Exploració per autor "Soria, José Manuel"

Ara es mostren els items 2-5 de 5

    • Health in ultra endurance events: SUMMIT Lab® Project 

      Roca, Emma; Nescolarde Selva, Lexa Digna; Perera Lluna, Alexandre; Bogónez-Franco, Paco; Soria, José Manuel; Roche, Enrique; Daniel, Brotons; Bayés Genis, Antoni (2016)
      Comunicació de congrés
      Accés obert
      High-intensity physical activity for an extended period of time could result in unhealthy disruptions to physiological systems. The main goal of the SUMMIT Lab® is to offer to ultra-endurance athletes an assessment of the ...

    • Next generation sequencing to dissect the genetic architecture of KNG1 and F11 loci using factor XI levels as an intermediate phenotype of thrombosis 

      Martin-Fernandez, Laura; Gavidia Bovadilla, Giovana Elizabeth; Corrales, Irene; Brunel, Helena; Ramirez, Lorena; Lopez Esteban, Sonia; Carlos Souto, Juan; Vidal, Francisco; Soria, José Manuel (2017-04-26)
      Article
      Accés obert
      Venous thromboembolism is a complex disease with a high heritability. There are significant associations among Factor XI (FXI) levels and SNPs in the KNG1 and F11 loci. Our aim was to identify the genetic variation of KNG1 ...

    • Solarius: an R interface to SOLAR for variance component analysis in pedigrees 

      Ziyatdinov, Andrey; Brunel, Helena; Martinez Perez, Angel; Buil, Alfonso; Perera Lluna, Alexandre; Soria, José Manuel (2016-02-15)
      Article
      Accés obert
      The open source environment R is one of the most widely used software for statistical computing. It provides a variety of applications including statistical genetics. Most of the powerful tools for quantitative genetic ...

    • The Central role of KNG1 gene as a genetic determinant of coagulation pathway-related traits: Exploring metaphenotypes 

      Brunel, Helena; Massanet, Raimon; Martinez Perez, Angel; Ziyatdinov, Andrey; Martin-Fernandez, Laura; Souto, Juan Carlos; Perera Lluna, Alexandre; Soria, José Manuel (2016-12-22)
      Article
      Accés obert
      Traditional genetic studies of single traits may be unable to detect the pleiotropic effects involved in complex diseases. To detect the correlation that exists between several phenotypes involved in the same ...