ArticleCell genomics2025
Saturating the eQTL map in Drosophila: Genome-wide patterns of cis and trans regulation of transcriptional variation in outbred populations.
Article in Cell genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Environmental perturbation increases gene expression variability and unmasks genetic regulation for transcriptional robustness.bioRxiv : the preprint server for biology · 2026Article
- Patterns of extreme outlier gene expression suggest an edge of chaos effect in transcriptomic networks.Genome biology · 2025Article
- Reassessing the modularity of gene co-expression networks using the Stochastic Block Model.PLoS computational biology · 2024Article
- Reassessing the modularity of gene co-expression networks using the Stochastic Block Model.bioRxiv : the preprint server for biology · 2024Article
- From GWAS to signal validation: An approach for estimating genetic effects while preserving genomic context.bioRxiv : the preprint server for biology · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Most genetic polymorphisms associated with complex traits are found in non-coding regions of the genome. Characterizing their effect presents a formidable challenge, and expression quantitative trait locus (eQTLs) mapping has been a key approach to do so. As comprehensive eQTL maps are available only for a few species, here we developed the Drosophila outbred synthetic population (Dros-OSP) and used it to characterize the landscape of transcriptional regulation in Drosophila melanogaster. We collected head and body transcriptomes and genomes from 1,286 outbred flies and mapped local and distant eQTLs for 98% of the genes. We characterized the network organization of the transcriptome across tissues and described the properties of local and distal eQTLs in terms of genetic diversity, heritability, connectivity, and pleiotropy. These results provide new insights into the genetic basis of transcriptional regulation in the fruit fly and offer a new mapping resource that will expand the possibilities currently available for the Drosophila community.
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Registered trials
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