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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/180075
New Distance-Based approach for Genome-Wide Association Studies
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With the raise of genome-wide association studies (GWAS), the analysis of typical GWAS data sets with thousands of potentially predictive single nucleotide-polymorphisms (SNPs) has become crucial in Biomedicine research. Here, we propose a new method to identify SNPs related to disease in case-control studies. The method, based on genetic distances between individuals, takes into account the possible population substructure, and avoids the issues of multiple testing. The method provides two ordered lists of SNPs; one with SNPs which minor alleles can be considered risk alleles for the disease, and another one with SNPs which minor alleles can be considered as protective. These two lists provide a useful tool to help the researcher to decide where to focus attention in a first stage.
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IRIGOIEN, I., CORMAND RIFÀ, Bru, SOLER ARTIGAS, María, SÁNCHEZ MORA, Cristina, RAMOS-QUIROGA, Josep antoni, ARENAS SOLÀ, Concepción. New Distance-Based approach for Genome-Wide Association Studies. _IEEE/ACM Transactions on Computational Biology and Bioinformatics_. 2021. Vol. 1-12. [consulta: 24 de gener de 2026]. ISSN: 1545-5963. [Disponible a: https://hdl.handle.net/2445/180075]