Background. Alzheimer's disease (AD) pathology often accumulates years before memory loss, creating a need to identify high-risk individuals presymptomatically. Polygenic risk scores (PRS) stratify AD risk, but individual-level predictions remain uncertain. Extreme PRS may identify high-risk individuals independent of...
Elizabeth L. Ward, Peter T. Nelson, Y. Katsumata et al.· medRxiv· 0 citations
Introduction: Polygenic risk scores (PRS) may improve Alzheimer's disease (AD) risk prediction before symptom onset, yet choosing an appropriate model can be challenging. Methods: Using the standardized GenoPred pipeline, 1,752 PRS models (9 algorithms; 584 configurations; 3 genome-wide association studies) were evalua...
Elizabeth L. Ward, Peter T. Nelson, Y. Katsumata et al.· medRxiv· 0 citations
It is demonstrated that nucleotide position within the input sequence alters the nature of SegmentNT’s raw prediction probabilities, which can be standardized to improve prediction consistency and identify potential approaches to account for these biases.
M. Ebbert, Anna Ho, Madeline L. Page et al.· Nucleic Acids Research· 0 citations
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