Literature DB >> 36088400

Identification of a novel de novo pathogenic variant in GFAP in an Iranian family with Alexander disease by whole-exome sequencing.

Katayoun Heshmatzad1, Niloofar Naderi1, Tannaz Masoumi1, Hamidreza Pouraliakbar2, Samira Kalayinia3.   

Abstract

BACKGROUND: Alexander disease (AxD) is a rare leukodystrophy with an autosomal dominant inheritance mode. Variants in GFAP lead to this disorder and it is classified into three distinguishable subgroups: infantile, juvenile, and adult-onset types.
OBJECTIVE: The aim of this study is to report a novel variant causing AxD and collect all the associated variants with juvenile and adult-onset as well.
METHODS: We report a 2-year-old female with infantile AxD. All relevant clinical and genetic data were evaluated. Search strategy for all AxD types was performed on PubMed. The extracted data include total recruited patients, number of patients carrying a GFAP variant, nucleotide and protein change, zygosity and all the clinical symptoms.
RESULTS: A novel de novo variant c.217A > G: p. Met73Val was found in our case by whole-exome sequencing. In silico analysis categorized this variant as pathogenic. Totally 377 patients clinically diagnosed with juvenile or adult-onset forms were recruited in these articles, among them 212 patients were affected with juvenile or adult-onset form carrier of an alteration in GFAP. A total of 98 variants were collected. Among these variants c.262C > T 11/212 (5.18%), c.1246C > T 9/212 (4.24%), c.827G > T 8/212 (3.77%), c.232G > A 6/212 (2.83%) account for the majority of reported variants.
CONCLUSION: This study highlighted the role of genetic in AxD diagnosing. It also helps to provide more information in order to expand the genetic spectrum of Iranian patients with AxD. Our literature review is beneficial in defining a better genotype-phenotype correlation of AxD disorder.
© 2022. The Author(s).

Entities:  

Keywords:  GFAP; Genetics; In silico analysis; Infantile Alexander disease; Leukodystrophy; Whole-exome sequencing

Mesh:

Substances:

Year:  2022        PMID: 36088400      PMCID: PMC9464415          DOI: 10.1186/s40001-022-00799-5

Source DB:  PubMed          Journal:  Eur J Med Res        ISSN: 0949-2321            Impact factor:   4.981


Introduction

Alexander disease (AxD) (OMIM #203450) is a rare leukodystrophy first described in 1949 with usually infantile manifestation. The exact prevalence of AxD is not known, however a Japanese investigation estimated an incidence of 1 person in 2.7 million. This disorder belongs to a group of neurological diseases denoted as leukodystrophies affecting the central nervous system (CNS) white matter and characterized by myelin sheath defects or abnormal development of myelin sheath [1, 2]. According to age of onset, AxD is classified in to three subgroups naming infantile, juvenile and adult forms [3]. Patients affected with infantile AxD present various symptoms such as seizures, megalencephaly, developmental delay, progressive deterioration and increased neonatal patients severity within first two years after birth [4]. Juvenile form with the age of onset (2–14 years of age) is characterized by symptoms including ataxia, hyperreflexia, bulbar symptoms. Juvenile form has milder progression and preserved cognitive and motor function comparing to infantile form. Adult AxD patients have more similarities to the juvenile form and manifest mainly spastic paraparesis, palatal myoclonus, bulbar symptoms and ataxia [5]. AxD is usually diagnosed based on the results of CT and MRI characteristic appearances—reference. Frontal predominance involvement, hindbrain involvement, medulla oblongata and cervical spinal cord atrophy are indicators of younger patients and patients with later onset, respectively [6-8]. This autosomal dominant disorder is usually the consequence of defects in GFAP gene [9]. Sporadic cases should be mentioned briefly GFAP is located within chromosome 17q21 consists of nine exons spreading 9.8 kb length encoding a 432 amino acid protein. This protein belongs to intermediate filament proteins and has considerable and key roles in astrocytes morphology and motility regulation and astrocytes and oligodendrocytes interaction. The exact and precise mechanism through which GFAP function is not completely understood, however, it is believed that gain of function mutations in GFAP affects and disrupts intermediate filaments dimerization leading to abnormal aggregation of proteins and cytoskeleton collapse [3, 10, 11]. GFAP identification and sequencing have increased the level of diagnosis accuracy and statistical analysis have evaluated the relationships between onset age and the GFAP genotype and its clinical outcomes [12]. Nearly all of the GFAP disease-causing mutations are heterozygous single base-pair alterations located in the coding region especially in central rod domain conserved α-helices. The remaining mutations are near the N-terminus precoil domain and C-terminal tail domain [3, 13]. In this study, we report a GFAP novel variant in a 2-year-old female affected with infantile form and conduct a comprehensive review on all of the reported GFAP mutations in patients with adult and juvenile forms as well.

Methods

Case clinical features and demographic data

A 2-year-old female patient referred to Cardiogenetic Research Center, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran, suffering from developmental delay and vomiting during one year after her birth. She was born through cesarean delivery and she was the only child of one healthy non-consanguineous parents (Fig. 1A). Her birth weight and head circumference were 2350 g and 33.9 cm, respectively. At age 24 months, she manifested some further symptoms including seizure and motor and speech delays. She could not also sit independently. The patient presented spasticity and increased deep tendon reflexes (DTRs). Further neurological examination also revealed ataxia and she had also gait disturbance. The clinical surveys of other available members of the pedigree were normal. After conducting clinical evaluations and family history recording and genetic counselling, whole-exome sequencing [14] was conducted for precise diagnosis. Identified candidate variant was confirmed and segregated in family members using PCR and direct Sanger sequencing. The study was performed in accordance with the Helsinki Declaration and has been approved by the Rajaei Cardiovascular, Medical, and Research Center ethics committee (IR.RHC.REC.1400.077).
Fig. 1

Genetic and protein changes of GFAP. A The pedigree of a family with Alexander disease. The black arrow indicates proband. Affected and unaffected individuals are represented by filled and clean symbols, respectively. B Sanger sequencing results show that a novel de novo variant in the GFAP was found in the proband (III-1) and normal sequence of her parents (II-4/II-5). C Conservation of p.Met73Val variant across various species has been shown. The variant site is highly conserved in various species. D, E Schematic view of GFAP and the position of mutation p.Met73Val

Genetic and protein changes of GFAP. A The pedigree of a family with Alexander disease. The black arrow indicates proband. Affected and unaffected individuals are represented by filled and clean symbols, respectively. B Sanger sequencing results show that a novel de novo variant in the GFAP was found in the proband (III-1) and normal sequence of her parents (II-4/II-5). C Conservation of p.Met73Val variant across various species has been shown. The variant site is highly conserved in various species. D, E Schematic view of GFAP and the position of mutation p.Met73Val

MRI

Her first brain magnetic resonance imaging (MRI) at the age of 24 months indicated diffuse hyperintensity in periventricular and subcortical white matter of frontal and parietal lobes. Furthermore, basal ganglia indicated hyperintensity on apparent diffusion coefficient (ADC) maps. The brainstem and cerebellum had no abnormalities. Her MRI suggested leukodystrophy or hypoxic–ischemic encephalopathy. Her MRI reveals white matter involvement.

Whole-exome sequencing

Informed consent was obtained from the proband’s parents. DNA extraction was conducted according to salting out method. The quality and quantity of extracted DNA was checked by agarose gel electrophoresis and NanoDrop (Thermo Fisher Scientific, USA). DNA sample of the proband (III-1) (Fig. 1A) was subjected to WES and was conducted using at Macrogen (Seoul, South Korea) and raw data (fastq) was analyzed by Cardiogenetic Research Center, Rajaie Cardiovascular, Medical, and Research Center, Tehran, Iran. The short reads alignment with human reference genome (UCSC build37/hg19) was performed by BWA (http://bio-bwa.sourceforge.net/) [15]. Any alterations including insertions/deletions (indels), single-nucleotide polymorphisms (SNPs) and polymerase chain reaction (PCR) duplicates removal were detected using Picard (http://picard.sourceforge.net/), SAMtools (http://www.htslib.org/) [16], and GATK (https://www.broadinstitute.org/gatk/) [17]. After annotation by annovar (http://annovar.openbioinformatics.org) [18], variants with minor allele frequency (MAF) < 0.05 were selected and filtered. In order to assess deleterious effects of variants, bioinformatics tools were applied including combined annotation dependent depletion (CADD; https://cadd.gs.washington.edu/home) [19], sorting intolerant from tolerant (SIFT; https://sift.bii.a-star.edu.sg/) [20], MutationTaster (http://www.mutationtaster.org/) [21], protein variation effect analyzer (PROVEAN; http://provean.jcvi.org/index.php) [22], polymorphism phenotyping v2 (PolyPhen-2; http://genetics.bwh.harvard.edu/pph2/) [23], genomic evolutionary rate profiling (GERP; http://mendel.stanford.edu/SidowLab/downloads/gerp/), and CLUSTALW (https://www.genome.jp/tools-bin/clustalw).

Validation, and bioinformatics analysis

The validation of identified variant was confirmed in the proband and segregated in other family members by PCR and direct Sanger-sequencing. PCR was performed using specific primers (forward primer: TTCATAAAGCCCTCGCATC, reverse primer: CGCTTCCAACTCCTCCTTTA) on a SimpliAmp Thermal Cycler (Thermo Fisher Scientific) and products were sequenced on an ABI Sequencer 3500XL PE (Applied Biosystems). The sequences were analyzed by CodonCode Aligner 7.1.2 (https://www.codoncode.com/aligner/).

Search strategy and data extraction

The combination of following keywords GFAP and Alexander disease, “GFAP mutations” and GFAP” [title/abstract] were used searching PubMed. Totally 954 articles were collected and after duplicate removal, 868 articles remained. The inclusion criteria include patients affected with juvenile and adult-onset form of AxD who carried an alteration in GFAP. According to our defined inclusion criteria, nucleotide and protein change, zygosity, number of total recruited patients and GFAP carriers, main clinical symptoms were extracted from the selected articles (Table 1). All the collected variants were analyzed by different in silico tools such as Clinvar, SIFT, Mutation Taster, PROVEAN, GERP, ACMG, CADD and Polyphen-2 (Table 2).
Table 1

Data extraction

No.MutationProtein changeTotal recruited patientsNumber of carriersAgeDTRAtaxiaHypertoniaMyoclonusEncephalopathyScoliosisBulbar signsNystagmusPalatal myoclonusSpasticityStatus epilepticusSeizuresAtrophyMental retardationDevelopmental DelayGaitMacrocephalySlurred speechClumsinessUnsteadinessElective mutismStanding on one footOtherRef.
1

c.214G > A

c.1235C > T

E72K

T412I

22

26

33

2221[33]
2c.731C > TA244V651101111111111[39]
3c.250G > AR79H116111[40]
4

c.988C > G

c.994G > A

p. Arg330Gly

p.Glu332Lys

14

57

28

53

64

212421[41]
5

c.868C > G

c.729C > T

p.Q290E

p.R239C

3

1

1

14

10

1112211[42]
6

c.1157A > G

c.1127G > A

p.Asn386Ser

p.Arg376Gln

2

53

59

111[43]
7

c.235C > T

c.*29C > T

p.R79C110B11111[44]
8c.628G > AE312K1111[45]
9c.250G > AR79H11110[3]
10c.934G > TE312ter167SM[46]
11681G > CE223Q14011[47]
12c.382G > AD128N1165

RF

C

M

[48]
13

c.236G > C

c.1246C > T

c.1076T > C

c.209G > A

c.208C > T

R79P

R416W

L359P

R70Q

R70W

135

5

13

19

35

43

2411[27]
14c.53G > Tp.Gly18Val11461[49]
15c.382 G > Ap.Asp128Asn1152

RF

P

[50]
16c.219G > Cp.M73I11491111H[30]
17c.809G[Cp.Arg270Pro1136111[51]
18c.1245G > AM451I33

38

35

60

1213M (3)[52]
19

c.1076T > C

c.1178G > T

c.1246C > T

c.209G > A

c.613G > A

c.208C > T

c.994G > A

c.613G > A

c.1193C > A

c.382G > A

p.L359P

p.S393I

p.R416W

p.R70Q

p.E205K

p.R70W

p.E332K

p.E205K

p.S398Y

p.D128N

1110

26

36

26

39

30

43

61

58

52

64

61510[53]
20c.619-C > GNA313911M[54]
Table 2

Bioinformatics analysis of GFAP collected variants related to Alexander disease

No.Position on Chromosome 17(GRCh37)HGVS DNAHGVS proteinExon/intronSNP IDTranscriptCoilClinVarSIFTMutationTasterPROVEANFATHMMGERPACMGCADDPolyPhen-2
142987997c.1157A > Gp.Asn386SerErs61726471ENST00000253408Tail-TDCND5.13LP17.83B
242992647c.208C > Tp.Arg70TrpErs60343255ENST00000253408HeadPDDC/PDD4.82P24.1PD
342992549c.306C > Ap.Asn102LysE-ENST00000586793.1Coil1A-TDCNT/D4.69LP21.8PD
442988006c.1148C > Tp.Thr383IleErs267607517ENST00000586793.1TailPDDC/PDD5.13LP25.4PD
542992644c.211G > Ap.Ala71ThrErs267607522ENST00000586793.1HeadNPDDC/PND4.82LP23.1PD
642984686c.*29C > TNA3UTRrs370608748ENST00000588735.1------5.07B--
742988655c.1076 T > Cp.Leu359ProErs267607511ENST00000586793.1Coil2BPDDCDD4.25P30PD
842988652c.1079A > Tp.Asp360ValErs62636501ENST00000586793.1Coil2BPDDCDD4.25LP32PD
942988644c.1087A > Gp.Ile363ValE-ENST00000586793.1Coil2B-DDCND4.25LP27.3PD
1042988641c.1090G > Ap.Ala364ThrErs58645997ENST00000586793.1Coil2BPDDCDD4.25P28.8PD
1142988631c.1100G > Cp.Arg367ThrEENST00000586793.1Coil2B-DDCDD4.25P28.8PD
1242988613c.1118A > Cp.Glu373AlaErs797044589ENST00000586793.1Coil2BPDDCDD4.25P31PD
1342988612c.1119G > Cp.Glu373AspE-ENST00000586793.1Coil2B-DDCDD4.25P25.6PD
1442988605c.1126C > Tp.Arg376TrpErs267607512ENST00000586793.1Coil2BPDDCDD4.25P29.7PD
1542988604c.1127G > Ap.Arg376GlnE-ENST00000586793.1Coil2B-DDCDD4.25P36PD
1642988000c.1154C > Gp.Ser385CysErs797044590ENST00000586793.1TailLP/PDDCDD5.13P28.2PD
1742987997c.1157A > Gp.Asn386SerErs61726471ENST00000586793.1Tail-TDCND5.13LP17.83B
1842987996c.1158C > Ap.Asn386LysE-ENST00000586793.1Tail-DDCND5.13LP24.9B
1942985512c.1177A > Cp.Ser393ArgE-ENST00000253408.5Tail-TDCN-5.23LP22.6PD
2042985511c.1178G > Tp.Ser393IleErs62635764ENST00000253408.5TailPTDCN-5.23LP21.9B

All the variants were analyzed based on the NM_002055, D damaging, T tolerated, DC disease causing, B benign, P polymorphism, LP likely pathogenic, P pathogenic, PD probably damaging, VUS variant of unknown significance, N neutral

Data extraction c.214G > A c.1235C > T E72K T412I 26 33 c.988C > G c.994G > A p. Arg330Gly p.Glu332Lys 57 28 53 64 c.868C > G c.729C > T p.Q290E p.R239C 1 1 14 10 c.1157A > G c.1127G > A p.Asn386Ser p.Arg376Gln 53 59 c.235C > T c.*29C > T RF C M c.236G > C c.1246C > T c.1076T > C c.209G > A c.208C > T R79P R416W L359P R70Q R70W 5 13 19 35 43 RF P 38 35 60 c.1076T > C c.1178G > T c.1246C > T c.209G > A c.613G > A c.208C > T c.994G > A c.613G > A c.1193C > A c.382G > A p.L359P p.S393I p.R416W p.R70Q p.E205K p.R70W p.E332K p.E205K p.S398Y p.D128N 26 36 26 39 30 43 61 58 52 64 c.232G > C c.276C > T c.276C > T c.1260C > T c.1260C > T D78H R88C R88C R416W R416W 8 9 10 11 12 c.1289G > A c.1289G > A c.1290C > A p.Arg430His p.Arg430His p. Arg430Arg 42 45 8 c.799G > C 128C > G A267P - c.262C > T c.278A > C c.628G > A R88C Q93P E210K 9 10 24 c.739T > C c.1250A > C c.1277A > T p.Ser247Pro p.Asp417Ala p.Gln426Leu 26 32 46 c.724T > A c.724T > A pY242N pY242N 37 38 c.613G > A c.613G > A c.1193C > A c.382G > A c.1076T > C c.1178G > T c.1246C > T c.209G > A c.208C > T c.994G > A p.E205K p.E205K p.S398Y p.D128N p.L359P p.S393I p.R416W p.R70Q p.R70W p.E332K 30 54 52 62 19 33 13 34 30 43 c.262C > T c.262C > T c.262C > T c.1119G > C c.236G > T c.226C > T c.262C > A c.262C > T c.236G > A c.235C > T c.231T > A c.235C > T c.236G > A c.716G > A c.235C > T p.R88C p.R88C p.R88C p.E373D p.R79L p.L76F p.R88S p.R88C p.R79H p.R79C p.N77K p.R79C p.R79H p.R239H p.R79C c.803C > A c.1246C > T c.1157A > G c.1157A > G c.731C > T c.306C > A c.724T > A c.724T > A c.1246C > T c.1070C > T c.372_373insGAA c.368T > C A268D R416W N386S N386S A244V G301D N102K Y242N Y242N R126_L127dup R416W L357P R124_L125insE L123P 30 38 63 59 32 51 66 40 35 22 45 18 46 45 c.232G > A c.232G > A c.232G > A D78N D78N D78N 64 55 32 c.273G > C c.273G > C c.715C > T c.208C > T c.236G > A c.221T > C c.1070C > T V87G V87G R258C R70W R79H M74T L357P 44 33 59 64 36 51 18 c.236G > A c.236G > T c.262C > T c.715C > T c.715C > T c.731C > T c.1079A > T c.1119G > C c.221T > C c.302T > C c.731C > T c.773G > C c.791T > C c.1090G > A c.1090G > A c.827G > T(3 c.1126C > T c.1178G > T c.1193C > T c.273G > C R79H R79L R88C R239C R239C A244V D360V E373D M74T L101P A244V L258C L264P A364T A364T R276L(3) R376W S393I S398F V87G c.619G > A c.704T > C c.704T > C c.187A > C c.731C > T c.619G > C c.715C > T Glu207Lys Leu235Pro Leu235Pro Lys63Gln Ala244Val Glu207Gln Arg239Cys 10 3 3 21 9 10 4 c.380_385dupGCGGCT c.256_259delinsGAGT c.262C > T c.262C > T c.1246C > T c.628G > A c.262C > T p.Arg126_Leu127dup p.Lys86_Val87delinsGluPhe p.Arg88Cys p.Arg88Cys p.Arg416Trp p.Glu210Lys p.Arg88Cys c.469G > A c.1245G > A D157N M4151 53 27 32 c.1154 C > G IVS4-24_812 c.259 G > A c.715C > G c.701C > A c.1154 C > G c.209 G > A c.1118A > C p.Ser385Cys NA p.Val87lle P.Arg239Gly p.Ala234Asp p.Ser385Cys p.Arg70Gln p.Glu373Ala 23 38 12 27 13 44 39 33 c.988C > G c.994G > A p.R330G p.E332K c.1157A > G c.628G > A c.716G > A c.208C > T N386S E210K R258H R70W 62 58 60 64 Bioinformatics analysis of GFAP collected variants related to Alexander disease All the variants were analyzed based on the NM_002055, D damaging, T tolerated, DC disease causing, B benign, P polymorphism, LP likely pathogenic, P pathogenic, PD probably damaging, VUS variant of unknown significance, N neutral

Results

Our genetic investigation revealed a novel de novo pathogenic variant, c.217A > G (p. Met73Val) in the recruited patient. Segregation analysis in the proband’s parents confirmed the identified variant of WES (Fig. 1B). The sequence alignments of proteins displayed the variant occurred within a highly conserved amino acid across various species, which provides its essential performance (Fig. 1C). Using schematic view of GFAP, the location of p.Met73Val was visualized. The identified variant is located on coil 1A of rod domain (Fig. 1D, E). Bioinformatic analysis by different tools such as Mutation Taster, PROVEAN, PolyPhen-2, CADD, SIFT, and GERP categorized this variant as disease causing, neutral (Score: -1.540), possibly damaging (Score: 0.526), PHRED: 21.8, damaging (Score: 0.005), and Score: 3.73, respectively. Our search strategy and data extraction led to collection of 86 articles that met our defined inclusion criteria. Totally 377 patients were recruited in these articles, among them 212 patients were affected with juvenile or adult-onset form carrier of an alteration in GFAP. 202 mutations were reported and among them 98 were unique (without duplication). c.262C > T 11/212 (5.18%), c.1246C > T 9/212 (4.24%), c.827G > T 8/212 (3.77%), c.232G > A 6/212 (2.83%) were more frequent comparing to other fulfilled mutations. Our search analysis revealed that bulbar signs 115/212 (54.24%), ataxia 74/212 (34.9%) and spasticity 59/212 (27.83%) were the dominant clinical symptoms among carrier of GFAP variants (Fig. 2).
Fig. 2

The clinical symptoms frequency among affected patients

The clinical symptoms frequency among affected patients According to our analysis, mutations located on coil2B (24.74%) and coil1A (23.71%) constituted the majority of reported mutations in juvenile and adult-onset forms (Table 2). Among these 98 unique fulfilled variants 54 and 35 variants were categorized as likely pathogenic and pathogenic, respectively (Table 2).

Discussion

Gain of function variants in GFAP are associated with different forms of AxD as a neurodegenerative disorder with autosomal dominant inheritance mode [3, 24]. GFAP is an important conserved intermediate filament protein with high expression level in astrocytes playing a significant role in central nervous system (CNS). Altered GFAP loses ability of extracellular K+ clearing and gliotic tissue hyperexcitability as the consequence [25]. This leads to astrocyte function impairment, demyelination changes and aggregation of Rosenthal fiber [26]. A comprehensive search on variants causing juvenile and adult was conducted and all the collected variants were analyzed by different in silico tools. Besides, our genetic analysis revealed a novel de novo variant in GFAP naming c.217A > G results in a methionine substitution to valine at codon 73 located in Coil 1A. GFAP-α (alpha) is the most abundant form of GFAP consists of head coil domain followed by the rod (filament) domain. Rod domain is also composed of four coils (1A, 1B, 2A, 2B). Reported variants near or within coil1A are Met73Lys, Met73Thr, and Met73Arg [13, 27–29]. Previous studies indicated that variants located within 1A, 1B and 2B domains may strongly cause severe form of AxD [13]. Met73Lys was first reported in a 7-month-old girl manifesting seizures and spasticity, but she did not indicate any bulbar signs or ataxia [27] and Met73Thr was reported in a 3-month-old girl. Her main clinical symptoms were macrocephaly, seizures, spasticity, bulbar signs, and ataxia [13]. Met73Arg is the third variant within this region and was reported in a patient with juvenile form. Her initial symptom was strabismus. In addition to the above-mentioned variants, Met73Ile and Met73Arg located in coil1A are also reported for patients affected with adult-onset form [30, 31]. Most of the reported mutations in GFAP gene are de novo and with 100% penetrance [3, 32]. A study conducted by Xiaoxuan Song et al. in 2021, two de novo mutations naming c.214G > A and c.1235C > T were reported in two unrelated individuals [33]. Both patients indicate regional neural activity increase. In this study, patient who was carrier of c.1235C > T manifests atrophy of grey matter mainly involving thalamus and bilateral putamen. Grey matter volume loss may be associated with disability in the long run [34]. AxD is inherited in autosomal dominant mode, however, in an investigation by Mu-Hui Fu et al.in 2020, a homozygous substitution naming c.197G > A (p.Arg66Gln) in a man with the onset age 16 was reported. This was the first report of a GFAP homozygous mutation [35]. Previous studies showed that c.715C > T (Arg239Cys) is the most common variant identified in Infantile AxD patients, however, c.262C > T (Arg88Cys) and c.1246C > T (Arg416Trp) are the two common variants of other two types. These variants are mainly located in Coil2B domain and Coil1A and therefore they are hotspot regions of GFAP. Our literature review indicated that bulbar signs, ataxia and spasticity constitutes the majority of clinical symptoms of GFAP carriers with juvenile and adult-onset AxD. A review conducted by Heshmatzad et al. in 2021 revealed that 59.70% of infantile AxD patients carrying a GFAP alteration, manifest seizure, spasticity, macrocephaly, and developmental as the dominant clinical symptoms [36]. These results indicated that spasticity is one of the most important signs among all AxD groups. Despite all the promising results of DNA analysis, next-generation sequencing [37] implementation, further studies are needed to categorize GFAP gene variants as a reliable genetic marker for AxD patients. There are only a few published articles investigating the genetics of Iranian patients affected with AxD [36, 38]. This fact highlights the important role of genetic in AxD diagnosis. More large-scale studies with the help of genetic analysis should be conducted in order to expand our knowledge of AxD.

Accession Number

The accession number of the variant in ClinVar is as follows: NM_002055.5 (GFAP): c.217A > G (p.Met73Val): VCV001173085.1.
  110 in total

1.  Aggregate formation analysis of GFAPR416W found in one case of Alexander disease.

Authors:  Janyerkye Tulyeu; Moe Tamaura; Eriko Jimbo; Hiroko Shimbo; Kyoko Takano; Mizue Iai; Sumimasa Yamashita; Tomohide Goto; Noriko Aida; Etsuro Tokuhiro; Takanori Yamagata; Hitoshi Osaka
Journal:  Brain Dev       Date:  2018-09-10       Impact factor: 1.961

2.  Incidental diagnosis of an asymptomatic adult-onset Alexander disease by brain magnetic resonance imaging for preoperative evaluation.

Authors:  Atsuhiko Sugiyama; Setsu Sawai; Shoichi Ito; Hiroki Mukai; Minako Beppu; Tomokatsu Yoshida; Satoshi Kuwabara
Journal:  J Neurol Sci       Date:  2015-05-08       Impact factor: 3.181

Review 3.  [A case of Alexander disease with dropped head syndrome].

Authors:  Kentaro Maeda; Katsushige Iwai; Yosuke Kobayashi; Hirotake Tsuji; Tomokatsu Yoshida; Yasushi Kobayashi
Journal:  Rinsho Shinkeigaku       Date:  2018-03-28

4.  Central hypothermia associated with Alexander disease. A case report.

Authors:  Yuichi Hayashi; Mamoru Nagasawa; Takahiko Asano; Tomokatsu Yoshida; Akio Kimura; Takashi Inuzuka
Journal:  Clin Neurol Neurosurg       Date:  2017-03-31       Impact factor: 1.876

5.  Can MR imaging diagnose adult-onset Alexander disease?

Authors:  L Farina; D Pareyson; L Minati; I Ceccherini; L Chiapparini; S Romano; P Gambaro; R Fancellu; M Savoiardo
Journal:  AJNR Am J Neuroradiol       Date:  2008-04-03       Impact factor: 3.825

6.  Acute onset of adult Alexander disease.

Authors:  Holger Schmidt; Benedikt Kretzschmar; Paul Lingor; Silke Pauli; Peter Schramm; Markus Otto; Andreas Ohlenbusch; Knut Brockmann
Journal:  J Neurol Sci       Date:  2013-05-23       Impact factor: 3.181

7.  [A case of Alexander disease with repeated loss of consciousness and with rapid aggravation of dysbasia by falling].

Authors:  Yumi Matsuyama; Marie Satake; Ryotaro Kamei; Tomokatsu Yoshida
Journal:  Rinsho Shinkeigaku       Date:  2020-01-19

8.  Familial Adult-Onset Alexander Disease with a Novel GFAP Mutation.

Authors:  Hana Ogura; Futaba Maki; Naoshi Sasaki; Tomokatsu Yoshida; Yasuhiro Hasegawa
Journal:  Mov Disord Clin Pract       Date:  2016-02-11

9.  A Novel Mutation in the Adult-Onset Alexander's Disease GFAP Gene.

Authors:  Dhillon B Zaver; Nathan T Douthit
Journal:  Case Rep Med       Date:  2019-01-10

10.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

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