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Functional investigation of inherited noncoding genetic variation impacting the pharmacogenomics of childhood acute lymphoblastic leukemia treatment [HiChIP]

GSE254783 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing; Other 8 samples Submitted 2024/04/10 Platform GPL24676
Summary
Although acute lymphoblastic leukemia (ALL) is the most prevalent childhood cancer, there is limited understanding of the contribution of inherited genetic variation on inter-individual differences in chemotherapy response, and defining genetic factors impacting therapy failure can help better predict response and identify drug resistance mechanisms. Using inherited noncoding variants associated with chemotherapeutic drug resistance and/or treatment outcome, we mapped these variants to ALL cis-regulatory elements and investigated their gene regulatory potential and genomic connectivity using massively parallel reporter assays and promoter capture Hi-C, respectively. We identified 53 variants with reproducible allele-specific effects on transcription and high-confidence gene targets. Subsequent functional interrogation of the top variant (rs1247117) determined that it disrupted a PU.1 consensus motif and PU.1 binding affinity. Importantly, deletion of the genomic interval containing rs1247117 sensitized ALL cells to vincristine. Together, these data demonstrate that noncoding regulatory variation associated with diverse pharmacological traits harbor significant effects on allele-specific transcriptional activity and impact sensitivity to chemotherapeutic agents in ALL.
Published in
Investigation of inherited noncoding genetic variation impacting the pharmacogenomics of childhood acute lymphoblastic leukemia treatment
Bhattarai KR, Mobley RJ, Barnett KR et al. · Nature communications 2024 · PMID 38693155 · doi:10.1038/s41467-024-48124-4
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Direct links to NCBI, no account and no request form: the whole study as GSE254783_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1071689 and SRA study SRP487273. Searching any of these in the dataset finder brings you back here.

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