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Scientific Reports logoLink to Scientific Reports
. 2016 Oct 25;6:35936. doi: 10.1038/srep35936

The use of targeted genomic capture and massively parallel sequencing in diagnosis of Chinese Leukoencephalopathies

Xiaole Wang 1,*, Fang He 1,*, Fei Yin 1,2, Chao Chen 3, Liwen Wu 1, Lifen Yang 1, Jing Peng 1,a
PMCID: PMC5078786  PMID: 27779215

Abstract

Leukoencephalopathies are diseases with high clinical heterogeneity. In clinical work, it’s difficult for doctors to make a definite etiological diagnosis. Here, we designed a custom probe library which contains the known pathogenic genes reported to be associated with Leukoencephalopathies, and performed targeted gene capture and massively parallel sequencing (MPS) among 49 Chinese patients who has white matter damage as the main imaging changes, and made the validation by Sanger sequencing for the probands’ parents. As result, a total of 40.8% (20/49) of the patients identified pathogenic mutations, including four associated with metachromatic leukodystrophy, three associated with vanishing white matter leukoencephalopathy, three associated with mitochondrial complex I deficiency, one associated with Globoid cell leukodystrophy (or Krabbe diseases), three associated with megalencephalic leukoencephalopathy with subcortical cysts, two associated with Pelizaeus-Merzbacher disease, two associated with X-linked adrenoleukodystrophy, one associated with Zellweger syndrome and one associated with Alexander disease. Targeted capture and MPS enables to identify mutations of all classes causing leukoencephalopathy. Our study combines targeted capture and MPS technology with clinical and genetic diagnosis and highlights its usefulness for rapid and comprehensive genetic testing in the clinical setting. This method will also expand our knowledge of the genetic and clinical spectra of leukoencephalopathy.


Leukoencephalopathies are disorders that primarily affect the white matter of the central nervous system (CNS). It contains acquired leukoencephalopathy1,2,3 (leukoencephalopathy induced by ischemia, hypoxia, intoxication, infection, traumatic brain injuries, etc.), genetic leukoencephalopathy4,5,6 (such as metachromatic leukodystrophy, globoid cell leukodystrophy, X-linked adrenoleukodystrophy, etc.) In addition, it also contains some mitochondrial diseases, cerebral cortical degenerative disorders, and so on. Clinically, after considering clinical history, symptoms and brain MRI features, doctors may be able to give a diagnosis for acquired leukoencephalopathies. However, leukoencephalopathy is a disease with high clinical heterogeneity and may involve in multiple genes, it is difficult even for experienced neurologists to make definite diagnosis7,8,9. Therefore, we are in urgent need of finding an efficient, economical, and practical method for diagnosing leukoencephalopathies.

In recent years, gene sequencing technology got amazing advancement. Whole exome sequencing (WES) represents a significant breakthrough in clinical genetic as a powerful tool for etiological discovery in many kinds of disorders10. Benefited from the WES technology, a lot more pathogenic genes have been found and many types of diseases have been identified11,12,13. Innovative application of new technologies is one of the major factors driving advances in medical science, most clinical applications of next-generation sequencing (NGS) concentrate on known and potential candidate genes to generate clear reports and finally promote clinical diagnosis14,15,16,17,18. Targeted gene capture and massively parallel sequencing (MPS) have been shown to be an effective technique for genetic analysis and have already led to many exciting discoveries19,20. To make a clear or definite diagnosis for those patients with leukoencephalopathies, we designed a custom probe library containing 118 genes reported to be associated with leukoencephalopathies (Table 1).

Table 1. 118 genes targeted fo capture and sequencing.

Gene NM number Chromosome Exons Gene NM number Chromosome Exons
ABAT NM_001127448 chr16 16 FTL NM_000146 chr19 4
ABCD1 NM_000033 chrX 10 FUCA1 NM_000147 chr1 8
ACOX1 NM_004035 chr17 14 GALC NM_000153 chr14 17
ADGRG1 NM_001290143 chr16 14 GAN NM_022041 chr16 11
AIMP1 NM_001142416 chr4 7 GCDH NM_000159 chr19 12
ALDH3A2 NM_001031806 chr17 11 GFAP NM_001242376 chr17 7
AMACR NM_014324 chr5 5 GJA1 NM_000165 chr6 2
APP NM_001136129 chr21 15 GJB1 NM_001097642 chrX 2
ARSA NM_001085428 chr22 8 GJC2 NM_020435 chr1 2
ARSE NM_000047 chrX 11 HEPACAM NM_152722 chr11 7
ASPA NM_000049 chr17 6 HSPD1 NM_199440 chr2 12
ATP13A2 NM_001141974 chr1 27 HTRA1 NM_002775 chr10 9
AUH NM_001698 chr9 10 L2HGDH NM_024884 chr14 10
BCAP31 NM_001256447 chrX 8 LMNB1 NM_001198557 chr5 11
BCS1L NM_001257344 chr2 8 MCCC1 NR_120640 chr3 19
C19orf12 NM_001256047 chr19 3 MGP NM_000900 chr12 4
CLCN2 NM_001171088 chr3 23 MLC1 NM_139202 chr22 12
COASY NM_001042529 chr17 10 MLYCD NM_012213 chr16 5
COX15 NM_004376 chr10 9 MPV17 NM_002437 chr2 8
COX6B1 NM_001863 chr19 4 NDUFA1 NM_004541 chrX 3
CP NR_046371 chr3 18 NDUFA10 NM_004544 chr2 10
CSF1R NM_005211 chr5 22 NDUFA11 NM_001193375 chr19 4
CTC1 NR_046431 chr17 22 NDUFA12 NM_018838 chr12 4
CYP27A1 NM_000784 chr2 9 NDUFA2 NM_001185012 chr5 3
DARS2 NM_018122 chr1 17 NDUFA9 NM_005002 chr12 11
DCAF17 NM_001164821 chr2 12 NDUFAF1 NR_045620 chr15 6
DDC NM_001242890 chr7 10 NDUFAF2 NM_174889 chr5 4
DLD NM_001289752 chr7 13 NDUFAF3 NM_199074 chr3 5
EIF2B1 NM_001414 chr12 9 NDUFAF4 NM_014165 chr6 3
EIF2B2 NM_014239 chr14 8 NDUFB3 NM_001257102 chr2 4
EIF2B3 NM_001166588 chr1 10 NDUFS1 NM_005006 chr2 19
EIF2B4 NM_015636 chr2 13 NDUFS2 NM_001166159 chr1 13
EIF2B5 NM_003907 chr3 16 NDUFS3 NM_004551 chr11 7
ERCC6 NM_000124 chr10 21 NDUFS4 NM_002495 chr5 5
ERCC8 NM_000082 chr5 12 NDUFS6 NM_004553 chr5 4
ETHE1 NM_014297 chr19 7 NDUFS7 NM_024407 chr19 8
FA2H NM_024306 chr16 7 NDUFS8 NM_002496 chr11 7
FAM126A NM_032581 chr7 11 NDUFV1 NM_007103 chr11 10
FASTKD2 NM_001136193 chr2 12 NDUFV2 NM_021074 chr18 8
FKTN NM_001079802 chr9 11 NOTCH3 NM_000435 chr19 33
FOLR1 NM_016729 chr11 4 NUBPL NM_025152 chr14 11
FOXRED1 NM_017547 chr11 11 PANK2 NM_153640 chr20 7
PC NM_001040716 chr11 23 SAMHD1 NM_015474 chr20 16
PEX1 NM_001282678 chr7 24 SCP2 NM_001007250 chr1 4
PEX10 NM_153818 chr1 6 SDHA NM_004168 chr5 15
PEX12 NM_000286 chr17 3 SDHAF1 NM_001042631 chr19 1
PEX13 NM_002618 chr2 4 SLC16A2 NM_006517 chrX 6
PEX16 NM_004813 chr11 11 SLC17A5 NM_012434 chr6 11
PEX26 NM_001199319 chr22 5 SOX10 NM_006941 chr22 4
PEX5 NM_001131025 chr12 16 SUMF1 NM_182760 chr3 9
PEX6 NM_000287 chr6 17 SURF1 NM_003172 chr9 9
PHYH NM_001037537 chr10 8 TRAPPC9 NM_001160372 chr8 23
PLA2G6 NM_003560 chr22 17 TREM2 NM_001271821 chr6 4
PLP1 NM_001305004 chrX 7 TREX1 NM_007248 chr3 2
POLR3A NM_007055 chr10 31 TUBB4A NM_001289131 chr19 4
POLR3B NM_001160708 chr12 28 TUFM NM_003321 chr16 10
PSAP NM_002778 chr10 14 TYMP NM_001113756 chr22 9
RNASET2 NM_003730 chr6 9 TYROBP NM_003332 chr19 5
RPIA NM_144563 chr2 9 WDR45 NM_007075 chrX 12

We embarked on this study to assess the utility and effectiveness of targeted capture and MPS technology in 49 Chinese leukoencephalopathy patients. To our knowledge, this is the first study to use targeted gene capture and sequencing for leukoencephalopathies. 40.8% positive rate confirmed that the implementation of this method can accelerate diagnosis, reduce overall cost, and expand our knowledge of the genetic and clinical spectra of leukoencephalopathies.

Results

Demographic and Clinical characteristics of the total 49 patients

We summarized the clinical characteristics of the total 49 patients enrolled in this study and found 39 are male and 10 are female. The age at onset of symptoms varied from 20 days to 7 years and the average onset age was almost 1.2 years. The main neurologic complaint of these patients include developmental delay/regression (27/49, 55.1%), epilepsy (15/49, 30.6%), weakness (7/49, 14.3%), ataxia (5/49, 10.3%) and dystonia (5/49, 10.3%). The severity of the disease course is reflected in the developmental milestones achieved. Two patients have suspected familial clustering. One has been diagnosed as adrenoleukodystrophy by gene testing. His mother’s elder brother had the same clinic feature and MRI findings, and died at his age of 12. The other one has been diagnosed as mitochondrial complex I deficiency, and his elder sister has a similar brain MRI changes without significant neurological disease manifestation. The wide spectrum of MRI findings was noted in the study. Abnormality in periventricular, subcortical white matter and cerebellar hemisphere were common. Lumbar puncture and CSF analysis were performed in 19 patients. None of them had a positive result.

Twenty patients were identified pathogenic mutations in this study, and their demographic and clinical characteristics were shown in Table 2. However, more than half (29/49, 59%) of patients in our study did not reach the diagnosis.

Table 2. Demographic and clinical feathers of patients with pathogenic mutations.

Case Diagnosis Sex, age (years) clinical manifestation Personal History Developmental milestones family history physical examination Auxiliary examinations Brain MRI
1 mitochondrial complex I deficiency Male, 0.9 Motor retardation G2P2 full-term normal delivery BW:3.05 kg bristling up head: 4M sit: incapable call mom: 10M His elder sister (4Y) has a similar brain MRI changes without obvious neurologic symptoms HC: normal; Hypertonia; hyper-reflexia; Strephexopodia; Elevated creatine kinase level(297 U/L; normal, <190 U/L); EEG (10M): normal; VEP, BAEP: normal MRI (11M): Diffuse and symmetric abnormal signal in central and subcortical white matter, hyperintense in the T2 and FLAIR sequences and were hypointense in T1-weighted sequence.
2 mitochondrial complex I deficiency Male, 0.4 Mental and motor retardation; seizure; G1P1 full-term normal delivery BW:2.0038 kg bristling up head: incapable normal HC: normal; Hypertonia; Tiptoe; Increased actate level (4.7 mmol/L; normal, 0.5–2.2 mmol/L); Elevated creatine kinase level (789.7 U/L; normal, <190 U/L); EMG: moderate peripheral demyelinating sensorimotor neuropathy; EEG: slow background; VEP: normal; BAEP: abnormal MRI (5M): symmetry abnormal signal in bilateral cerebellar hemisphere, hyperintense in the T2 and FLAIR sequences and were hypointense in T1-weighted sequence.
3 mitochondrial complex I deficiency Female, 3.1 Mental and motor retardation; G1P1 full-term normal delivery BW:2.5 kg bristling up head: 6M; sit: 1Y; walk without help: incapable; call mom: 14M normal HC: normal; Hypertonia; Horizontal nystagmus Actate level: normal; Elevated creatine kinase level (320.0 U/L; normal, <190 U/L); EMG: peripheral demyelinating sensorimotor neuropathy; MRI (2.8Y): symmetry abnormal signal in Periventricular and basal ganglia, hyperintense in the T2 and FLAIR sequences and were hypointense in T1-weighted sequence.
4 MLD Male, 2.5 extremities weakness; Motor regression; G2P2 full-term normal delivery BW:2.9 kg bristling up head: 3+M; sit without help: 7M walk without help: 12M call mom: 12M normal HC: normal Amyasthnia (1Y); Hypertonia(2Y); Hyper-reflexia(2Y); EMG: slow sensory and motor nerve conduction velocities; VEP: P100 latency increased; BAEP: latency prolonged; Brain CT: hypointense in Periventricular; MRI (2.4Y): abnormal signal in periventricular, “tigroid” symptom in T2-weighted sequence;
5 MLD Femal, 2.4 extremities weakness; Mental regression; G1P1 full-term Cesarean delivery BW:3.9 kg bristling up head: 3M sit without help: 7M walk without help: 15M call mom: 13M normal HC: normal; Amyasthnia (1.7Y); Hypertonia (2.2Y); Elevated creatine kinase level (337.5 U/L; normal, <190 U/L); EMG: slow sensory and motor nerve conduction velocities, demyelination and axonal damage; EEG: high voltage and slow wave; MRI (2.4Y): abnormal signal in periventricular, posterior limbs of internal capsules, hyperintense in the T2 and FLAIR sequences and were hypointense in T1-weighted sequence.
6 MLD Male, 2.5 Mental regression; G2P2; full-term; Cesarean delivery; BW:3.1 kg bristling up head:3+M; sit without help: 6+M walk without help:14M; call mom: 12M; normal HC: normal; Hypertonia (2.1Y); EMG: demyelination and axonal damage; EEG: high voltage and slow wave, irregular sharp wave in frontal area; MRI (2Y): abnormal signal in central and subcortical white matter, hyperintense in the T2 and FLAIR sequences and were hypointense in T1-weighted sequence.
7 MLD Male, 2.1 Mental regression; G2P1 full-term normal delivery BW:2.9 kg bristling up head:3M; sit without help: 7M; walk without help:15M; call mom: 12M; normal HC: normal; Amyasthnia (1.9Y); EMG: slow sensory and motor nerve conduction velocities; VEP: P100 latency increased; BAEP: latency prolonged; MRI (2Y): abnormal signal in the periventricular and the central white matter, “leopard skin”-like change in T2-weighted sequence
8 VWM Male, 3.5 Seizure; Mental and motor regression; G3P1 full-term normal delivery BW:3.2 kg bristling up head:3M sit without help: 7M walk without help:13M call mom: 12M normal HC: normal Hypertonia Ataxia EEG(3Y): Paroxysmal slow wave in sleep stage; MRI (3.5Y): diffused abnormal signal in the central deep and subcortical white matter, hyperintense in the T2 sequences, hypointense inT1 and FLAIR sequences; MRS: normal.
9 VWM Femal, 1.2 Seizure; hypotonia G1P1 full-term Cesarean delivery BW:3.0 kg bristling up head:3+M sit without help: 7M walk without help: incapable call mom: incapable normal HC: normal; Hypertonia; EEG (1.2Y): slow wave in sleep stage; EMG: normal; MRI (1Y): diffused abnormal signal in the central deep and subcortical white matter, hyperintense in the T2 sequence and hypointense in T1 and FLAIR sequence; MRS: normal.
10 VWM Male, 2.4 Seizure; Mental and motor regression; G1P1 full-term normal delivery BW:3.0 kg bristling up head:3M sit without help: 6M walk without help:12M call mom: 12M normal HC: normal; Hypertonia; Amyasthnia; EEG(2.2Y): Paroxysmal slow wave in REM state; EMG: normal; MRI (2.4Y): abnormal signal in the white matter of frontal lobe, temporal lobe and periventricular, hyperintense in the T2 sequence and hypointense in T1 and FLAIR sequence; MRS show high Cho crest.
11 MLC Male, 6.0 macrocephalus; seizure; motor retardation G1P1 full-term normal delivery BW:2.75 kg bristling up head:3M sit without help: 6M walk without help:14M call mom: 12M normal HC: 57 cm(6Y); Hypertonia; Hyperreflexia; Ataxia; EEG(6Y): spike waves, sharp waves in REM state, especially in the right temporal lobe; MRI (6Y): abnormal signal in the white matter of bilateral cerebral hemisphere, hyperintense in the T2 and FLAIR sequence, hypointense in T1 sequence; a 19*13 mm hypointense of right temporal lobe in FLAIR sequence
12 MLC Femal, 0.7 macrocephalus; Mental and motor retardation; G1P1 full-term Cesarean delivery BW:2.8 kg bristling up head: incapable sit without help: incapable normal HC: 48 cm(8M); Hypotonia; setting sun eye EEG(5M): spike waves in REM state, especially in the left temporal lobe; MRI(6M): cerebral hemispheric swelling, diffuse abnormal signal in the white matter of bilateral cerebral hemisphere, hyperintense in the T2 and FLAIR sequence, hypointense in T1 sequence; a 10*12 mm hypointense of left temporal lobe in FLAIR sequence
13 MLC Male, 1.7 macrocephalus; seizure; Mental and motor retardation; G4P2 full-term Cesarean delivery BW:2.57 kg bristling up head:6M sit without help: 12M walk without help: incapable call mom: 12M normal HC: 45.5 cm(4M); Hypotonia; EEG(1.5M): sharp waves in REM state; EMG: normal; MRI (1.5Y): abnormal signal in the white matter of bilateral cerebral hemisphere, hyperintense in the T2 and FLAIR sequence, hypointense in T1 sequence; a 6*10 mm hypointense of frontal lobe in FLAIR sequence
14 GLD Male, 2.8 Mental and motor regression; G2P2 full-term Cesarean delivery BW:3.0 kg bristling up head:3 + M sit without help: 6M walk without help: 18M call mom: 13M normal HC: normal Hyperreflexia Ataxia; EEG(2.5Y): sharp waves in left frontal, temporal lobe, slow background waves; EMG: normal; MRI (2.5Y): symmetry cerebral atrophy, abnormal signal in white matter of brainstem, posterior limb of internal capsule and cerebellum
15 PMD Male, 4.9 Mental and motor regression; G2P1 full-term normal delivery BW:3.0 kg bristling up head:5M sit without help: 14M walk without help: incapable call mom: 13M normal HC: normal Hyperreflexia Ataxia; VEP: P100 latency increased; BAEP: latency prolonged; MRI (4.5Y): diffuse abnormal signal of white matter, hyperintense in the T2 sequence; MRS: normal.
16 PMD Male, 2.0 Motor retardation; G1P1 full-term normal delivery BW:3.0 kg bristling up head:6M sit without help: 12M walk without help: incapable call mom: 12M normal HC: normal; Hypotonia; Nystagmus; VEP: normal; BAEP: latency prolonged; MRI (2Y): diffuse abnormal signal of white matter, hyperintense in the T2 sequence; MRS: normal.
17 X-ALD Male, 7 Motor regression G2P2 full-term normal delivery BW:3.1 kg bristling up head:4M sit without help: 8M walk without help: 15M call mom: 12M normal HC: normal; Dark complexion; Hypotonia Knee hyperreflexia ACTH > 440.4 pmol/L(normal:1.6-13.9 pmol/L); Cortisol: normal; PRL: 35.59 mg/ml(normal 3.46-19.0 mg/ml); EEG(7Y): slow background wave; VEP: normal; BAEP: normal; MRI (7Y): diffuse abnormal signal in callusom and brainstem, hyperintense in the T2 sequence, the signal were intensified in enhanced sequence, “butterfly”-like signal.
18 X-ALD Male, 7 Progressive vision loss; Motor regression; G4P2 full-term normal delivery BW:3.0 kg bristling up head:3M sit without help: 7M walk without help: 12M call mom: 12M The mother’s brother dead at 10 years old for unclear reason HC: normal; Dark complexion; Hypotonia Hyperreflexia Ataxia ACTH, Cortisol, PRL: normal; VEP: normal; BAEP: normal; MRI (6.5Y): diffuse abnormal signal in callusom and brainstem, hyperintense in the T2 sequence,
19 Zellweger syndrome Female, 5.8 developmental retardation G1P1 full-term normal delivery BW:2.7 kg bristling up head:5M sit without help: 12M walk without help: 2Y call mom: 2Y normal HC: normal Hypertonia Hyperreflexia Decreased visual; EEG: slow background activity with spike-and-wave discharge, localized in the right frontal and temporal region; EMG: normal; VEP: normal; BAEP: latency prolonged; MRI (5.8Y): abnormal hyperintense in the splenium of corpus callosum, adjacent parieto-occipital white matter, posterior limbs of internal capsules extending to centrum ovale, thalami and upper cervical spinal cord on FLAIR and T2 sequences; Gadolinium enhancement is visible on T1-weighted sequences in internal capsules and anterior commissure.
20 Alexander disease Male, 0.8 Seizure; developmental retardation G2P2 full-term Cesarean delivery BW:3.75 kg bristling up head:5M sit without help: incapable normal HC: 46.5(9M); Hypotonia EEG(9M): sharp wave, slow wave in frontward head; EMG: normal; VEP: normal; BAEP: normal. MRI (9M): abnormal signal of white matter in frontal and parietal lobe and periventricular, hyperintense in the T2 and FLAIR sequences, hypointense in T1 sequence.

Y = years; M = months; BW = birth weight; HC = head circumference; GDD = global developmental delay; EEG = electroencephalograms; EMG = electromyography; VEP = visual evoked potential; BAEP = brain auditory evoked potentials; MRI = magnetic resonance imaging; FLAIR Sequence = fluid-attenuated inversion recovery sequences; All the acronym of Diagnosis can see in the article.

Targeted capture and MPS sequencing results

In this study, 40.8% (20/49) exhibited pathogenic mutations, in which fifteen pathogenic variation sites have not yet been reported in HGMD. The proportion of each kind of disease diagnosed in our study is shown in Fig. 1. The most common disease diagnoses were metachromatic leukodystrophy (4/49, 8.2%), mitochondrial diseases (3/49, 6.1%), vanishing white matter disorder (3/49, 6.1%) and megalencephalic leukoencephalopathy with subcortical cysts (3/49, 6.1%). Details genetic data were summarized in Table 3.

Figure 1. The etiology composition of Leukoencephalopathies in this cohort.

Figure 1

(A) Flow diagram to exhibit workflow and results in this cohort. (B) Pie chart to exhibit the etiology composition of leukoencephalopathies in this cohort. MLD: metachromatic leukodystrophy, VWM: vanishing white matter disorder, AD: Alexander disease, PMD: Pelizaeus-Merzbacher Disease, X-ALD: X-linked adrenoleukodystrophy, MLC: megalencephalic leukoencephalopathy with subcortical cysts, GLD: globoid cell leukodystrophy.

Table 3. Gene identified by targeted capture and MPS in atypical leukoencephalopathy patients.

Probands Sex, age (years) Genomic coordinatesa Reference reads Variant reads Mutation gene cDNA Protein HGMD reported or not de novo/inherited ExAC_MAF 1000 genomes SIFT Mutation Taster PolyPhen-2 HumVarscore
1 M, 0.9 chr11:67376961 C > T 130 128 NDUFV1 c.338C > T (NM_001166102.1) p.Pro113Leu Unreported Paternal 0.00004118 Deleterious low confidence(0) Disease causing Probably damaging (1)
chr11:67377072 G > A 139 123 NDUFV1 c.449G > A (NM_001166102.1) p.Arg150Gln Unreported Maternal Deleterious low confidence(0) Disease causing Probably damaging (0.989)
2 M, 0.4 chr15:41688980 T > C 178 190 NDUFAF1 c.278A > G (NM_016013.3) p.His93Arg Reported Paternal Deleterious (0.01) Disease causing Benign(0.043)
chr15:41689011 C > T 125 115 NDUFAF1 c.247G > A (NM_016013.3) p.Asp83Asn Reported Maternal 0.0000329 Deleterious (0.03) Polymorphism Benign(0.349)
3 F, 3.1 chr1:161172233 C > A 27 27 NDUFS2 c.58C > A (NM_001166159.1) p.Pro20Thr Unreported Maternal 0.087 0.0865 Tolerated low confidence(0.34) Polymorphism automatic Benign(0.001)
chr1:161180394 C > T 86 64 NDUFS2 c.880C > T (NM_001166159.1) p.Arg294Trp Unreported Paternal Deleterious(0) Disease causing Probably damaging (1)
4 M, 2.5 chr22:51065317 A > G 60 64 ARSA c.371T > C (NM_001085428.2) p.Leu124Pro Unreported Paternal Deleterious(0) Disease causing Probably damaging (0.991)
chr22:51065757 C > A 52 33 ARSA c.44G > T (NM_001085428.2) p.Gly15Val Unreported Maternal Tolerated(0.2) Polymorphism Benign(0.116)
5 F, 3 chr22:51063758 -51063759insC 347 315 ARSA c.1087_1088insC (NM_001085428.2) p.Gly363 Alafs*124 Unreported Maternal Disease causing
chr22:51066021 -51066022insCA 196 188 ARSA c.187_188insCA (NM_000487.5) p.Asp63 Alafs*18 Unreported Paternal Disease causing
6 M, 2.5 chr22:51065689 C > T 0 47 ARSA c.370G > A (NM_000487.5) p.Gly124Ser Reported Paternal/Maternal 0.00001668 Deleterious (0.01) Disease causing automatic Possibly damaging(0.895)
7 M, 2.1 chr22:51063674-51063674insC 20 28 ARSA c.1170dupC (NM_001085428.2) p.Ser391 Glnfs*96 Unreported Paternal Disease causing
chr22:51065133 C > T 38 21 ARSA c.740G > A (NM_000487.5) p.Gly247Glu Unreported Maternal Deleterious(0) Disease causing Probably damaging(0.999)
8 M, 3.5 chr2:27587620 C > T 0 142 EIF2B4 c.1334G > A (NM_015636.3) p.Arg445His Reported Paternal/Maternal Deleterious(0) Disease causing Probably damaging(0.996)
9 F, 1.2 chr3:183857908 G > A 0 1136 EIF2B5 c.806G > A (NM_003907.2) p.Arg269Gln Reported Paternal/Maternal Deleterious (0.04) Disease causing Benign(0.402)
10 M, 2.4 chr3:183858366 G > C 417 549 EIF2B5 c.1004G > C (NM_003907.2) p.Cys335Ser Reported Paternal Tolerated (0.23) Disease causing Benign(0.084)
chr3:183860329 A > G 1001 796 EIF2B5 c.1484A > G (NM_003907.2) p.Tyr495Cys Reported Maternal 0.000008326 Deleterious(0) Disease causing automatic automatic Possibly damaging(0.621)
11 M, 6 chr22:50502592-50502599del 3 3 MLC1 c.924_929del (NM_139202.2) p.Leu309_Leu310del Reported Paternal polymorphism
chr22:50521562 G > A 70 94 MLC1 c.218G > A (NM_015166.3) p.Gly73Glu Reported Maternal Deleterious low confidence (0) Disease causing Probably damaging(1)
12 F, 0.7 chr22:50521562 C > T 0 88 MLC1 c.218G > A (NM_015166.3) p.Gly73Glu Reported Paternal Deleterious low confidence (0) Disease causing Probably damaging(1)
13 M, 1.7 chr22:50521562 C > T 0 388 MLC1 c.218G > A(NM_015166.3) p.Gly73Glu Reported Paternal/Maternal Deleterious low confidence (0) Disease causing Probably damaging(1)
14 M, 2.8 chr14:88411981 G > A 53 33 GALC c.1586C > T (NM_000153.3) p.Thr529Met Reported De novob 0.000066225 Deleterious (0.01) Disease causing Probably damaging (0.995)
chr14:88417067 G > A 29 33 GALC c.1187G > A (NM_000153) p.R396Q Unreported Paternal Deleterious(0) Disease causing Probably damaging (0.962)
15 M, 4.9 Duplication / / PLP1 / / Reported De novo  
16 M, 2 chrX:103043377 T > C 0 348 PLP1 c.634T > C (NM_000533.4) p.Trp212Arg Reported Maternal Deleterious(0) Disease causing Probably damaging (0.999)
17 M, 7 chrX:153002662 T > A 0 33 ABCD1 c.1445T > A (NM_000033.3) p.Val482Asp Unreported De novo Deleterious(0) Disease causing Benign(0.013)
18 M, 7 chrX:152991011 A > C 5 181 ABCD1 c.290A > C (NM_000033.3) p.His97Pro Reported Maternal Deleterious(0) Disease causing Probably damaging (0.99)
19 F, 5.8 chr6:42932599 G > A 59 62 PEX6 c.2735C > T (NM_000287.3) p.Ala912Val Unreported Paternal 0.000008326 Deleterious(0) Disease causing Probably damaging (1)
chr6:42937459: 42insT 38 26 PEX6 c.1313dupT (NM_000287.3) p.Glu439 Glyfs*6 Unreported Maternal 0.000008327 Disease causing
20 M, 0.8 chr17:42992605 T > A 63 33 GFAP c.250A > T (NM_001131019.2) p.Ile84Phe Unreported De novo Deleterious(0) Disease causing Probably damaging (0.97)

F = Female; M = Male; cDNA = complementary DNA; HGMD = The human gene mutation database.

ahg19.

bIt’s not sure whether the de novo mutation in patient 14 was in maternal allele or not.

Discussion

With the widespread use of imaging examinations in nervous system diseases, finding the pathogeny of cerebral white matter lesions becomes an important clinical clue for neurologists. Because of the strong heterogeneity of hereditary leukoencephalopathy, it is difficult even for experienced doctors to make a definitive diagnosis, and a multistep process is often needed7,21. Currently, routine clinical diagnostic tests for leukodystrophy often consist of screening for genes on the basis of ethnic origin, MRI features, family history, personal history and findings from physical examinations22. In China, the problem seems more serious, with the lack of a referral system, many patients and their families wasted valuable time, finances, and medical resources seeing various doctors and getting repeat examinations in search of a correct diagnosis. Some patients who could even be cured missed the opportunity for effective treatment. However, due to the high cost of Sanger sequencing for the long list of candidate genes, more effective genetic screening methods are needed.

In recent years, targeted capture and MPS technologies have been widely used in clinical practice and have got satisfactory results15,23,24,25,26,27,28. To this end, we designed the gene panel contains 118 genes which are reported to be associated with leukoencephalopathies, not only contains genes associated with genetic leukoencephalopathy, but also mitochondrial disease, cerebral cortical degenerative disorders, etc. associated genes. Then we designed the probe library and performed this study to assess the utility and effectiveness of targeted capture and MPS in diagnosing leukoencephalopathy patients.

In our study, 40.8% (20/49) of the patients detected pathogenic mutations, which is higher than that of other commercially available chips. In our department, the positive rate of a mitochondrial disease chip is only 9.5%, and that of a metabolic disease chip is 16% (data not shown). These differences may be explained by the variety of pathogenic mutations and lack of a specific clinical phenotype associated with these disorders. Moreover, the results achieved using the leukoencephalopathy probe library may be explained by the distinctive brain MRI patterns that characterize leukoencephalopathy that was seen in most of the patients, providing a guide in the diagnostic process. In addition, patients had been thoroughly examined before the screening for leukoencephalopathy-associated genes, and other secondary causes were already excluded.

Among the result, one patient (case 19) was diagnosed with Zellweger syndrome with PEX6 gene compound heterozygous mutations, PEX6 gene mutation is reported to be associated with Peroxisome biogenesis disorder 4A/B29,30. The patient in our study was a 5.9-year-old girl exhibiting mental and motor retardation for 5 years, and with deterioration for 3 months (Clinical features and auxiliary examinations are included in Table 2). Brain MRI showed symmetrically increased signal intensity in T2-weighted images with gadolinium enhancement in the posterior limbs of the internal capsules (Fig. 2). There was no diffuse restriction or gadolinium enhancement in the periventricular area and deep white matter, similar to the features of X- ALD31,32. However, this is a female and the ABCD1 gene in this patient exhibited a normal sequence and gene dosage. Given the diagnostic uncertainty, targeted capture and MPS were performed. Molecular testing identified PEX6 gene compound heterozygous mutations, supporting the Zellweger spectrum disorder diagnosis in this patient. Genetic analysis showed that the two mutation sites were respectively inherited from the parents. The result showed us the effectiveness of this targeted capture and MPS method for the diagnosis of leukoencephalopathies.

Figure 2. Brain MRI changes of case19 and the electropherogram of Sanger sequencing of the compound mutation of PEX6 gene.

Figure 2

On FLAIR and T2-weighted sequences, abnormal hyperintense is seen in the splenium of corpus callosum, adjacent parieto-occipital white matter, posterior limbs of internal capsules extending to centrum oval, thalami and upper cervical spinal cord. Gadolinium enhancement is visible on T1-weighted sequences in internal capsules and anterior commissure. The child detected missense mutation on chr6:42932599(c.2735C > T) and nonsense mutation on chr6:42937459(c.1313insT), which were respectively inherited from the parents. (a) Brain MRI T1-weighted image. (b) Brain MRI T2-weighted image. (c) Brain MRI flare image. (d) Brain MRI enhanced image. (e–g) The electropherogram of Sanger sequencing of the probands (e), the father (f) and the mother (g) on chr6:42932599. (h–j) The electropherogram of Sanger sequencing of the probands (h), the father (i) and the mother (j) on chr6:42937459.

The targeted capture and MPS method can not only diagnose genetic leukoencephalopathies, but also can make the diagnosis of mitochondrial diseases with white matter abnormal as the primary imaging changes. In our study, three of our patients had pathogenic gene mutations associated with mitochondrial complex I deficiency. Our team was the first to report leukoencephalopathy associated with mitochondrial complex I deficiency due to a novel mutation in the NDUFAF1 gene (c.278A > G; c.247G > A)33. Mitochondrial complex I deficiency is the most frequent cause of respiratory chain defects in childhood, which accounts for various clinical presentations34,35. As the report, mutations have been described in 28 of these, including the 7 mitochondrial genes and 21 nuclear genes. Brain lesions caused by mitochondrial complex 1 deficiency are usually located in the brainstem, periaqueductal gray matter, the thalamus, etc. While, diffuse supratentorial leukoencephalopathy involving the deep lobar white matter may also occur in patients with mitochondrial complex 1 deficiency, especially in patients with nuclear DNA (nDNA) mutations. Some patients were available with abnormal white matter containing cysts in FLAIR sequences, and other patients may have notably hyperintense on T2 and very hypointense on T1 weighted images, suggesting cysts33,36. Therefore, containing pathogenic genes associated with mitochondrial diseases can promote the diagnosis of patients with leukoencephalopathies.

The patients in our study came from six provinces in central-south China. Therefore, the results may represent the specific disease incidence in this region. When clinicians encounter children with prominent cerebral white matter lesions that can’t be explained by a certain disease, application of leukoencephalopathy probe library gene screening may be useful. Targeted capture and MPS can detect multiple candidate genes at the same time in a fast, cost-effective way, and can facilitate clinical diagnosis. Moreover, by reaching a definitive diagnosis for children with leukoencephalopathy, we can better judge the prognosis for patients and provide genetic counseling.

In summary, our data demonstrate that the use of targeted capture and MPS technology coupled with NGS has great promise as a tool for screening leukoencephalopathy-related genes for diagnostic purposes in patients. At the same time, genetic testing results combined with detailed clinical phenotypes help us expand our knowledge of the clinical spectra of each type of leukoencephalopathy. This method enables clinicians to identify leukoencephalopathy even the clinical performance is not typical. Moreover, the entire process of targeted capture, sequencing, analysis, and parental analysis was rapid (requiring only 10 days for up to 12 patients).

While targeted genomic capture and MPS technology also has its limitation, it can only identify the known pathogenic mutations. With the development of gene testing technology, a lot more pathogenic mutations will be detected, so the panel should be renewed with the latest findings, and the patients with negative results of genetic testing can be re-tested using the newest panel. With the fast development of NGS sequencing, the price will be more accessible, we can choose whole exome sequencing (WES) if the targeted analysis is unrevealing, or we can directly choose the WES technology. WES will be the inevitable trend, but under the condition of most countries and before this come true, our panel with cheap price, fast testing speed and strong pertinence, still have the irreplaceable advantage. Thus, we expect that this method can serve as an inspirational starting point. This technology will enable us to conduct straightforward, comprehensive screening for more known leukoencephalopathy-related genes, and to expand and redefine the genetic and clinical spectra of leukoencephalopathies.

Methods

Patients

From December 2013 to December 2015, 49 patients (10 female and 39 male) were recruited into our cohort. All of these patients have white matter damage as the most obvious imaging characteristic. Two pediatric neurologists and one radiologist made the decisions together, according to the medical history, family history, physical examination and magnetic resonance imaging (MRI), patients with obvious ischemia, hypoxia, intoxication or infection was not enrolled in our cohort. The study design was approved by institutional review board of Xiangya Hospital of Central South University, China. And the study procedures were carried out in accordance with the requirements of regulations and procedures regarding human subject protection laws. After obtaining informed consent from all participants, we recorded the clinical features of the patients and collected blood samples from the patients and their parents via venipuncture.

Panel design

We searched the OMIM and HGMD professional databases for genes which are reported to be associated with leukoencephalopathies. A custom-based targeted Agilent SureSelect pull-down panel was designed with the SureDesign program (Agilent Technologies). This target was 0.7 Mb of sequence from the coding exons (GRCh37/hg19 human reference sequence, UCSC Genome Browser) of 118 related candidate or known genes.

Genetic testing

Genomic DNA was isolated from peripheral blood leukocytes (Promega, Beijing). Target-fragments are capture by SureDesign target enrichment kit (Agilent, Santa Clara, CA) and high throughput sequencing by HiSeq2500 sequencer (Illumina Inc, San Diego, CA) were conducted in house. Overall, 49 samples were sequenced pre lane and the mean depth is 583X.

Bioinformatic Pipeline

For the quality control, the Cutadapt and FastQC were used to remove 3′-/5′- adapters andlow-quality reads, respectively. The clean reads were mapped to the reference human genome using the BWA (Burrows–Wheeler Aligner) program with at most two mismatches. The alignment files (bam) were generated with SAM tools and the reads of low mapping quality (<Q30) were filtered out. Clonal duplicated reads that may be derived from PCR artifacts were removed using Picard Tools by default parameters. Short read alignment and annotation visualization were performed using the IGV (Integrative Genomics Viewer). The percentage of alignment of the clean read to the exome regions was obtained using our custom Perl scripts on the base of alignment files. SNVs and indels were detected by GATK (Genome Analysis ToolKit). Comprehensive annotation of all of the detected SNVs and indels were annotated by ANNOVAR, including function implication (gene region, functional effect, mRNA GenBank accession number, amino acid change, cytoband, etc.) and allele frequency in 1000 Genomes, ExAc. Damaging missense mutations were predicted by SIFT, PolyPhen-2 and MutationTaster.

Additional Information

How to cite this article: Wang, X. et al. The use of targeted genomic capture and massively parallel sequencing in diagnose of Chinese Leukoencephalopathies. Sci. Rep. 6, 35936; doi: 10.1038/srep35936 (2016).

Acknowledgments

This work was supported by the National Natural Science Foundation of China [grant number 81371434, 81370771, 31571312]; the Hunan Province Key Technology Support Program [grant number 2015SK2019, 2015JJ3151, 2011FJ3163], and Graduate Student Innovation Project of Central South University (2015zzts294). We thank the participants and clinicians who took part in the study.

Footnotes

The authors declare no competing financial interests.

Author Contributions X.W. and F.H. discussed the results, wrote the most manuscript text; F.Y., L.W. and L.Y. clinically evaluated the patients, discussed the results; C.C. performed genetic analyses, discussed the results; J.P. conceived the study, clinically evaluated the patients, performed genetic analyses, discussed the results. All authors reviewed the manuscript.

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