Machine learning-based quantification for disease uncertainty increases the statistical power of genetic association studies

MOTIVATION: Allowance for increasingly large samples is a key to identify the association of genetic variants with Alzheimer’s disease (AD) in genome-wide association studies (GWAS). Accordingly, we aimed to develop a method that incorporates patients with mild cognitive impairment and unknown cogni...

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Detalles Bibliográficos
Autores principales: Park, Jun Young, Lee, Jang Jae, Lee, Younghwa, Lee, Dongsoo, Gim, Jungsoo, Farrer, Lindsay, Lee, Kun Ho, Won, Sungho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10539075/
https://www.ncbi.nlm.nih.gov/pubmed/37665736
http://dx.doi.org/10.1093/bioinformatics/btad534

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10539075/
https://www.ncbi.nlm.nih.gov/pubmed/37665736
http://dx.doi.org/10.1093/bioinformatics/btad534

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