Evidence map›Paper›PMID 33468396›Full record

ArticleJournal of diabetes and its complications2021

Insulin resistance-associated genetic variants in type 1 diabetes.

Rachel G Miller, Stuart J McGurnaghan, Suna Onengut-Gumuscu, Wei-Min Chen, Helen M Colhoun, Stephen S Rich, Trevor J Orchard, Tina Costacou

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of diabetes and its complications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Heterogeneous long-term trajectories of glycaemic control in type 1 diabetes.Diabetic medicine : a journal of the British Diabetic Association · 2021
    Article
  5. Article
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

8 authors at 3 institutions in 2 countries.

Rachel G MillerDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, 4200 Fifth Avenue, Pittsburgh, PA 15260, USA. Electronic address: MillerR@edc.pitt.edu.
Stuart J McGurnaghanUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, EH16 4UX, Scotland, United Kingdom of Great Britain and Northern Ireland.
Suna Onengut-GumuscuCenter for Public Health Genomics, University of Virginia, 200 Jeanette Lancaster Way, Charlottesville, VA 22903, USA.
Wei-Min ChenCenter for Public Health Genomics, University of Virginia, 200 Jeanette Lancaster Way, Charlottesville, VA 22903, USA.
Helen M ColhounUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, EH16 4UX, Scotland, United Kingdom of Great Britain and Northern Ireland.
Stephen S RichCenter for Public Health Genomics, University of Virginia, 200 Jeanette Lancaster Way, Charlottesville, VA 22903, USA.
Trevor J OrchardDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, 4200 Fifth Avenue, Pittsburgh, PA 15260, USA.
Tina CostacouDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, 4200 Fifth Avenue, Pittsburgh, PA 15260, USA.
University of Pittsburgh · USUniversity of Virginia · USUniversity of Edinburgh · GB

Funding

EPIDEMIOLOGY OF DIABETIC COMPLICATIONS--PHASE IIR01DK034818 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI COSTACOU, TINA · 1986 to 2019
$5.6M
Chief Scientist Office ETM/47NIDDK NIH HHS R01 DK034818
6 · The paper itself

Abstract

aimsTo examine candidate insulin resistance single nucleotide polymorphisms (SNPs) for associations with glycemic control, insulin resistance, BMI, and complications in an observational type 1 diabetes (T1D) cohort: the Pittsburgh Epidemiology of Diabetes Complications (EDC) study.

methodsIn 422 European-ancestry participants, we assessed associations using additive models between 15 candidate SNPs and 25-year mortality, cardiovascular disease, microalbuminuria, overt nephropathy and proliferative retinopathy, and 25-year mean HbA1c, estimated glucose disposal rate (eGDR, inverse measure of insulin resistance), and BMI.

resultsThe A allele of rs12970134 was associated with higher mean HbA1c (β = +0.34 ± 0.09, p = 0.00009) and nominally associated with worse eGDR (p = 0.02). Further analyses suggest the HbA1c association may be modified by diabetes therapy regimen: rs12970134 AA genotype was associated with higher HbA1c under non-intensive therapy conditions (<3 insulin injections/day or monitoring blood glucose<3 times/day [p = 0.004]), but not under intensive therapy (≥3 injections/day or insulin pump and monitoring glucose≥3 times/day [p = 0.71]). There were no significant associations between any SNPs and BMI or complications.

conclusionsrs12970134, near MC4R, is strongly associated with HbA1c in this cohort. Further exploration of this genomic region is warranted, as it may hold promise for discovering new therapeutic targets to improve glycemic control in T1D.

Indexed as

Diabetes ComplicationsDiabetes Mellitus, Type 1Insulin ResistanceBlood GlucoseGlycated HemoglobinHumansInsulinBlood GlucoseGlycated HemoglobinInsulinGeneticsGlycemic controlInsulin resistanceIntensive insulin therapyType 1 diabetes

Identifiers

PMID33468396
PMCPMC7936951
OpenAlexW3119033083

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.