Fine-mapping of Parkinson's disease susceptibility loci identifies putative causal variants
Abstract
Recent genome-wide association studies have identified 78 loci associated with Parkinsons Disease susceptibility but the underlying mechanisms remain largely unclear. To identify variants likely causal for disease risk, we fine-mapped these Parkinsons-associated loci using four different statistical and functional fine-mapping methods. We then integrated multi-assay cell-type-specific epigenomic profiles to pinpoint the likely mechanism of action of each variant, allowing us to identify Consensus SNPs that disrupt LRRK2 and FCGR2A regulatory elements in microglia, MBNL2 enhancers in oligodendrocytes, and DYRK1A enhancers in neurons. Finally, we confirmed the functional relevance of fine-mapped SNPs using a suite of in silico validation approaches. Together, these results provide a robust list of likely causal variants underlying Parkinsons Disease risk for further mechanistic studies.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 39
- FWCI
- 2.87
- Field percentile
- top 7%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Parkinson-associated SNCA enhancer variants revealed by open chromatin in mouse dopamine neurons
Sarah A. McClymont, Paul W. Hook, … Andrew S. McCallion·The American Journal of Human GeneticsPeer-reviewed·Nov 29, 2018
- Association of a common genetic variant with Parkinson's disease is propagated through microglia
Rebekah G. Langston, Alexandra G. Beilina, … Mark Cookson·Science Translational MedicinePeer-reviewed·Jul 27, 2022
- Genome-wide association studies of LRRK2 modifiers of Parkinson's disease
Dongbing Lai, Babak Alipanahi, … Tatiana Foroud·Annals of NeurologyPeer-reviewed·May 3, 2021
- Establishing gene regulatory networks from Parkinson's disease risk loci
Sophie L. Farrow, William S. Schierding, … Justin Martin O'Sullivan·BrainPeer-reviewed·Jan 25, 2022
- Identification of novel variants, genes and pathways potentially linked to Parkinson's disease using machine learning
Eric Yu, Roxanne Larivière, … Ziv Gan‐Or·medRxiv·Jun 20, 2023
- Expanding Parkinson’s disease genetics: novel risk loci, genomic context, causal insights and heritable risk
Mike A. Nalls, Cornelis Blauwendraat, … Ciara García·The Lancet NeurologyPeer-reviewed·Nov 6, 2019