Principles and methods for transferring polygenic risk scores across global populations
Polygenic risk scores (PRSs) summarize the genetic predisposition of a complex human trait
or disease and may become a valuable tool for advancing precision medicine. However …
or disease and may become a valuable tool for advancing precision medicine. However …
Biobank-scale methods and projections for sparse polygenic prediction from machine learning
In this paper we characterize the performance of linear models trained via widely-used
sparse machine learning algorithms. We build polygenic scores and examine performance …
sparse machine learning algorithms. We build polygenic scores and examine performance …
Genomic Insights for Personalized Care: Motivating At-Risk Individuals Toward Evidence-Based Health Practices
Lung cancer and tobacco use pose significant global health challenges and require a
comprehensive translational roadmap for improved prevention strategies. We propose the …
comprehensive translational roadmap for improved prevention strategies. We propose the …
[HTML][HTML] Leveraging genetic correlations and multiple populations to improve genetic risk prediction for non-European populations
The disparity in genetic risk prediction accuracy between European and non-European
individuals highlights a critical challenge in health inequality. To bridge this gap, we …
individuals highlights a critical challenge in health inequality. To bridge this gap, we …
Identification of distinct trajectories in preclinical type 2 diabetes and their associations with outcomes
Z Huang - medRxiv, 2024 - medrxiv.org
Type 2 Diabetes Mellitus (T2DM) is increasingly prevalent and significantly impacts patients'
lives. However, the phenotypic and genetic heterogeneity of the preclinical stage of T2DM …
lives. However, the phenotypic and genetic heterogeneity of the preclinical stage of T2DM …
Ensembled best subset selection using summary statistics for polygenic risk prediction
Polygenic risk scores (PRS) enhance population risk stratification and advance
personalized medicine, yet existing methods face a tradeoff between predictive power and …
personalized medicine, yet existing methods face a tradeoff between predictive power and …