Skip to main content
Wiley Open Access Collection logoLink to Wiley Open Access Collection
. 2020 Dec 14;36(4):1005–1010. doi: 10.1002/mds.28416

The Rostock International Parkinson's Disease (ROPAD) Study: Protocol and Initial Findings

Volha Skrahina 1, Hanaa Gaber 1, Eva‐Juliane Vollstedt 2, Toni M Förster 1, Tatiana Usnich 2, Filipa Curado 1, Norbert Brüggemann 2, Jefri Paul 1, Xenia Bogdanovic 1, Selen Zülbahar 1, Maria Olmedillas 1, Snezana Skobalj 1, Najim Ameziane 1, Peter Bauer 1, Ilona Csoti 3, Natalia Koleva‐Alazeh 3, Ulrike Grittner 1, Ana Westenberger 1, Meike Kasten 2, Christian Beetz 1,, Christine Klein 2, Arndt Rolfs 1; the ROPAD Study Group
PMCID: PMC8246975  PMID: 33314351

ABSTRACT

Background

Genetic stratification of Parkinson's disease (PD) patients facilitates gene‐tailored research studies and clinical trials. The objective of this study was to describe the design of and the initial data from the Rostock International Parkinson's Disease (ROPAD) study, an epidemiological observational study aiming to genetically characterize ~10,000 participants.

Methods

Recruitment criteria included (1) clinical diagnosis of PD, (2) relative of participant with a reportable LRRK2 variant, or (3) North African Berber or Ashkenazi Jew. DNA analysis involved up to 3 successive steps: (1) variant (LRRK2) and gene (GBA) screening, (2) panel sequencing of 68 PD‐linked genes, and (3) genome sequencing.

Results

Initial data based on the first 1360 participants indicated that the ROPAD enrollment strategy revealed a genetic diagnostic yield of ~14% among a PD cohort from tertiary referral centers.

Conclusions

The ROPAD screening protocol is feasible for high‐throughput genetic characterization of PD participants and subsequent prioritization for gene‐focused research efforts and clinical trials. © 2020 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Keywords: Parkinson's disease, observational clinical study, genetic factors, LRRK2, GBA


Parkinson's disease (PD) is the most prevalent neurodegenerative movement disorder. 1 Although the disease etiology remains elusive in the majority of cases, a multitude of monogenic forms for PD were described over the last 2 decades. 2 Meanwhile, variants in LRRK2 and GBA are recognized as being the most frequent cause3, 4 and risk factor, 5 respectively. The frequencies of these variants are particularly high in specific ethnicities (eg, Ashkenazi Jews and North African Berbers). Although numerous additional, less frequent forms of monogenic PD have been identified, 6 their overall rarity hampers the definition of the corresponding prevalence and mutational spectra by smaller‐scale studies. Moreover, the well‐documented heritability of the disease suggests that comprehensive genetic screening efforts will identify further PD‐linked genes. 7 Finally, a multitude of other genetic conditions may initially manifest as PD.8, 9 Despite the evident role of genetic factors, genetic testing of clinically diagnosed PD patients is not part of the standard‐of‐care testing, 10 impeding the identification of candidate participants for gene‐tailored research studies and clinical trials.

The present article introduces the Rostock International Parkinson's Disease (ROPAD) study, a recently initiated observational clinical study that enrolls participants for comprehensive genetic screening. It describes the general concept of the study, outlines its specific approaches, and presents preliminary data from the first 8 months of recruitment and analysis.

Patients and Methods

General Setting

The ROPAD study is an observational clinical study in a multicenter international setting. Its major goals are to (1) better understand the overall contribution of genetics to PD, (2) inform the downstream Lübeck International Parkinson's Disease (LIPAD) study (see below) and thereby support the characterization of specific genetic forms of PD, and (3) enable the establishment of well‐defined subcohorts (ie, different genetically defined groups of PD) for further analyses and follow‐up studies. The ROPAD study enrolls participants who have been diagnosed with PD and individuals who are at risk of manifesting a genetic form of the disease. Within an anticipated 30‐month recruitment period, approximately 100 study centers in more than 15 countries will be established. The planned total number of study participants is 10,000.

The ROPAD study has been approved by the Ethics Committee (EC) at the Medical Faculty of the University of Rostock (A 2019–0017), central and local institutional review boards, and central and local ECs of participating sites (listed in Supporting Information Methods S1). ROPAD is registered at www.clinicaltrials.gov (Identifier: NCT03866603). It is part of a larger collaboration between CENTOGENE GmbH, the University of Lübeck (Lübeck, Germany), and Denali Therapeutics Inc. (San Francisco, CA).

Inclusion Criteria

Recruited participants have to meet at least 1 of the following criteria: (1) clinical diagnosis of PD (cohort A), (2) first‐ or second‐degree relative of a participant who is positive for a pathogenic or likely pathogenic LRRK2 variant (cohort B), (3) North African Berber or Ashkenazi Jew (cohort C). For qualifying individuals who are at least 18 years old and consent to participation, a neurological examination is performed, medical and family histories are documented, and a dried blood spot (DBS) sample is collected.

Individuals with positive genetic findings are offered enrollment in the LIPAD study. This observational study, performed at the University of Lübeck (Germany), aims at comprehensive clinical examination of participants in a longitudinal follow‐up setting. In addition, ROPAD participants harboring pathogenic LRRK2 variants or other PD risk factors might be offered enrollment in future clinical trials with Denali Therapeutics Inc. and with other clinical trials.

Genetic Screening

Genomic DNA from DBSs is extracted and analyzed at CENTOGENE GmbH in a 3‐step screening approach for cohort A (Fig. 1). Step 1, performed for all participants, tests the presence of 11 pathogenic or likely pathogenic LRRK2 variants (Supporting Information Table S1) and analyzes the GBA coding sequence by an approach that combines a primary GBA‐specific long‐range polymerse chain reaction (PCR) with subsequent GBA exon‐specific PCR and next‐generation sequencing of the resulting products. 11 Given that variants in these 2 genes comprise the most frequent causes of monogenic PD, step 1 contributes considerably to an overall cost‐efficiency. If no reportable LRRK2 or GBA variants are identified (see Supporting Information Methods S1 for reporting policy) and a subject has consented for further analyses, a next‐generation sequencing panel targeting 68 genes that have an established or suspected relevance for PD is applied as step 2 (Supporting Information Table S2). In addition, the gene panel‐derived data are analyzed for copy number variants (CNVs). Negative findings in the first 2 steps, combined with strong evidence for a genetic etiology (defined as positive PD family history or disease onset at before age 56 years), triggers genome sequencing if consented on enrollment. For cohorts B and C, screening step 1 is performed only. Further details regarding data management, reporting of genetic findings, and statistical analyses can be found in Supporting Information Methods S1.

FIG. 1.

FIG. 1

Workflow for genetic analysis of participants in cohort A.

Results

Initial Recruitment Data

Eight months into the ROPAD study, a total of 1360 participants have been enrolled. Whereas 67 individuals belonged to cohorts B or C and 5 patients did not consent for the PD panel, 1288 participants from cohort A were eligible for comprehensive testing until step 2 of the study workflow (Fig. 1). The following description focuses on the latter, that is, on unrelated participants who have received a clinical diagnosis of PD and consented for the panel testing (Table 1).

TABLE 1.

Key categorical (A) and numerical (B) parameters of the cohort of 1288 ROPAD participants covered by the present study

A
Parameter Category Number of patients (% of total)
Sex Male 793 (61.6%)
Female 495 (38.4%)
Race Whites 1232 (96.4%)
Hispanics 22 (1.7%)
Asians 11 (0.9%)
Black Africans 7 (0.5%)
Others 6 (0.5%)
Family history Positive 353 (27.4%)
Negative 917 (71.2%)
Not provided 18 (1.4%)
On l‐dopa treatment at inclusion Yes 1126 (87.4%)
No 155 (12.0%)
Not provided 7 (0.5%)
B
Parameter Mean ± SD, y Median (range), y
Age at disease onset 60.2 (11.5) 61 (16–92)
Age at enrollment 67.0 (10.7) 68 (19–92)

The 1288 patients were recruited by 29 centers (1–295 patients per center; median, 20) from 8 countries (7–492 patients per country; median, 51.5). There were 793 male participants (61.6%), and whites represented the major ethnicity (n = 1232; 95.7%). Age at onset (mean ± SD, 60.2 ± 11.5 years; median, 61 years; range, 16–92 years) preceded age at enrollment (mean ± SD, 67.0 ± 10.4 years; median, 68 years; range, 19–92 years) by approximately 7 years. Family history of PD was positive for 353 patients (27.4%). At the time of inclusion, 1126 patients (87.4%) were receiving l‐dopa.

Initial Genetic Findings

Step 1 of the ROPAD genetic analysis pipeline was successfully accomplished in all 1288 PD patients, identifying 152 participants with positive genetic findings. Of those, 40 (3.1% of all) harbored pathogenic or likely pathogenic LRRK2 variants, 109 (8.5%) harbored reportable GBA variants, and 3 (0.2%) had alterations in both genes. The remaining 1136 patients (88.2%) entered step 2. PD panel sequencing has been completed in 807 of those participants, with reportable variants detected in 17 individuals (2.1%). The majority of these cases carried homozygous or (potentially) compound‐heterozygous variants in PRKN (n = 10, 58.8%), whereas 7 participants received 7 other distinct genetic diagnoses. The first 2 steps of our study have thus resulted in the identification of 169 patients with a genetic etiology of PD. Extrapolating from the 11.8% and 2.1% positive findings in steps 1 and 2, respectively, the current data correspond to a genetic diagnostic yield of ~14%.

The most frequently detected LRRK2 variant was c.6055G>A (p.Gly2019Ser), found in 23 cases. In GBA, the 2 most prevalent variants were c.1093G>A (p.Glu365Lys) and c.1223C>T (p.Thr408Met), identified in 35 and 32 participants, respectively. In PRKN, the third most frequently affected gene, 8 distinct CNVs accounted for 11 of the 20 mutant alleles. A heterozygous duplication of the whole SNCA gene was another remarkable finding.

Initial Genotype‐Associated Observations

In participants with negative findings in steps 1 and 2 (n = 790), the mean age at onset (AAO) was 58.5 ± 11.3 years, and thus comparable to the mean AAO of LRRK2 variant carriers (59.4 ± 11.5 years; P = 0.59). In contrast, the mean AAO in GBA variant carriers (55.8 ± 10.0 years) and in patients with PRKN‐associated PD (43.5 ± 17.8 years) was significantly lower (P = 0.02 and P < 0.01, respectively). The male‐to‐female ratio was 1.68 in the patients with no detected PD‐related variants. This proportion was not significantly different in those GBA risk‐factor positive (1.33; P = 0.30). However, the individuals with either genetically confirmed LRRK2‐ or PRKN‐associated PD displayed a trend toward a lower male‐to‐female ratio (1.00; P = 0.06).

Discussion

Carefully designed and executed epidemiological studies are a prerequisite for urgently needed translational and interventional PD research. In line with this, the primary objective of the ROPAD study is to determine the prevalence of different genetic PD forms among ~10,000 study participants. Currently, PD patients represent nearly 95% (1288 of 1360) of enrolled participants. Even at this very early stage of ROPAD, they comprise the largest PD cohort systematically and comprehensively screened for all known monogenic disease causes to date. Based on the extrapolation of the initial data, we estimate that up to 1400 of the ROPAD‐enrolled PD patients will receive a positive genetic test report. In nonpatient cohorts B and C, we expect to identify a considerable number of additional individuals who are positive for the LRRK2 or GBA variant. These will be of high value for follow‐up studies focusing on, for example, penetrance or the development of biomarkers for the corresponding genetic forms.

Thus far, our enrollment strategy has yielded a typical PD cohort in terms of AAO, sex distribution, and family history.12, 13, 14 Furthermore, the frequencies of variants in LRRK2, GBA, and PRKN are comparable to findings from previous screening studies targeting these 3 genes in single cohorts.3, 15, 16 As in the aforementioned reports, p.Gly2019Ser is the most frequent LRRK2 variant and p.Glu365Lys and p.Thr408Met are the most prevalent GBA alleles.15, 16 Notably, we have confirmed the observation that some patients might harbor variants in both LRRK2 and GBA. 15 The PRKN and SNCA CNVs in our patient cohort highlight the importance of a CNV pipeline, which is often not included in the analysis of gene panel sequencing data in other studies. As expected, GBA and PRKN variants were associated with lower AAO in our preliminary patient cohort,17, 18 whereas AAOs of patients with LRRK2 alterations were comparable to those without monogenic PD cause. 19 Finally, the proportion of male and female participants was approximately equal in individuals with LRRK2 and PRKN changes, whereas the male‐to‐female ratio was higher among GBA variant carriers and patients without PD‐relevant alterations, as previously reported.18, 19, 20

The individuals with positive genetic findings will be offered participation in the LIPAD study, which may contribute to uncovering valuable novel insights into PD. In combination, ROPAD and LIPAD can be expected to shed further light on numerous aspects that are of crucial value for the development of therapeutic strategies in PD, including reduced penetrance21, 22, 23 and variable expressivity.24, 25 Importantly, the ROPAD participants receiving a genetic diagnosis may be offered participation in ongoing or planned gene‐tailored clinical trials. ROPAD and LIPAD will also facilitate the development of diagnostic and monitoring biomarkers in well‐defined PD subgroups, in contrast to the heterogeneous participant populations that are typically employed for such discovery studies. 26 Finally, the genome sequencing performed as step 3 of our study may (1) disclose ‘hidden’ variants (deep intronic or regulatory alterations, balanced/complex rearrangements, etc.) in known genes, (2) confirm PD gene candidates as suggested in previous studies, and/or (3) lead to the identification of novel PD genes. Given that the majority of genetic PD forms resemble idiopathic PD at clinical, neuropathological, and pathophysiological levels;9, 27, 28, 29 further understanding of genetic PD through ROPAD may eventually also provide insights into various aspects of idiopathic PD.

Appendix

ROPAD study group investigators (in alphabetical order): Jan Aasly, St. Olav's Hospital, Trondheim, Norway; Pinky Agarwal, Booth Gardner Parkinson's Care Center, Kirkland, WA; Jason Aldred, Inland Northwest Research, Spokane, WA; Roderick Anderson, Tucson Neuroscience Research, Tucson, AZ; Perminder Bhatia, Neuro‐Pain Medical Center, Fresno, CA; Ilona Csoti, Gertrudis‐Kliniken im Parkinson‐Zentrum, Leun‐Biskirchen, Germany; Paskal Cullufi, University Hospital Center “Mother Teresa”, Tirana, Albania; Aaron Ellenbogen, Michigan Institute for Neurological Disorders, Farmington Hills, MI; Sibel Ertan, Koç University School of Medicine, Istanbul, Turkey; Giorgio Fabiani, Hospital Angelina Caron, Curitiba, Brazil; Björn Falkenburger, Universitätsklinikum Carl Gustav Carus, Dresden, Germany; Gerald Ferencz, Neuroscience Research Institute of NJ, Toms River, NJ; Mark Gudesblatt, South Shore Neurologic Associates, New York; Stuart Isaacson, Parkinson's Disease and Movement Disorder Center of Boca Raton, Boca Raton, FL; Singar Jagadeesan, M3 Wake Research Inc., Raleigh, NC; Christine Klein, Universität Lübeck, Lübeck, Germany; Omesh Kulkarni, Royal Preston Hospital, Preston, U.K.; Bennett Myers, Dent Neurologic Institute, Amherst, MA; Anette Nieves, Renstar Medical Research, Ocala, FL; Nicola Pavese, Newcastle University, Newcastle upon Tyne, U.K.; Jason Raw, Fairfield General Hospital, Bury, U.K.; Burton Scott, Duke University, Durham, NC; Stuart Shafer, Vero Beach Neurology & Research Institute, Vero Beach, FL; Lars Tönges, St. Josef‐Hospital, Bochum, Germany; Peter Urban, Asklepios Klinik Barmbek, Hamburg, Germany; Enza Maria Valente, Università di Pavia, Pavia, Italy.

Author Roles

  1. Research project: A. Conception, B. Organization, C. Execution;

  2. Statistical Analysis: A. Design, B. Execution, C. Review and Critique;

  3. Manuscript Preparation: A. Writing of the first draft, B. Review and Critique.

V.S.: 1A, 1B, 1C, 2A, 2B, 3A, 3B; H.G.: 1B, 1C, 3B; E.‐J.V.: 1A, 1B, 3B; T.F.: 1B, 1C, 3A, 3B; T.U.: 1A, 1B, 3B; F.C.: 1B, 1C, 3B; N.B.: 1A, 1B, 3B; J.P.: 1B, 1C, 3B; X.B.: 1B, 1C, 3B; S.Z.: 1B, 1C, 3B; M.O.: 1B, 1C, 3B; S.S.: 1B, 1C, 3B; N.A.: 1B, 2A, 2B, 3B; P.B.: 1A, 1B, 1C, 2C, 3B; I.C.: 1B, 1C, 3B; N.K.‐A.: 1B, 1C, 3B; U.G.: 2A, 2B, 2C, 3B; A.W.: 2A, 2B, 3A, 3B; M.K.: 1A, 2A, 3B; C.B.: 1B, 2A, 2B, 3A, 3B; C.K.: 1A, 1B, 2A, 2C, 3B; A.R.: 1A, 1B, 2A, 2C, 3B.

Supporting information

Table S1. List of LRRK2 variants screened for in ROPAD's analytical step 1

Table S2. List of 68 genes screened by panel sequencing in ROPAD's analytical step 2 (diagnostic genes have strong support for a role in the etiology of PD, whereas research genes are hypothesized genetic factors)

Table S3. Content of electronic case report form

Acknowledgments

We are grateful for the decision of every single participant to take part in this study, and we thank all principal investigators and their team members for enrolling participants. We also acknowledge Denali Therapeutics Inc. for partial funding of genetic testing.

Members of the ROPAD Study Group are listed in the Appendix.

Relevant conflicts of interest/financial disclosures: Volha Skrahina, Hanaa Gaber, Toni M. Förster, Filipa Curado, Jefri Paul, Xenia Bogdanovic, Selen Zülbahar, Maria Olmedillas, Snezana Skobalj, Najim Ameziane, Peter Bauer, Christian Beetz, and Arndt Rolfs are employees of CENTOGENE GmbH (Rostock, Germany). Ana Westenberger provides consultancy services around research projects for CENTOGENE GmbH. Christine Klein serves as a medical adviser to CENTOGENE GmbH for genetic testing reports in the fields of movement disorders and dementia but excluding Parkinson's disease.

Funding agencies: Denali Therapeutics Inc. (South San Francisco, CA) partially funded laboratory testing services.

References

  • 1. Ray Dorsey E, Elbaz A, Nichols E, et al. Global, regional, and national burden of Parkinson's disease, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol 2018;17:939–953. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Deng H, Wang P, Jankovic J. The genetics of Parkinson disease. Ageing Res Rev 2018;42:72–85. [DOI] [PubMed] [Google Scholar]
  • 3. Benitez BA, Davis AA, Jin SC, et al. Resequencing analysis of five Mendelian genes and the top genes from genome‐wide association studies in Parkinson's disease. Mol Neurodegener 2016;11:29. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Tolosa E, Vila M, Klein C, et al. LRRK2 in Parkinson disease: challenges of clinical trials. Nat Rev Neurol 2020;16:97–107. [DOI] [PubMed] [Google Scholar]
  • 5. Lesage S, Anheim M, Condroyer C, et al. Large‐scale screening of the Gaucher's disease‐related glucocerebrosidase gene in Europeans with Parkinson's disease. Hum Mol Genet 2011;20:202–210. [DOI] [PubMed] [Google Scholar]
  • 6. Bandres‐Ciga S, Diez‐Fairen M, Kim JJ, et al. Genetics of Parkinson's disease: an introspection of its journey towards precision medicine. Neurobiol Dis 2020;137:104782. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Farlow JL, Robak LA, Hetrick K, et al. Whole‐exome sequencing in familial Parkinson disease. JAMA Neurol 2016;73:68–75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Tadic V, Westenberger A, Domingo A, et al. Primary familial brain calcification with known gene mutations: a systematic review and challenges of phenotypic characterization. JAMA Neurol 2015;72:460–467. [DOI] [PubMed] [Google Scholar]
  • 9. Marras C, Lang A, van de Warrenburg BP, et al. Nomenclature of genetic movement disorders: recommendations of the international Parkinson and movement disorder society task force. Mov Disord 2016;31:436–457. [DOI] [PubMed] [Google Scholar]
  • 10. Alcalay RN, Kehoe C, Shorr E, 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] [PMC free article] [PubMed] [Google Scholar]
  • 11. Cullufi P, Tabaku M, Beetz C, et al. Comprehensive clinical, biochemical and genetic screening reveals four distinct GBA genotypes as underlying variable manifestation of Gaucher disease in a single family. Mol Genet Metab Rep 2019;21:100532. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Blauwendraat C, Heilbron K, Vallerga CL, et al. Parkinson's disease age at onset genome‐wide association study: defining heritability, genetic loci, and α‐synuclein mechanisms. Mov Disord 2019;34:866–875. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Kasten M, Chade A, Tanner CM. Epidemiology of Parkinson's disease. Handb Clin Neurol 2007;83:129–151. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Sellbach AN, Boyle RS, Silburn PA, et al. Parkinson's disease and family history. Parkinsonism Relat Disord 2006;12:399–409. [DOI] [PubMed] [Google Scholar]
  • 15. Robak LA, Du R, Yuan B, et al. Integrated sequencing & array comparative genomic hybridization in familial Parkinson's disease. Neurol Genet 2020;6:e498. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Schormair B, Kemlink D, Mollenhauer 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] [PubMed] [Google Scholar]
  • 17. Nichols WC, Pankratz N, Marek DK, et al. Mutations in GBA are associated with familial Parkinson disease susceptibility and age at onset. Neurology 2009;72:310–316. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Kasten M, Hartmann C, Hampf J, et al. Genotype‐phenotype relations for the Parkinson's disease genes Parkin, PINK1, DJ1: MDSGene systematic review. Mov Disord 2018;33:730–741. [DOI] [PubMed] [Google Scholar]
  • 19. Trinh J, Zeldenrust FMJ, Huang J, et al. Genotype‐phenotype relations for the Parkinson's disease genes SNCA, LRRK2, VPS35: MDSGene systematic review. Mov Disord 2018;33:1857–1870. [DOI] [PubMed] [Google Scholar]
  • 20. Neumann J, Bras J, Deas E, et al. Glucocerebrosidase mutations in clinical and pathologically proven Parkinson's disease. Brain 2009;132(pt 7):1783–1794. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Lee AJ, Wang Y, Alcalay RN, et al. Penetrance estimate of LRRK2 p.G2019S mutation in individuals of non‐Ashkenazi Jewish ancestry. Mov Disord 2017;32:1432–1438. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Anheim M, Elbaz A, Lesage S, et al. Penetrance of Parkinson disease in glucocerebrosidase gene mutation carriers. Neurology 2012;78:417–420. [DOI] [PubMed] [Google Scholar]
  • 23. Ji S, Wang C, Qiao H, et al. Decreased penetrance of Parkinson's disease in elderly carriers of glucocerebrosidase gene L444P/R mutations: a community‐based 10‐year longitudinal study. Mov Disord 2020;35:672–678. [DOI] [PubMed] [Google Scholar]
  • 24. Trinh J, Gustavsson EK, Vilariño‐Güell C, et al. DNM3 and genetic modifiers of age of onset in LRRK2 Gly2019Ser parkinsonism: a genome‐wide linkage and association study. Lancet Neurol 2016;15:1248–1256. [DOI] [PubMed] [Google Scholar]
  • 25. Wider C, Dickson DW, Wszolek ZK. Leucine‐rich repeat kinase 2 gene‐associated disease: redefining genotype‐phenotype correlation. Neurodegener Dis 2010;7(1–3):175–179. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Espay AJ, Brundin P, Lang AE. Precision medicine for disease modification in Parkinson disease. Nat Rev Neurol 2017;13:119–126. [DOI] [PubMed] [Google Scholar]
  • 27. Correia Guedes L, Mestre T, Outeiro TF, et al. Are genetic and idiopathic forms of Parkinson's disease the same disease? J Neurochem 2020;152:515–522. [DOI] [PubMed] [Google Scholar]
  • 28. Di Maio R, Hoffman EK, Rocha EM, et al. LRRK2 activation in idiopathic Parkinson's disease. Sci Transl Med 2018;10:eaar5429. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Gegg ME, Burke D, Heales SJR, et al. Glucocerebrosidase deficiency in substantia nigra of parkinson disease brains. Ann Neurol 2012;72:455–463. [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

Table S1. List of LRRK2 variants screened for in ROPAD's analytical step 1

Table S2. List of 68 genes screened by panel sequencing in ROPAD's analytical step 2 (diagnostic genes have strong support for a role in the etiology of PD, whereas research genes are hypothesized genetic factors)

Table S3. Content of electronic case report form


Articles from Movement Disorders are provided here courtesy of Wiley

RESOURCES