Evidence map›Paper›PMID 30013183›Full record

ArticleNature genetics2018

High-throughput identification of noncoding functional SNPs via type IIS enzyme restriction.

Gang Li, Marta Martínez-Bonet, Di Wu, Yu Yang, Jing Cui, Hung N Nguyen, Pierre Cunin, Anaïs Levescot, Ming Bai, Harm-Jan Westra and 6 more

Abstract read
In one paragraph

Article in Nature genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 5 institutions in 3 countries.

Gang LiDivision of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. lig@pitt.edu.
Marta Martínez-BonetDivision of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-0715-403X
Di WuDepartment of Periodontology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Yu YangDivision of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Jing CuiDivision of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Hung N NguyenDivision of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Pierre CuninDivision of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Anaïs LevescotDivision of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Ming BaiDivision of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Harm-Jan WestraDivision of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-7038-567X
Yukinori OkadaDepartment of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan.ORCID http://orcid.org/0000-0002-0311-8472
Michael B BrennerDivision of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Soumya RaychaudhuriDivision of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-1901-8265
Eric A HendricksonBiochemistry, Molecular Biology and Biophysics Department, University of Minnesota Medical School, Minneapolis, MN, USA.
Richard L MaasDivision of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Peter A NigrovicDivision of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. pnigrovic@bwh.harvard.edu.ORCID http://orcid.org/0000-0002-2126-3702
Brigham and Women's Hospital · USBroad Institute · USThe University of Osaka · JPUniversity of Minnesota Medical Center · USUniversity of North Carolina at Chapel Hill · US

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Hazel B Nichols · 2001 to 2026
$36.3M
Joint Biology Consortium Resource-based CenterP30AR070253 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI Peter A Nigrovic, Jeffrey Andrew Sparks · 2016 to 2026
$9.4M
Ly6 family members in neutrophil biologyR01AR065538 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI NIGROVIC, PETER A · 2014 to 2024
$4.0M
The mechanism of Cas9/CRISPR-initiated genome modification in human somatic cellsR01GM088351 · NIGMS · UNIVERSITY OF MINNESOTA · PI HENDRICKSON, ERIC A · 2010 to 2018
$2.3M
Ligase III regulates survival from crisis induced by gradual telomere shorteningR01CA190492 · NCI · UNIVERSITY OF MINNESOTA · PI HENDRICKSON, ERIC A · 2015 to 2019
$1.7M
Using High Throughput Approach to Identify/Characterize Functional Variants on MSR21NS096443 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LI, GANG · 2016 to 2017
$502k
Identifying and Characterizing the Functional SNPs on RA-Associated loci involved in CD40/NF-kB SignalR21AR070378 · NIAMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LI, GANG · 2017 to 2018
$391k
NCI NIH HHS R01 CA190492NIAMS NIH HHS P30 AR070253NIAMS NIH HHS R01 AR065538NIAMS NIH HHS R21 AR070378NIEHS NIH HHS P30 ES010126NIGMS NIH HHS R01 GM088351NINDS NIH HHS R21 NS096443
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have identified many disease-associated noncoding variants, but cannot distinguish functional single-nucleotide polymorphisms (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 three disease-associated fSNPs via four 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.

Indexed as

Polymorphism, Single NucleotideArthritis, JuvenileCD40 AntigensCell Line, TumorCells, CulturedGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyHigh-Throughput Screening AssaysHumansJurkat CellsCD40 Antigens

Identifiers

PMID30013183
PMCPMC6072570
OpenAlexW2884550124

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.