Genome-Wide Association Studies:: a distance-based approach

Itziar Irigoien Garbizu ; Bru Cormand ^[1] ; María Soler Artigas ; Cristina Sánchez Mora ; Josep Antoni Ramos-Quiroga ; Concepción Arenas Solá
1. [1] Universitat de Barcelona
  
  Universitat de Barcelona
  
  Barcelona, España
Localización: Proceedings of the 35th International Workshop on Statistical Modelling : July 20-24, 2020 Bilbao, Basque Country, Spain / Itziar Irigoien Garbizu (ed. lit.) , Dae-Jin Lee (ed. lit.) , Joaquín Martínez Minaya (ed. lit.), María Xosé Rodríguez Álvarez (ed. lit.), 2020, ISBN 978-84-1319-267-3, págs. 126-130
Idioma: inglés
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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.