Gustavo de los Campos
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Systems Biology Division
Gustavo de los Campos is a professor in the Department of Epidemiology and Biostatistics where he leads a team that works on the development of statistical methods and software for analysis and prediction of complex traits and diseases. He received his Ph.D. from the University of Wisconsin-Madison.
Dr. de los Campos and fellow PI Ana Vazquez lead the QuantGen group. The team’s research involves methods and software development as well as applied research on genetic analyses of complex traits in human health, plant and animal breeding.
Genomic Analysis and Prediction of Complex Traits
Development and evaluation of methods and software for analysis and prediction of complex traits using Big Data from biobanks and GWAS cohorts. (e.g., Kim et al, 2017)
Integration of Data from Multiple Omics Layers
Models and software for integrating high-dimensional multi-layer omics data for analysis and prediction of disease outcomes. (e.g., survival of breast cancer patients) (e.g., Vazquez et al., 2015; Gonzalez-Reymundez et al, 2017)
Software development for analysis of big omics data
We have developed several R packages for genetic analysis using pedigrees, genomes and other omics. (BGLR, BGData, pedigreemm, MTM)
Genomic Analysis of Obesity and Response to Exercise
We maintain an active collaboration with researchers from the TIGER (Training Interventions and Genetics of Exercise Response) study, developing and implementing methods for the identification of genetic factors influencing Body Composition and Response to Exercise Intervention.
Genetic x Environment
Development of methods for integrating high-dimensional genomic and environmental data (e.g. Jarquin et al., 2014).