Cited by 20Genetic Associations and EpidemiologyDiabetes and associated disordersPancreatic function and diabetes

Variation in maturity-onset diabetes of the young genes influence response to interventions for diabetes prevention

Open access
Billings, Liana K, Jablonski, Kathleen A, Warner, A Sofia, Cheng, Yu-Chien, McAteer, Jarred B, Tipton, Laura, Shuldiner, Alan R, Ehrmann, David A +9 more·2017·The Journal of Clinical Endocrinology & Metabolism

Abstract

Context: Variation in genes that cause maturity-onset diabetes of the young (MODY) has been associated with diabetes incidence and glycemic traits. Objectives: This study aimed to determine whether genetic variation in MODY genes leads to differential responses to insulin-sensitizing interventions. Design and Setting: This was a secondary analysis of a multicenter, randomized clinical trial, the Diabetes Prevention Program (DPP), involving 27 US academic institutions. We genotyped 22 missense and 221 common variants in the MODY-causing genes in the participants in the DPP. Participants and Interventions: The study included 2806 genotyped DPP participants randomized to receive intensive lifestyle intervention (n = 935), metformin (n = 927), or placebo (n = 944). Main Outcome Measures: Association of MODY genetic variants with diabetes incidence at a median of 3 years and measures of 1-year β-cell function, insulinogenic index, and oral disposition index. Analyses were stratified by treatment group for significant single-nucleotide polymorphism × treatment interaction (Pint < 0.05). Sequence kernel association tests examined the association between an aggregate of rare missense variants and insulinogenic traits. Results: After 1 year, the minor allele of rs3212185 (HNF4A) was associated with improved β-cell function in the metformin and lifestyle groups but not the placebo group; the minor allele of rs6719578 (NEUROD1) was associated with an increase in insulin secretion in the metformin group but not in the placebo and lifestyle groups. Conclusions: These results provide evidence that genetic variation among MODY genes may influence response to insulin-sensitizing interventions.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1210/jc.2016-3429

Cites

49 of 49 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Billings, L. K., Jablonski, K. A., Warner, A. S., Cheng, Y.-C., McAteer, J. B., Tipton, L., Shuldiner, A. R., Ehrmann, D. A., Manning, A. K., Dabelea, D., Franks, P. W., Kahn, S. E., Pollin, T. I., Knowler, W. C., Altshuler, D., Florez, J. C., & for the Diabetes Prevention Program Research Group
Affiliations
  • Endeavor Health (US)
  • George Washington University (US)
  • Massachusetts General Hospital (US)
  • University of Maryland, Baltimore (US)
  • University of Chicago (US)
  • Broad Institute (US)
  • Colorado School of Public Health (US)
  • Lund University (SE)
  • University of Washington (US)
  • National Institutes of Health (US)
  • Diabetes Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts 02114
Venue
The Journal of Clinical Endocrinology & Metabolism
Published
2017-04-27
Volume
102
Issue
8
Pages
2678-2689
ISSN
  • 0021-972X (ISSN-L)
  • 1945-7197
OpenAlex
W2608826156
Cited by
20
References
49
Citations by year
2025: 1 · 2024: 3 · 2023: 4 · 2021: 5 · 2020: 2 · 2019: 2 · 2018: 1 · 2017: 2
FWCI
1.27
Type
journal article
Language
en
Open access
Locations
  • The Journal of Clinical Endocrinology & Metabolism (publishedVersion, public-domain)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Lund University Publications (Lund University) (submittedVersion)
Funders
  • Doris Duke Charitable Foundation
  • Eli Lilly and Company
  • Massachusetts General Hospital
  • George Washington University
  • NorthShore University HealthSystem
  • Novo Nordisk Fonden (NNF14OC0011039)
  • National Institutes of Health
  • National Institute of Diabetes and Digestive and Kidney Diseases (U01DK048339, U01DK048375, U01DK048397, R01DK072041, U01DK048413, DK048489, U01DK048485, U01DK048400, L30 DK089944, K24DK110550, U01DK048380, U01DK048412, U01DK048437, U01DK048514, U01DK048489, U01DK048407, DK007028, U01DK048381, U01DK048443, U01DK048404, P30DK017047, T32DK007028)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
  • Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
Keywords
maturity-onset diabetes of the young, MODY genes, genetic variation, diabetes prevention, metformin, lifestyle intervention, HNF4α, NeuroD1, beta-cell function, insulin secretion, genetic susceptibility, treatment response, single nucleotide polymorphisms, rare missense variants, Diabetes Prevention Program
MeSH terms
Diabetes Mellitus, Type 2, Exercise Therapy, Glucokinase, Humans, Metformin, Genetic Variation, Trans-Activators, Treatment Outcome, Homeodomain Proteins, Mutation, Missense, Polymorphism, Single Nucleotide, Risk Reduction Behavior, Hepatocyte Nuclear Factor 1-alpha, Hepatocyte Nuclear Factor 1-beta, Hepatocyte Nuclear Factor 4, Basic Helix-Loop-Helix Proteins, Weight Reduction Programs

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review