ArticleNature communications2016
Proteome-wide association studies identify biochemical modules associated with a wing-size phenotype in Drosophila melanogaster.
Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 51 citations in OpenAlex.
- Protein quantitative trait locus study in obesity during weight-loss identifies a leptin regulator.Nature communications · 2017Trial
- IBAS: Interaction-bridged association studies discovering novel genes underlying complex traits.PLoS computational biology · 2026Article
- Divergence and Parallelism in Two Tropical Drosophilids Simultaneously Invading a Desert Environment.Genome biology and evolution · 2025Article
- Recombinant inbred line panels inform the genetic architecture and interactions of adaptive traits in Drosophila melanogaster.G3 (Bethesda, Md.) · 2025Article
- Unveiling the power of proteomics in advancing tropical animal health and production.Tropical animal health and production · 2024Article
- Genetics of flight in spongy moths (Lymantria dispar ssp.): functionally integrated profiling of a complex invasive trait.BMC genomics · 2024Article
- Proteome-wide systems genetics identifies UFMylation as a regulator of skeletal muscle function.eLife · 2022Article
- The impact of genomic variation on protein phosphorylation states and regulatory networks.Molecular systems biology · 2022Article
- Disentangling genetic feature selection and aggregation in transcriptome-wide association studies.Genetics · 2022Article
- Diagnostics and correction of batch effects in large-scale proteomic studies: a tutorial.Molecular systems biology · 2021Review
- Interplay between sex determination cascade and major signaling pathways during Drosophila eye development: Perspectives for future research.Developmental biology · 2021Review
- Natural variation in the regulation of neurodevelopmental genes modifies flight performance in Drosophila.PLoS genetics · 2021Article
- Power analysis of transcriptome-wide association study: Implications for practical protocol choice.PLoS genetics · 2021Article
- Holo-Omics: Integrated Host-Microbiota Multi-omics for Basic and Applied Biological Research.iScience · 2020Review
- Trehalose metabolism confers developmental robustness and stability in Drosophila by regulating glucose homeostasis.Communications biology · 2020Article
- Mouse Systems Genetics as a Prelude to Precision Medicine.Trends in genetics : TIG · 2020Review
- Field cricket genome reveals the footprint of recent, abrupt adaptation in the wild.Evolution letters · 2020Article
- The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases.Molecular & cellular proteomics : MCP · 2020Article
- Sex-dependent and sex-independent regulatory systems of size variation in natural populations.Molecular systems biology · 2019Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
The manner by which genetic diversity within a population generates individual phenotypes is a fundamental question of biology. To advance the understanding of the genotype-phenotype relationships towards the level of biochemical processes, we perform a proteome-wide association study (PWAS) of a complex quantitative phenotype. We quantify the variation of wing imaginal disc proteomes in Drosophila genetic reference panel (DGRP) lines using SWATH mass spectrometry. In spite of the very large genetic variation (1/36 bp) between the lines, proteome variability is surprisingly small, indicating strong molecular resilience of protein expression patterns. Proteins associated with adult wing size form tight co-variation clusters that are enriched in fundamental biochemical processes. Wing size correlates with some basic metabolic functions, positively with glucose metabolism but negatively with mitochondrial respiration and not with ribosome biogenesis. Our study highlights the power of PWAS to filter functional variants from the large genetic variability in natural populations.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.