340 citations · 1k across the 21 of their papers we have counts for
4 papers · 1 filter
Efficient Algorithms for Multivariate Linear Mixed Models in Genome-wide Association Studies
Xiang Zhou, Matthew Stephens
Multivariate linear mixed models (mvLMMs) have been widely used in many areas of genetics, and have attracted considerable recent interest in genome-wide association studies (GWASs…
A statistical framework for joint eQTL analysis in multiple tissues
Timothée Flutre, Xiaoquan Wen, Jonathan Pritchard +1
Mapping expression Quantitative Trait Loci (eQTLs) represents a powerful and widely-adopted approach to identifying putative regulatory variants and linking them to specific genes.…
Polygenic Modeling with Bayesian Sparse Linear Mixed Models
Xiang Zhou, Peter Carbonetto, Matthew Stephens
Both linear mixed models (LMMs) and sparse regression models are widely used in genetics applications, including, recently, polygenic modeling in genome-wide association studies. T…
Integrated analysis of variants and pathways in genome-wide association studies using polygenic models of disease
Peter Carbonetto, Matthew Stephens
Many common diseases are highly polygenic, modulated by a large number genetic factors with small effects on susceptibility to disease. These small effects are difficult to map rel…