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

Find out more about the Group’s activities

Members

epfl lausanne

Matthew Robinson
Complex Trait Genetics Group
University of Lausanne
Group Webpage

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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

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