Genome-Wide Association Studies:a distance-based approach

  1. Itziar Irigoien Garbizu
  2. Bru Cormand 1
  3. María Soler Artigas
  4. Cristina Sánchez Mora
  5. Josep Antoni Ramos-Quiroga
  6. Concepción Arenas Solá
  1. 1 Universitat de Barcelona
    info

    Universitat de Barcelona

    Barcelona, España

    ROR https://ror.org/021018s57

Libro:
Proceedings of the 35th International Workshop on Statistical Modelling : July 20-24, 2020 Bilbao, Basque Country, Spain
  1. Itziar Irigoien (ed. lit.)
  2. Dae-Jin Lee (ed. lit.)
  3. Joaquín Martínez-Minaya (ed. lit.)
  4. María Xosé Rodríguez- Álvarez (ed. lit.)

Editorial: Servicio Editorial = Argitalpen Zerbitzua ; Universidad del País Vasco = Euskal Herriko Unibertsitatea

ISBN: 978-84-1319-267-3

Año de publicación: 2020

Páginas: 126-130

Congreso: International Workshop on Statistical Modelling (35. 2020. Bilbao)

Tipo: Aportación congreso

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Resumen

With the increase in the production of genome-wide association studies (GWAS), the analysis of such data sets with thousands of potential predictive single nucleotide-polymorphisms (SNPs) has become crucial in biomedical research. Here we propose a new method to identify SNPs related with a disease in case-control studies. The method provides two ordered lists of SNPs (with causal or protective alleles) that provide a useful tool to help the researcher to decide where to focus attention in a first stage.

Fuente de los datos: Dialnet