# name
New Distance-Based approach for Genome-Wide Association Studies

# metadata.dc.description.abstract[].value
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.

# metadata.dc.publisher[].value
IEEE CS, CI, and EMB Societies & the ACM

# metadata.dc.relation.ispartof[].value
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021, p. 1-12

# metadata.dc.rights[].value
(c) IEEE CS, CI, and EMB Societies & the ACM, 2021

# metadata.dc.source[].value
Articles publicats en revistes (Genètica, Microbiologia i Estadística)

# metadata.dc.subject.classification[].value
Trastorns per dèficit d'atenció amb hiperactivitat en els adults

# metadata.dc.subject.other[].value
Attention deficit disorder with hyperactivity in adults

# metadata.dc.title[].value
New Distance-Based approach for Genome-Wide Association Studies