Exome sequencing in Asian populations identifies low-frequency and rare coding variation influencing Parkinson’s disease risk

Machine learning identifies novel genes and pathways involved in Parkinson’s disease.

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Our new GWAS on REM sleep behavior disorder identified several genetic risk factors with potential effects on gene expression in different brain region.

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We identified GALC as a potential gene involved in Parkinson’s disease

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The largest genetic study to date on dementia with Lewy bodies demonstrates overlap with both Parkinson’s and Alzheimer diseases