Machine Learning Identifies Six Genetic Variants and Alterations in the Heart Atrial Appendage as Key Contributors to PD Risk Predictivity.

Ho, Daniel; Schierding, William; Farrow, Sophie L; Cooper, Antony A; Kempa-Liehr, Andreas W; O'Sullivan, Justin M

Ho, Daniel; Schierding, William; Farrow, Sophie L; Cooper, Antony A; Kempa-Liehr, Andreas W; O'Sullivan, Justin M.

Afiliación

Ho D; Liggins Institute, The University of Auckland, Auckland, New Zealand.
Schierding W; Liggins Institute, The University of Auckland, Auckland, New Zealand.
Farrow SL; MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom.
Cooper AA; Liggins Institute, The University of Auckland, Auckland, New Zealand.
Kempa-Liehr AW; MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom.
O'Sullivan JM; Australian Parkinsons Mission, Garvan Institute of Medical Research, Sydney, NSW, Australia.

Front Genet ; 12: 785436, 2021.

Article en En | MEDLINE | ID: mdl-35047012

Palabras clave

Brain Cerebellum; GBA; PD-SNPs; Parkinson's disease; SNCA; heart atrial appendage; machine leaning; tissue specific eQTL

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Revista: Front Genet Año: 2021 Tipo del documento: Article País de afiliación: Nueva Zelanda

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