Evidence map›Paper›PMID 30242153›Full record

ArticleNature communications2018

Discovering human diabetes-risk gene function with genetics and physiological assays.

Heshan Peiris, Sangbin Park, Shreya Louis, Xueying Gu, Jonathan Y Lam, Olof Asplund, Gregory C Ippolito, Rita Bottino, Leif Groop, Haley Tucker and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
8.5field-weighted citation impact, top 2% 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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 citations in OpenAlex.

  1. Pooled it
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  17. The Genetics of Diabetes: What We Can Learn fromInternational journal of molecular sciences · 2021
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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

11 authors at 5 institutions in 2 countries.

Heshan PeirisDepartment of Developmental Biology, Stanford University School of Medicine, 279 Campus Drive, Stanford, CA, 94305, USA.
Sangbin ParkDepartment of Developmental Biology, Stanford University School of Medicine, 279 Campus Drive, Stanford, CA, 94305, USA.
Shreya LouisDepartment of Developmental Biology, Stanford University School of Medicine, 279 Campus Drive, Stanford, CA, 94305, USA.ORCID http://orcid.org/0000-0001-5752-6271
Xueying GuDepartment of Developmental Biology, Stanford University School of Medicine, 279 Campus Drive, Stanford, CA, 94305, USA.
Jonathan Y LamDepartment of Developmental Biology, Stanford University School of Medicine, 279 Campus Drive, Stanford, CA, 94305, USA.
Olof AsplundUnit of Diabetes and Endocrinology, Lund University Diabetes Centre, Lund SE-205 02, Lund, Sweden.
Gregory C IppolitoInstitute for Cellular and Molecular Biology and Department of Molecular Biosciences, University of Texas at Austin, Austin, TX, 78712, USA.
Rita BottinoInstitute of Cellular Therapeutics, Allegheny Health Network, Pittsburgh, PA, 15212, USA.
Leif GroopUnit of Diabetes and Endocrinology, Lund University Diabetes Centre, Lund SE-205 02, Lund, Sweden.ORCID http://orcid.org/0000-0002-0187-3263
Haley TuckerInstitute for Cellular and Molecular Biology and Department of Molecular Biosciences, University of Texas at Austin, Austin, TX, 78712, USA.ORCID http://orcid.org/0000-0001-7735-2862
Seung K KimDepartment of Developmental Biology, Stanford University School of Medicine, 279 Campus Drive, Stanford, CA, 94305, USA. seungkim@stanford.edu.
Stanford University · USLund University · SEThe University of Texas at Austin · USAllegheny Health Network · USStanford Medicine · US

Funding

Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
Vanderbilt Diabetes Research CenterP30DK020593 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ALVIN C POWERS · 2012 to 2026
$29.3M
Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
Proposal for the AMP T2D-GENES Data Coordination Center and Web PortalU01DK105554 · NIDDK · BROAD INSTITUTE, INC. · PI FLOREZ, JOSE CARLOS · 2015 to 2019
$16.8M
Molecular Mechanisms of Physiologic Beta Cell Growth in Juvenile Human PancreasUC4DK104211 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KIM, SEUNG K, POWERS, ALVIN C · 2014 to 2015
$4.0M
MAR MEDIATED GENETIC SWITCH FOR IGH ENHANCER CONTROLR01CA031534 · NCI · UNIVERSITY OF TEXAS SW MED CTR/DALLAS · PI TUCKER, HALEY O · 1985 to 2012
$2.9M
Regulation of gastrointestinal hormone signaling and metabolism by Neuromedin UR01DK107507 · NIDDK · STANFORD UNIVERSITY · PI KIM, SEUNG K · 2017 to 2021
$2.0M
Discovering genetic and hormonal mechanisms underlying diabetes risk from flies to humansR01DK108817 · NIDDK · STANFORD UNIVERSITY · PI KIM, SEUNG K · 2018 to 2022
$2.0M
NFAT control of pancreatic islet beta-cell functional maturationR01DK102612 · NIDDK · STANFORD UNIVERSITY · PI KIM, SEUNG K · 2015 to 2017
$1.1M
BCL11A in normal B-cell biology and malignancyF32CA110624 · NCI · UNIVERSITY OF TEXAS AUSTIN · PI IPPOLITO, GREGORY C · 2005 to 2007
$156k
NCATS NIH HHS UL1 TR001085NCI NIH HHS F32 CA110624NCI NIH HHS R01 CA031534NIDDK NIH HHS P30 DK020593NIDDK NIH HHS P30 DK116074NIDDK NIH HHS R01 DK102612NIDDK NIH HHS R01 DK107507NIDDK NIH HHS R01 DK108817NIDDK NIH HHS U01 DK105554NIDDK NIH HHS UC4 DK104211
6 · The paper itself

Abstract

Developing systems to identify the cell type-specific functions regulated by genes linked to type 2 diabetes (T2D) risk could transform our understanding of the genetic basis of this disease. However, in vivo systems for efficiently discovering T2D risk gene functions relevant to human cells are currently lacking. Here we describe powerful interdisciplinary approaches combining Drosophila genetics and physiology with human islet biology to address this fundamental gap in diabetes research. We identify Drosophila orthologs of T2D-risk genes that regulate insulin output. With human islets, we perform genetic studies and identify cognate human T2D-risk genes that regulate human beta cell function. Loss of BCL11A, a transcriptional regulator, in primary human islet cells leads to enhanced insulin secretion. Gene expression profiling reveals BCL11A-dependent regulation of multiple genes involved in insulin exocytosis. Thus, genetic and physiological systems described here advance the capacity to identify cell-specific T2D risk gene functions.

Indexed as

Genes, InsectAnimalsCarrier ProteinsDiabetes Mellitus, Type 2DrosophilaExocytosisGene Expression ProfilingGenetic Predisposition to DiseaseHumansInsulin SecretionIslets of LangerhansNuclear ProteinsRepressor ProteinsRisk AssessmentBCL11A protein, humanCarrier ProteinsNuclear ProteinsRepressor Proteins

Identifiers

PMID30242153
PMCPMC6155000
OpenAlexW2889818981

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.