Cross-Trait Penalized Regression using Summary Statistics
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Updated
Nov 14, 2021 - R
Cross-Trait Penalized Regression using Summary Statistics
Julia implementation of Ge et al's PRScs
single cell informed polygenic risk scoring in Parkinson's disease
Family history and polygenic risk of cardiovascular disease: independent factors associated with secondary cardiovascular manifestations in patients undergoing carotid endarterectomy
Bayesian PRS methods model uncertainty in effect size estimates and shrink small effect sizes to mitigate spurious associations and biases from sample overlap. By using full posterior distributions rather than point estimates, they effectively account for estimation errors and reduce the impact of artificially inflated associations.
INVESTIGATING THE ASSOCIATION BETWEEN POLYGENIC RISK SCORE OF ADIPOSE TISSUE FUNCTION AND CARDIOVASCULAR DISEASE
GAUDI: a penalized regression based PRS method designed specifically for admixed individuals
Polygenic Risk Scores (PRS) pipeline.
Machine Learning in Genomics and Healthcare (COMP 565) Project
Pipeline for PRS computation integrating diverse PRS algorithms into a unique Snakemake workflow.
Machine Learning in Genomics and Healthcare (COMP 565) Project
This repository contains the programming codes used in Genetic analysis of amyotrophic lateral sclerosis identifies contributing pathways and cell types https://advances.sciencemag.org/content/7/3/eabd9036
Polygenic risk modeling with latent trait-related genetic components
power calculator for Genetic Risk Scores (GRS)
Those are the code files for producing the PheWAS analyses in the manuscript "Phenome-Wide Association Study of Polygenic Risk Score for Alzheimer’s Disease in Electronic Health Records". Part of our analyses included sensitive genomic data. Codes to produce AD PRS were not included here.
(superseded by pygscatalog) Utilities for working with PGS Catalog API and scoring files
quincunx: an R package to query, download and wrangle PGS Catalog data
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