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The Group focuses on developing new tools and machine learning algorithms for describing the population substructure in the genome and understanding the biological implications of such structure, identifying the fingerprint of polygenic adaptation in complex phenotypes and evaluating the impact of archaic introgression in phenotypes of interest. In particular, we address questions related to which is the genetic origin from a population point of view of a given individual, which are the demographic and selective factors that shaped the genetic variation present in a population, and how ultimately this variation influences and allows us to detect the individual risk in complex common diseases with a genetic burden. Overall, all this multidisciplinary combined knowledge allows us to better understanding how (which are the genetic markers involved in the disease) and why (which is the natural history of the disease) we get sick.

Our Group focuses on human species but the universality of the proposed methods allows us to apply them to other model organisms.

Principal Investigator

Oscar Lao Grueso

Lao Grueso, Oscar
CSIC Tenured Scientist
Algorithms for Population Genomics

Current members

CARLA CASANOVA SUÁREZ

CASANOVA SUÁREZ, CARLA
Predoctoral Researcher
Algorithms for Population Genomics

Francesc Ganau Penella

Ganau Penella, Francesc
Predoctoral Researcher
Algorithms for Population Genomics

Ongoing projects

The Power of Plants as Food, Medicine and Raw Materials Before

DROP THE GIGANTIC GWAS: AN ARTIFICIAL INTELLIGENCE APPROACH TO CHARACTERIZE THE GENETIC ARCHITECTURE OF COMPLEX DISEASE

DESARROLLO DE NUEVOS ESTADÍSTICOS PARA IDENTIFICAR ADAPTACIÓN POLIGÉNICA MEDINTE APRENDIZAJE DE MÁQUINA (202230I060)

Publications

Serradell JM, Lorenzo-Salazar JM, Flores C, Lao O, Comas D. 2024. Modelling the demographic history of human North African genomes points to a recent soft split divergence between populations. Genome Biology, 25(1):201. DOI:10.1186/s13059-024-03341-4

Roca-Ayats N, Maceda I, Bruque CD, Martínez-Gil N, Garcia-Giralt N, Cozar M, Mellibovsky L, Van Hul W, Lao O, Grinberg D, Balcells S. 2024. Evolutionary and functional analyses of LRP5 in archaic and extant modern humans. Human Genomics, 18(1):53. DOI:10.1186/s40246-024-00616-6

Karamperis K, Katz S, Melograna F, Ganau FP, Van Steen K, Patrinos GP, Lao O. 2024. Genetic ancestry in population pharmacogenomics unravels distinct geographical patterns related to drug toxicity. iScience, 27(10):110916. DOI:10.1016/j.isci.2024.110916

Huang X, Rymbekova A, Dolgova O, Lao O, Kuhlwilm M. 2023. Harnessing deep learning for population genetic inference. Nature Reviews Genetics. DOI:10.1038/s41576-023-00636-3

Moreno-Ruiz N; Genomics England Research Consortium, Lao O, Aróstegui JI, Laayouni H, Casals F. 2022. Assessing the digenic model in rare disorders using population sequencing data. European Journal of Human Genetics, 30(12):1439-1443. DOI:10.1038/s41431-022-01191-x.