Juan R Gonzalez is an Associate Reseach Professor at ISGlobal where leads a bioinformatic group in genetic epidemiology (BRGE). He has co-authored more than 100 scientific papers published in peer-reviewed journals and has ample experience in large international research projects. As an Assistant Professor at the Department of Mathematics at Autonomous University of Barcelona, his educational activities focuses on providing post-graduate lectures in biostatistics and in 'Omic' data analyses. After getting his PhD in Biostatistics supervised by Prof Edsel Peña from University of South Carolina Columbia, he spent 2 years as a post-doc at Center for Genomic Regulation (CRG). There, he worked in genetic causes of psyquiatric disorders and developing tools for analyzing GWAS data as the case of SNPassoc R package, one of the widely used tools to perform genetic association studies.
He is currently in charge of developing new methods to link the early-life exposome to several omic and exposure data as part of 7th Framework Program project The Human Early-Life Exposome (HELIX).
As translational activities, he is scientific advisor and co-founder of Biocloud, a start-up created joint with other researchers from PRBB. He is also collaborating with Gendiag to develop algorithms to provide genetic advice in complex diseases such as obesity (Nutri inCode®), thrombosis (Thrombo inCode®) and cardiovascular disease (Cardio inCode®). He is highly skilled in providing R courses for analyzing genetic data.
Lines of Research
Currently he is working on genetic epidemiology. He is mainly interested in statistical methods for identifying genetic causes of complex diseases. To this end, his work focuses on developing new statistical methods and implementing tools for analyzing different 'omic' data including genomic (CNVs, inversions, mosaicisms), transcriptomic (RNA-seq and alternative splicing) and proteomic among others. The analysis of the exposome, its characterization and how integrate it with different omic data is also another active line of research of his group.
- Cáceres A, González JR. Following the footprints of polymorphic inversions on SNP data: from detection to association tests. Nucleic Acids Res. 2015;43:e53.
- González JR, Cáceres A, Esko T,…. A common 16p11.2 inversion underlies the joint susceptibility to asthma and obesity. Am J Hum Genet. 2014;94(3):361-72.
- Esnaola M, Puig P, Gonzalez D, Castelo R, González JR. A flexible count data model to fit the wide diversity of expression profiles arising from extensively replicated RNA-seq experiments. BMC Bioinformatics. 2013;14:254.
- Redon R, Ishikawa S, Fitch KR, …, González JR, …, Hurles ME. Global variation in copy number in the human genome. Nature. 2006;444(7118):444-54.
- Gonzalez JR, Armengol L, Solé X, Guino E, Mercader JM, Estivill X, Moreno V. SNPassoc: an R package to perform whole genome association studies. Bioinformatics, 2007;23(5):644-5.