ArticleNeurobiology of aging2021
Association study of DNAJC13, UCHL1, HTRA2, GIGYF2, and EIF4G1 with Parkinson's disease.
Article in Neurobiology of aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 43 citations in OpenAlex.
- Systematic discovery of disease-modifying targets by prediction from knowledge graph-based AI model and experimental validation: Parkinson's disease case.Computational and structural biotechnology journal · 2026Article
- AP2M1 Is a Candidate Gene for Microcephaly and Intellectual Disability in 3q27.1 Deletions.American journal of medical genetics. Part A · 2025Article
- Review
- Clinical and Genetic Characteristics of Patients with Essential Tremor Who Develop Parkinson's Disease.Medicina (Kaunas, Lithuania) · 2025Article
- Article
- CoPPIs algorithm: a tool to unravel protein cooperative strategies in pathophysiological conditions.Briefings in bioinformatics · 2025Article
- Exome sequencing in Asian populations identifies low-frequency and rare coding variation influencing Parkinson's disease risk.Nature aging · 2025Article
- Parkinson's Disease Gene Screening in Familial Cases from Central and South America.Movement disorders : official journal of the Movement Disorder Society · 2024Article
- A potential patient stratification biomarker for Parkinson´s disease based on LRRK2 kinase-mediated centrosomal alterations in peripheral blood-derived cells.NPJ Parkinson's disease · 2024Article
- Association Analysis of Essential Tremor-Associated Genetic Variants in Sporadic Late-Onset Parkinson's Disease.Tremor and other hyperkinetic movements (New York, N.Y.) · 2024Article
- Fetal Ovarian Reserve: the Dynamic Changes in Ubiquitin C-Terminal Hydrolase L1.Reproductive sciences (Thousand Oaks, Calif.) · 2023Article
- Review
- Precision Medicine in Parkinson's Disease: From Genetic Risk Signals to Personalized Therapy.Brain sciences · 2022Review
- Monogenic Parkinson's Disease: Genotype, Phenotype, Pathophysiology, and Genetic Testing.Genes · 2022Review
- Genetic architecture of Parkinson's disease subtypes - Review of the literature.Frontiers in aging neuroscience · 2022Review
- The trinity of ribosome-associated quality control and stress signaling for proteostasis and neuronal physiology.BMB reports · 2021Review
- Review
- Proteomic analysis of bone marrow-derived mesenchymal stem cell extracellular vesicles from healthy donors: implications for proliferation, angiogenesis, Wnt signaling, and the basement membrane.Stem cell research & therapy · 2021Article
- Lack of evidence for association of UQCRC1 with Parkinson's disease in Europeans.Neurobiology of aging · 2021Article
- Genotype-Phenotype Correlations in Monogenic Parkinson Disease: A Review on Clinical and Molecular Findings.Frontiers in neurology · 2021Review
Corrections and comments
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Authors and funding
20 authors at 7 institutions in 4 countries.
Funding
Abstract
Rare mutations in genes originally discovered in multigenerational families have been associated with increased risk of Parkinson's disease (PD). The involvement of rare variants in DNAJC13, UCHL1, HTRA2, GIGYF2, and EIF4G1 loci has been poorly studied or has produced conflicting results across cohorts. However, they are still being often referred to as "PD genes" and used in different models. To further elucidate the role of these 5 genes in PD, we fully sequenced them using molecular inversion probes in 2408 patients with PD and 3444 controls from 3 different cohorts. A total of 788 rare variants were identified across the 5 genes and 3 cohorts. Burden analyses and optimized sequence Kernel association tests revealed no significant association between any of the genes and PD after correction for multiple comparisons. Our results do not support an association of the 5 tested genes with PD. Combined with previous studies, it is unlikely that any of these genes plays an important role in PD. Their designation as "PARK" genes should be reconsidered.
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Registered trials
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.