1. High-throughput screening of prostate cancer risk loci by single nucleotide polymorphisms sequencing.
- Author
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Zhang P, Xia JH, Zhu J, Gao P, Tian YJ, Du M, Guo YC, Suleman S, Zhang Q, Kohli M, Tillmans LS, Thibodeau SN, French AJ, Cerhan JR, Wang LD, Wei GH, and Wang L
- Subjects
- Alleles, Datasets as Topic, Early Detection of Cancer methods, High-Throughput Nucleotide Sequencing, Humans, Male, Nuclear Proteins genetics, Prostate metabolism, Prostate pathology, Prostatic Neoplasms genetics, Prostatic Neoplasms metabolism, Protein Binding, Risk, Genetic Predisposition to Disease, Nuclear Proteins metabolism, Polymorphism, Single Nucleotide, Prostatic Neoplasms diagnosis, Quantitative Trait Loci
- Abstract
Functional characterization of disease-causing variants at risk loci has been a significant challenge. Here we report a high-throughput single-nucleotide polymorphisms sequencing (SNPs-seq) technology to simultaneously screen hundreds to thousands of SNPs for their allele-dependent protein-binding differences. This technology takes advantage of higher retention rate of protein-bound DNA oligos in protein purification column to quantitatively sequence these SNP-containing oligos. We apply this technology to test prostate cancer-risk loci and observe differential allelic protein binding in a significant number of selected SNPs. We also test a unique application of self-transcribing active regulatory region sequencing (STARR-seq) in characterizing allele-dependent transcriptional regulation and provide detailed functional analysis at two risk loci (RGS17 and ASCL2). Together, we introduce a powerful high-throughput pipeline for large-scale screening of functional SNPs at disease risk loci.
- Published
- 2018
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