quincunx: an R package to query, download and wrangle PGS Catalog data
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Updated
Jul 4, 2023 - R
quincunx: an R package to query, download and wrangle PGS Catalog data
Julia implementation of Ge et al's PRScs
single cell informed polygenic risk scoring in Parkinson's disease
INVESTIGATING THE ASSOCIATION BETWEEN POLYGENIC RISK SCORE OF ADIPOSE TISSUE FUNCTION AND CARDIOVASCULAR DISEASE
Machine Learning in Genomics and Healthcare (COMP 565) Project
Polygenic risk modeling with latent trait-related genetic components
Pipeline for PRS computation integrating diverse PRS algorithms into a unique Snakemake workflow.
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.
Family history and polygenic risk of cardiovascular disease: independent factors associated with secondary cardiovascular manifestations in patients undergoing carotid endarterectomy
Machine Learning in Genomics and Healthcare (COMP 565) Project
GAUDI: a penalized regression based PRS method designed specifically for admixed individuals
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.
Polygenic Risk Scores (PRS) pipeline.
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
Variational Inference of Polygenic Risk Scores
Python applications and libraries for working with PGS data and the PGS Catalog
quincunx: an R package to query, download and wrangle PGS Catalog data
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