Genetics in parkinson’s disease: From better disease understanding to machine learning based precision medicine
نویسندگان
چکیده
Parkinson’s Disease (PD) is a neurodegenerative disorder with highly heterogeneous phenotypes. Accordingly, it has been challenging to robustly identify genetic factors associated disease risk, prognosis and therapy response via genome-wide association studies (GWAS). In this review we first provide an overview of existing statistical methods detect associations between variants the phenotypes in PD GWAS. Secondly, discuss potential machine learning approaches better quantify move beyond understanding towards better-personalized treatment disease.
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ژورنال
عنوان ژورنال: Frontiers in Molecular Medicine
سال: 2022
ISSN: ['2674-0095']
DOI: https://doi.org/10.3389/fmmed.2022.933383