Genetics of 35 blood and urine biomarkers in the UK Biobank
We analyzed the genetic basis of 35 blood and urine biomarkers in UK Biobank. We revealed that genetic effects on biomarkers inform the genetic basis of disease.
Survival Analysis on Rare Events Using Group-Regularized Multi-Response Cox Regression
In this paper led by Ruilin Li, we describe a new method to fit a sparse Cox Model for multiple time-to-event phenotypes from a large-scale (> 1 million features) genetic dataset.
Polygenic risk modeling with latent trait-related genetic components
Polygenic risk score (PRS) has been proposed for disease risk prediction with potential clinical relevance for some traits, but its personalized interpretation is generally …
A fast and scalable framework for large-scale and ultrahigh-dimensional sparse regression with application to the UK Biobank
In this project led by Junyang Qian, we developed BASIL, a novel algorithm to fit large-scale L1 penalized (Lasso) regression model using an iterative procedure, and implemented R …
Fast Lasso method for large-scale and ultrahigh-dimensional Cox model with applications to UK Biobank
We propose extending the BASIL/snpnet algorithm to fit the L1 penalized Cox proportional hazards model using a large-scale dataset from a genotyped cohort.
Sex-specific genetic effects across biomarkers
In this study led by Emily Flynn, we discovered a surprising sex-specificity in the genetics of testosterone.
Rare protein-altering variants in ANGPTL7 lower intraocular pressure and protect against glaucoma
We identified an allelic series of rare protein-altering variants in ANGPTL7 that lower intraocular pressure and protect against glaucoma, highlighting ANGPTL7 as a therapeutic …
Assessing Digital Phenotyping to Enhance Genetic Studies of Human Diseases
Large-scale population-based genotyped biobanks with dense phenotypic information provide opportunities for genetic analysis at scale.
Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology
We developed DeGAs to decompose shared genetic associations across 2,138 UK Biobank phenotypes and identify their underlying pleiotropic structure.