DGRPool, a web tool leveraging harmonized Drosophila Genetic Reference Panel phenotyping data for the study of complex traits

• Published in: eLife Vol. 12
• Main Authors: Gardeux, Vincent, Bevers, Roel P J, David, Fabrice P A, Rosschaert, Emily, Rochepeau, Romain, Deplancke, Bart
• Format: Journal Article
• Language: English
• Published: England eLife Sciences Publications Ltd 21.10.2024; eLife Sciences Publications, Ltd
• Subjects: complex trait; Computational and Systems Biology; Datasets; Desiccation; DGRP; Drosophila; Genetic diversity; Genetic variability; genetic variant; Genetics and Genomics; Genome-wide association studies; Genotype & phenotype; Growth conditions; GWAS; Insects; Life span; Locomotor activity; Metabolism; Metadata; Oxidative stress; phenotype; Phenotypes; Phenotypic variations; Phenotyping; PheWAS; Population genetics; Population studies; Tools and Resources; PheWAS; computational biology; phenotype; systems biology; GWAS; genetics; complex trait; genomics; genetic variant; D. melanogaster; DGRP
• ISSN: 2050-084X; 2050-084X
• DOI: 10.7554/eLife.88981

Genome-wide association studies have advanced our understanding of complex traits, but studying how a GWAS variant can affect a specific trait in the human population remains challenging due to environmental variability. is in this regard an excellent model organism for studying the relationship between genetic and phenotypic variation due to its simple handling, standardized growth conditions, low cost, and short lifespan. The Genetic Reference Panel (DGRP) in particular has been a valuable tool for studying complex traits, but proper harmonization and indexing of DGRP phenotyping data is necessary to fully capitalize on this resource. To address this, we created a web tool called (dgrpool.epfl.ch), which aggregates phenotyping data of 1034 phenotypes across 135 DGRP studies in a common environment. DGRPool enables users to download data and run various tools such as genome-wide (GWAS) and phenome-wide (PheWAS) association studies. As a proof-of-concept, DGRPool was used to study the longevity phenotype and uncovered both established and unexpected correlations with other phenotypes such as locomotor activity, starvation resistance, desiccation survival, and oxidative stress resistance. DGRPool has the potential to facilitate new genetic and molecular insights of complex traits in and serve as a valuable, interactive tool for the scientific community.