Evidence map›Paper›PMID 34012112›Full record

ArticleNature2021

Interpreting type 1 diabetes risk with genetics and single-cell epigenomics.

Joshua Chiou, Ryan J Geusz, Mei-Lin Okino, Jee Yun Han, Michael Miller, Rebecca Melton, Elisha Beebe, Paola Benaglio, Serina Huang, Katha Korgaonkar and 6 more

Open access · greenAbstract read
In one paragraph

Article in Nature, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 301 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
301citing papers in PubMed, 7 pooled it
75.3field-weighted citation impact, top 1% 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

301 citing papers in PubMed, 7 syntheses or guidelines pooled it, 466 citations in OpenAlex.

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241 more citing papers are in PubMed but not listed here.

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 2 countries.

Joshua ChiouBiomedical Sciences Graduate Program, University of California San Diego, La Jolla, CA, USA. joshua.chiou@pfizer.com.ORCID http://orcid.org/0000-0002-4618-0647
Ryan J GeuszBiomedical Sciences Graduate Program, University of California San Diego, La Jolla, CA, USA.
Mei-Lin OkinoDepartment of Pediatrics, Pediatric Diabetes Research Center, University of California San Diego, La Jolla, CA, USA.
Jee Yun HanCenter for Epigenomics, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA.
Michael MillerCenter for Epigenomics, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA.
Rebecca MeltonBiomedical Sciences Graduate Program, University of California San Diego, La Jolla, CA, USA.
Elisha BeebeDepartment of Pediatrics, Pediatric Diabetes Research Center, University of California San Diego, La Jolla, CA, USA.
Paola BenaglioDepartment of Pediatrics, Pediatric Diabetes Research Center, University of California San Diego, La Jolla, CA, USA.
Serina HuangDepartment of Pediatrics, Pediatric Diabetes Research Center, University of California San Diego, La Jolla, CA, USA.
Katha KorgaonkarDepartment of Pediatrics, Pediatric Diabetes Research Center, University of California San Diego, La Jolla, CA, USA.
Sandra HellerDepartment of Internal Medicine I, Ulm University, Ulm, Germany.ORCID http://orcid.org/0000-0002-8704-2646
Alexander KlegerDepartment of Internal Medicine I, Ulm University, Ulm, Germany.ORCID http://orcid.org/0000-0003-0592-5232
Sebastian PreisslCenter for Epigenomics, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA.
David U GorkinCenter for Epigenomics, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA.
Maike SanderDepartment of Pediatrics, Pediatric Diabetes Research Center, University of California San Diego, La Jolla, CA, USA.
Kyle J GaultonDepartment of Pediatrics, Pediatric Diabetes Research Center, University of California San Diego, La Jolla, CA, USA. kgaulton@health.ucsd.edu.ORCID http://orcid.org/0000-0003-1318-7161
University of California San Diego · USUniversität Ulm · DEEmory University · USPfizer (United States) · USUC San Diego Health System · US

Funding

Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PETER J TONTONOZ · 2003 to 2026
$40.4M
Training Program in Basic Clinical GeneticsT32GM008666 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HAMILTON, BRUCE A · 1998 to 2021
$8.6M
Genetic mechanisms of type 1 diabetes risk in stress-induced pancreatic isletsR01DK122607 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GAULTON, KYLE JEFFRIE · 2019 to 2022
$4.4M
Fine-mapping and functional analysis of T1D-associated variantsDP3DK112155 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FRAZER, KELLY A, SANDER, MAIKE · 2016 to 2016
$3.3M
Single cell analysis of the human pancreas in type 1 diabetesU01DK120429 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GAULTON, KYLE JEFFRIE, SANDER, MAIKE · 2018 to 2021
$3.1M
NIDDK NIH HHS DP3 DK112155NIDDK NIH HHS P30 DK063491NIDDK NIH HHS R01 DK122607NIDDK NIH HHS U01 DK120429NIGMS NIH HHS T32 GM008666NIH HHS DK120429NIH HHS DK122607
6 · The paper itself

Abstract

Genetic risk variants that have been identified in genome-wide association studies of complex diseases are primarily non-coding

Indexed as

EpigenomicsGenetic Predisposition to DiseaseSingle-Cell AnalysisChromatinCystic Fibrosis Transmembrane Conductance RegulatorDiabetes Mellitus, Type 1FemaleGene Expression RegulationGenome-Wide Association StudyHumansImmunityMalePancreatic DuctsCFTR protein, humanChromatinCystic Fibrosis Transmembrane Conductance Regulator

Identifiers

PMID34012112
PMCPMC10560508
OpenAlexW3163935900

What OpenQuestion 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 OpenQuestion graph.