Processing genome-wide association studies within a repository of heterogeneous genomic datasets.

ABSTRACT:

Background

Genome Wide Association Studies (GWAS) are based on the observation of genome-wide sets of genetic variants - typically single-nucleotide polymorphisms (SNPs) - in different individuals that are associated with phenotypic traits. Research efforts have so far been directed to improving GWAS techniques rather than on making the results of GWAS interoperable with other genomic signals; this is currently hindered by the use of heterogeneous formats and uncoordinated experiment descriptions.

Results

To practically facilitate integrative use, we propose to include GWAS datasets within the META-BASE repository, exploiting an integration pipeline previously studied for other genomic datasets that includes several heterogeneous data types in the same format, queryable from

SUBMITTER: Bernasconi A 

PROVIDER: S-EPMC9985298 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature