Evidence map›Paper›PMID 41988218›Full record

ArticleNeurology. Genetics2026

Parkinson Disease Pathogenic Variants: Cross-Ancestry Analysis and Microarray Data Validation.

Samantha Hong, Mathew J Koretsky, Jens Lichtenberg, Hampton L Leonard, Vanessa Pitz, as the Global Parkinson's Genetics Program (GP2)

Abstract read
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Article in Neurology. Genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Samantha HongCenter for Alzheimer's and Related Dementias, NIH, Bethesda, MD.ORCID https://orcid.org/0009-0001-8968-6461
Mathew J KoretskyCenter for Alzheimer's and Related Dementias, NIH, Bethesda, MD.ORCID https://orcid.org/0000-0003-4341-3991
Jens LichtenbergMolecular Neurogenetics Section, Medical Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, MD; and.ORCID https://orcid.org/0000-0002-0023-4937
Hampton L LeonardCenter for Alzheimer's and Related Dementias, NIH, Bethesda, MD.ORCID https://orcid.org/0000-0003-2390-8110
Vanessa PitzIntegrative Neurogenomics Unit (INU), Laboratory of Neurogenetics, NIH, Bethesda, MD.ORCID https://orcid.org/0000-0002-2964-5553
as the Global Parkinson's Genetics Program (GP2)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Known pathogenic variants (PVs) in Parkinson disease (PD) contribute to disease development but have yet to be fully explored by arrays on a large scale. This study evaluated genotyping success of the NeuroBooster array (NBA) and determined the frequencies of PVs across ancestries. Methods: We analyzed the presence and allele frequency of PVs in 28,710 PD cases, 9,614 other neurodegenerative disorder cases, and 15,821 controls across 11 ancestries within the Global Parkinson's Genetics Program (GP2) data set. Cluster plots were used to assess the quality of PVs genotyped on NBA. Results: Genes previously predicted to have high or very high confidence of causing PD tend to have more PVs and are present across ancestry groups. Of 34 known PD gene PVs assessed, 25 were typed by NBA and classified as "good" (n = 12), "medium" (n = 4), or "bad" (n = 9) quality variants. Discussion: Our results confirm the likelihood that established PD genes are pathogenic and highlight the importance of ancestrally diverse research in PD. We also show the usefulness of the NBA as a reliable tool for the genotyping of rare variants of PD.

Identifiers

PMID41988218
PMCPMC13078897

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.