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Published on: April 4, 2018
The Non-Coding Regulatory Variant rs2863002 at chr11p11.2 Increases Neuroblastoma Risk by Affecting HSD17B12
Teresa Maiorino1,2, Marianna Avitabile1, Vincenzo Aievola1,2
1Department of Molecular Medicine and Medical Biotechnology at University of Naples "Federico II", Naples, 80131, Italy.
A genome-wide association study identified a neuroblastoma risk gene at chr11p11.2. The rs2863002 variant regulates HSD17B12, impacting lipid metabolism and neuroblastoma development.
Area of Science:
- Genetics
- Oncology
- Molecular Biology
Background:
- Neuroblastoma is a common childhood cancer.
- Genome-wide association studies (GWAS) have identified genetic loci associated with neuroblastoma risk.
- The functional mechanisms underlying these associations are often unclear.
Purpose of the Study:
- To identify and functionally characterize a neuroblastoma predisposition locus at chr11p11.2.
- To investigate the role of the candidate causal variant rs2863002 in neuroblastoma development.
- To elucidate the regulatory mechanisms and biological consequences of the risk allele.
Main Methods:
- Genome-wide association study (GWAS) in a European-American cohort.
- Luciferase reporter assays to confirm cis-regulatory activity.
- Validation in an Italian case-control cohort.
- Chromatin immunoprecipitation followed by quantitative PCR (ChIP-qPCR), Hi-C, and CRISPR genome editing.
- In vitro functional assays and targeted lipidomic analyses.
Main Results:
- The chr11p11.2 locus was identified as a neuroblastoma predisposition locus.
- rs2863002 was implicated as the candidate causal variant with validated genetic association.
- The rs2863002-C risk allele was shown to regulate HSD17B12 expression and decrease GATA3 binding.
- This regulation impacts neuroblastoma cell tumorigenicity and lipid metabolism.
Conclusions:
- The study identifies rs2863002 at chr11p11.2 as a functional neuroblastoma risk variant.
- HSD17B12 regulation by the risk allele contributes to neuroblastoma tumorigenicity and altered lipid metabolism.
- Post-GWAS functional characterization is crucial for understanding complex disease genetics.
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