High-throughput screening of prostate cancer risk loci by single nucleotide polymorphisms sequencing

Nat Commun. 2018 May 22;9(1):2022. doi: 10.1038/s41467-018-04451-x.

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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Alleles
  • Datasets as Topic
  • Early Detection of Cancer / methods
  • Genetic Predisposition to Disease*
  • High-Throughput Nucleotide Sequencing
  • Humans
  • Male
  • Nuclear Proteins / genetics
  • Nuclear Proteins / metabolism*
  • Polymorphism, Single Nucleotide*
  • Prostate / metabolism
  • Prostate / pathology
  • Prostatic Neoplasms / diagnosis*
  • Prostatic Neoplasms / genetics
  • Prostatic Neoplasms / metabolism
  • Protein Binding
  • Quantitative Trait Loci*
  • Risk

Substances

  • Nuclear Proteins