Person
Hélène Ruffieux
Related publications (5)
A fully joint Bayesian quantitative trait locus mapping of human protein abundance in plasma
Anthony Christopher Davison, Jörg Hager, Hélène Ruffieux, Radu Popescu
Molecular quantitative trait locus (QTL) analyses are increasingly popular to explore the genetic architecture of complex traits, but existing studies do not leverage shared regulatory patterns and suffer from a large multiplicity burden, which hampers the ...
PUBLIC LIBRARY SCIENCE2020A Global-Local Approach For Detecting Hotspots In Multiple-Response Regression
Anthony Christopher Davison, Jörg Hager, Hélène Ruffieux
We tackle modelling and inference for variable selection in regression problems with many predictors and many responses. We focus on detecting hotspots, that is, predictors associated with several responses. Such a task is critical in statistical genetics, ...
INST MATHEMATICAL STATISTICS2020Large-scale variational inference for Bayesian joint regression modelling of high-dimensional genetic data
Genetic association studies have become increasingly important in understanding the molecular bases of complex human traits. The specific analysis of intermediate molecular traits, via quantitative trait locus (QTL) studies, has recently received much atte ...
EPFL2019Genome-wide gene-based analyses of weight loss interventions identify a potential role for NKX6.3 in metabolism
Patrick Descombes, Sylviane Métairon, Jörg Hager, Hélène Ruffieux, Nele Gheldof
Hundreds of genetic variants have been associated with Body Mass Index (BMI) through genome-wide association studies (GWAS) using observational cohorts. However, the genetic contribution to efficient weight loss in response to dietary intervention remains ...
Springer2019Efficient inference for genetic association studies with multiple outcomes
Anthony Christopher Davison, Jörg Hager, Hélène Ruffieux
Combined inference for heterogeneous high-dimensional data is critical in modern biology, where clinical and various kinds of molecular data may be available from a single study. Classical genetic association studies regress a single clinical outcome on ma ...
Oxford University Press2017