Article

Polygenic hazard score models for the prediction of Alzheimer’s free survival using the lasso for Cox’s proportional hazards model

2024-04-22

Abstract excerpt

The prediction of the susceptibility of an individual to a certain disease is an important and timely research area. An established technique is to estimate the risk of an individual with the help of an integrated risk model, that is a polygenic risk score with added epidemiological covariates. However, integrated risk models do not capture any time dependence, and may provide a point estimate of the relative risk...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 48624282-643d-5b1d-b33f-c6d2f7efa526
DOI: 10.1101/2024.04.18.590111

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Polygenic hazard score models for the prediction of Alzheimer’s free survival using the lasso for Cox’s proportional hazards modelDOI 10.1101/2024.04.18.590111Read

Polygenic hazard score models for the prediction of Alzheimer's free survival using the lasso for Cox's proportional hazards model.Semantic proximity Read

Polygenic Hazard Score for Predicting Age-associated Risk of Alzheimer’s Disease in European Populations: Development and ValidationSemantic proximity Read

A smoothed version of the Lassosum penalty for fitting integrated risk modelsSemantic proximity Read

Polygenic hazard score: an enrichment marker for Alzheimer’s associated amyloid and tau depositionSemantic proximity Read

A Smoothed Version of the Lassosum Penalty for Fitting Integrated Risk Models Using Summary Statistics or Individual-Level Data.Semantic proximity Read

Polygenic risk and hazard scores for Alzheimer's disease predictionSemantic proximity Read

Multi-class Modeling Identifies Shared Genetic Risk for Late-onset Epilepsy and Alzheimer’s DiseaseSemantic proximity Read

Using Polygenic Hazard Scores to Predict Age at Onset of Alzheimer's Disease in Nordic Populations.Semantic proximity Read

Identifying Proteomic Prognostic Markers for Alzheimer’s Disease with Survival Machine Learning: the Framingham Heart StudySemantic proximity Read

Genetic and polygenic risk score analysis for Alzheimer's disease in the Chinese populationSemantic proximity Read

Polygenic hazard scores in preclinical Alzheimer disease.Semantic proximity Read

Unified Methods for Feature Selection in Large-Scale Genomic Studies with Censored Survival OutcomesSemantic proximity Read