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A sequential methodology for the rapid identification and characterization of breast cancer-associated functional SNPs
A sequential methodology for the rapid identification and characterization of breast cancer-associated functional SNPs
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A sequential methodology for the rapid identification and characterization of breast cancer-associated functional SNPs
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A sequential methodology for the rapid identification and characterization of breast cancer-associated functional SNPs
A sequential methodology for the rapid identification and characterization of breast cancer-associated functional SNPs

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A sequential methodology for the rapid identification and characterization of breast cancer-associated functional SNPs
A sequential methodology for the rapid identification and characterization of breast cancer-associated functional SNPs
Journal Article

A sequential methodology for the rapid identification and characterization of breast cancer-associated functional SNPs

2020
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Overview
GWAS cannot identify functional SNPs (fSNP) from disease-associated SNPs in linkage disequilibrium (LD). Here, we report developing three sequential methodologies including Reel-seq (Regulatory element-sequencing) to identify fSNPs in a high-throughput fashion, SDCP-MS (SNP-specific DNA competition pulldown-mass spectrometry) to identify fSNP-bound proteins and AIDP-Wb (allele-imbalanced DNA pulldown-Western blot) to detect allele-specific protein:fSNP binding. We first apply Reel-seq to screen a library containing 4316 breast cancer-associated SNPs and identify 521 candidate fSNPs. As proof of principle, we verify candidate fSNPs on three well-characterized loci: FGFR2 , MAP3K1 and BABAM1 . Next, using SDCP-MS and AIDP-Wb, we rapidly identify multiple regulatory factors that specifically bind in an allele-imbalanced manner to the fSNPs on the FGFR2 locus. We finally demonstrate that the factors identified by SDCP-MS can regulate risk gene expression. These data suggest that the sequential application of Reel-seq, SDCP-MS, and AIDP-Wb can greatly help to translate large sets of GWAS data into biologically relevant information. It is often difficult to identify functional SNPs from disease-associated SNPs in linkage disequilibrium. Here, the authors present Reel-seq, SDCP-MS and AIDP-Wb, three sequential methodologies for fSNP identification and characterization.