What we do

We develop and apply statistical methodologies to large human phenotype-genotype datasets, to address long-standing questions in population and quantitative genetics. These have improved the prediction accuracy of disease risk in personalized medicine, quantified the contribution of genotype-environment interaction effects to obesity risk, and provided frameworks to examine the genetic basis of phenotypic differences among people. Our current work focuses on improved testing for sex-, age-, or environment-specific genetic effects and investigating the role of interactions between microbial and host genotypes in shaping human phenotypes.

Read "Predicting diseases, one step ahead” - an interview with Matthew Robinson about his SIB Virtual seminar

Main publications 2017

  • Robinson MR et al. Genotype–covariate interaction effects and the heritability of adult body mass index. Nat Genet. 2017
  • Robinson MR et al. Genetic evidence of assortative mating in humans. Nat Hum Behav. 2017
  • Tropf C et al. Hidden heritability due to heterogeneity across seven populations. Nat Hum Behav. 2017

Find out more about the Group’s activities


epfl lausanne

Matthew Robinson
Complex Trait Genetics Group
University of Lausanne
Group Webpage

Twitter button

Domains of activity:

  • Genes and genomes
  • Data mining
  • GWAS
  • Machine learning
  • Phylogenetic tree analysis (natural selection)
  • Population genetics
  • Software engineering

Domain of application:

  • Medicine and health