Functional variants identify sex-specific genes and pathways in Alzheimer’s Disease

Functional variants identify sex-specific genes and pathways in Alzheimer’s Disease

Abstract The incidence of Alzheimer’s Disease in females is almost double that of males. To search for sex-specific gene associations, we build a machine learning approach focused on functionally impactful coding variants. This method can detect differences between sequenced cases and controls in sm...

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Bibliographic Details
Main Authors: Thomas Bourquard, Kwanghyuk Lee, Ismael Al-Ramahi, Minh Pham, Dillon Shapiro, Yashwanth Lagisetty, Shirin Soleimani, Samantha Mota, Kevin Wilhelm, Maryam Samieinasab, Young Won Kim, Eunna Huh, Jennifer Asmussen, Panagiotis Katsonis, Juan Botas, Olivier Lichtarge
Format: Article
Language:English
Published: Nature Portfolio 2023-05-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-023-38374-z

Internet

https://doi.org/10.1038/s41467-023-38374-z

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