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High Throughput Identification of Non-Coding Functional SNPs via Type IIS Enzyme Restriction
Genome wide association studies have identified many disease-associated non-coding single nucleotide polymorphisms, but cannot distinguish functional SNPs (fSNPs) from others that reside incidentally within risk loci. To address this challenge, we developed an unbiased high-throughput screen that em...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6072570/ https://www.ncbi.nlm.nih.gov/pubmed/30013183 http://dx.doi.org/10.1038/s41588-018-0159-z |
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author | Li, Gang Martínez-Bonet, Marta Wu, Di Yang, Yu Cui, Jing Nguyen, Hung N. Cunin, Pierre Levescot, Anaïs Bai, Ming Westra, Harm-Jan Okada, Yukinori Brenner, Michael B. Raychaudhuri, Soumya Hendrickson, Eric A. Maas, Richard L. Nigrovic, Peter A. |
author_facet | Li, Gang Martínez-Bonet, Marta Wu, Di Yang, Yu Cui, Jing Nguyen, Hung N. Cunin, Pierre Levescot, Anaïs Bai, Ming Westra, Harm-Jan Okada, Yukinori Brenner, Michael B. Raychaudhuri, Soumya Hendrickson, Eric A. Maas, Richard L. Nigrovic, Peter A. |
author_sort | Li, Gang |
collection | PubMed |
description | Genome wide association studies have identified many disease-associated non-coding single nucleotide polymorphisms, but cannot distinguish functional SNPs (fSNPs) from others that reside incidentally within risk loci. To address this challenge, we developed an unbiased high-throughput screen that employs type IIS enzymatic restriction to identify fSNPs that allelically modulate the binding of regulatory proteins. We coupled this approach, termed SNP-seq, with flanking restriction enhanced pulldown (FREP) to identify regulation of CD40 by 3 disease-associated fSNPs via 4 regulatory proteins, RBPJ, RSRC2, and FUBP-1/TRAP150. Applying this approach across 27 loci associated with juvenile idiopathic arthritis, we identified 148 candidate fSNPs, including two that regulate STAT4 via the regulatory proteins SATB2 and H1.2. Together, these findings establish the utility of tandem SNP-seq/FREP to bridge the gap between GWAS and disease mechanism. |
format | Online Article Text |
id | pubmed-6072570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
spelling | pubmed-60725702019-01-16 High Throughput Identification of Non-Coding Functional SNPs via Type IIS Enzyme Restriction Li, Gang Martínez-Bonet, Marta Wu, Di Yang, Yu Cui, Jing Nguyen, Hung N. Cunin, Pierre Levescot, Anaïs Bai, Ming Westra, Harm-Jan Okada, Yukinori Brenner, Michael B. Raychaudhuri, Soumya Hendrickson, Eric A. Maas, Richard L. Nigrovic, Peter A. Nat Genet Article Genome wide association studies have identified many disease-associated non-coding single nucleotide polymorphisms, but cannot distinguish functional SNPs (fSNPs) from others that reside incidentally within risk loci. To address this challenge, we developed an unbiased high-throughput screen that employs type IIS enzymatic restriction to identify fSNPs that allelically modulate the binding of regulatory proteins. We coupled this approach, termed SNP-seq, with flanking restriction enhanced pulldown (FREP) to identify regulation of CD40 by 3 disease-associated fSNPs via 4 regulatory proteins, RBPJ, RSRC2, and FUBP-1/TRAP150. Applying this approach across 27 loci associated with juvenile idiopathic arthritis, we identified 148 candidate fSNPs, including two that regulate STAT4 via the regulatory proteins SATB2 and H1.2. Together, these findings establish the utility of tandem SNP-seq/FREP to bridge the gap between GWAS and disease mechanism. 2018-07-16 2018-08 /pmc/articles/PMC6072570/ /pubmed/30013183 http://dx.doi.org/10.1038/s41588-018-0159-z Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Li, Gang Martínez-Bonet, Marta Wu, Di Yang, Yu Cui, Jing Nguyen, Hung N. Cunin, Pierre Levescot, Anaïs Bai, Ming Westra, Harm-Jan Okada, Yukinori Brenner, Michael B. Raychaudhuri, Soumya Hendrickson, Eric A. Maas, Richard L. Nigrovic, Peter A. High Throughput Identification of Non-Coding Functional SNPs via Type IIS Enzyme Restriction |
title | High Throughput Identification of Non-Coding Functional SNPs via Type IIS Enzyme Restriction |
title_full | High Throughput Identification of Non-Coding Functional SNPs via Type IIS Enzyme Restriction |
title_fullStr | High Throughput Identification of Non-Coding Functional SNPs via Type IIS Enzyme Restriction |
title_full_unstemmed | High Throughput Identification of Non-Coding Functional SNPs via Type IIS Enzyme Restriction |
title_short | High Throughput Identification of Non-Coding Functional SNPs via Type IIS Enzyme Restriction |
title_sort | high throughput identification of non-coding functional snps via type iis enzyme restriction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6072570/ https://www.ncbi.nlm.nih.gov/pubmed/30013183 http://dx.doi.org/10.1038/s41588-018-0159-z |
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