Trevor J. Hastie

StaBLE: digital metrics capture balance performance across a wide spectrum of balance tasks and abilities

The paper introduces StaBLE, a digital balance assessment tool validated against clinical scales, showing strong correlations and improved detection of fall risk.

CuGen: A GPU-accelerated framework for large-scale genomics

CuGen is a GPU-accelerated framework for large-scale genomics that enables efficient GWAS and fine-mapping with robust confounding control.

Machine Learning Analysis to Define Cell Lineage in Leiomyosarcoma

This paper uses machine learning to classify leiomyosarcoma based on methylation signatures, finding differences in PD-1 pathway activation and immune cell composition between tumor subtypes.

Multi-omic identification of key transcriptional regulatory programs during endurance exercise training in rats

The paper identifies tissue-specific transcriptional regulatory programs in rats undergoing endurance exercise training by integrating chromatin accessibility, DNA methylation, and gene expression data.

Biobank-Scale Polygenic Prediction in Admixed Populations Using Local Ancestry via the Group Lasso

This paper introduces Combine, a framework for polygenic prediction in admixed populations using local ancestry and group lasso, showing improved performance over existing methods.

Genetics of cardiometabolic disease progression

The paper develops a method to identify genetic predictors of cardiometabolic disease progression using time-to-event data from the UK Biobank, finding ten polygenic hazard scores that significantly predict disease progression.

Statistical curve models for inferring 3D chromatin architecture

The paper improves a method for inferring 3D chromatin structure from Hi-C data by introducing a new framework that addresses initialization issues and extends distribution models for contact counts.

Beyond guilty by association at scale: searching for causal variants on the basis of genome-wide summary statistics

This paper introduces a method to identify causal variants from genome-wide summary statistics, outperforming existing methods and discovering additional loci for complex traits.

Temporal dynamics of the multi-omic response to endurance exercise training across tissues

This study profiles multi-omic changes in multiple tissues of rats during endurance exercise training, identifying molecular adaptations and sex-specific responses across time.

PathGPS: Discover shared genetic architecture using biobank data

PathGPS uses GWAS summary data to identify genetic architecture by separating genetic components from environmental factors and finding gene-trait clusters associated with biological pathways.

Significant Sparse Polygenic Risk Scores across 813 traits in UK Biobank

The paper develops sparse polygenic risk scores for 813 traits using UK Biobank data, showing significant predictive performance and a correlation between variant count and performance.

Fast Numerical Optimization for Genome Sequencing Data in Population Biobanks

The paper develops efficient solvers for large-scale regularized regressions on genetic data, reducing memory usage and improving computational speed.

Polygenic risk modeling with latent trait-related genetic components

This paper introduces a latent factor model for polygenic risk scores that decomposes genetic risk into interpretable components, showing improved interpretability over standard PRS for traits like BMI and myocardial infarction.

A Fast and Scalable Framework for Large-scale and Ultrahigh-dimensional Sparse Regression with Application to the UK Biobank

This paper introduces a scalable framework for sparse regression on large-scale data, demonstrating improved prediction performance on UK Biobank traits using the BASIL method and snpnet package.

Principal Curve Approaches For Inferring 3D Chromatin Architecture

This paper introduces a principal curve method for inferring 3D chromatin architecture from Hi-C data, showing its utility and reproducibility in reconstructing chromosome structures.

Survival Analysis on Rare Events Using Group-Regularized Multi-Response Cox Regression

The paper introduces a group-regularized Cox regression method for survival analysis of rare events using common responses, showing improved prediction performance on UK Biobank data.

Large-Scale Sparse Regression for Multiple Responses with Applications to UK Biobank

The paper develops a scalable sparse reduced-rank regression method for high-dimensional multitask learning, applied to UK Biobank data to generate polygenic risk scores.

Integration of Mechanistic Immunological Knowledge into a Machine Learning Pipeline Increases Predictive Power

The paper introduces a machine learning method that integrates immunological knowledge to improve predictive power from mass cytometry data.

Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight novel adipocyte biology

The paper uses DeGAs to identify genetic components across 2,138 phenotypes in the UK Biobank, revealing novel adipocyte biology through variant and gene contributions to obesity-related traits.

Genetics of 38 blood and urine biomarkers in the UK Biobank

UK Biobank genetics of 38 blood and urine lab tests yields 1,857 independent loci; combining biomarker and disease polygenic scores improves FinnGen prediction of incident renal failure and alcoholic cirrhosis.

Accuracy in wrist-worn, sensor-based measurements of heart rate and energy expenditure in a diverse cohort

This study evaluates seven wrist-worn devices for heart rate and energy expenditure accuracy in diverse conditions, finding significant variability and proposing validation standards.