Genomic landscape of cancer in racially and ethnically diverse populations
Cancer incidence and mortality rates can vary widely among different racial and ethnic
groups, attributed to a complex interplay of genetic, environmental and social factors …
groups, attributed to a complex interplay of genetic, environmental and social factors …
Genotype× environment interactions in gene regulation and complex traits
Genotype× environment interactions (GxE) have long been recognized as a key mechanism
underlying human phenotypic variation. Technological developments over the past 15 years …
underlying human phenotypic variation. Technological developments over the past 15 years …
Integrative polygenic risk score improves the prediction accuracy of complex traits and diseases
Polygenic risk scores (PRSs) are an emerging tool to predict the clinical phenotypes and
outcomes of individuals. We propose PRSmix, a framework that leverages the PRS corpus …
outcomes of individuals. We propose PRSmix, a framework that leverages the PRS corpus …
Causal interpretations of family GWAS in the presence of heterogeneous effects
Family-based genome-wide association studies (GWASs) are often claimed to provide an
unbiased estimate of the average causal effects (or average treatment effects; ATEs) of …
unbiased estimate of the average causal effects (or average treatment effects; ATEs) of …
The PRIMED Consortium: Reducing disparities in polygenic risk assessment
By improving disease risk prediction, polygenic risk scores (PRSs) could have a significant
impact on health promotion and disease prevention. Due to the historical oversampling of …
impact on health promotion and disease prevention. Due to the historical oversampling of …
All of Us diversity and scale improve polygenic prediction contextually with greatest improvements for under-represented populations
Recent studies have demonstrated that polygenic risk scores (PRS) trained on multi-
ancestry data can improve prediction accuracy in groups historically underrepresented in …
ancestry data can improve prediction accuracy in groups historically underrepresented in …
Genetic Prediction Modeling in Large Cohort Studies via Boosting Targeted Loss Functions
Polygenic risk scores (PRS) aim to predict a trait from genetic information, relying on
common genetic variants with low to medium effect sizes. As genotype data are high …
common genetic variants with low to medium effect sizes. As genotype data are high …
Population Performance and Individual Agreement of Coronary Artery Disease Polygenic Risk Scores
Abstract Importance Polygenic risk scores (PRSs) for coronary artery disease (CAD) are a
growing clinical and commercial reality. Whether existing scores provide similar individual …
growing clinical and commercial reality. Whether existing scores provide similar individual …
Dual exposure-by-polygenic score interactions highlight disparities across social groups in the proportion needed to benefit
The transferability of polygenic scores across population groups is a major concern with
respect to the equitable clinical implementation of genomic medicine. Since genetic …
respect to the equitable clinical implementation of genomic medicine. Since genetic …
Correlation-based tests for the formal comparison of polygenic scores in multiple populations
S Gunn, KL Lunetta - Plos Genetics, 2024 - journals.plos.org
Polygenic scores (PGS) are measures of genetic risk, derived from the results of genome
wide association studies (GWAS). Previous work has proposed the coefficient of …
wide association studies (GWAS). Previous work has proposed the coefficient of …