataxia telangiectasia c. 4852C>T/p.Arg1618Ter/Het AR VUS Novel Not available
ATM Ataxia telangiectasia c. 6899G>T/p.Trp2300Leu/Het AR VUS Novel Not available
26 OA, moderate SNHL, cerebellar ataxia, psychosis No MARS CMT2U c. 918_919del/p.Tyr307SerfsTer6/Het AD VUS Novel Not available
27 - Yes MARS CMT2U c. 2209C>T/p.Arg737Trp/Het AD Likely pathogenic Reported[31] Not available
SBF2 CMT4B c. 3110G>A/p.Arg1037His/Homo AR VUS Novel Not available
28 Cognitive decline, thickened nerves Yes SBF2 CMT4B c. 5345_5354del/p.Asp1782ValfsTer10/Homo AR Pathogenic Novel Not available
29 - No MME CMT2T c. 1270G>A/p.Gly424Arg/Homo AR VUS Novel Not available
30 - Yes MPZ CMT1B, CMT2J, CMT 2I, CMT with hearing loss and pupillary abnormalities c. 223G>T/p.Asp75Tyr/Het AD VUS Novel Not available
31 Facial weakness, moderate SNHL Yes MPZ CMT 1B c. 207_212delGCCCGA/p.Pro70_Glu71del/Het AD VUS Novel Not available
DNMT1 HSAN 1E, AD cerebellar ataxia, CMT c. 1018G>A/p.Ala340Thr/Het AD VUS Novel rs529074384
32 Cognitive decline, thickened nerves No LRSAM1 CMT 2P c. 2120C>T/p.Pro707Leu/Het AD Likely pathogenic Novel rs797044913
LRSAM1 CMT 2P c. 49C>T/p.Arg17Cys/Het AD VUS Novel rs368646898
33 - No DCTN1 dHMN VIIB, Perry syndrome, ALS c. 3746C>T/p.Thr1249Ile/Het AD Likely pathogenic Reported[32] rs72466496
BLK Maturity onset diabetes of young type 11, systemic scleroderma, rheumatoid arthritis c. 211G>A/p.Ala71Thr/Het AD VUS Reported[33] rs55758736
34 - No COX15 Leigh syndrome due to cytochrome c oxidase deficiency c. 520G>A/p.Gly174Ser/Homo AR Likely pathogenic Novel rs763842058
35 Pyramidal signs No COX6A1 Intermediate CMTD c. 247-7_247-3del (3’ proximal splice site)/Homo AR Pathogenic Reported[34] rs587777783
36 Facial weakness Yes GARS CMT 2D, dHMN VA c. 1172G>A/p.Arg391His/Het AD VUS Novel rs370057212
GAN Giant axonal neuropathy 1 c. 944C>G/p.Pro315Arg/Het AR VUS Reported[35] rs144486241
37 - Yes GAN Giant axonal neuropathy 1 c. 444C>G/p.His148Gln/Homo AR VUS Novel Not available
38 Intellectual disability, facial weakness, seizures Yes HK Russe type of HMSN c. 19C>T/p.Arg7Ter/Homo AR Pathogenic Novel rs779250530
39 Sensory ataxia, pyramidal signs No IGHMBP2 CMT2S, AR distal SMA1, dHMN c. 1523C>T/p.Ser508Leu/Homo AR Likely pathogenic Reported[36] rs754465226
SLC12A6 Hartnup disease, Andermann syndrome c. 1625T>C/p.Ile542Thr/Homo AR VUS Novel Not available
40 - No MPV17 Mitochondrial DNA depletion syndrome-6 c. 280G>T/p.Gly94Trp/Homo AR VUS Novel Not available
41 Facial weakness, vocal cord palsy No MTMR2 CMT4B c. 484C>T/p.Arg162Ter/Homo AR Pathogenic Novel rs756723587
42 - Yes NAGLU CMT2V c. 325C>T/p.Arg109Cys/Het AD VUS Novel Not available
43 OA, RP, cataract, cerebellar ataxia No OPA1 Optic atrophy plus syndrome c. 1045C>T/p.Arg349ter/Het AD Pathogenic Novel Not available
44 Mild SNHL Yes SACS Spastic ataxia of Charlevoix-Saguenay type c. 8980C>T/p.Pro2994Ser/Homo AR VUS Novel Not available
45 Severe SNHL, sensory ataxia No C10ORF2 Mitochondrial DNA depletion syndrome-7 c. 876delT/p.Ala293ProfsTer33/Het AR Likely pathogenic Novel rs772683219
46 Pyramidal signs Yes HSPB8 CMT 2L, dHMN c. 71C>T/p.Ser24Phe/Het AD VUS Novel rs781475312
47 OA, seizures, cerebellar ataxia No APOB Familial hypercholesterolemia, familial hypobetalipoproteinemia c. 13441G>A/p.Ala4481Thr/Homo AR VUS Reported[37] rs1801695
48 OA, severe SNHL No CDH23 Usher syndrome, non-syndromic hearing loss, age-related hearing loss c. 1589-7C>T/Homo AR Novel Not available
49 - Yes Nil
50 - No Nil
51 Pyramidal signs No Nil
52 - Yes Nil
53 Mild SNHL, seizures Yes Nil
54 OA No Nil
55 Cognitive decline, OA, cerebellar and sensory ataxia No Nil

AD: Autosomal dominant, ALS: Amyotrophic lateral sclerosis, AR: Autosomal recessive, dHMN: distal hereditary motor neuronopathy, Hemi: hemizygous, Het: heterozygous, HNPP: hereditary europathy with liability to pressure Palsy, Homo: Homozygous, HSAN: Hereditary sensory autonomic neuropathy

Supplementary Table 1.

In silico prediction of the pathogenicity of the identified variants

Patient No Gene Nucleotide change/Amino acid change Zygosity ACMG Classification SIFT Polyphen2 LRT Mutation taster
1 MFN2 c. 281G>A/p.Arg94Gln Het Pathogenic Affect protein function Probably damaging Damaging Damaging
2 MFN2 c. 605G>A/p.Gly202Asp Het Likely pathogenic Affect protein function Probably damaging Damaging Damaging
VPS13D c. 3005G>A/p.Gly1002Asp Het VUS Affect protein function - - Damaging
3 MFN2 c. 281G>A/p.Arg94Gln Het Pathogenic Affect protein function Probably damaging Damaging Damaging
4 MFN2 c. 833T>C/p.Met278Thr Het Likely pathogenic Tolerated Benign Damaging Damaging
5 MFN2 c. 371C>T/p.Ser124Phe Homo Likely pathogenic Affect protein function Probably damaging Damaging Damaging
6 MFN2 c. 334G>A/p.Val112Met Homo Likely pathogenic Affect protein function Probably damaging Damaging Damaging
7 MFN2 c. 334G>A/p.Val112Met Homo Likely pathogenic Affect protein function Probably damaging Damaging Damaging
8 MFN2 c. 310C>T/p.Arg104Trp Het Pathogenic Affect protein function Probably damaging Damaging Damaging
9 MFN2 c. 752C>G/p.Pro251Arg Het Likely pathogenic Affect protein function Probably damaging Damaging Damaging
SBF1 c. 2335C>G/p.Leu779Val Het VUS Affect protein function Possibly damaging Damaging Damaging
10 SH3TC2 c. 1105C>T/p.Arg369Cys Het VUS Tolerated Possibly damaging - Damaging
AARS c. 2053G>A/p.Val685Met Het VUS Tolerated - Damaging Damaging
11 SH3TC2 c. 1412del/p.Leu471TrpfsTer53 Homo Pathogenic - - - Damaging
JPH 1 c. 803C>T/p.Pro268Leu Het VUS Tolerated Benign Damaging Damaging
12 SH3TC2 c. 3152G>A/p.Gly1051Glu Homo VUS Affect protein function Probably damaging Damaging Damaging
UBQLN2 c. 1573C>T/p.Pro525Ser Het VUS Tolerated Benign - Damaging
13 SH3TC2 c. 69del/p.Lys24ArgfsTer10 Homo Pathogenic - - - Damaging
14 SH3TC2 c. 3511C>T/p.Arg1171Cys Het Likely pathogenic Affect protein function Probably damaging Damaging Damaging
SH3TC2 c. 2028G>C/p.Leu676Phe Het VUS Affect protein function Probably damaging Damaging Damaging
SH3TC2 c. 254A>T/p.Asp85Val Het VUS Tolerated Possibly damaging - Damaging
15 GJB1 c. 548G>A/p.Arg183His Het Pathogenic Affect protein function Probably damaging Damaging Damaging
16 GJB1 c. 65G>A/p.Arg22Gln Hemi Likely pathogenic Affect protein function Possibly damaging Damaging Damaging
17 GJB1 c. 217del/p.His73MetfsTer11 Hemi Pathogenic - - - Damaging
18 GJB1 c. 77C>T/p.Ser26Leu Hemi Likely pathogenic Affect protein function Probably damaging Damaging Damaging
19 FGD4 c. 1062_1063insT/p.Tyr355LeufsTer2 Homo Likely pathogenic - - - -
WNK1 c. 7526C>A/p.Ser2509Tyr Homo VUS - - - -
20 WNK1 c. 2500G>A/p.Gly834Arg Het VUS - Damaging - -
WNK1 c. 4501+96C>A/Nil Het VUS - - - -
21 GDAP1 c. 197C>G/p.Pro66Arg Het VUS Affect protein function - - -
22 GDAP1 c. 431C>T/p.Pro144Leu Het Likely pathogenic Affect protein function - - -
23 SETX c. 3127_3128insA/p.Arg1043fs Homo Likely pathogenic - - - -
24 SETX c. 7195A>T/p.Ile2399Phe Homo VUS Affect protein function Possibly damaging Damaging Damaging
25 ATM c. 4852C>T/p.Arg1618Ter Het VUS - - - -
ATM c. 6899G>T/p.Trp2300Leu Het VUS Tolerated - - -
26 MARS c. 918_919del/p.Tyr307SerfsTer6 Het VUS - - - Damaging
27 MARS c. 2209C>T/p.Arg737Trp Het Likely pathogenic Affect protein function Possibly damaging Damaging Damaging
SBF2 c. 3110G>A/p.Arg1037His Homo VUS Affect protein function Possibly damaging Damaging Damaging
28 SBF2 c. 5345_5354del/p.Asp1782ValfsTer10 Homo Pathogenic - - - Damaging
29 MME c. 1270G>A/p.Gly424Arg Homo VUS Affect protein function Probably damaging Damaging Damaging
30 MPZ c. 223G>T/p.Asp75Tyr Het VUS Affect protein function Probably damaging Damaging Damaging
31 MPZ c. 207_212delGCCCGA/p.Pro70_Glu71del Het VUS - - - -
DNMT1 c. 1018G>A/p.Ala340Thr Het VUS Tolerated Benign Benign Benign
32 LRSAM1 c. 2120C>T/p.Pro707Leu Het Likely pathogenic Affect protein function Probably damaging Damaging Damaging
LRSAM1 c. 49C>T/p.Arg17Cys Het VUS Affect protein function Probably damaging Damaging Damaging
33 DCTN1 c. 3746C>T/p.Thr1249Ile Het Likely pathogenic Affect protein function - - Damaging
BLK c. 211G>A/p.Ala71Thr Het VUS - Possibly damaging - -
34 COX15 c. 520G>A/p.Gly174Ser Homo Likely pathogenic Tolerated Probably damaging Damaging Damaging
35 COX6A1 c. 247-7_247-3del (3’ proximal splice site) Homo Pathogenic - - - Damaging
36 GARS c. 1172G>A/p.Arg391His Het VUS Tolerated Possibly damaging Damaging Damaging
GAN c. 944C>G/p.Pro315Arg Het VUS Tolerated Benign - Damaging
37 GAN c. 444C>G/p.His148Gln Homo VUS Tolerated Probably damaging Damaging Damaging
38 HK c. 19C>T/p.Arg7Ter Homo Pathogenic - - - Damaging
39 IGHMBP2 c. 1523C>T/p.Ser508Leu Homo Likely pathogenic Affect protein function Damaging Damaging Damaging
SLC12A6 c. 1625T>C/p.Ile542Thr Homo VUS Tolerated Possibly damaging - -
40 MPV17 c. 280G>T/p.Gly94Trp Homo VUS Tolerated Possibly damaging - Damaging
41 MTMR2 c. 484C>T/p.Arg162Ter Homo Pathogenic - - - Damaging
42 NAGLU c. 325C>T/p.Arg109Cys Het VUS - Possibly damaging - Damaging
43 OPA1 c. 1045C>T/p.Arg349ter Het Pathogenic - - - Damaging
44 SACS c. 8980C>T/p.Pro2994Ser Homo VUS - Possibly damaging Damaging Damaging
45 C10ORF2 c. 876delT/p.Ala293ProfsTer33 Het Likely pathogenic - - - -
46 HSPB8 c. 71C>T/p.Ser24Phe Het VUS Tolerated Possibly damaging Damaging Damaging
47 APOB c. 13441G>A/p.Ala4481Thr Homo VUS - Benign - -
48 CDH23 c. 1589-7C>T Homo - - - - -

DISCUSSION

This study led to the identification of pathogenic/likely pathogenic variants in 87.3% cases, in addition to a number of novel variants as well as variants of uncertain significance (VUS). However, in other cohorts the detection rates ranged from 24% to 87% based on high throughput sequencing.[38,39,40] The clinical, demographic, and genetic features in various cohorts of CMT are compared with the present study [Supplementary Table 2].[87] Previous studies have shown that variants in PMP22, GJB1, MPZ and MFN2 genes account for vast majority of the CMTs.[9,41] Variants in other genes though individually rare, constitute a large number, with nearly 100 genes being implicated in the pathogenesis of CMT.[42] Given the large number of genes implicated in CMT, it may be difficult to precisely pinpoint the genetic abnormality based on the phenotype, because of significant overlapping clinical features. For instance, vocal cord palsies have been described in both axonal and demyelinating neuropathies due to MFN2, GDAP1, TRPV4, SH3TC2, and MTMR2 mutations.[43] Sensorineural hearing loss (SNHL) has also been reported in demyelinating and axonal CMT due to PMP22, GJB1, MPZ, PRPS1, and SH3TC2 mutations, among others.[44,45,46,47] We used NGS to identify the genetic basis in patients of Indian origin with suspected inherited neuropathies in whom the PMP22 variants had been excluded. The most frequent abnormality in the present study was in the MFN2 gene (all pathogenic/likely pathogenic), which is similar to that noted in the previous studies. MFN2 is reported to be the commonest cause of axonal CMT followed by MORC2.[48] In the present study, no variants in MORC2 were identified. Variants in SH3TC2 were the second most frequent abnormality in the present cohort (pathogenic/likely pathogenic = 3, VUS = 4), which is reported to be the commonest cause of recessively inherited demyelinating CMT.[49,50] Variants in GJB1 and MPZ were identified in four and two patients, respectively. An interesting finding in the present cohort is that a proportion of patients had conduction blocks on electrophysiological testing. Classically, demyelination in CMT is considered to be uniform and conduction block is generally not expected in electrophysiological testing. However, while in the “pre-genetic” era it was believed that inherited neuropathies have uniform reduction in conduction parameters, there is growing evidence that some of the CMTs may exhibit non-uniform conduction abnormalities as well as conduction blocks. In fact, conduction block and non-uniform slowing can form the basis for targeted genetic testing (e.g., X-linked CMT).[51]

Supplementary Table 2.

Epidemiological, demographic, clinical and genetic features in various cohorts of Charcot Marie Tooth disease

Author/Year Country Cohort Number M: F ratio Age at onset (years) Sporadic/Familial Genetic Test Genetic Diagnosis Reported/Novel VUS
Mostacciuolo et al., 2001[53] Italian 172 cases - - 35/104 Targeted gene sequencing PMP22 duplication=98/170 cases
MPZ point mutations: 4 variants
PMP22 missense mutations: 2 variants
C×32: 12 variants
Reported=14
Novel=4
-
Sivera et al., 2013[54] Spanish 438 cases - - - Targeted gene sequencing Total yield=365/438 (83.3%)
Most common: PMP22 duplication=184 cases
Point mutations- GJB1=56 cases
GDAP1=42 cases
SH3TC2=27 cases
MPZ=19 cases
NDRG1, HSPB1=7 cases each
MFN2=6 cases
HK1=5 cases
Novel=17 -
Manganelli et al., 2014[57] Italian 197 cases - - 47/101 Targeted gene sequencing Total yield=148/197 (75.1%)
PMP22=107
GJB1=14
GDAP1=8
MPZ=7
SH3TC2=3
MFN2=2
Novel=12 -
Hoyer et al., 2015[56] Norway 103 cases 48:55 - - MLPA, Targeted gene sequencing Total yield=35/103 (33.9%)
Point mutations=28 cases
Copy number variations=7 cases
- 10
Antoniadi et al., 2015[86] - 448 cases - - - Targeted gene sequencing Total yield=137/448 (30.5%)
195 variants in 31 genes for 137 patients
AD inheritance=93/137
AR inheritance=32/137
X-linked inheritance=9/137
Reported=107
Novel=88
215
Drew et al., 2015[58] - 110 cases - - 2/108 Whole exome sequencing Total yield=21/110 (19.09%)
HMN=2 cases
HMNP=4 cases
CMT2=10 cases
CMT1=1 case
CMTX=4 cases
Reported=9
Novel=12
-
Rudnik-
Schöneborn et al., 2016[59] German 1330 cases - Varied from early infantile (<2 years), to late adult (>50 years) 894/436 MLPA, Targeted gene sequencing AD/X-linked inheritance (axonal) = 108/340 (31.8%)
AD/X-linked inheritance (demyelinating) = 275/674 (40.8%)
Autosomal recessive inheritance (axonal) = 15/340 (4.4%)
Autosomal recessive inheritance (demyelinating) = 38/674 (5.6%)
-
Nam et al., 2016[60] Korean 78 families - 1-49 years - Hexaplex microsatellite PCR, Targeted panel sequencing Total yield=17/78 (21.7%)
GJB1=6 variants
MPZ=2 variants
SH3TC2=1 pair of compound heterozygous
PMP22, MARS, MFN2, SPTLC2, DCTN1=1 variant each
Reported=7
Novel=8
-
Li et al., 2016[61] Chinese 22 cases 17:5 Childhood to 46 years - MLPA, Targeted gene sequencing PMP22 duplication=8/22
Possible pathogenic variants: 11/22
Reported=7
Novel=3
-
Sun et al., 2017[10] Chinese Han 106 patients, NGS done on 82 57:25 Mean 30±15 years 86/20 NGS PMP22 duplication=10 patients
GJB1 mutation=9 patients
PMP22 deletion=2 patients
MFN2 mutation=2 patients
NEFL, SH3TC2, HSPB1, PRX=1 patient each
Reported=15(single base exchange)
Reported Copy number variation=2(PMP22 duplication, PMP22 deletion)
Novel=6(single base exchange)
-
Dohrn et al., 2017[62] German 612 cases 294:318 - 289/217 MLPA and NGS Total yield=121/612 (19.7%)
PMP22=16.4%
GJB1=10.7%
MPZ & SH3TC2=9.9%
MFN2=8.3%
Reported=121 cases
Novel=34 variants
201
Bacquet et al., 2018[38] French 179 cases (123 prospective and 56 retrospective) - - - Targeted panel of genes causing inherited disorders Total yield=49/123 (39.8%)
CMT1=19/28
CMT2=27/64
dHMN=5/11
HSAN=5/9
Internediate CMT=4/8
Reported=26
Novel=52
17
Milley et al., 2018[9] Hunagrian and Roma 531 cases 289:242 First decade to seventh decade of life 142/148 MLPA, qPCR, targeted gene sequencing Total yield=59.9%
CMT1=276
CMT2=42
Reported=30
Novel=6
-
Hartley et al., 2018[24] Canadian 50 index patients and 23 affected/unaffected family members - Adult onset: 34 cases
Pediatric onset: 16 cases
11/39 NGS Total yield=12/50 (24%)
HMSN=8/34
HMN=4/11
HSN or HSAN=0/5
- 11
Hoebeke et al., 2018[39] French 75 cases from 59 different families 1.8:1 Mean: 4.1 years 21/54 MLPA, Targeted gene sequencing, Targeted inherited disease panel for NGS PMP22 duplication=46/75
MFN2 mutations=11/75
Other genes=18/75
Reported=12
Novel=10
-
Yoshimura et al., 2018[63] Japanese 1005 patients - - 570/413 NGS (CMT panel) Total yield=301/1005 (30%) - -
Khadilkar et al., 2017[12] Indian 22 patients 19:3 - 18/4 NGS Total yield=13/22 (63.07%) - 3
Hsu et al., 2019[64] Taiwanese 427 patients 248:179 Mean=23.8±17.4 years
Range=1-72 years
177250 Real time fluorescent PCR for PMP22, direct sequencing of PMP22, GJB1, MPZ, MFN2, NEFL, AARS, HSPB1, GDAP1.
NGS
Total yield=312/427 (73.1%)
Demyelinating CMT=266/315 (84.4%)
Axonal CMT=46/112 (41.1%)
Reported=69
Novel=12
-
Cortese et al., 2020[8] UK and US 220 cases 136:84 - 111/109- NGS Demyelinating CMT=30/41
axonal or intermediate=32/143
dHMN =/21
HSN=2/15
Novel=30 98
Taghizadeh et al., 2020[65] Iran 58 patients - Mean=13 years
Range=4 months to 63 years
- NGS (WES) Total yield=27/58 (46.6%) Reported=16
Novel=11
-
Xie et al., 2021[87] Chinese 435 families 268:167 1-60 years 221/214 MLPA for PMP22, NGS (CMT panel) Total yield=304/435 (70%) Reported=140
Novel=20
66
Current cohort Indian 55 patients 29:26 Infancy to 54 years Sporadic=33
Familial=22
NGS (WES=31, CES=17, Neurology/CMT panel=7) 28/55 (50.9%) Reported=17
Novel=45
33

dHMN: distal Hereditary motor neuronopathy, HSAN: Hereditary sensory and autonomic neuropathy, HSN: Hereditary sensory neuropathy, MLPA: Multiplex ligation-dependent probe amplification

In the present study, in addition to the common genes (GJB1, MPZ, and MFN2), variants were identified in a number of genes implicated in various cellular functions such as growth and differentiation (SBF1, DCTN1), endocytosis (SH3TC2, LRSAM1), tRNA synthetases (AARS, MARS, GARS), intracellular calcium homeostasis (JPH 1), ubiquitin-proteasome system (UBQLN2, GAN), actin cytoskeleton regulation (FGD4), DNA repair (SETX, ATM), transcriptional regulation (IGHMBP2, DNMT1), protein homeostasis (MME, HSPB8), mitochondrial function including dynamics and maintenance (MPV17, COX6A1, COX15, VPS13, OPA1, C10ORF2), and ion transport (SLC12A6). Besides these, alterations in endoplasmic reticulum structure (TFG, ATL1), membrane or vesicle trafficking (LITAF, SBF1, DNM2, FIG4), myelin structural organization (PRX), axonal cytoskeleton maintenance (NEFL, NEFH), and axonal transport (KIF1, DCTN1, SPG11) have been reported from other cohorts of HMSN.[66,67]

The CMTs may follow autosomal or X-linked, dominant or recessive pattern of inheritance. Homozygous or compound heterozygous variants in the “dominantly” inherited genes resulting in recessive CMTs with early onset and more severe disability have been reported. For example, MFN2 is usually linked to autosomal dominant (AD) inheritance but autosomal recessive (AR, homozygous or compound heterozygous variants) pattern is also reported where the proband inherits one mutation from each parent. The heterozygous parents can be asymptomatic or may manifest with late-onset milder phenotype, in contrast to early-onset severe phenotype in the proband bearing two mutations.[68,69] We also report two homozygous variants in MFN2 in three subjects with early-onset neuropathy [Patients 5–7, Table 3]. In contrast to compound heterozygous variants that occur in trans, distantly spaced double variants in cis have also been reported uncommonly in MFN2.[70,71] Likewise, LRSAM1 variants are dominantly inherited and are associated with CMT2 phenotype with onset in the second decade of life and moderate disability.[72] In the present study, patient 32 had early-onset neuropathy with severe disability and two heterozygous variants in LRSAM1. The presence of two variants might have contributed to the increased disease severity. This phenomenon may be comparable to severe phenotypes associated with homozygous/compound heterozygous mutations in MFN2.

The present study identified variants in multiple genes in 11 patients. There are a few reports highlighting co-occurrence of variants of multiple genes in the same individual with CMT.[73,74,75,76,77,78] Such variants are often inherited not only from heterozygous carrier parents, but can also occur de novo. High throughput sequencing permits unbiased analysis of several genes and helps in identifying all the variants which could have been missed in sequential analysis. Traditional sequencing of genes in tandem does not extend testing for other genes once a genetic variant that explains the phenotype is identified. Using NGS one can identify multiple genetic variants in different combinations: (a) more than one CMT-associated genes, or (b) CMT-associated gene(s) implicated in other neurodegenerative disorders. Two variants identified in different neuropathy-related genes may cause mild phenotype when they occur in isolation, but when present together may have additive effect on severity of symptoms by causing pathology at different sites. The non-neuropathy related genetic variants may act as modifier when present together with another gene known to cause neuropathy.[77] The most common cause of demyelinating CMT, that is, PMP22 duplication has been reported with additional dose of PMP22 (triplication) resulting in more severe clinical phenotype.[79,80] There are reports on PMP22 mutation along with other related genes like LITAF, SMN2, DCTN1, GJB1, FSHD, and ABCD1 [Supplementary Table 3].[73,74,75,76] Coexistence of variants in MFN2 and GDAP1 in axonal CMT has also been reported. The two variants act in a synergistic manner resulting in major mitochondrial defects as each gene is involved in mitochondrial bioenergetics either for adenosine triphosphate (ATP) production or respiratory chain complex I activity.[81,82,83,84] Apart from PMP22 and MFN2, there are selected reports on other gene combinations such as JPH 1/GDAP1 and EGR2/GJB1.[55,77,85] Increased genetic “burden” arising from this combination of genetic mutations may contribute to phenotypic variability including age at onset and disease severity.[78] Based on the available literature, we hypothesize that the co-occurence of multiple genetic variants may have impacted the clinical phenotype including the severity in the present cohort. However, we did not establish the synergy between the multiple variants and their impact on the phenotypes by using in vitro studies or animal models. This is a limitation of the present study.

Supplementary Table 3.

Impact of mutations in multiple genes on neuropathy phenotype

Author/year Gene combination Number of subjects Impact on phenotype
Kim et al., 2015[70] PMP22 triplication 1 case Proband: severely affected: triplication, mildly affected family members: duplication
Liu et al., 2014[71] PMP22 triplication Triplication is caused due to Lenovo mutation from maternal origin and results in severe phenotype as compared to usual duplication
Meggouh et al., 2005[50] PMP22 and LITAF 1 case PMPP22 causes inefficient protein folding and variations in LITAF may hamper protein degradation pathway, altogether affecting the clearance of misfolded protein. Modifier genes can play role for pathogenesis of disease
Fernández et al., 2016[51] SMN2 and PMP22 1 case Clinical phenotype suggestive of SMN, Elder brother was diagnosed with CMT
Hodapp et al., 2006[66] PMP22 and GJB1, PMP22 and DCTN1, PMP22 and ABCD1 3 families Presence of two gene variants resulted in cumulative effect on severity of symptoms, and individual variant itself was correlated with respective function in peripheral nerve
Chung et al., 2005[76] EGR2 (R359W) and GJB1 (V136A) Screening: 125 CMT families, described: 1 family; 5 members Proband carrying both the mutations had severe phenotype while father having mutation only in EGR2 gene presented with mild phenotype. The difference in clinical presentation might be either due to genetic modifier in EGR2 (mild phenotype) or cumulative effect of both the mutations (severe phenotype)
Kim et al., 2010[77] DMPK (CTG repeats) and GJB1 (R149Q) 1 family DMPK inherited from father (80 fold as compared to 220 fold in proband), mother was found normal for the repeats, GJB1: mother carried heterozygous mutation but this variant was absent in father
Vital et al., 2012[75] MFN2 (V160fs) and GDAP1 (R120W) 1 family Mother and father both heterozygous carriers of one mutation each. Proband and her daughter have both the variants. Synergistic effect of two mild variants resulted in severe phenotype observed in the second generation (proband) and her daughter as well
Kostera-Pruszczyk et al., 2014[74] MFN2 (T236M) and GDAP1 (H123R) 1 case MFN2 variant: inherited from maternal line (mother and paternal grandfather carriers); results in impaired mitochondrial energy coupling and GDAP1 variant: denovo; impairs mitochondrial transmembrane potential. Individual variants presents with mild phenotypes as reported earlier in literature, but this combination resulted in severe phenotype
Anghelescu et al., 2017[72] MFN2 (P201L) and GDAP1 (E222K) 1 case Proband: both GDAP1 and MFN2 mutations. Father and paternal grandmother carriers of GDAP1 variant, MFN2 variant was not found in any of the family members examined. Father and paternal grandmother had mild phenotypic presentation, de novo MFN2 mutation or co-existence of MFN2 and GDAP1 may explain the severity of disease in the proband
Cassereau et al., 2011[73] MFN2 (R468H) and GDAP1 (Q163X) 1 family MFN2 variant results in mild phenotype, as ATP production remains normal in this case even when there is defect in energy coupling, but GDAP1 variant results in decreased ATP production because of impairment in Complex I activity. Simultaneous MFN2 and GDAP1 mutations cause major mitochondrial defects in a patient with CMT. The synergistic effect of these two mutations prove to be deleterious and hence explaining the severity of phenotype
Pla-Martín et al., 2015[68] JPH 1 and GDAP1 - GDAP1 variant (R120W) and JPH 1 variant (R213P) collectively mimics the phenotype of GDAP1 knock-down cells as they both are involved in calcium homeostasis
Schreiber et al., 2013[67] FSHD and PMP22 1 case Overlap of two phenotypes

The present study identified a number of novel variants and VUS which require to be validated for confirming their pathogenicity. Previous studies have also reported a large number of VUS, ranging from 10 to as high as 215 in a single cohort.[56,86] Reporting of VUS is dependent on the ACMG guidelines. Validating individual variants in various genes may not be an efficient approach given the low frequency of individual genetic variants other than PMP22, MPZ, GJB, and MFN2 genes. Due to the prevailing high levels of genetic heterogeneity, narrowing down to common cellular pathways through network biology approach and forming “disease modules” may prove to be more useful in understanding the pathobiology even in patients who are “negative” for genetic abnormalities by whole exome sequencing (WES). Various genes reported in the context of hereditary neuropathies act on interconnected pathways and share common proteins to carry out the overlapping biological functions. The peripheral nervous tissue being highly metabolically active needs constant maintenance of a pool of proteins and other molecular interactors. Mutations in any one of the associated genes resulting in abnormal protein can have a cascading effect on the protein interactome and may fail to maintain the cellular homeostasis. This effect is propagated along the nerve function adding to disease pathology. These networks of proteins and their molecular partners can be exploited further to understand the disease pathogenesis and further translated for drug development and therapeutics.[52]

In conclusion, we report the NGS findings in a fairly large cohort of patients with inherited neuropathies from India and highlight the spectrum of genetic abnormalities. This study brings out a number of novel variants and VUS. Establishing an accurate genetic diagnosis is important not only for genetic counseling but also in the perspective of including patients for upcoming therapeutic trials. NGS identified variants in several genes, including those that have pathobiological significance in neuropathy and other non-neuropathic disorders. The functional validation of novel variants and the impact of their interactions with other molecular partners remain to be established in future studies.

Financial support and sponsorship

The study was funded by a grant to Dr Madhu Nagappa from the Indian Council of Medical Research (BMS/TF/Trans-Neuro/2014-3389/July-15/16/KA/Govt dated 25th July 2016).

Conflicts of interest

There are no conflicts of interest.

REFERENCES

  • 1.Rossor AM, Carr AS, Devine H, Chandrashekar H, Pelayo-Negro AL, Pareyson D, et al. Peripheral neuropathy in complex inherited diseases: An approach to diagnosis. J Neurol Neurosurg Psychiatry. 2017;88:846–63. doi: 10.1136/jnnp-2016-313960. [DOI] [PubMed] [Google Scholar]
  • 2.Klein CJ, Duan X, Shy ME. Inherited neuropathies: Clinical overview and update. Muscle Nerve. 2013;48:604–22. doi: 10.1002/mus.23775. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Hoebeke C, Bonello-Palot N, Audic F, Boulay C, Tufod D, Attarian S, et al. Retrospective study of 75 children with peripheral inherited neuropathy: Genotype-phenotype correlations. Arch Pediatr. 2018;25:452–8. doi: 10.1016/j.arcped.2018.09.006. [DOI] [PubMed] [Google Scholar]
  • 4.Taniguchi JB, Elui VM, Osório FL, Hallak JE, Crippa JA, Machado-de-Sousa JP, et al. Quality of life in patients with Charcot-Marie-Tooth disease type 1A. Arq Neuropsiquiatr. 2013;71:392–6. doi: 10.1590/0004-282X20130045. [DOI] [PubMed] [Google Scholar]
  • 5.Cordeiro JL, Marques W, Hallak JE, Osório FL. Charcot-Marie-Tooth disease, psychiatric indicators and quality of life: A systematic review. ASN Neuro. 2014;6:185–92. doi: 10.1042/AN20130048. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Saporta MA, Shy ME. Inherited peripheral neuropathies. Neurol Clin. 2013;31:597–619. doi: 10.1016/j.ncl.2013.01.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Saporta MA. Charcot-Marie-Tooth disease and other inherited neuropathies. Continuum (MinneapMinn) 2014;20:1208–25. doi: 10.1212/01.CON.0000455885.37169.4c. [DOI] [PubMed] [Google Scholar]
  • 8.Cortese A, Wilcox JE, Polke JM, Poh R, Skorupinska M, Rossor AM, et al. Targeted next-generation sequencing panels in the diagnosis of Charcot-Marie-Tooth disease. Neurology. 2020;94:e51–61. doi: 10.1212/WNL.0000000000008672. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Milley GM, Varga ET, Grosz Z, Nemes C, Arányi Z, Boczán J, et al. Genotypic and phenotypic spectrum of the most common causative genes of Charcot-Marie-Tooth disease in Hungarian patients. Neuromuscul Disord. 2018;28:38–43. doi: 10.1016/j.nmd.2017.08.007. [DOI] [PubMed] [Google Scholar]
  • 10.Sun B, Chen Z, Ling L, Yang F, Huang X. Clinical and genetic spectra of Charcot-Marie-Tooth disease in Chinese Han patients. J PeripherNerv Syst. 2017;22:13–8. doi: 10.1111/jns.12195. [DOI] [PubMed] [Google Scholar]
  • 11.Trivedi S, Pandit A, Ganguly G, Das SK. Epidemiology of peripheral neuropathy: An Indian perspective. Ann Indian Acad Neurol. 2017;20:173–84. doi: 10.4103/aian.AIAN_470_16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Khadilkar SV, Patil ND, Kadam ND, Mansukhani KA, Patel BA. Clinico-electrophysiological and genetic overlaps and magnetic resonance imaging findings in Charcot-Marie- tooth disease: A pilot study from Western India. Ann Indian Acad Neurol. 2017;20:425–9. doi: 10.4103/aian.AIAN_316_17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Nagappa M, Sharma S, Govindaraj P, Chickabasaviah YT, Siram R, Shroti A, Debnath M, Sinha S, Bindu PS, Taly AB. PMP22 Gene-associated neuropathies: Phenotypic spectrum in a cohort from India. J Mol Neurosci. 2020;70:778–89. doi: 10.1007/s12031-020-01488-w. [DOI] [PubMed] [Google Scholar]
  • 14.Haberlová J, Seeman P. Utility of Charcot-Marie-tooth neuropathy score in children with type 1A disease. Pediatr Neurol. 2010;43:407–10. doi: 10.1016/j.pediatrneurol.2010.06.004. [DOI] [PubMed] [Google Scholar]
  • 15.Bonita R, Beaglehole R. Modification of Rankin scale: Recovery of motor function after stroke. Stroke. 1988;19:1497–500. doi: 10.1161/01.str.19.12.1497. [DOI] [PubMed] [Google Scholar]
  • 16.American Association of Electrodiagnostic Medicine. Olney RK. Guidelines in electrodiagnostic medicine.Consensus criteria for the diagnosis of partial conduction block. Muscle Nerve Suppl. 1999;8:S225–9. [PubMed] [Google Scholar]
  • 17.Freed D, Aldana R, Weber JA, Edwards JS. The Sentieon genomics tools-A fast and accurate solution to variant calling from next-generation sequence data. BioRxiv. 2017:115717. doi: 10.1101/115717. [Google Scholar]
  • 18.1000 Genomes Project Consortium. Auton A, Brooks LD, Durbin RM, Garrison EP, Kang HM, et al. A global reference for human genetic variation. Nature. 2015;526:68–74. doi: 10.1038/nature15393. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Lek M, Karczewski KJ, Minikel EV, Samocha KE, Banks E, Fennell T, et al. Analysis of protein-coding genetic variation in 60,706 humans. Nature. 2016;536:285–91. doi: 10.1038/nature19057. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Nagasaki M, Yasuda J, Katsuoka F, Nariai N, Kojima K, Kawai Y, et al. Rare variant discovery by deep whole-genome sequencing of 1,070 Japanese individuals? Nat Commun. 2015;6:8018. doi: 10.1038/ncomms9018. doi: 10.1038/ncomms9018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Sherry ST, Ward MH, Kholodov M, Baker J, Phan L, Smigielski EM, et al. dbSNP: The NCBI database of genetic variation. Nucleic Acids Res. 2001;29:308–11. doi: 10.1093/nar/29.1.308. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.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;17:405–24. doi: 10.1038/gim.2015.30. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Züchner S, Mersiyanova IV, Muglia M, Bissar-Tadmouri N, Rochelle J, Dadali EL, et al. Mutations in the mitochondrial GTPase mitofusin 2 cause Charcot-Marie-Tooth neuropathy type 2A. Nat Genet. 2004;36:449–51. doi: 10.1038/ng1341. [DOI] [PubMed] [Google Scholar]
  • 24.Høyer H, Braathen GJ, Busk ØL, Holla ØL, Svendsen M, Hilmarsen HT, et al. Genetic diagnosis of Charcot-Marie-Tooth disease in a population by next-generation sequencing? Biomed Res Int. 2014;2014:210401. doi: 10.1155/2014/210401. doi:10.1155/2014/210401. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Deng HX, Chen W, Hong ST, Boycott KM, Gorrie GH, Siddique N, et al. Mutations in UBQLN2 cause dominant X-linked juvenile and adult-onset ALS and ALS/dementia. Nature. 2011;477:211–5. doi: 10.1038/nature10353. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Jerath NU, Mankodi A, Crawford TO, Grunseich C, Baloui H, Nnamdi-Emeratom C, et al. Charcot-Marie-Tooth disease type 4C: Novel mutations, clinical presentations, and diagnostic challenges. Muscle Nerve. 2018;57:749–55. doi: 10.1002/mus.25981. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Niu J, Dai Y, Liu M, Li Y, Ding Q, Guan Y, et al. GJB1 mutation-A disease spectrum: Report of case series? Front Neurol. 2020;10:1406. doi: 10.3389/fneur.2019.01406. doi: 10.3389/fneur. 2019.01406. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Ionasescu V, Searby C, Ionasescu R. Point mutations of the connexin32 (GJB1) gene in X-linked dominant Charcot-Marie-Tooth neuropathy. Hum Mol Genet. 1994;3:355–8. doi: 10.1093/hmg/3.2.355. [DOI] [PubMed] [Google Scholar]
  • 29.Nelis E, Van Broeckhoven C, De Jonghe P, Löfgren A, Vandenberghe A, Latour P, et al. Estimation of the mutation frequencies in Charcot-Marie-Tooth disease type 1 and hereditary neuropathy with liability to pressure palsies: A European collaborative study. Eur J Hum Genet. 1996;4:25–33. doi: 10.1159/000472166. [DOI] [PubMed] [Google Scholar]
  • 30.Yoshimura T, Ohnishi A, Yamamoto T, Fukushima Y, Kitani M, Kobayashi T. Two novel mutations (C53S, S26L) in the connexin32 of Charcot-Marie-Tooth disease type X families. Hum Mutat. 1996;8:270–2. doi: 10.1002/(SICI)1098-1004(1996)8:3<270::AID-HUMU12>3.0.CO;2-#. [DOI] [PubMed] [Google Scholar]
  • 31.Sagi-Dain L, Shemer L, Zelnik N, Zoabi Y, Orit S, Adir V, et al. Whole-exome sequencing reveals a novel missense mutation in the MARS gene related to a rare Charcot-Marie-Tooth neuropathy type 2U. J Peripher Nerv Syst. 2018;23:138–42. doi: 10.1111/jns.12264. [DOI] [PubMed] [Google Scholar]
  • 32.Münch C, Sedlmeier R, Meyer T, Homberg V, Sperfeld AD, Kurt A, et al. Point mutations of the p150 subunit of dynactin (DCTN1) gene in ALS. Neurology. 2004;63:724–6. doi: 10.1212/01.wnl.0000134608.83927.b1. [DOI] [PubMed] [Google Scholar]
  • 33.Borowiec M, Liew CW, Thompson R, Boonyasrisawat W, Hu J, Mlynarski WM, et al. Mutations at the BLK locus linked to maturity onset diabetes of the young and beta-cell dysfunction. Proc Natl Acad Sci U S A. 2009;106:14460–5. doi: 10.1073/pnas.0906474106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Tamiya G, Makino S, Hayashi M, Abe A, Numakura C, Ueki M, et al. A mutation of COX6A1 causes a recessive axonal or mixed form of Charcot-Marie-Tooth disease. Am J Hum Genet. 2014;95:294–300. doi: 10.1016/j.ajhg.2014.07.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Bruno C, Bertini E, Federico A, Tonoli E, Lispi ML, Cassandrini D, et al. Clinical and molecular findings in patients with giant axonal neuropathy (GAN) Neurology. 2004;62:13–6. doi: 10.1212/01.wnl.0000101676.41505.a7. [DOI] [PubMed] [Google Scholar]
  • 36.Karakaya M, Storbeck M, Strathmann EA, Delle Vedove A, Hölker I, Altmueller J, et al. Targeted sequencing with expanded gene profile enables high diagnostic yield in non-5q-spinal muscular atrophies. Hum Mutat. 2018;39:1284–98. doi: 10.1002/humu.23560. [DOI] [PubMed] [Google Scholar]
  • 37.Meng QH, Pajukanta P, Ilmonen M, Schuster H, Schewe CK, Andersson LC, et al. Analysis of novel apolipoprotein B mutations using a modified U937 cell line LDL binding assay. Clin Chim Acta. 1996;256:27–36. doi: 10.1016/s0009-8981(96)06409-1. [DOI] [PubMed] [Google Scholar]
  • 38.Bacquet J, Stojkovic T, Boyer A, Martini N, Audic F, Chabrol B, et al. Molecular diagnosis of inherited peripheral neuropathies by targeted next-generation sequencing: Molecular spectrum delineation? BMJ Open. 2018;8:e021632. doi: 10.1136/bmjopen-2018-021632. doi: 10.1136/bmjopen.2018.021632. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Hartley T, Wagner JD, Warman-Chardon J, Tétreault M, Brady L, Baker S, et al. Whole-exome sequencing is a valuable diagnostic tool for inherited peripheral neuropathies: Outcomes from a cohort of 50 families. Clin Genet. 2018;93:301–9. doi: 10.1111/cge.13101. [DOI] [PubMed] [Google Scholar]
  • 40.Padilha JPD, Brasil CS, Hoefel AML, Winckler PB, Donis KC, Brusius-Facchin AC, et al. Diagnostic yield of targeted sequential and massive panel approaches for inherited neuropathies. Clin Genet. 2020;98:185–90. doi: 10.1111/cge.13793. [DOI] [PubMed] [Google Scholar]
  • 41.Hoyle JC, Isfort MC, Roggenbuck J, Arnold WD. The genetics of Charcot-Marie-Tooth disease: Current trends and future implications for diagnosis and management. ApplClin Genet. 2015;8:235–43. doi: 10.2147/TACG.S69969. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Morena J, Gupta A, Hoyle JC. Charcot-Marie-Tooth: From molecules to therapy? Int J Mol Sci. 2019;20:3419. doi: 10.3390/ijms20143419. doi: 10.3390/ijms20143419. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Bombelli F, Stojkovic T, Dubourg O, Echaniz-Laguna A, Tardieu S, Larcher K, et al. Charcot-Marie-Tooth disease type 2A: From typical to rare phenotypic and genotypic features. JAMA Neurol. 2014;71:1036–42. doi: 10.1001/jamaneurol.2014.629. [DOI] [PubMed] [Google Scholar]
  • 44.Joo IS, Ki CS, Joo SY, Huh K, Kim JW. A novel point mutation in PMP22 gene associated with a familial case of Charcot-Marie-Tooth disease type 1A with sensorineural deafness. Neuromuscul Disord. 2004;14:325–8. doi: 10.1016/j.nmd.2004.02.009. [DOI] [PubMed] [Google Scholar]
  • 45.Seeman P, Mazanec R, Huehne K, Suslíková P, Keller O, Rautenstrauss B. Hearing loss as the first feature of late-onset axonal CMT disease due to a novel P0 mutation. Neurology. 2004;63:733–5. doi: 10.1212/01.wnl.0000134605.61307.de. [DOI] [PubMed] [Google Scholar]
  • 46.Chen B, Niu S, Wang X, Yu X, Tang H, Pan H, et al. Three novel mutations in a group of Chinese patients with X-linked Charcot-Marie-Tooth disease? Clin Neurol Neurosurg. 2019;184:105430. doi: 10.1016/j.clineuro.2019.105430. doi: 10.1016/j.clineuro. 2019.105430. [DOI] [PubMed] [Google Scholar]
  • 47.Lerat J, Magdelaine C, Derouault P, Beauvais-Dzugan H, Bieth E, Acket B, et al. New PRPS1 variant p.(Met68Leu) located in the dimerization area identified in a French CMTX5 patient? Mol Genet Genomic Med. 2019;7:e875. doi: 10.1002/mgg3.875. doi: 10.1002/mgg3.875. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Ando M, Okamoto Y, Yoshimura A, Yuan JH, Hiramatsu Y, Higuchi Y, et al. Clinical and mutational spectrum of Charcot-Marie-Tooth disease type 2Z caused by MORC2 variants in Japan. Eur J Neurol. 2017;24:1274–82. doi: 10.1111/ene.13360. [DOI] [PubMed] [Google Scholar]
  • 49.Laššuthová P, Mazanec R, Vondráček P, Sišková D, Haberlová J, Sabová J, et al. High frequency of SH3TC2 mutations in Czech HMSN I patients. Clin Genet. 2011;80:334–45. doi: 10.1111/j.1399-0004.2011.01640.x. [DOI] [PubMed] [Google Scholar]
  • 50.Piscosquito G, Saveri P, Magri S, Ciano C, Gandioli C, Morbin M, et al. Screening for SH3TC2 gene mutations in a series of demyelinating recessive Charcot-Marie-Tooth disease (CMT4) J PeripherNerv Syst. 2016;21:142–9. doi: 10.1111/jns.12175. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Lewis RA, Sumner AJ, Shy ME. Electrophysiological features of inherited demyelinating neuropathies: A reappraisal in the era of molecular diagnosis. Muscle Nerve. 2000;23:1472–87. doi: 10.1002/1097-4598(200010)23:10<1472::aid-mus3>3.0.co;2-#. [DOI] [PubMed] [Google Scholar]
  • 52.Bis-Brewer DM, Danzi MC, Wuchty S, Züchner S. A network biology approach to unraveling inherited axonopathies? Sci Rep. 2019;9:1692. doi: 10.1038/s41598-018-37119-z. doi: 10.1038/s41598.018.37119.z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Mostacciuolo ML, Righetti E, Zortea M, Bosello V, Schiavon F, Vallo L, et al. Charcot-Marie-Tooth disease type I and related demyelinating neuropathies: Mutation analysis in a large cohort of Italian families. Hum Mutat. 2001;18:32–41. doi: 10.1002/humu.1147. [DOI] [PubMed] [Google Scholar]
  • 54.Sivera R, Sevilla T, Vílchez JJ, Martínez-Rubio D, Chumillas MJ, Vázquez JF, et al. Charcot-Marie-Tooth disease: Genetic and clinical spectrum in a Spanish clinical series. Neurology. 2013;81:1617–25. doi: 10.1212/WNL.0b013e3182a9f56a. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Kim HS, Chung KW, Kang SH, Choi SK, Cho SY, Koo H, et al. Myotonic dystrophy type I combined with X-linked dominant Charcot-Marie-Tooth neuropathy. Neurogenetics. 2010;11:425–33. doi: 10.1007/s10048-010-0246-5. [DOI] [PubMed] [Google Scholar]
  • 56.Høyer H, Busk ØL, Holla ØL, Strand L, Russell MB, Skjelbred CF, et al. Hereditary peripheral neuropathies diagnosed by next-generation sequencing. Tidsskr Nor Laegeforen. 2015;135:1838–44. doi: 10.4045/tidsskr.14.1002. [DOI] [PubMed] [Google Scholar]
  • 57.Manganelli F, Tozza S, Pisciotta C, Bellone E, Iodice R, Nolano M, et al. Charcot-Marie-Tooth disease: Frequency of genetic subtypes in a Southern Italy population. J Peripher Nerv Syst. 2014;19:292–8. doi: 10.1111/jns.12092. [DOI] [PubMed] [Google Scholar]
  • 58.Drew AP, Zhu D, Kidambi A, Ly C, Tey S, Brewer MH, et al. Improved inherited peripheral neuropathy genetic diagnosis by whole-exome sequencing. Mol Genet Genomic Med. 2015;3:143–54. doi: 10.1002/mgg3.126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Rudnik-Schöneborn S, Tölle D, Senderek J, Eggermann K, Elbracht M, Kornak U, et al. Diagnostic algorithms in Charcot-Marie-Tooth neuropathies: Experiences from a German genetic laboratory on the basis of 1206 index patients. Clin Genet. 2016;89:34–43. doi: 10.1111/cge.12594. [DOI] [PubMed] [Google Scholar]
  • 60.Nam SH, Hong YB, Hyun YS, Nam da E, Kwak G, Hwang SH, et al. Identification of genetic causes of inherited peripheral neuropathies by targeted gene panel sequencing. Mol Cells. 2016;39:382–8. doi: 10.14348/molcells.2016.2288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Li LX, Zhao SY, Liu ZJ, Ni W, Li HF, Xiao BG, et al. Improving molecular diagnosis of Chinese patients with Charcot-Marie-Tooth by targeted next-generation sequencing and functional analysis. Oncotarget. 2016;7:27655–64. doi: 10.18632/oncotarget.8377. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Dohrn MF, Glöckle N, Mulahasanovic L, Heller C, Mohr J, Bauer C, et al. Frequent genes in rare diseases: Panel-based next generation sequencing to disclose causal mutations in hereditary neuropathies. J Neurochem. 2017;143:507–22. doi: 10.1111/jnc.14217. [DOI] [PubMed] [Google Scholar]
  • 63.Yoshimura A, Yuan JH, Hashiguchi A, Ando M, Higuchi Y, Nakamura T, et al. Genetic profile and onset features of 1005 patients with Charcot-Marie-Tooth disease in Japan. J Neurol Neurosurg Psychiatry. 2019;90:195–202. doi: 10.1136/jnnp-2018-318839. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Hsu YH, Lin KP, Guo YC, Tsai YS, Liao YC, Lee YC. Mutation spectrum of Charcot-Marie-Tooth disease among the Han Chinese in Taiwan. Ann Clin Transl Neurol. 2019;6:1090–101. doi: 10.1002/acn3.50797. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Taghizadeh S, Vazehan R, Beheshtian M, Sadeghinia F, Fattahi Z, Mohseni M, et al. Molecular diagnosis of hereditary neuropathies by whole exome sequencing and expanding the phenotype spectrum. Arch Iran Med. 2020;23:426–33. doi: 10.34172/aim.2020.39. [DOI] [PubMed] [Google Scholar]
  • 66.Jerath NU, Shy ME. Hereditary motor and sensory neuropathies: Understanding molecular pathogenesis could lead to future treatment strategies. Biochim Biophys Acta. 2015;1852:667–78. doi: 10.1016/j.bbadis.2014.07.031. [DOI] [PubMed] [Google Scholar]
  • 67.Niemann A, Berger P, Suter U. Pathomechanisms of mutant proteins in Charcot-Marie-Tooth disease. Neuromolecular Med. 2006;8:217–42. doi: 10.1385/nmm:8:1-2:217. [DOI] [PubMed] [Google Scholar]
  • 68.Polke JM, Laurá M, Pareyson D, Taroni F, Milani M, Bergamin G, et al. Recessive axonal Charcot-Marie-Tooth disease due to compound heterozygous mitofusin 2 mutations. Neurology. 2011;77:168–73. doi: 10.1212/WNL.0b013e3182242d4d. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Piscosquito G, Saveri P, Magri S, Ciano C, Di Bella D, Milani M, et al. Mutational mechanisms in MFN2-related neuropathy: Compound heterozygosity for recessive and semidominant mutations. J Peripher Nerv Syst. 2015;20:380–6. doi: 10.1111/jns.12145. [DOI] [PubMed] [Google Scholar]
  • 70.Park SY, Kim SY, Hong YH, Cho SI, Seong MW, Park SS. A novel double mutation in cis in MFN2 causes Charcot-Marie-Tooth neuropathy type 2A. Neurogenetics. 2012;13:275–80. doi: 10.1007/s10048-012-0327-8. [DOI] [PubMed] [Google Scholar]
  • 71.Verhoeven K, Claeys KG, Züchner S, Schröder JM, Weis J, Ceuterick C, et al. MFN2 mutation distribution and genotype/phenotype correlation in Charcot-Marie-Tooth type 2. Brain. 2006;129:2093–102. doi: 10.1093/brain/awl126. [DOI] [PubMed] [Google Scholar]
  • 72.Tazir M, Bellatache M, Nouioua S, Vallat JM. Autosomal recessive Charcot-Marie-Tooth disease: From genes to phenotypes. J Peripher Nerv Syst. 2013;18:113–29. doi: 10.1111/jns5.12026. [DOI] [PubMed] [Google Scholar]
  • 73.Meggouh F, de Visser M, Arts WF, De Coo RI, van Schaik IN, Baas F. Early onset neuropathy in a compound form of Charcot-Marie-Tooth disease. Ann Neurol. 2005;57:589–91. doi: 10.1002/ana.20434. [DOI] [PubMed] [Google Scholar]
  • 74.Fernández RM, Peciña A, Muñoz-Cabello B, Antiñolo G, Borrego S. Co-segregation of a homozygous SMN1 deletion and a heterozygous PMP22 duplication in a patient. Clin Case Rep. 2016;4:879–84. doi: 10.1002/ccr3.645. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Hodapp JA, Carter GT, Lipe HP, Michelson SJ, Kraft GH, Bird TD. Double trouble in hereditary neuropathy: Concomitant mutations in the PMP-22 gene and another gene produce novel phenotypes. Arch Neurol. 2006;63:112–7. doi: 10.1001/archneur.63.1.112. [DOI] [PubMed] [Google Scholar]
  • 76.Schreiber O, Schneiderat P, Kress W, Rautenstrauss B, Senderek J, Schoser B, et al. Facioscapulohumeral muscular dystrophy and Charcot-Marie-Tooth neuropathy 1A-evidence for “double trouble” overlapping syndromes? BMC Med Genet. 2013;14:92. doi: 10.1186/1471-2350-14-92. doi: 10.1186/1471.2350.14.92. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Pla-Martín D, Calpena E, Lupo V, Márquez C, Rivas E, Sivera R, et al. Junctophilin-1 is a modifier gene of GDAP1-related Charcot-Marie-Tooth disease. Hum Mol Genet. 2015;24:213–29. doi: 10.1093/hmg/ddu440. [DOI] [PubMed] [Google Scholar]
  • 78.Gonzaga-Jauregui C, Harel T, Gambin T, Kousi M, Griffin LB, Francescatto L, et al. Exome sequence analysis suggests that genetic burden contributes to phenotypic variability and complex neuropathy. Cell Rep. 2015;12:1169–83. doi: 10.1016/j.celrep.2015.07.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Kim SM, Lee J, Yoon BR, Kim YJ, Choi BO, Chung KW. Severe phenotypes in a Charcot-Marie-Tooth 1A patient with PMP22 triplication. J Hum Genet. 2015;60:103–6. doi: 10.1038/jhg.2014.102. [DOI] [PubMed] [Google Scholar]
  • 80.Liu P, Gelowani V, Zhang F, Drory VE, Ben-Shachar S, Roney E, et al. Mechanism, prevalence, and more severe neuropathy phenotype of the Charcot-Marie-Tooth type 1A triplication. Am J Hum Genet. 2014;94:462–9. doi: 10.1016/j.ajhg.2014.01.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Anghelescu C, Francou B, Cardas R, Guiochon-Mantel A, Aubourg P, Servais L, et al. Targeted exomes reveal simultaneous MFN2 and GDAP1 mutations in a severe Charcot-Marie-Tooth disease type 2 phenotype. Eur J Neurol. 2017;24:e15–6. doi: 10.1111/ene.13250. [DOI] [PubMed] [Google Scholar]
  • 82.Cassereau J, Casasnovas C, Gueguen N, Malinge MC, Guillet V, Reynier P, et al. Simultaneous MFN2 and GDAP1 mutations cause major mitochondrial defects in a patient with CMT. Neurology. 2011;76:1524–6. doi: 10.1212/WNL.0b013e318217e77d. [DOI] [PubMed] [Google Scholar]
  • 83.Kostera-Pruszczyk A, Kosinska J, Pollak A, Stawinski P, Walczak A, Wasilewska K, et al. Exome sequencing reveals mutations in MFN2 and GDAP1 in severe Charcot-Marie-Tooth disease. J PeripherNerv Syst. 2014;19:242–5. doi: 10.1111/jns.12088. [DOI] [PubMed] [Google Scholar]
  • 84.Vital A, Latour P, Sole G, Ferrer X, Rouanet M, Tison F, et al. A French family with Charcot-Marie-Tooth disease related to simultaneous heterozygous MFN2 and GDAP1 mutations. NeuromusculDisord. 2012;22:735–41. doi: 10.1016/j.nmd.2012.04.001. [DOI] [PubMed] [Google Scholar]
  • 85.Chung KW, Sunwoo IN, Kim SM, Park KD, Kim WK, Kim TS, et al. Two missense mutations of EGR2 R359W and GJB1 V136A in a Charcot-Marie-Tooth disease family. Neurogenetics. 2005;6:159–63. doi: 10.1007/s10048-005-0217-4. [DOI] [PubMed] [Google Scholar]
  • 86.Antoniadi T, Buxton C, Dennis G, Forrester N, Smith D, Lunt P, et al. Application of targeted multi-gene panel testing for the diagnosis of inherited peripheral neuropathy provides a high diagnostic yield with unexpected phenotype-genotype variability? BMC Med Genet. 2015;16:84. doi: 10.1186/s12881-015-0224-8. doi: 10.1186/s12881.015.0224.8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Xie Y, Lin Z, Liu L, Li X, Huang S, Zhao H, et al. Genotype and phenotype distribution of 435 patients with Charcot-Marie-Tooth disease from central south China. Eur J Neurol. 2021;28:3774–83. doi: 10.1111/ene.15024. [DOI] [PubMed] [Google Scholar]

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