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Article

Improving predictive models for Alzheimer's disease using GWAS data by incorporating misclassified samples modeling.

PloS one - 1 Jan 2020

Romero-Rosales Brissa-Lizbeth, Tamez-Pena Jose-Gerardo, Nicolini Humberto, Moreno-Treviño Maria-Guadalupe, Trevino Victor

Abstract excerpt

Late-onset Alzheimer's Disease (LOAD) is the most common form of dementia in the elderly. Genome-wide association studies (GWAS) for LOAD have open new avenues to identify genetic causes and to provide diagnostic tools for early detection. Although several predictive models have been proposed using the few detected GWAS markers, there is still a need for improvement and identification of potential markers....

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Identifiers

PMID: 32324812
DOI: 10.1371/journal.pone.0232103
PMCID: PMC7179850

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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