Multi-PGS enhances polygenic prediction: weighting 937 polygenic scores
The predictive performance of polygenic scores (PGS) in clinical risk models is largely
dependent on the number of samples available to train the score, together with the …
dependent on the number of samples available to train the score, together with the …
Multi-PGS enhances polygenic prediction by combining 937 polygenic scores
The predictive performance of polygenic scores (PGS) is largely dependent on the number
of samples available to train the PGS. Increasing the sample size for a specific phenotype is …
of samples available to train the PGS. Increasing the sample size for a specific phenotype is …
[PDF][PDF] Leveraging both individual-level genetic data and GWAS summary statistics increases polygenic prediction
The accuracy of polygenic risk scores (PRSs) to predict complex diseases increases with the
training sample size. PRSs are generally derived based on summary statistics from large …
training sample size. PRSs are generally derived based on summary statistics from large …
Improving Machine Learning Prediction of ADHD Using Gene Set Polygenic Risk Scores and Risk Scores from Genetically Correlated Phenotypes
E Barnett, Y Zhang-James, SV Faraone - MedRxiv, 2022 - medrxiv.org
Abstract Background Polygenic risk scores (PRSs), which sum the effects of SNPs
throughout the genome to measure risk afforded by common genetic variants, have …
throughout the genome to measure risk afforded by common genetic variants, have …
mtPGS: Leverage multiple correlated traits for accurate polygenic score construction
Accurate polygenic scores (PGSs) facilitate the genetic prediction of complex traits and aid
in the development of personalized medicine. Here, we develop a statistical method called …
in the development of personalized medicine. Here, we develop a statistical method called …
Using local genetic correlation improves polygenic score prediction across traits
Introduction The predictive utility of polygenic scores (PGS) is steadily increasing as genome-
wide association studies (GWAS) increase in sample size and diversity, and as PGS …
wide association studies (GWAS) increase in sample size and diversity, and as PGS …
Evaluation of polygenic scoring methods in five biobanks reveals greater variability between biobanks than between methods and highlights benefits of ensemble …
Methods to estimate polygenic scores (PGS) from genome-wide association studies are
increasingly utilized. However, independent method evaluation is lacking, and method 15 …
increasingly utilized. However, independent method evaluation is lacking, and method 15 …
Joint modeling of genetically correlated diseases and functional annotations increases accuracy of polygenic risk prediction
Accurate prediction of disease risk based on genetic factors is an important goal in human
genetics research and precision medicine. Advanced prediction models will lead to more …
genetics research and precision medicine. Advanced prediction models will lead to more …
Predicting polygenic risk of psychiatric disorders
Genetics provides two major opportunities for understanding human disease—as a
transformative line of etiological inquiry and as a biomarker for heritable diseases. In …
transformative line of etiological inquiry and as a biomarker for heritable diseases. In …
[PDF][PDF] A comprehensive evaluation of polygenic score methods across cohorts in psychiatric disorders
Polygenic scores (PGSs), which assess the genetic risk of individuals for a disease, are 28
calculated as a weighted count of risk alleles identified in genome-wide association studies …
calculated as a weighted count of risk alleles identified in genome-wide association studies …