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NPJ Parkinson's Disease logoLink to NPJ Parkinson's Disease
. 2022 Nov 4;8:149. doi: 10.1038/s41531-022-00408-6

A multicenter study of genetic testing for Parkinson’s disease in the clinical setting

Anja Kovanda 1,#, Valentino Rački 2,#, Gaber Bergant 1, Dejan Georgiev 3,4, Dušan Flisar 3, Eliša Papić 2, Marija Brankovic 5, Milena Jankovic 6, Marina Svetel 5, Nataša Teran 1, Aleš Maver 1, Vladimir S Kostic 5, Ivana Novakovic 7, Zvezdan Pirtošek 3,8, Martin Rakuša 9, Vladimira Vuletić 2, Borut Peterlin 1,
PMCID: PMC9636217  PMID: 36333361

Abstract

Parkinson’s disease (PD) guidelines lack clear criteria for genetic evaluation. We assessed the yield and rationale of genetic testing for PD in a routine clinical setting on a multicenter cohort of 149 early-onset and familial patients by exome sequencing and semi-quantitative multiplex ligation-dependent probe amplification of evidence-based PD-associated gene panel. We show that genetic testing for PD should be considered for both early-onset and familial patients alike, and a clinical yield of about 10% in the Caucasian population can be expected.

Subject terms: Parkinson's disease, Genetic testing


Parkinson’s disease (PD) is a common extrapyramidal disorder with an onset around 65 years of age. Onset before age 50 is considered early-onset PD (EOPD), and ~15% of PD patients are familial (FPD). PD is a multifactorial disease, and an estimated 5–10% can be contributed to monogenic causes. Whereas patients with EOPD and FPD are generally considered to be at increased risk for monogenic genetic predisposition there is limited evidence on the clinical use of comprehensive genetic testing in these populations. Predominant pathogenic and likely pathogenic variants (P/LP) in PD genes are population and phenotype specific, and identifying those patients remains a diagnostic challenge1. Additionally, copy-number variants (CNV) may represent potential missing heritability2, and their presence should be examined in genes where known P/LP CNVs have been identified, such as SNCA, as well as in patients showing heterozygous SNV variants in AR PD genes such as PARK2 and PINK3.

The latest recommendations by EFNS/MDS-ES from 2013 regarding PD genetic testing precede accessibility of next-generation sequencing (NGS) in routine diagnostics and suggest testing should be individually decided and performed only for a few select genes4. In the last decade availability of NGS technology has enabled research of PD genetics to expand to many potential genes as well as rare variants59. However, the selection of the target gene panel is critical for effective translation into clinical practice, as clear clinical validity of an evaluated gene is required to classify variants according to the ACMG criteria for diagnosing monogenic disorders10. Furthermore, clinical reporting of variants must consider the proposed inheritance model for each PD-gene11.

The majority of previous genetic studies of PD looked at many target genes and reported several rare variants and candidate PD genes, with yields varying from 7.5% to as much as 43.5%1,59,1215. The higher reported yields should be examined carefully for clinical validity, as many of these genes do not satisfy the stringency of ACMG criteria for reporting, with clinically reportable results being limited to evidence-based PD-associated genes only. Indeed, to the best of our knowledge, there is only one study that focused on the causality of detected variants, like our own study, and reported a 7.5% clinical yield9. This highlights the difference between actual reportable variants compared to other studies that reported variants based on their P/LP prediction alone.

This lack of clear clinical guidelines on which patients warrant testing, and no consensus on the exact genes to test for PD, currently translates to a lack of genetic testing in routine clinical practice. Indeed, a survey from 2019 reported that 41% of experienced PD physicians did not perform genetic testing in the prior year and more than 80% referred less than 11 patients in that period16. Given the relatively high cost and low yield of genetic testing in PD, clinicians need to have clear data on which they can base their testing decisions.

Therefore, we aimed to evaluate the yield and rationale of genetic testing for PD in the routine clinical setting by testing EOPD and FPD patients, by using exome sequencing (ES) of a 35 evidence-based PD-associated gene panel, as evaluated by expert groups ClinGen17 and Genomics England18, followed by the complementary multiplex ligation-dependent probe amplification (MLPA) method. We hypothesize that routine genetic testing of PD should include only clearly disease-associated genes, and only variants consistent with the inheritance model of each gene are clinically relevant and represent true yield.

A total of 149 EOPD and FPD patients of Slavic ethnicity were included in the study (Table 1). Using ES, we detected a genetic contributor in 15 patients (10.1%), of which 14 had P/LP variants in GBA, and one had two P/LP variants in PARK2, an SNV and an exon 5 deletion detected using MLPA (Tables 1 and 2). No difference in the yield of causative P/LP variants was observed between the EOPD and FPD groups (X2 (1, N = 15) = 0.04, p = 0.85) (Table 1).

Table 1.

Patient’s characteristics.

Patients N (%) Sex M/F (%/%) Average age-of-onset years (range) Causative variant N (%) No causative variant N (%)
All 149 (100.0) 92/57 (61.7/38.3) 47 (24–87) 15 (10.1) 134 (89.9)
EOPD 76 (51.0) 51/25 (67.1/32.9) 42 (24–50) 8 (10.5) 68 (89.5)
FPD 73 (49.0) 41/32 (56.2/43.8) 52 (25–87) 7 (9.6) 66 (90.4)

EOPD sporadic early-onset PD, FPD familial PD.

Table 2.

Causative pathogenic and likely pathogenic variants.

Patient Age of onset (years) Patient group Gene variant Class Applied ACMG criteriaa
P006 41 EOPD GBA NM_000157.4:c.1226A > G P PS3, PM2, PM3_VSTR, PP2
P012 57 FPD
P014 68
P015 69
P002 32 EOPD GBA NM_000157.4:c.1448T > C P PS3, PM2, PM3_VSTR, PP2
P003 46
P013 59 FPD
P007 43 EOPD GBA NM_000157.4:c.586A > C LP PS3, PM2, PM3, PP2
P001 49
P011 51 FPD
P005 36 EOPD GBA NM_000157.4:c.1289C > T P PS3, PM2, PM3_STR, PP2
P004 50
P010 50 FPD GBA NM_000157.4:c.1090G > A P PS3_MOD, PM2, PM3_STR, PM5_SUP, PP2
P009 36 FPD GBA NM_000157.4:c.115 + 1G > A P PVS1, PM2, PM3_VSTR
P008 34 EOPD PARK2 NM_004562.3:c.823C > T P PS3, PM2, PM3_VSTR, PP2
PARK2 Exon 5 deletion LP PVS1_MOD, PM3_STR, PM2

P pathogenic, LP likely pathogenic, EOPD sporadic early-onset PD, FPD familial PD,

aACMG criteria modifiers = very strong (VSTR), strong (STR), moderate (MOD), or supporting (SUP).

The involvement of GBA P/LP variants in familial PD and their penetrance is complex1922, and our results showing P/LP variants in GBA to be the main reportable findings in our PD patients are in line with previous studies of PD patients of European ancestry5,7 as well as international studies23.

We identified the majority of causative P/LP using ES, however, MLPA revealed an additional 3 CNV in PARK2 (Supplementary information), one of which revealed a compound heterozygosity, leading to the genetic diagnosis in the patient. Therefore, to comprehensively address molecular pathology in the PD-associated genes, ES should be followed by MLPA as a complementary method. The two additionally detected heterozygous P/LP copy-number variants (CNV) in PARK2 detected by MLPA were classified as low-risk variants or risk-factors with incomplete penetrance, as no additional SNV P/LP in PARK2 were found in these two patients (Supplementary information).

Finally, variants of uncertain significance (VUS) in PD-associated genes were identified in 22 patients using ES (GBA in 8, LRRK2 in 5, ATP13A2 in 2, and ATP1A3, CSF1R, FTL, PLA2G6, SNCA, TUBB4A, and VPS35 each in one patient) (Supplementary information). At the moment, these results do not constitute clinically reportable findings, but since their role in PD pathogenesis may be resolved in the future, annual re-interpretation of such findings is advisable.

To conclude, our study identifies that genetic testing for PD should be considered in EOPD and FPD patients alike. Furthermore, a clear clinical testing focus should remain on a comprehensive set of validated/curated genes, and there is currently no rationale to test and classify variants in other genes in the clinical setting. By using these recommendations, a clinical yield of about 10% in the Caucasian population can be expected using ES and MLPA combined.

Methods

Our study cohort included 149 patients with PD, consecutively referred for routine genetic testing at the Clinical Institute of Genomic Medicine (CIGM)(Slovenia), and patients from Neurology departments Rijeka (Croatia) and Belgrade (Serbia), from January 2014 to October 2021.

All medical procedures in the study were performed in accordance with the ethical standards of the 1964 Helsinki Declaration and its later amendments or comparable ethical standards and national regulations of Slovenia, Croatia and Serbia.Written informed consent for genetic testing was obtained from the patients during their clinical appointment in the Slovenian, Croatian or Serbian language, granting the Clinical Institute of Genomic Medicine, where all the genetic testing was performed, rights to publish the findings of genetic testing in de-identified form in scientific literature. The informed consent statement was prepared according to National review board guidelines and approved by the Institutional Ethics Board at the University Medical Centre Ljubljana, Slovenia, and subsequently translated and approved for use by the Institutional Boards of Faculty of Medicine Rijeka, Croatia, and Faculty of Medicine, Belgrade, Serbia.

The inclusion criteria were confirmed clinical PD diagnosis based on United Kingdom Parkinson’s Disease Society Brain Bank clinical diagnostic criteria24, and either sporadic EOPD (<50 years) or familial PD (FPD) with at least one affected 1st-degree relative. Exclusion criteria were inconsistent clinical presentation, Parkinson-plus syndromes, idiopathic sporadic late-onset PD, or insufficient clinical information.

Gene panel analysis

ES was performed at CIGM using standardized protocols in use at the time of processing. In brief, we performed ES capture using TruSight One, TruSight Exome, Nextera Coding Exome, and IDT Exome capture kits (Illumina, San Diego, CA), Agilent SureSelect Human All Exon v2, v5, v6, and v7 capture kits (Agilent Technologies, Santa Clara, CA), as well as Twist Library Preparation Kit (Twist Bioscience, San Francisco, CA). Sequencing was performed on Illumina sequencing platforms in either 2 × 100 or 2 × 150 paired-end sequencing mode.

Initially, sequencing data analysis and variant interpretation were performed as previously described25,26. Archived raw data from all samples were re-analyzed using the most current software and annotation databases using a gene panel with ClinGen validated PD-associated genes17 (https://clinicalgenome.org/affiliation/40079/) and Genomics England panel for Parkinson’s disease and complex parkinsonism Version 1.718 (https://panelapp.genomicsengland.co.uk/panels/39/). Genes where tandem repeat expansions were previously reported as pathogenic have not been analyzed due to NGS limitations. Our final panel included the following genes (genes included in both panels are indicated in bold): ATP13A2, ATP1A3, C19orf12, CSF1R, DCTN1, DNAJC6, FBXO7, FTL, GBA, GCH1, GRN, LRRK2, LYST, MAPT, OPA3, PANK2, PARK7, PINK1, PLA2G6, PARK2, PRKRA, PTRHD1, RAB39B, SLC30A10, SLC39A14, SLC6A3, SNCA, SPG11, SPR, SYNJ1, TH, TUBB4A, VPS13A, VPS35, and WDR45.

Identified variants were classified according to the ACMG and AMP 2015 joint consensus recommendation10. The evidence support level was additionally weighted according to the ACGS recommendations where applicable27. Pathogenic and likely pathogenic (P/LP) variants in patients consistent with the inheritance model of individual gene disorders were considered clinically relevant.

Multiplex ligation-dependent probe amplification analysis

The semi-quantitative Multiplex Ligation-dependent Probe Amplification (MLPA) SALSA MLPA Probemixes P051 and P052 Parkinson mix assay (MRC Holland, Amsterdam, The Netherlands) were used for the detection of deletions or duplications in SNCA, PARK2, UCHL1, PINK1, PARK7, ATP13A2, LRRK2, and GCH1 genes.

Supplementary information

Supplementary table 1 (17.2KB, docx)

Acknowledgements

This work was supported in part by the Croatian Science Foundation (Grant IP-2019-04-7276), University of Rijeka (Grant uniri-biomed-18-1981353), Ministry of Education, Science and Technological Development of the Republic of Serbia, (Grant 175090 to V.S.K.), and the Slovenian Research Agency (Grants J3-9280 and V3-1911).

Author contributions

A.K. and V.R. contributed equally to this work and are co-first authors. All authors contributed substantially to the study. V.V. and B.P. conceptualized the research project. A.K., V.R., G.B., A.M., and B.P. organized and A.K., V.R., G.B., D.G., D.F., A.M., N.T., E.P., M.B., M.J., M.S., V.S.K., I.N., Z.P., M.R., V.V., and B.P. implemented the project. A.K., A.M., and B.P. designed the analyses, A.K., V.R., G.B., and A.M. performed the statistical analyses, and D.G., D.F., A.M., N.T., E.P., M.B., M.J., M.S., V.S.K., I.N., Z.P., M.R., V.V., and B.P. critically reviewed the data. A.K., V.R., and G.B. wrote the first draft of the manuscript, and G.B., D.G., D.F., A.M., N.T., E.P., M.B., M.J., M.S., V.S.K., I.N., Z.P., M.R., V.V., and B.P. reviewed and critically corrected the manuscript.

Data availability

The authors declare that the data supporting the findings of this study are available within the paper and its supplementary information files. Reported P/LP variants’ ClinVar database accession numbers (https://www.ncbi.nlm.nih.gov/clinvar/)28 are available in Supplementary information. The raw ES datasets generated during and analyzed during the current study are available from the corresponding author B.P. on reasonable request.

Competing interests

The authors declare no competing interests.

Footnotes

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

These authors contributed equally: Anja Kovanda, Valentino Rački.

Supplementary information

The online version contains supplementary material available at 10.1038/s41531-022-00408-6.

References

  • 1.Farlow, J. et al. Parkinson Disease Overview. In Genereviews® (University of Washington, Seattle, 1993).
  • 2.La Cognata V, Morello G, D’Agata V, Cavallaro S. Copy number variability in Parkinson’s disease: assembling the puzzle through a systems biology approach. Hum. Genet. 2017;136:13–37. doi: 10.1007/s00439-016-1749-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Jankovic MZ, et al. Identification of mutations in the PARK2 gene in Serbian patients with Parkinson’s disease. J. Neurol. Sci. 2018;393:27–30. doi: 10.1016/j.jns.2018.07.020. [DOI] [PubMed] [Google Scholar]
  • 4.Berardelli A, et al. EFNS/MDS-ES recommendations for the diagnosis of Parkinson’s disease. Eur. J. Neurol. 2013;20:16–34. doi: 10.1111/ene.12022. [DOI] [PubMed] [Google Scholar]
  • 5.Schormair B, et al. Diagnostic exome sequencing in early-onset Parkinson’s disease confirms VPS13C as a rare cause of autosomal-recessive Parkinson’s disease. Clin. Genet. 2018;93:603–612. doi: 10.1111/cge.13124. [DOI] [PubMed] [Google Scholar]
  • 6.Lin, C.-H. et al. A clinical and genetic study of early-onset and familial parkinsonism in Taiwan: An integrated approach combining gene dosage analysis and next-generation sequencing. Mov. Disord.34, 506–515 (2019). [DOI] [PMC free article] [PubMed]
  • 7.Trinh J, et al. Utility and implications of exome sequencing in early-onset Parkinson’s disease. Mov. Disord. 2019;34:133–137. doi: 10.1002/mds.27559. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Jiang Y, et al. Parkin is the most common causative gene in a cohort of mainland Chinese patients with sporadic early-onset Parkinson’s disease. Brain Behav. 2020;10:e01765. doi: 10.1002/brb3.1765. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Li N, et al. Whole-exome sequencing in early-onset Parkinson’s disease among ethnic Chinese. Neurobiol. Aging. 2020;90:150.e5–150.e11. doi: 10.1016/j.neurobiolaging.2019.12.023. [DOI] [PubMed] [Google Scholar]
  • 10.The ACMG Laboratory Quality Assurance Committee. 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;17:405–423. doi: 10.1038/gim.2015.30. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Singleton AB, Farrer MJ, Bonifati V. The genetics of Parkinson’s disease: Progress and therapeutic implications. Mov. Disord. 2013;28:14–23. doi: 10.1002/mds.25249. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Youn J, et al. Genetic variants of PARK genes in Korean patients with early-onset Parkinson’s disease. Neurobiol. Aging. 2019;75:224.e9–224.e15. doi: 10.1016/j.neurobiolaging.2018.10.030. [DOI] [PubMed] [Google Scholar]
  • 13.Siitonen A, et al. Genetics of early onset Parkinson’s disease in Finland: exome sequencing and genome-wide association study. Neurobiol. Aging. 2017;53:195.e7–195.e10. doi: 10.1016/j.neurobiolaging.2017.01.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Yemni EA, et al. Integrated analysis of whole exome sequencing and copy number evaluation in Parkinson’s Disease. Sci. Rep. 2019;9:3344. doi: 10.1038/s41598-019-40102-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Gaare JJ, et al. Meta-analysis of whole-exome sequencing data from two independent cohorts finds no evidence for rare variant enrichment in Parkinson disease associated loci. PLoS ONE. 2020;15:e0239824. doi: 10.1371/journal.pone.0239824. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Alcalay RN, et al. Genetic testing for Parkinson disease: current practice, knowledge, and attitudes among US and Canadian movement disorders specialists. Genet. Med. 2020;22:574–580. doi: 10.1038/s41436-019-0684-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Rehm, H. L. et al. ClinGen — The Clinical Genome Resource. N. Engl. J. Med. 372, 2235–2242 (2015). [DOI] [PMC free article] [PubMed]
  • 18.Martin, A. R. et al. PanelApp crowdsources expert knowledge to establish consensus diagnostic gene panels. Nat. Genet. 51, 1560–1565 (2019). [DOI] [PubMed]
  • 19.Nichols WC, et al. Mutations in GBA are associated with familial Parkinson disease susceptibility and age at onset. Neurology. 2009;72:310–316. doi: 10.1212/01.wnl.0000327823.81237.d1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Neumann J, et al. Glucocerebrosidase mutations in clinical and pathologically proven Parkinson’s disease. Brain. 2009;132:1783–1794. doi: 10.1093/brain/awp044. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Anheim M, et al. Penetrance of Parkinson disease in glucocerebrosidase gene mutation carriers. Neurology. 2012;78:417–420. doi: 10.1212/WNL.0b013e318245f476. [DOI] [PubMed] [Google Scholar]
  • 22.Menozzi E, Schapira AHV. Exploring the genotype–phenotype correlation in GBA-Parkinson disease: clinical aspects, biomarkers, and potential modifiers. Front. Neurol. 2021;12:694764. doi: 10.3389/fneur.2021.694764. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Skrahina V, et al. The Rostock International Parkinson’s Disease (ROPAD) Study: protocol and initial findings. Mov. Disord. J. Mov. Disord. Soc. 2021;36:1005–1010. doi: 10.1002/mds.28416. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Gibb WR, Lees AJ. The relevance of the Lewy body to the pathogenesis of idiopathic Parkinson’s disease. J. Neurol. Neurosurg. Psychiatry. 1988;51:745–752. doi: 10.1136/jnnp.51.6.745. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Bergant G, et al. Comprehensive use of extended exome analysis improves diagnostic yield in rare disease: a retrospective survey in 1,059 cases. Genet. Med. 2018;20:303–312. doi: 10.1038/gim.2017.142. [DOI] [PubMed] [Google Scholar]
  • 26.Ales M, et al. Phenotype-driven gene target definition in clinical genome-wide sequencing data interpretation. Genet. Med. 2016;18:1102–1110. doi: 10.1038/gim.2016.22. [DOI] [PubMed] [Google Scholar]
  • 27.Ellard, S. et al. ACGS Best Practice Guidelines for Variant Classification in Rare Disease 2020 (ACGS, 2020). [DOI] [PubMed]
  • 28.Landrum MJ, et al. ClinVar: improvements to accessing data. Nucleic Acids Res. 2020;48:D835–D844. doi: 10.1093/nar/gkz972. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary table 1 (17.2KB, docx)

Data Availability Statement

The authors declare that the data supporting the findings of this study are available within the paper and its supplementary information files. Reported P/LP variants’ ClinVar database accession numbers (https://www.ncbi.nlm.nih.gov/clinvar/)28 are available in Supplementary information. The raw ES datasets generated during and analyzed during the current study are available from the corresponding author B.P. on reasonable request.


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