Polygenic prediction via Bayesian regression and continuous shrinkage priors
Polygenic risk scores (PRS) have shown promise in predicting human complex traits and
diseases. Here, we present PRS-CS, a polygenic prediction method that infers posterior …
diseases. Here, we present PRS-CS, a polygenic prediction method that infers posterior …
A new method for multiancestry polygenic prediction improves performance across diverse populations
Polygenic risk scores (PRSs) increasingly predict complex traits; however, suboptimal
performance in non-European populations raise concerns about clinical applications and …
performance in non-European populations raise concerns about clinical applications and …
Significant sparse polygenic risk scores across 813 traits in UK Biobank
We present a systematic assessment of polygenic risk score (PRS) prediction across more
than 1,500 traits using genetic and phenotype data in the UK Biobank. We report 813 sparse …
than 1,500 traits using genetic and phenotype data in the UK Biobank. We report 813 sparse …
Winner's curse correction and variable thresholding improve performance of polygenic risk modeling based on genome-wide association study summary-level data
Recent heritability analyses have indicated that genome-wide association studies (GWAS)
have the potential to improve genetic risk prediction for complex diseases based on …
have the potential to improve genetic risk prediction for complex diseases based on …
Leveraging effect size distributions to improve polygenic risk scores derived from summary statistics of genome-wide association studies
Genetic risk prediction is an important problem in human genetics, and accurate prediction
can facilitate disease prevention and treatment. Calculating polygenic risk score (PRS) has …
can facilitate disease prevention and treatment. Calculating polygenic risk score (PRS) has …
Improving polygenic prediction in ancestrally diverse populations
Polygenic risk scores (PRS) have attenuated cross-population predictive performance. As
existing genome-wide association studies (GWAS) have been conducted predominantly in …
existing genome-wide association studies (GWAS) have been conducted predominantly in …
[PDF][PDF] A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits
The development of polygenic risk scores (PRSs) has proved useful to stratify the general
European population into different risk groups. However, PRSs are less accurate in non …
European population into different risk groups. However, PRSs are less accurate in non …
Incorporating functional priors improves polygenic prediction accuracy in UK Biobank and 23andMe data sets
Polygenic risk prediction is a widely investigated topic because of its promising clinical
applications. Genetic variants in functional regions of the genome are enriched for complex …
applications. Genetic variants in functional regions of the genome are enriched for complex …
PRSice-2: Polygenic Risk Score software for biobank-scale data
SW Choi, PF O'Reilly - Gigascience, 2019 - academic.oup.com
Background Polygenic risk score (PRS) analyses have become an integral part of
biomedical research, exploited to gain insights into shared aetiology among traits, to control …
biomedical research, exploited to gain insights into shared aetiology among traits, to control …
Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations
M Elgart, G Lyons, S Romero-Brufau… - Communications …, 2022 - nature.com
Polygenic risk scores (PRS) are commonly used to quantify the inherited susceptibility for a
trait, yet they fail to account for non-linear and interaction effects between single nucleotide …
trait, yet they fail to account for non-linear and interaction effects between single nucleotide …