Multi-ancestry genome-wide association meta-analysis of Parkinson’s disease
National Institutes of Health · Queen Mary University of London · +164 more institutions
Abstract
Although over 90 independent risk variants have been identified for Parkinson's disease using genome-wide association studies, most studies have been performed in just one population at a time. Here we performed a large-scale multi-ancestry meta-analysis of Parkinson's disease with 49,049 cases, 18,785 proxy cases and 2,458,063 controls including individuals of European, East Asian, Latin American and African ancestry. In a meta-analysis, we identified 78 independent genome-wide significant loci, including 12 potentially novel loci (MTF2, PIK3CA, ADD1, SYBU, IRS2, USP8, PIGL, FASN, MYLK2, USP25, EP300 and PPP6R2) and fine-mapped 6 putative causal variants at 6 known PD loci. By combining our results with…
Citation impact
- FWCI
- 48.67
- Percentile
- 100%
- References
- 62
Authors
300- JJJonggeol Jeffrey KimCorresponding
National Institutes of Health, Queen Mary University of London, National Institute on Aging
- DVDan Vitale
National Institutes of Health, National Institute of Neurological Disorders and Stroke, National Institute on Aging
- DVDiego Véliz Otani
University of Maryland, Baltimore, Instituto Nacional de Ciencias Neurológicas
- MMMichelle Mulan Lian
Agency for Science, Technology and Research, Nanyang Technological University, Genome Institute of Singapore
- KHKarl Heilbron
23andMe (United States)
Topics & keywords
- Biology
- Genome-wide association study
- Genetic association
- Expression quantitative trait loci
- Genetics
- Meta-analysis
- Disease
- Population
Funding
- UDU.S. Department of Health and Human ServicesAwards: ZO1 AG000535, ZIA AG000949
- MJMichael J. Fox Foundation for Parkinson's Research
- PFParkinson's Foundation
- MOMinistry of Education - SingaporeAward: MOE-T2EP30220-0005
- NINational Institutes of HealthAwards: ZO1 AG000535, ASAP-GP2
- MRMedical Research Council
- NMNational Medical Research CouncilAwards: MOH-000207, MOH-000559, 000207
- IUInnovate UK
- NINational Institute on AgingAwards: ZIA AG000949, ZO1 AG000535, AG000535
- NINational Institute of Neurological Disorders and Stroke