Investigation of inherited noncoding genetic variation impacting the pharmacogenomics of childhood acute lymphoblastic leukemia treatment.
Kashi Raj BhattaraiRobert Jackson MobleyKelly R BarnettDaniel C FergusonBaranda S HansenJonathan D DiedrichBrennan P BergeronSatoshi YoshimuraWenjian YangKristine R CrewsChristopher S ManringElias JabbourElisabeth PaiettaMark R LitzowSteven Mitchell KornblauWendy StockHiroto InabaSima JehaChing-Hong PuiCheng ChengShondra M Pruett-MillerMary V RellingJun J YangWilliams E EvansDaniel SavicPublished in: Nature communications (2024)
Defining genetic factors impacting chemotherapy failure can help to better predict response and identify drug resistance mechanisms. However, there is limited understanding of the contribution of inherited noncoding genetic variation on inter-individual differences in chemotherapy response in childhood acute lymphoblastic leukemia (ALL). Here we map inherited noncoding variants associated with treatment outcome and/or chemotherapeutic drug resistance to ALL cis-regulatory elements and investigate their gene regulatory potential and target gene connectivity using massively parallel reporter assays and three-dimensional chromatin looping assays, respectively. We identify 54 variants with transcriptional effects and high-confidence gene connectivity. Additionally, functional interrogation of the top variant, rs1247117, reveals changes in chromatin accessibility, PU.1 binding affinity and gene expression, and deletion of the genomic interval containing rs1247117 sensitizes cells to vincristine. Together, these data demonstrate that noncoding regulatory variants associated with diverse pharmacological traits harbor significant effects on allele-specific transcriptional activity and impact sensitivity to antileukemic agents.
Keyphrases
- copy number
- gene expression
- genome wide
- acute lymphoblastic leukemia
- transcription factor
- dna methylation
- induced apoptosis
- allogeneic hematopoietic stem cell transplantation
- resting state
- locally advanced
- dna binding
- high throughput
- white matter
- functional connectivity
- genome wide identification
- dna damage
- endoplasmic reticulum stress
- early life
- oxidative stress
- big data
- binding protein
- replacement therapy
- rectal cancer
- cell death
- electronic health record
- squamous cell carcinoma
- emergency department
- acute myeloid leukemia
- artificial intelligence
- cell proliferation
- heat shock