Related Experiment Video
Updated: Jan 9, 2026

CRISPR Gene Editing Tool for MicroRNA Cluster Network Analysis
Published on: April 25, 2022
IP-SNPs-seq links noncoding risk alleles to lineage transcription factor programs in prostate cancer
Wenjie Xu1, Qixiang Zhang1,2, Lijuan Qiao1
1MOE Key Laboratory of Metabolism and Molecular Medicine & Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, and Fudan University Shanghai Cancer Center, Shanghai Medical College of Fudan University, Shanghai, 200032, China.
None:
Most prostate cancer risk variants reside in noncoding DNA, but connecting germline alleles to lineage transcription factor (TF) programs has been challenging. We developed immunoprecipitation-coupled SNPs-seq (IP-SNPs-seq), enabling high-throughput, allele-specific, TF-resolved interrogation of candidate regulatory variants. Screening 903 prostate cancer-associated SNPs with androgen receptor (AR) immunoprecipitation, we identified multiple alleles with biased AR binding and convergent evidence from eQTL and ChIP-seq datasets. Among these, rs7600820 emerged as a functional enhancer variant: the risk G allele conferred stronger reporter activity, heightened AR responsiveness to dihydrotestosterone, and increased ODC1 expression; chromatin profiling and Hi-C revealed an active enhancer loop to the ODC1 promoter. ODC1 was consistently upregulated in primary and metastatic tumors across independent cohorts, associated with adverse clinicopathologic features, and required for prostate cancer cell proliferation. Gene-set enrichment analyses linked high ODC1 expression to MYC target signatures, positioning ODC1 as a clinically relevant, AR-regulated oncogenic node that integrates germline risk with core prostate cancer circuitry. IP-SNPs-seq thus provides a scalable route from association to mechanism, broadly applicable to diverse TFs and diseases, and nominates the AR-rs7600820-ODC1 axis as a potential biomarker and therapeutic vulnerability in androgen-driven prostate cancer.
More Related Videos
13:19Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
04:41Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
Published on: January 9, 2020
Related Concept Videos
Single Nucleotide Polymorphisms-SNPs
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Comparing Copy Number Variations and SNPs
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
Non-LTR Retrotransposons