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Article

A simulative deep learning model of SNP interactions on chromosome 19 for predicting Alzheimer's disease risk and rates of disease progression.

Alzheimer's & dementia : the journal of the Alzheimer's Association - 1 Dec 2023

Bae Jinhyeong, Logan Paige E, Acri Dominic J, Bharthur Apoorva, Nho Kwangsik, Saykin Andrew J, Risacher Shannon L, Nudelman Kelly, Polsinelli Angelina J, Pentchev Valentin, Kim Jungsu, Hammers Dustin B, Apostolova Liana G

Abstract excerpt

BACKGROUND: Identifying genetic patterns that contribute to Alzheimer's disease (AD) is important not only for pre-symptomatic risk assessment but also for building personalized therapeutic strategies. METHODS: We implemented a novel simulative deep learning model to chromosome 19 genetic data from the Alzheimer's Disease Neuroimaging Initiative and the Imaging and Genetic Biomarkers of Alzheimer's Disease...

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Share to Alzheimer Disease
Share to Chromosomes, Human, Pair 19

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 37409680
DOI: 10.1002/alz.13319
PMCID: PMC10770299

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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