This lab’s main line of research at present focuses on the understanding of natural selection and adaptation in humans and primates through the comparative analysis of genomes. Its purpose is to understand complex adaptations through genome-wide analyses of the footprints that natural selection has left in genomes and attempt to place selection in a functional molecular framework of molecular pathways. The Evolutionary Systems Biology Lab is studying differential adaptation among human populations, including several African populations, Roma (as compared to Romanians and Indians) and in Chimpanzees. It has launched a project with the analysis of the haploid sequences of several individuals from all known groups of Southeast Asian pygmies.

Other websites: Bertranpetit Lab

 

Investigador principal Investigador principal

Miembros del grupo Miembros del grupo

Proyectos en curso Proyectos en curso

Publicaciones Publicaciones

Calafell, F.; Anglada, R.; Bonet, N.; González-Ruiz, M.; Prats-Muñoz, G.; Rasal, R.; Lalueza-Fox, C.; Bertranpetit, J.; Malgosa, A.; and Casals, F. (2016). An assessment of a massively parallel sequencing approach for the identification of individuals from mass graves of the Spanish Civil War (1936-1939)Electrophoresis [Epub ahead of print]

Cagan, A.; Theunert, C.; Laayouni, H.; Santpere, G.; Pybus, M.; Casals, F.; Prüfer, K.; Navarro, A.; Marques-Bonet, T.; Bertranpetit, J.; and Andres, A.M. (2016). Natural Selection in the Great Apes. Molecular Biology and Evolution 33 (12): 3268-3283.

Aterido, A.; Julià A.; Ferrándiz, C.; [18 authors]; Bertranpetit J.; Absher D.; Capon F.; Myers RM.; Barker J.N. and Marsal S. 2016. Genome-wide pathway analysis identifies new genetic pathways associated with psoriasis. J Invest Dermatol 136(3):593-602.


Sole-Morata, N.; Bertranpetit, J.; Comas, D.; Calafell, F. 2015. Y-chromosome diversity in Catalan surname samples: insights into surname origin and frequency. European Journal of Human Genetics 23(11): 1549-1557.


Pybus, M.; Luisi, P.; Dall'Olio, G.M.; Uzkudun, M.; Laayouni; H.; Bertranpetit, J.; Engelken, J. 2015. Hierarchical boosting: a machine-learning framework to detect and classify hard selective sweeps in human populations. Bioinformatics 31(24): 3946-3952.