Evidence map›Paper›PMID 29404672›Full record

ArticleDiabetologia2018

Meta-genome-wide association studies identify a locus on chromosome 1 and multiple variants in the MHC region for serum C-peptide in type 1 diabetes.

Delnaz Roshandel, Rose Gubitosi-Klug, Shelley B Bull, Angelo J Canty, Marcus G Pezzolesi, George L King, Hillary A Keenan, Janet K Snell-Bergeon, David M Maahs, Ronald Klein and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Diabetologia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Systematic Review of Polygenic Risk Scores for Type 1 and Type 2 Diabetes.International journal of molecular sciences · 2020
    Pooled it
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  19. Type 1 diabetes.Lancet (London, England) · 2018
    Review
  20. Clinical and research uses of genetic risk scores in type 1 diabetes.Current opinion in genetics & development · 2018
    Review
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

17 authors at 12 institutions in 3 countries.

Delnaz RoshandelGenetics and Genome Biology Program, Peter Gilgan Centre for Research and Learning (PGCRL), The Hospital for Sick Children, 686 Bay Street, Toronto, ON, M5G 1H3, Canada.
Rose Gubitosi-KlugUniversity Hospitals Case Western Medical Center, Cleveland, OH, USA.
Shelley B BullLunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.
Angelo J CantyDepartment of Mathematics and Statistics, McMaster University, Hamilton, ON, Canada.
Marcus G PezzolesiDivision of Nephrology and Hypertension, Diabetes and Metabolism Center, University of Utah, Salt Lake City, UT, USA.
George L KingResearch Division, Joslin Diabetes Center, Boston, MA, USA.
Hillary A KeenanResearch Division, Joslin Diabetes Center, Boston, MA, USA.
Janet K Snell-BergeonBarbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
David M MaahsBarbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Ronald KleinDepartment of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, WI, USA.
Barbara E K KleinDepartment of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, WI, USA.
Trevor J OrchardDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Tina CostacouDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Michael N WeedonInstitute for Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK.
DCCT/EDIC Research Group
Richard A OramInstitute for Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK.
Andrew D PatersonGenetics and Genome Biology Program, Peter Gilgan Centre for Research and Learning (PGCRL), The Hospital for Sick Children, 686 Bay Street, Toronto, ON, M5G 1H3, Canada. andrew.paterson@sickkids.ca.
Public Health Ontario · CAUniversity of Colorado Anschutz Medical Campus · USUniversity of Pittsburgh · USUniversity of Wisconsin–Madison · USHarvard University · USHospital for Sick Children · CAJoslin Diabetes Center · USMcMaster University · CANIHR Exeter Clinical Research Facility · GBUniversity Hospitals Case Medical Center · USUniversity of Exeter · GBUniversity of Utah · US

Funding

Limited Competition for the Continuation of Epidemiology of Diabetes Interventions and Complications (EDIC) Study Clinical Research Center (Collaborative U01)U01DK094157 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI Ionut Bebu, Barbara Halina Braffett · 2011 to 2026
$97.6M
HARVARD CLINICAL AND TRANSLATIONAL SCIENCE CENTER (UL1)UL1RR025758 · NCRR · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2008 to 2011
$91.4M
Type 1 Diabetes Genetics ConsortiumU01DK062418 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI RICH, STEPHEN S. · 2002 to 2007
$59.8M
SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI JEAN E. SCHAFFER · 1986 to 2026
$50.5M
Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · PI Sakeneh Zraika · 1986 to 2026
$41.4M
PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Wendy M Kohrt · 1995 to 2026
$32.6M
Epidemiology of Diabetes Interventions and Complications Data Coordinating CenterU01DK094176 · NIDDK · GEORGE WASHINGTON UNIVERSITY · PI BEBU, IONUT, BRAFFETT, BARBARA HALINA · 2012 to 2022
$30.8M
UCHSC DIABETES ENDOCRINOLOGY RESEARCH CENTERP30DK057516 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI HUTTON, JOHN C · 2000 to 2010
$14.0M
Epidemiology of Diabetes Complications (EDC) Phase II: renewalR37DK034818 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ORCHARD, TREVOR J. · 2009 to 2018
$6.5M
EPIDEMIOLOGY OF DIABETIC COMPLICATIONS--PHASE IIR01DK034818 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI COSTACOU, TINA · 1986 to 2019
$5.6M
SUBCLINICAL HEART DISEASE IN INSULIN-DEPENDENT DIABETESR01HL061753 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI REWERS, MARIAN J. · 1999 to 2007
$5.2M
Breakthrough T1D 17-2013-9DERC Clinical Investigation Core P30 DK57516NCATS NIH HHS UL1 TR001082NCRR NIH HHS UL1 RR025758NEI NIH HHS R01EY03083NHLBI NIH HHS R01 HL061753NHLBI NIH HHS R01 HL079611NHLBI NIH HHS R01 HL113029NIDDK NIH HHS P30 DK017047NIDDK NIH HHS P30 DK036836NIDDK NIH HHS P30 DK057516NIDDK NIH HHS R01 DK034818NIDDK NIH HHS R01 DK077510NIDDK NIH HHS R01 DK116731NIDDK NIH HHS R37 DK034818NIDDK NIH HHS U01 DK062418NIDDK NIH HHS U01 DK094157NIDDK NIH HHS U01 DK094176NIDDK NIH HHS UL1 RR025758-03
6 · The paper itself

Abstract

aims/hypothesisThe aim of this study was to identify genetic variants associated with beta cell function in type 1 diabetes, as measured by serum C-peptide levels, through meta-genome-wide association studies (meta-GWAS).

methodsWe performed a meta-GWAS to combine the results from five studies in type 1 diabetes with cross-sectionally measured stimulated, fasting or random C-peptide levels, including 3479 European participants. The p values across studies were combined, taking into account sample size and direction of effect. We also performed separate meta-GWAS for stimulated (n = 1303), fasting (n = 2019) and random (n = 1497) C-peptide levels.

resultsIn the meta-GWAS for stimulated/fasting/random C-peptide levels, a SNP on chromosome 1, rs559047 (Chr1:238753916, T>A, minor allele frequency [MAF] 0.24-0.26), was associated with C-peptide (p = 4.13 × 10 CONCLUSIONS/

interpretationWe identified a locus on chromosome 1 and multiple variants in the MHC region, at least some of which were distinct from type 1 diabetes risk loci, that were associated with C-peptide, suggesting partly non-overlapping mechanisms for the development and progression of type 1 diabetes. These associations need to be validated in independent populations. Further investigations could provide insights into mechanisms of beta cell loss and opportunities to preserve beta cell function.

Indexed as

Genome-Wide Association StudyAdolescentAdultAllelesChromosomes, Human, Pair 1C-PeptideCross-Sectional StudiesDiabetes Mellitus, Type 1FemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeHistocompatibility Antigens Class IHumansInsulin-Secreting CellsMaleC-PeptideHistocompatibility Antigens Class IC-peptideGenome-wide association studyInsulin-secreting cellsSingle nucleotide polymorphismType 1 diabetes

Identifiers

PMID29404672
PMCPMC5876265
OpenAlexW2789830323

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Registered trials

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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.