Evidence map›Paper›PMID 38608262›Full record

ArticleDiabetes care2024

Type 1 Diabetes Genetic Risk in 109,954 Veterans With Adult-Onset Diabetes: The Million Veteran Program (MVP).

Peter K Yang, Sandra L Jackson, Brian R Charest, Yiling J Cheng, Yan V Sun, Sridharan Raghavan, Elizabeth M Litkowski, Brian T Legvold, Mary K Rhee, Richard A Oram and 14 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Observational
  2. Article
  3. 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

24 authors at 13 institutions in 2 countries.

Peter K YangDivision for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA.ORCID 0000-0001-9379-6981
Sandra L JacksonDivision for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA.
Brian R CharestMassachusetts Veterans Epidemiology Research and Information Center, Boston, MA.
Yiling J ChengDivision of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA.
Yan V SunAtlanta Veterans Administration Medical Center, Atlanta, GA.
Sridharan RaghavanRocky Mountain Regional Veterans Affairs Medical Center, Aurora, CO.
Elizabeth M LitkowskiRocky Mountain Regional Veterans Affairs Medical Center, Aurora, CO.
Brian T LegvoldDivision of Endocrinology and Metabolism, Department of Medicine, Emory University School of Medicine, Atlanta, GA.
Mary K RheeAtlanta Veterans Administration Medical Center, Atlanta, GA.
Richard A OramCollege of Medicine and Health, University of Exeter Medical School, Devon, U.K.
Elena V KuklinaDivision for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA.
Marijana VujkovicPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Peter D ReavenPhoenix Veterans Affairs Health Care System, Phoenix, AZ.
Kelly ChoMassachusetts Veterans Epidemiology Research and Information Center, Boston, MA.
Aaron LeongHarvard Medical School, Boston, MA.
Peter W F WilsonAtlanta Veterans Administration Medical Center, Atlanta, GA.
Jin ZhouPhoenix Veterans Affairs Health Care System, Phoenix, AZ.
Donald R MillerBedford Veterans Affairs Medical Center, Bedford, MA.
Seth A SharpDivision of Endocrinology and Diabetes, Stanford University, Palo Alto, CA.
Lisa R StaimezRollins School of Public Health, Emory University, Atlanta, GA.
Kari E NorthGillings School of Global Public Health, University of North Carolina, Chapel Hill, NC.
Heather M HighlandGillings School of Global Public Health, University of North Carolina, Chapel Hill, NC.
Lawrence S PhillipsAtlanta Veterans Administration Medical Center, Atlanta, GA.ORCID 0000-0002-6542-8046
Million Veteran Program
United States Department of Veterans Affairs · USCenters for Disease Control and Prevention · USUniversity of North Carolina at Chapel Hill · USBrigham and Women's Hospital · USEmory University · USVeterans Health Administration · USEdith Nourse Rogers Memorial Veterans Hospital · USHarvard University · USPhoenix VA Health Care System · USStanford University · USUniversity of California, Los Angeles · USUniversity of Exeter · GBUniversity of Pennsylvania · US

Funding

Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Vitamin D and Type 2 Diabetes (D2d)U01DK098245 · NIDDK · TUFTS MEDICAL CENTER · PI PITTAS, ANASTASSIOS G · 2013 to 2020
$45.6M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
Institutional Career Development CoreKL2TR002381 · NCATS · EMORY UNIVERSITY · PI HENRY M BLUMBERG, Anandi Nayan Sheth · 2017 to 2026
$14.1M
Translational Research Core - Engagement and Behavior ChangeP30DK111024 · NIDDK · EMORY UNIVERSITY · PI Mohammed Kumail Ali · 2016 to 2026
$13.4M
Neuro HPA Project 1U54AG062334 · NIA · EMORY UNIVERSITY · PI Ighovwerha Ofotokun · 2018 to 2026
$12.2M
University of Colorado Anschutz Medical Campus DRCP30DK116073 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI LORI SUSSEL · 2020 to 2026
$10.8M
Development of Polygenic Risk Scores for Diabetes and Complications across the Life-Span in Populations of Multiple AncestriesU01HG011723 · NHGRI · BROAD INSTITUTE, INC. · PI Alisa Knodle Manning, Josep Maria Mercader · 2021 to 2026
$5.7M
CHANGING THE NATURAL HISTORY OF TYPE 2 DIABETES – “CHANGE” STUDYR01DK127083 · NIDDK · EMORY UNIVERSITY · PI PHILLIPS, LAWRENCE S · 2021 to 2025
$1.7M
The Role of Tuberculosis Disease on Non-Communicable Disease Risk: Comparative Analysis of Large Healthcare DatabasesR21AI156161 · NIAID · EMORY UNIVERSITY · PI CRITCHLEY, JULIA ALISON, MAGEE, MATTHEW JAMES · 2021 to 2022
$372k
Prediction of CVD Risk in VeteransI01CX001025 · VA · VETERANS HEALTH ADMINISTRATION · PI CHO, KELLY, WILSON, PETER WYMAN · 2014 to 2025
–
Diabetic Complications and Genetic Variants in the Million Veterans ProgramI01BX005831 · VA · VETERANS HEALTH ADMINISTRATION · PI PHILLIPS, LAWRENCE S, SUN, YAN · 2022 to 2025
–
BLRD VA I01 BX003340BLRD VA I01 BX003362BLRD VA I01 BX005831Boettcher Foundation Webb-Waring Biomedical Research ProgramCSRD VA I01 CX001025CSRD VA I01 CX001737CSRD VA IK2 CX001907Cystic Fibrosis Foundation PHILLI12A0Diabetes UK 16/0005529Doris Duke Charitable Foundation 2020096NCATS NIH HHS KL2 TR002381NCATS NIH HHS UL1 TR002378NHGRI NIH HHS U01 HG011723NHLBI NIH HHS T32 Training GrantNIAID NIH HHS R21 AI156161NIA NIH HHS U54 AG062334NIDDK NIH HHS P30 DK111024NIDDK NIH HHS P30 DK116073NIDDK NIH HHS R01 DK127083NIDDK NIH HHS U01 DK098245NIEHS NIH HHS P30 ES010126NIH HHS AI156161Oak Ridge Institute for Science and Educationthe Million Veteran Program, Office of Research and Development, Veterans Health AdministrationU.S. Department of Veterans Affairs CX001899
6 · The paper itself

Abstract

objectiveTo characterize high type 1 diabetes (T1D) genetic risk in a population where type 2 diabetes (T2D) predominates. RESEARCH DESIGN AND

methodsCharacteristics typically associated with T1D were assessed in 109,594 Million Veteran Program participants with adult-onset diabetes, 2011-2021, who had T1D genetic risk scores (GRS) defined as low (0 to <45%), medium (45 to <90%), high (90 to <95%), or highest (≥95%).

resultsT1D characteristics increased progressively with higher genetic risk (P < 0.001 for trend). A GRS ≥90% was more common with diabetes diagnoses before age 40 years, but 95% of those participants were diagnosed at age ≥40 years, and their characteristics resembled those of individuals with T2D in mean age (64.3 years) and BMI (32.3 kg/m2). Compared with the low-risk group, the highest-risk group was more likely to have diabetic ketoacidosis (low GRS 0.9% vs. highest GRS 3.7%), hypoglycemia prompting emergency visits (3.7% vs. 5.8%), outpatient plasma glucose <50 mg/dL (7.5% vs. 13.4%), a shorter median time to start insulin (3.5 vs. 1.4 years), use of a T1D diagnostic code (16.3% vs. 28.1%), low C-peptide levels if tested (1.8% vs. 32.4%), and glutamic acid decarboxylase antibodies (6.9% vs. 45.2%), all P < 0.001.

conclusionsCharacteristics associated with T1D were increased with higher genetic risk, and especially with the top 10% of risk. However, the age and BMI of those participants resemble those of people with T2D, and a substantial proportion did not have diagnostic testing or use of T1D diagnostic codes. T1D genetic screening could be used to aid identification of adult-onset T1D in settings in which T2D predominates.

Indexed as

Diabetes Mellitus, Type 1VeteransAdultAgedDiabetes Mellitus, Type 2FemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedRisk Factors

Identifiers

PMID38608262
PMCPMC11116922
OpenAlexW4394742002

What OpenQuestion holds

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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.