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Record W4401206289 · doi:10.1093/brain/awae188

Relevance of genetic testing in the gene-targeted trial era: the Rostock Parkinson’s disease study

2024· article· en· W4401206289 on OpenAlexaff
Ana Westenberger, Volha Skrahina, Tatiana Usnich, Christian Beetz, Eva-Juliane Vollstedt, Björn‐Hergen Laabs, Jefri J Paul, Filipa Curado, Snezana Skobalj, Hanaa Gaber, Maria Olmedillas, Xenia Bogdanović, Najim Ameziane, Nathalie Schell, Jan Aasly, Mitra Afshari, Pinky Agarwal, Jason Aldred, Fernando Alonso‐Frech, Roderick Anderson, Rui Araújo, David Arkadir, Micol Avenali, Mehmet Balal, Sandra Benizri, Sagari Betté, Perminder Bhatia, Michael Bonello, Pedro Braga‐Neto, Sarah Brauneis, Francisco Cardoso, Francesco Cavallieri, Joseph Claßen, Lisa J. Cohen, Della Coletta, David Crosiers, Paskal Cullufi, Khashayar Dashtipour, Meltem Demirkıran, Patrícia de Carvalho Aguiar, Anna De Rosa, Ruth Djaldetti, Okan Doğu, Maria Gabriela dos Santos Ghilardi, Carsten Eggers, Bülent Elibol, Aaron Ellenbogen, Sibel Ertan, G Fabiani, Björn Falkenburger, S. Farrow, Tsviya Fay-Karmon, Gerald J Ferencz, Erich Talamoni Fonoff, Yára Dadalti Fragoso, Gençer Genç, A Gorospe, Francisco Grandas, Doreen Gruber, Mark Gudesblatt, Tanya Gurevich, Johann Hagenah, Haşmet Hanağası, Sharon Hassin-Baer, Robert A. Hauser, Jorge Hernández‐Vara, Birgit Herting, Vanessa K. Hinson, Elliot Hogg, Eduardo Hummelgen, Kelly Hussey, Jon Infante, Stuart Isaacson, Serge Jaumà, Natalia Koleva‐Alazeh, Gregor Kuhlenbäumer, Andrea A. Kühn, Irene Litvan, Lydia López Manzanares, McKenzie Luxmore, Sujeena Manandhar, V. Marcaud, Katerina Markopoulou, Connie Marras, Mark McKenzie, Michele Matarazzo, Marcelo Merello, Brit Mollenhauer, John C. Morgan, Stephen Mullin, Thomas Musacchio, Bennett Myers, Anna Negrotti, Anette Nieves, Zeev Nitsan, Nader Oskooilar, Özgür Öztop Çakmak, Gian Pal, Nicola Pavese, Antonio Percesepe, Tommaso Piccoli, Carolina Pinto Souza, Tino Prell, Mark Pulera, Jason Raw, Kathrin Reetz, Johnathan Reiner, David Rosenberg, Marta Ruíz-López, Javier Ruiz-Martı́nez, Esther Sammler, Bruno Lopes Santos‐Lobato, Rachel Saunders‐Pullman, Ilana Schlesinger, Christine Schofield, Artur Francisco Schumacher Schuh, B.L. Scott, Ángel Sesar, S. James Shafer, Ray Sheridan, Monty Silverdale, Rani Sophia, Mariana Spitz, Pantelis Stathis, Fabrizio Stocchi, Michele Tagliati, Yen Tai, Annelies Terwecoren, Sven Thonke, Lars Tönges, Giulia Toschi, Vítor Tumas, Péter Urbán, Laura Vacca, Wim Vandenberghe, Enza Maria Valente, Franco Valzania, Lydia Vela, Caroline Weill, David Weise, Joanne Wojcieszek, Martin Wolz, Gilad Yahalom, Gül Yalçın Çakmaklı, Simone Zittel, Yair Zlotnik, Krishna Kumar Kandaswamy, Alexander Balck, Henrike Hanßen, Max Borsche, Lara M. Lange, Ilona Csóti, Katja Lohmann, Meike Kasten, Norbert Brüggemann, Arndt Rolfs, Christine Klein, Peter Bauer

Bibliographic record

VenueBrain · 2024
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsToronto Western HospitalUniversity of Toronto
FundersNational Institute of Neurological Disorders and StrokeDenali Therapeutics
KeywordsLRRK2Genetic testingDiseaseMedicineParkinson's diseaseClinical trialGeneticsOncologyBioinformaticsInternal medicineBiology

Abstract

fetched live from OpenAlex

Estimates of the spectrum and frequency of pathogenic variants in Parkinson's disease (PD) in different populations are currently limited and biased. Furthermore, although therapeutic modification of several genetic targets has reached the clinical trial stage, a major obstacle in conducting these trials is that PD patients are largely unaware of their genetic status and, therefore, cannot be recruited. Expanding the number of investigated PD-related genes and including genes related to disorders with overlapping clinical features in large, well-phenotyped PD patient groups is a prerequisite for capturing the full variant spectrum underlying PD and for stratifying and prioritizing patients for gene-targeted clinical trials. The Rostock Parkinson's disease (ROPAD) study is an observational clinical study aiming to determine the frequency and spectrum of genetic variants contributing to PD in a large international cohort. We investigated variants in 50 genes with either an established relevance for PD or possible phenotypic overlap in a group of 12 580 PD patients from 16 countries [62.3% male; 92.0% White; 27.0% positive family history (FH+), median age at onset (AAO) 59 years] using a next-generation sequencing panel. Altogether, in 1864 (14.8%) ROPAD participants (58.1% male; 91.0% White, 35.5% FH+, median AAO 55 years), a PD-relevant genetic test (PDGT) was positive based on GBA1 risk variants (10.4%) or pathogenic/likely pathogenic variants in LRRK2 (2.9%), PRKN (0.9%), SNCA (0.2%) or PINK1 (0.1%) or a combination of two genetic findings in two genes (∼0.2%). Of note, the adjusted positive PDGT fraction, i.e. the fraction of positive PDGTs per country weighted by the fraction of the population of the world that they represent, was 14.5%. Positive PDGTs were identified in 19.9% of patients with an AAO ≤ 50 years, in 19.5% of patients with FH+ and in 26.9% with an AAO ≤ 50 years and FH+. In comparison to the idiopathic PD group (6846 patients with benign variants), the positive PDGT group had a significantly lower AAO (4 years, P = 9 × 10-34). The probability of a positive PDGT decreased by 3% with every additional AAO year (P = 1 × 10-35). Female patients were 22% more likely to have a positive PDGT (P = 3 × 10-4), and for individuals with FH+ this likelihood was 55% higher (P = 1 × 10-14). About 0.8% of the ROPAD participants had positive genetic testing findings in parkinsonism-, dystonia/dyskinesia- or dementia-related genes. In the emerging era of gene-targeted PD clinical trials, our finding that ∼15% of patients harbour potentially actionable genetic variants offers an important prospect to affected individuals and their families and underlines the need for genetic testing in PD patients. Thus, the insights from the ROPAD study allow for data-driven, differential genetic counselling across the spectrum of different AAOs and family histories and promote a possible policy change in the application of genetic testing as a routine part of patient evaluation and care in PD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score0.352

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.299
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations89
Published2024
Admission routes1
Has abstractyes

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