Article

Winner’s curse correction and variable thresholding improve performance of polygenic risk modeling based on genome-wide association study summary-level data

2016-01-10

Abstract excerpt

Recent heritability analyses have indicated that genome-wide association studies (GWAS) have the potential to improve genetic risk prediction for complex diseases based on polygenic risk score (PRS), a simple modelling technique that can be implemented using summary-level data from the discovery samples. We herein propose modifications to improve the performance of PRS. We introduce threshold-dependent winner’s-cu...

Topics

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

Identifiers and source

Literature Corpus work: f67516de-c1f0-5f62-91f8-a16ae78de5f6
DOI: 10.1101/034082

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Winner’s curse correction and variable thresholding improve performance of polygenic risk modeling based on genome-wide association study summary-level dataDOI 10.1101/034082Read

Winner's Curse Correction and Variable Thresholding Improve Performance of Polygenic Risk Modeling Based on Genome-Wide Association Study Summary-Level Data.Semantic proximity Read

On prs for complex polygenic trait predictionSemantic proximity Read

Polygenic risk score prediction accuracy convergenceSemantic proximity Read

Prediction of Polygenic Risks by Screening Thousands of Polygenic ScoresSemantic proximity Read

SNP-based heritability and selection analyses: Improved models and new results.Semantic proximity Read

PGS-Depot: a comprehensive resource for polygenic scores constructed by summary statistics based methods.Semantic proximity Read

Optimizing and benchmarking polygenic risk scores with GWAS summary statisticsSemantic proximity Read

Optimizing and benchmarking polygenic risk scores with GWAS summary statistics.Semantic proximity Read

Improving polygenic risk prediction from summary statistics by an empirical Bayes approach.Semantic proximity Read

PUMAS: fine-tuning polygenic risk scores with GWAS summary statistics.Semantic proximity Read

Partitioning heritability by functional category using GWAS summary statisticsSemantic proximity Read

Fine-tuning Polygenic Risk Scores with GWAS Summary StatisticsSemantic proximity Read