Literature DB >> 32677319

Parkin is the most common causative gene in a cohort of mainland Chinese patients with sporadic early-onset Parkinson's disease.

Yanyan Jiang1, Meng Yu1, Jing Chen1, Hong Zhou1, Wei Sun1, Yunchuang Sun1, Fan Li1, Luhua Wei1, Elmar H Pinkhardt2, Lin Zhang3, Yun Yuan1, Zhaoxia Wang1.   

Abstract

INTRODUCTION: Genetic mutations associated with early-onset Parkinson's disease (EOPD) vary widely among different ethnicities. We detected the genes associated with EOPD in a Chinese cohort using next-generation sequencing (NGS) combined with multiplex ligation-dependent probe amplification (MLPA) and analyzed the phenotypic characteristics of the mutation carriers.
METHODS: Cohort of 23 sporadic EOPD patients (onset age ≤ 45 years) were recruited. Genetic causes were identified by a targeted NGS panel containing 136 known extrapyramidal disease-causative genes. Multiplications or deletions of PD-causing genes were detected using the MLPA method. Demographic and clinical data were obtained, analyzed, and compared between patients with and those without Parkin gene variants.
RESULTS: We identified 14 pathogenic or likely pathogenic variants (12 in Parkin, 1 in LRRK2, and 1 in VPS13C) in 10 patients (43.5%) and 8 rare variants of uncertain significance in 9 patients (39.1%). Parkin (34.8%) was the most common causative gene among our patients cohort, and exon deletion (62.5%) was the main type of variant. Patients with Parkin mutations had a younger age of onset, longer delay in diagnosis, slower disease progression, higher frequency of hyperreflexia, fatigue, and less hyposmia compared to patients without Parkin mutations.
CONCLUSION: Our results revealed a higher prevalence of Parkin mutations in Chinese sporadic EOPD patients, and notably, exon deletion was the most common type of mutation. EOPD patients with Parkin mutations showed unique clinical characteristics.
© 2020 The Authors. Brain and Behavior published by Wiley Periodicals LLC.

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Keywords:  zzm321990Parkinzzm321990; Parkinson's disease; genetic; next-generation sequencing

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Year:  2020        PMID: 32677319      PMCID: PMC7507393          DOI: 10.1002/brb3.1765

Source DB:  PubMed          Journal:  Brain Behav            Impact factor:   2.708


INTRODUCTION

Parkinson's disease (PD) is the second most common neurodegenerative disease. It is characterized by bradykinesia, rest tremor, rigidity, postural instability, and a progressive loss of dopaminergic neurons. Even though approximately 5%–10% of PD cases have genetic association (Arkinson & Walden, 2018; Lunati, Lesage, & Brice, 2018), the early‐onset PD (EOPD) has a significantly higher probability of finding a genetic cause (Lunati et al., 2018). Previous studies have reported various causative genes in patients with EOPD with diverse detection rates ranging from 3.7% to 16.6% (Youn et al., 2019). Multigene panel tests and whole‐exome sequencing might be effective in identifying genetic variants in Chinese patients with EOPD as shown previously among patients from Korea (Youn et al., 2019), Germany (Trinh et al., 2019), India (Pandey, Tomar, Kumar, Dinesh, & Thelma, 2019), Finland (Siitonen et al., 2017), and United Kingdom (Sandor et al., 2017) and so on. Several studies have reported novel heterozygous mutation in Parkin gene using target region capture and high‐throughput sequencing in a single Chinese family with EOPD (Fang, Mao, Zhu, & Li, 2019; Huang et al., 2019; Shi et al., 2018). In recent findings, a clinical and genetic study of early‐onset and familial Parkinsonism in Taiwan including on 324 patients with EOPD and 247 Parkinsonism pedigree provides a better understanding of the genetic architecture of PD in eastern Asia and broadens the clinical spectrum of PD‐causing mutations (Lin, Chen, et al., 2019). Recently, domestic scholars provide a better understanding of the genetic architecture of PD among ethnic Chinese using whole‐exome sequencing(Li et al., 2020). Nevertheless, the research subjects and detection methods of these studies were heterogeneous. In order to provide more data characterizing the genetic basis of mainland Chinese EOPD, we performed next‐generation sequencing (NGS) and multiplex ligation‐dependent probe amplification (MLPA) in 23 Chinese patients with sporadic EOPD. Parkin (PARK2; OMIM#600116) encodes the E3 ubiquitin ligase, which plays an important role in mitochondrial quality control and turnover. Numerous variants throughout Parkin are linked to autosomal recessive PD (Arkinson & Walden, 2018). Parkin mutations are the most common cause of recessively inherited monogenic PD, accounting for about 8.6% of PD cases with disease onset below the age of 45 years (Kilarski et al., 2012). Younger age, lack of tremor, prominent gait impairment, and the involvement of lower extremities at the time of disease onset were the main characteristics. In addition, a delayed diagnosis was more frequently reported in patients with Parkin‐related EOPD (Borsche et al., 2019; Ruiz‐Lopez et al., 2019). Indeed, in the absence of genetic testing results, it is difficult to distinguish Parkin‐PD patients from EOPD patients without monogenic cause solely on clinical grounds (Borsche et al., 2019). To better depict the profile of Parkin‐PD patients, in the present study, we performed a comprehensive clinical evaluation of EOPD patients and compared patients with and without Parkin mutations.

MATERIALS AND METHODS

Subjects and clinical assessments

Unrelated patients, from outpatient and ward, with EOPD from September 2018 to October 2019 were recruited. The diagnosis of PD was based on the UK Brain Bank diagnostic criteria, and the patients with age of onset less than 45 years were categorized under EOPD. The study was approved by the Ethical Committees of Peking University First Hospital, and an informed written consent was taken from all the participants. We obtained basic demographic and clinical data, including sex, age, age of onset, disease duration, family history, and current medication. Unified Parkinson disease rating scale (UPDRS) and Hoehn and Yahr (H‐Y) stage were used for the clinical evaluation of both motor and nonmotor features during “off” state. Mini‐mental Status Examination (MMSE) was used for memory and cognitive assessment. We evaluated rapid eye movement (REM) sleep behavior disorder (RBD) using the RBD single‐question screen (RBDSQ). Patients with scores greater than 5, based on RBDSQ, were categorized as having probable RBD (Stiasny‐Kolster et al., 2015). Olfaction testing was performed using the China–Germany version Sniffin’ Sticks’ test (Pinkhardt et al., 2019). All the patients completed clinical evaluation, except one. Levodopa equivalent daily dose (LEDD) was calculated by an established dose equivalence method (Tomlinson et al., 2010).

Genetic tests

Genomic DNA was extracted from patients’ peripheral blood samples using standard procedures, and NGS was performed. Genetic analysis, using a designed gene panel covering 136 most prevalent extrapyramidal disease‐associated genes, was performed (Additional file 1: Table S1). Sanger sequencing with specific primers was performed to confirm the variants detected by NGS. We further performed the MLPA assay (MRC‐Holland, Amsterdam, The Netherlands) to detect exon rearrangements in causative genes, including DJ‐1, ATP13A2, PINK1, UCHL1, SNCA, Parkin, LRRK2, and GCH1. Variants were described according to the Human Genome Variation Society (HGVS) nomenclature using nucleotide and amino acid numbering based on published coding DNA reference sequences and protein reference sequences. Then, variants with population frequency over 1% in the dbSNP v137, Exome Variant Server, 1000 Genome, and in‐house Chinese database were filtered out, and only variants predicted to affect the coding regions (including nonsynonymous coding regions, splice acceptor and donor sites, and insertions or deletions [NS/SS/InDel]) were selected for further analysis. Additionally, variants were correlated with patients' phenotypes. Each novel sequence variant was classified as pathogenic, likely pathogenic, variant of uncertain significance, likely benign, or benign according to the 2015 American College of Medical Genetics and Genomics and Association for Molecular Pathology (ACMG‐AMP) guidelines (Richards et al., 2015). Pedigree analysis of the variants was performed among the available family members.

Statistical analysis

Descriptive and analytical statistics methods were applied using software SPSS 25.0. Data were presented as mean ± standard deviation (SD). Demographic data and clinical characteristics were compared between EOPD patients with or without Parkin gene variants. Quantitative data such as age at onset and disease duration was analyzed by Student's t test. Frequency data was compared between groups by chi‐square (χ 2) test or Fisher exact probability test. p < .05 was considered statistically significant.

RESULTS

Patient characteristics

Unrelated sporadic EOPD patients (23), with 35.48 ± 8.41 years being the mean age at onset and 7.48 ± 6.10 years as mean disease duration, were recruited into this study. Demographic and clinical variables of the subjects are shown in (Additional file 2: Table S2). On evaluating the motor symptoms, 10 patients (43.5%) showed tremor and dyskinesia, while 9 patients (39.1%) showed hyperreflexia. In terms of nonmotor symptoms, 34.8% of enrolled patients had fatigue, 47.8% had constipation, and 8.7% demonstrated RBD. None of the EOPD patients suffered from cognitive impairment. All the patients responded well to levodopa but 43.5% were complicated by peak‐dose dyskinesia. Six patients underwent bilateral subthalamic nucleus deep brain stimulation (DBS), all with good surgical outcomes.

Genetic results

NGS was performed in all of 23 unrelated EOPD patients (Table 1). After identification, 22 variants (12 in Parkin, 3 in LRRK2, 2 in VPS13C, 1 in DNAJC13, 1 in CHCHD2, 1 in FBXO7, and 2 in GBA) were detected in 17 participants (17/23, 73.9%). It is noteworthy that exon dosage variation in Parkin gene initially suspected in 6 patients by NGS was later confirmed by MLPA method. According to the ACMG guidelines, 14 pathogenic or likely pathogenic variants (12 in Parkin, 1 in LRRK2, and 1 in VPS13C) were detected in 10 patients (10/23, 43.5%), and 8 rare variants of uncertain significance (2 in LRRK2, 1 in VPS13C, 1 in DNAJC13, 1 in CHCHD2, 1 in FBXO7, and 2 in GBA) were detected in 9 patients (9/23,39.1%). Additionally, 2 patients (8.70%) had susceptibility genes GBA variants (p. F252I and p. L422R). Furthermore, and remarkably, several novel heterozygous variants were identified, including 1 with p.I1255V in DNAJC13, 1 with p.Q33H in CHCHD2, 1 with p.T3088P and 1 with p.K926R in the VPS13C gene.
TABLE 1

Genetic information of patients with EOPD genes carrying variants of uncertain significance and known mutations

IDSexAOO(year)GenecDNA positionAF in gnomADEffect on proteinType of variantsVariants PathogenicityCis/trans test
1F19 Parkin Ex6del*, HoDeletionPathogenicYes
2M30 Parkin c.920delT0p.L307Rfs*128FrameshiftLikely PathogenicYes
c.634T > C0p.C212RMissenseLikely Pathogenic
3M34 Parkin Ex2del*, HtDeletionPathogenicYes
Ex3−4del*, HtDeletionPathogenic
4F37 LRRK2 c.7153G > A*0.001711p.G2385RMissenseVUSNA
DNAJC13 c.3763A > G0p.I1255VMissenseVUS
5M33 Parkin Ex5−6del*, HtDeletionPathogenicYes
Ex6del*, HtDeletionPathogenic
CHCHD2 c.99G > C0p.Q33HMissenseVUSNA
7F35 LRRK2 c.6055G > A*0.000526p.G2019SMissensePathogenicNA
8M39 LRRK2 c.1256C > T*0.000486p.A419VMissenseVUSNA
9M13 Parkin Ex3del*, HtDeletionPathogenicYes
c.850G > C*0.000012p.G284RMissensePathogenic
10F45 LRRK2 c.7153G > A*0.001711p.G2385RMissenseVUSNA
VPS13C c.9262delA0p.T3088Pfs*25FrameshiftLikely Pathogenic
11M43 GBA c.754T > A*0.000044p.F252IMissenseVUSNA
12F31 LRRK2 c.2264C > T*0.000741p.P755LMissenseVUSNA
FBXO7 c.155A > G*0.00041p.Y52CMissenseVUS
15F42 GBA c.1265T > G*0p.L422RMissenseVUSNA
16F36 LRRK2 c.7153G > A*0.001711p.G2385RMissenseVUSNA
19M31 Parkin Ex5−9del*, HtDeletionPathogenicYes
c.634T > C0p.C212RMissenseLikely Pathogenic
20F22 Parkin Ex3del*, HtDeletionPathogenicYes
Ex6del*, HtDeletionPathogenic
22M35 Parkin c.97C > T*0.000032p.R33NonsensePathogenicYes
c.850G > C*0.000012p.G284RMissensePathogenic
23M42 VPS13C c.2777A > G0p.K926RMissenseVUSNA

Abbreviations: AF, allele frequency; AOO, age of onset; del, deletion; dup, duplication; EOPD, early‐onset Parkinson's disease; Ex, exon; F, female; gnomAD, Genome Aggregation Database; Ho, homozygous; Ht, heterozygous; M, male; NA, not available; VUS, variants of uncertain significance. *Reported variants.

Genetic information of patients with EOPD genes carrying variants of uncertain significance and known mutations Abbreviations: AF, allele frequency; AOO, age of onset; del, deletion; dup, duplication; EOPD, early‐onset Parkinson's disease; Ex, exon; F, female; gnomAD, Genome Aggregation Database; Ho, homozygous; Ht, heterozygous; M, male; NA, not available; VUS, variants of uncertain significance. *Reported variants. Notably, Parkin is the most common causative gene among our patients cohort. Since all eight patients with Parkin variants were sporadic, we analyzed whether the two variants were biallelic. Blood samples of the family members of five sporadic patients with Parkin variants (patients 2, 3, 9, 20, and 22) were taken for genetic testing to do cis/trans test. In patients 9 and 20, their fathers and mothers carried one of the variants, and in patients 2, 3, and 22, her sister and her brother carried one of the variants separately, all proving the in trans locations of the variants. The other three patients were considered as carrying biallelic mutation, since patient 1 had homozygous exon 6 deletion of Parkin, patient 5 had two heterozygous exon deletions (exon 5–6 and exon 6) and patient 19 had a heterozygous exon 5–9 deletion and a heterozygous point mutation in exon 6. So totally, 8 patients with Parkin biallelic variants were identified in this cohort, including 7 with compound heterozygous variants and 1 with homozygous variants. The frequency of types of Parkin variants is as follows: exon deletion (62.50%), missense (25.00%), nonsense (6.25%), and frameshift (6.25%) variants. Exon deletions can be found in homozygosis, in compound heterozygosis with another exon deletions, or point mutation.

Comparison of clinical data between patients with EOPD with and without Parkin gene variants

Upon comparing the clinical and demographic data in EOPD patients, with or without Parkin gene variants, those with Parkin gene variants had a younger age at onset (27.13 ± 8.10 vs. 39.93 ± 4.15), longer diagnostic delay (10.63 ± 5.71 vs. 1.83 ± 1.10), slower disease progression (14.13 ± 5.54 vs. 3.93 ± 2.12), lower grades of H‐Y(3.13 ± 0.83 vs. 2.20 ± 0.86), and higher frequency of hyperreflexia (75.0% vs. 20.0%) (all p < .05) (Table 2). For nonmotor symptoms, the frequency of fatigue was more common in those with Parkin gene variants (87.5% vs. 6.7%) with higher olfaction test score (13.71 ± 1.50 vs. 10.33 ± 3.13) (p < .01). Data on clinical and demographic characteristics, such as gender (p = .193), current age (p = .604), UPDRS‐III scores (p = .067), dyskinesia (p = .221), tremor (p = .379), cognition function (p = .785), constipation (p = 1.000), and levodopa equivalent doses (LEDD) (p = .742), were statistically insignificant.
TABLE 2

Demographic and clinical data of the enrolled patients with EOPD

VariableTotal subjects (n = 23)With Parkin variants(n = 8)Without Parkin variants (n = 15) p‐Value
Male, n (%)12 (52.2)6 (75.0)6 (40.0).193
Current age (years)42.96 ± 8.5841.25 ± 13.1943.87 ± 5.13.604
Age of onset(years)35.48 ± 8.4127.13 ± 8.1039.93 ± 4.15 .002 *
Delay in diagnosis (years)4.89 ± 5.4310.63 ± 5.711.83 ± 1.10 .003 *
Disease duration(years)7.48 ± 6.1014.13 ± 5.543.93 ± 2.12 .001 *
H‐Y stage2.52 ± 0.953.13 ± 0.832.20 ± 0.86 .025 *
UPDRS‐III30.91 ± 16.2040.14 ± 19.2726.60 ± 13.10.067
Dyskinesia, n (%)10 (43.5)5 (62.5)5 (33.3).221
Tremor, n (%)10 (43.5)2 (25.0)8 (53.3).379
Hyperreflexia, n (%)9 (39.1)6 (75.0)3 (20.0) .023 *
Fatigue, n (%)8 (34.8)7 (87.5)1 (6.7) .000 *
Hyposmia11.41 ± 3.1313.71 ± 1.5010.33 ± 3.13 .003 *
MMSE28.68 ± 1.2528.57 ± 1.6228.73 ± 1.10.785
RBD, n (%)2 (8.7)0 (0)2 (13.3)
Constipation, n (%)11 (47.8)4 (50.0)7 (46.7%)1.000
LEDD467.61 ± 265.94439.29 ± 276.55480.83 ± 269.67.742
DBS therapy6/232/84/15

Abbreviations: DBS, deep brain stimulation; EOPD, early‐onset Parkinson's disease; H‐Y, Hoehn and Yahr; LEDD, levodopa equivalent daily dose; MMSE, mini‐mental status examination; RBD, rapid eye movement sleep behavior disorder; UPDRS, unified Parkinson's disease rating scale.

p < .05. Bold indicates the data that had significant difference after pairwise comparison.

Demographic and clinical data of the enrolled patients with EOPD Abbreviations: DBS, deep brain stimulation; EOPD, early‐onset Parkinson's disease; H‐Y, Hoehn and Yahr; LEDD, levodopa equivalent daily dose; MMSE, mini‐mental status examination; RBD, rapid eye movement sleep behavior disorder; UPDRS, unified Parkinson's disease rating scale. p < .05. Bold indicates the data that had significant difference after pairwise comparison.

DISCUSSION

Our study identifies the genetic cause for sporadic EOPD (onset age ≤ 45 years) in a Chinese cohort using an integrated genetic approach. Of the 23 patients, 39.1% individuals may be explained by the detected variants. Parkin was the most prevalent causative gene in this cohort, since pathogenic/likely pathogenic variants of Parkin were identified in 34.8% patients. The detection rate for pathogenic gene variants varies widely among the previous studies, 3.8% in Polish (Koziorowski et al., 2010), 8.6% in UK (Kilarski et al., 2012), 10.8% in Southern Spain (Bandres‐Ciga et al., 2016), 23.1% in India (Pandey et al., 2019), 4.3% in Taiwan (Lin, Chen, et al., 2019), and 7.5% in China (Li et al., 2020). A wide variation was prevalent depending on the studied population, methods used, and the age of the subjects under study. In spite of the relatively small sample size, the efficiency of NGS was used to investigate the frequency of potentially pathogenic known PD genes mutations in EOPD, thus making NGS as an important clinical diagnostic tool in EOPD. It has been reported that Parkin mutations are highly diverse, and they include missense mutations and nonsense mutations, frameshifts, rearrangements with exon deletion or multiplications (Lunati et al., 2018). The systematic MDSGene review showed the following mutation types: the most common structural variants (43.2%) followed by missense mutations in 22.3% and frameshift mutations in 16.5% cases (Kasten et al., 2018). Our data show exon deletions (62.5%) as the most common types of Parkin variants, and the locations of these exon rearrangements in the Parkin gene were detected in exons 2–9. But, we did not found the deletion of exons 1,10‐12. The results indicate that exon dosage mutations in Parkin gene might be the main cause for sporadic EOPD, similar to the reports among other Chinese studies (Guo et al., 2010, 2015; Lin, Zeng, et al., 2019). Tang BS group (Guo et al., 2010) reported that 12.6% of the patients with sporadic EOPD (onset age ≤ 50) carried Parkin exon deletions by real‐time quantitative PCR analysis in 2010 and later another study in 2015 revealed 11.4% of EOPD patients (onset age ≤ 45) with Parkin exon rearrangements by MLPA assay, deletion being the main mutational cause, especially in exon 2–5 (Guo et al., 2015). A recent study by Lin, Zeng, et al. (2019) also showed exon copy number variations (CNVs) as relatively common in the Parkin gene (6.7%). Therefore, exon dosage mutation of Parkin is quite common in Chinese EOPD. Traditionally, CNVs were detected by real‐time quantitative PCR or MLPA, and however, recently NGS is useful for CNV detection because coding regions are enriched for causal genetic variation (Kadalayil et al., 2015). In our study, we initially suspected six patients with exon CNVs in the Parkin gene, as detected by NGS, which were then further confirmed by MLPA assay. MLPA assay is a practical and effective method for screening large deletions and duplications, particularly in small sample sizes (Wildförster & Dekomien, 2009). Therefore, MLPA is very valuable for establishing exon deletions, especially in patients who are highly suspected to be heterozygous carriers of Parkin gene variants or those who are seemingly mutation‐negative after sequencing. Therefore, our results revealed combined applications of the NGS and MLPA as effective methods for EOPD genetic diagnosis. Clinically, our data showed that compared to EOPD patients without Parkin variants, patients with Parkin variants had a longer diagnostic delay (10.63 ± 5.71 years). They were often being misdiagnosed as dopa‐responsive dystonia. Unusual presentations, such as lack of tremor, gait disorder, and the involvement of lower limbs, might also be contributing to the diagnostic delay (Ruiz‐Lopez et al., 2019). In addition, hyperreflexia, lack of hyposmia, and RBD might highlight some diagnostic challenges. Even though the cognitive function remains normal, the majority of EOPD patients had long disease duration. Various other phenotypic analyses have drawn similar results (Lohmann et al., 2003; Malek et al., 2016; Sixel‐Doring, Lohmann, Klein, Trenkwalder, & Mollenhauer, 2015; Song et al., 2020), thereby making it difficult for the early diagnosis of Parkin‐PD without performing a genetic test. Thus, genetic testing is essential for an accurate diagnosis and distinction between different forms of EOPD.

CONCLUSION

In conclusion, this study presents a systemic genetic analysis of a Chinese cohort to elucidate the genetic architecture of sporadic EOPD. Our results revealed a higher prevalence of Parkin mutations in Chinese patients with sporadic EOPD and emphasized its unique clinical characteristics. Considering the relative small size of the current cohort, studies with larger populations are needed to further elucidate genetic dispositions among Chinese patients.

CONFLICT OF INTEREST

The authors report no conflicts of interest in this work.

AUTHORS' CONTRIBUTIONS

Y.J, M.Y, Y.Y, and Z.W are responsible for the conception and design of the study. Y.J, M.Y, J.C, H.Z, W.S, Y.S, F.L, L.W, and Z.W were in charge of data collection and analysis of our study. Y.J drafted the manuscript. Y.Y and Z.W were responsible for the critical revision of the manuscript. E.P and L.Z approved the final version of the manuscript. Y.Y and Z.W should be considered joint senior authors. Table S1 Click here for additional data file. Table S2 Click here for additional data file.
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