Genomic Architecture of Complex Traits

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   IMPORTANT DATES for this Course
   Deadline for applications: Sept 23rd 2015 <=== NEW!
   Latest notification of acceptance: Sept 23rd 2015
   Course date: Sept 28th - Oct 1st 2015

Candidates with adequate profile will be accepted in the next 72 hours after the application until we reach 20 participants.


Arcadi Navarro obtained his BSc and his PhD in Genetics in the Universitat Autònoma de Barcelona. After some years out of academia, he went back to Science in 1998 as a postdoc in the University of Edinburgh (UK). He joined the Universitat Pompeu Fabra (UPF) in 2002 as a junior group leader within the Ramón y Cajal Program. In 2006 he was appointed ICREA Research Professor and in 2010 Professor of Genetics. During the 2008-2013 period he was deputy-director of the Institute of Evolutionary Biology (UPF-CSIC) and, during 2009-2013, Coordinator of the Program in Evolutionary Biology and Complex Systems of the Department of Experimental and Health Sciences, Department who he currently directs. Additionally, he has been director of the Population Genomics Node of the Spanish National Institute for Bioinformatics (INB) since 2007. Finally, since 2013 he collaborates with the Center for Genomic Regulation (CRG) and the European Bioinformatics Institute (EBI-EMBL) as responsible of the instance of the European Genome-phenome Archive located in Barcelona (

Affiliation: Universitat Pompeu Fabra, Institute of Evolutionary Biology (UPF-CSIC), Barcelona, ES

Juan A. Rodriguez is a last year PhD student in the Evolutionary Genomics Lab at the Evolutionary Biology Institute - Universitat Pompeu Fabra in Barcelona, under the supervision of Drs. Arcadi Navarro & Elena Bosch. He obtained a Biological Research Master's degree from Universidade de Santiago de Compostela, and later moved to Universidad Complutense de Madrid to course a Master in Bioinformatics and Computational Biology. His current research focuses on the empirical testing of evolutionary theories of human senescence and their implications in disease. His curriculum also includes teaching experience in statistics, molecular biology and biomedical bioinformatics.

Affiliation: Universitat Pompeu Fabra, Barcelona, ES

David Allen Hughes is a Marie Curie UPF postdoctoral fellow in the Evolutionary Genomics Laboratory at the Evolutionary Biology Institute - Universitat Pompeu Fabra, under the supervision of Dr. Arcadi Navarro. He acquired his PhD in evolutionary/molecular anthropology under tutorage of Professor Dr. Mark Stoneking at the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany. David's research focuses genome-phenome evolution in population genetic frameworks. His work has utilized and given him both laboratory and bioinformatic expertise in genomic, transcriptomic, and epigenomic techniques.

Affiliation: Universitat Pompeu Fabra, Barcelona, ES


Genome-Phenome analysis is both a challenging biological problem and a key component of precision medicine. This course aims to introduce current methods and concepts used to link genomes and phenomes. Emphasis will be placed on mapping disease susceptibility genes.
Course topics will be presented as lectures each followed by illustrative practical sessions. Topics will cover technological and design issues as well as current data analysis and interpretation strategies.
A variety of approaches to Genome-Phenome analysis will be covered ranging from array and targeted re-sequencing of (Epi-)Genome-Wide Association Studies to full genome re-sequencing. The main focus of this course will be on complex traits, however, the genetic architectures of cancer and rare diseases will also be considered.


The course is comprised of practical exercises preceded by short lectures. There will be opportunities to hold group discussions on specific case studies.

Target Audiences:

(1) Individuals with knowledge about bioinformatics and/or genomics, that aim at using modern methods to address population variation or genotype phenotype association studies.
(2) Individuals interested in some particular phenotype(s) (MDs, veterinarians, biologists) and wishing to commence investigation of the genetics of their trait(s) of interest.
(3) All individuals, graduate or professional, wishing to expand on their working knowledge of the genetics of complex traits.


In addition to a reasonable level of computer literacy, a minimal familiarity with the basics of bioinformatics, statistics, genomics and biology will be assumed.
An acquaintance with studies of population variation or genotype phenotype association would be an advantage but not essential.

Detailed Program

Instituto Gulbenkian de Ciência,

Apartado 14, 2781-901 Oeiras, Portugal

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Last updated:  Aug 28th 2015