ArticleGenetics2014
Using Drosophila melanogaster to identify chemotherapy toxicity genes.
Article in Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
17 citing papers in PubMed, 26 citations in OpenAlex.
- The illusion of polygenicity in pool-seq genetic mapping studies: insufficient power can mask simple genetic architectures.Genetics · 2026Article
- Mapping of genotype-by-environment interaction loci for Metabolic Syndrome-like traits using the multi-parentbioRxiv : the preprint server for biology · 2025Article
- Genetic dissection of innate immune memory inFrontiers in immunology · 2022Article
- Recent developments inDrug metabolism reviews · 2021Article
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- The Sleep Inbred Panel, a Collection of InbredG3 (Bethesda, Md.) · 2018Article
- Genetic background influences susceptibility to chemotherapy-induced hematotoxicity.The pharmacogenomics journal · 2018Article
- A Genomic Reference Panel forG3 (Bethesda, Md.) · 2018Article
- Hidden genetic variation shapes the structure of functional elements in Drosophila.Nature genetics · 2018Article
- Strong epistatic and additive effects of linked candidate SNPs for Drosophila pigmentation have implications for analysis of genome-wide association studies results.Genome biology · 2017Article
- Natural variation in a single amino acid substitution underlies physiological responses to topoisomerase II poisons.PLoS genetics · 2017Article
- The Beavis Effect in Next-Generation Mapping Panels inG3 (Bethesda, Md.) · 2017Article
- Loci Contributing to Boric Acid Toxicity in Two Reference Populations ofG3 (Bethesda, Md.) · 2017Article
- Genetic dissection of intraspecific variation in a male-specific sexual trait in Drosophila melanogaster.Heredity · 2016Article
- Article
- Identifying Loci Contributing to Natural Variation in Xenobiotic Resistance in Drosophila.PLoS genetics · 2015Article
- Dissecting complex traits using the Drosophila Synthetic Population Resource.Trends in genetics : TIG · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
The severity of the toxic side effects of chemotherapy shows a great deal of interindividual variability, and much of this variation is likely genetically based. Simple DNA tests predictive of toxic side effects could revolutionize the way chemotherapy is carried out. Due to the challenges in identifying polymorphisms that affect toxicity in humans, we use Drosophila fecundity following oral exposure to carboplatin, gemcitabine and mitomycin C as a model system to identify naturally occurring DNA variants predictive of toxicity. We use the Drosophila Synthetic Population Resource (DSPR), a panel of recombinant inbred lines derived from a multiparent advanced intercross, to map quantitative trait loci affecting chemotoxicity. We identify two QTL each for carboplatin and gemcitabine toxicity and none for mitomycin. One QTL is associated with fly orthologs of a priori human carboplatin candidate genes ABCC2 and MSH2, and a second QTL is associated with fly orthologs of human gemcitabine candidate genes RRM2 and RRM2B. The third, a carboplatin QTL, is associated with a posteriori human orthologs from solute carrier family 7A, INPP4A&B, and NALCN. The fourth, a gemcitabine QTL that also affects methotrexate toxicity, is associated with human ortholog GPx4. Mapped QTL each explain a significant fraction of variation in toxicity, yet individual SNPs and transposable elements in the candidate gene regions fail to singly explain QTL peaks. Furthermore, estimates of founder haplotype effects are consistent with genes harboring several segregating functional alleles. We find little evidence for nonsynonymous SNPs explaining mapped QTL; thus it seems likely that standing variation in toxicity is due to regulatory alleles.
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Registered trials
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.