Trial reportThe Journal of clinical endocrinology and metabolism2007

Effects of the type 2 diabetes-associated PPARG P12A polymorphism on progression to diabetes and response to troglitazone.

Jose C Florez, Kathleen A Jablonski, Maria W Sun, Nick Bayley, Steven E Kahn, Harry Shamoon, Richard F Hamman, William C Knowler, David M Nathan, David Altshuler and 1 more

Open access · bronzeAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in The Journal of clinical endocrinology and metabolism, 2007. The graph read 1 number from its abstract, feeding 1 cell of the map: it finds no clear difference in 1. Cited by 58 papers, 4 of them syntheses that pooled it.

1number the graph read from it
1cell of the map it votes in
58citing papers in PubMed, 4 pooled it
8.4field-weighted citation impact, top 1% 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.

← favours the treatmentfavours the comparator →
1 · no effect
Liver & MASLDno clear difference · against placebo · t2dfeeds one cell of the map
HR 1.240.99 to 1.57P=0.07
RESULTS: Consistent with prior cross-sectional studies, P/P homozygotes at PPARG P12A appeared more likely to develop diabetes than alanine carriers (hazard ratio, 1.24; 95% confidence interval, 0.99-1.57; P=0.07) with no interaction of genotype with intervention.

clause the extractor read what became the number

2 · Its place on the map

Where it lands on the map

Rows are treatments, columns are outcomes. The coloured squares are the cells this paper feeds, coloured by the vote it casts there. Click one to jump to what this paper adds to it.

supports the treatmentfavours the comparatorno clear differenceread, but no usable result
3 · What it changes

What it adds to each cell

For every cell the paper feeds: the belief in the claim with and without this paper, and this paper's estimate drawn against every other readable study in the cell. The ringed dot is this paper.

Cardiac procedures & devices×liver & masld

InconclusiveOpen on the map →What to test next →

1 readable study in this cell: 0 favour the treatment, 1 find no difference, 0 favour the comparator.

Belief with this paper
0.25no deciding trial · 0 families support, 0 contradict · against placebo
Without itThis paper is the only evidence family behind the claim. Without it there is no number.
← favours the treatmentfavours the comparator →
1 · no effect
This paper · 2007
HR 1.240.99 to 1.57
4 · 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.

5 · Its place in the literature

Who cites it

58 citing papers in PubMed, 4 syntheses or guidelines pooled it, 131 citations in OpenAlex.

  1. Gene-lifestyle interaction on risk of type 2 diabetes: A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2019
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Trial
  8. Article
  9. Identification of antidiabetic inhibitors fromSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
    Article
  10. MicroRNAs Associated With Incident Diabetes in the Diabetes Prevention Program.The Journal of clinical endocrinology and metabolism · 2023
    Article
  11. Review
  12. Article
  13. Pharmacogenomic Studies of Current Antidiabetic Agents and Potential New Drug Targets for Precision Medicine of Diabetes.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2020
    Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Effects Of PPARγ2 Pro12Ala Variant On Adipocyte Phenotype Dependent Of DHA.Diabetes, metabolic syndrome and obesity : targets and therapy · 2019
    Article
  19. Article
  20. Article
6 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

7 · Who and what money

Authors and funding

11 authors at 9 institutions in 1 country.

Jose C FlorezCenter for Human Genetic Research and Department of Medicine, Massachusetts General Hospital, and Harvard Medical School, Boston 02114, USA. jcflorez@partners.org
Kathleen A Jablonski
Maria W Sun
Nick Bayley
Steven E Kahn
Harry Shamoon
Richard F Hamman
William C Knowler
David M Nathan
David Altshuler
Diabetes Prevention Program Research Group
Center for Human Genetics · USAlbert Einstein College of Medicine · USBroad Institute · USGeorge Washington University · USMassachusetts General Hospital · USMassachusetts Institute of Technology · USNational Institute of Diabetes and Digestive and Kidney Diseases · USUniversity of Colorado Denver · USUniversity of Washington · US

Funding

PRIMARY PREVENTION TRIAL--DATA COORDINATING CENTERU01DK048489 · NIDDK · GEORGE WASHINGTON UNIVERSITY · PI JABLONSKI, KATHLEEN ANN, TEMPROSA, MARINELLA · 1994 to 2021
$84.8M
Native Americans: Diabetes Mellitus/Chronic DiseasesZ01DK069000 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI KNOWLER, WILLIAM C · 1986 to 2008
$680k
Genetic variation in drug targets for type 2 diabetesK23DK065978 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI FLOREZ, JOSE CARLOS · 2004 to 2008
$653k
NIDDK NIH HHS 1 K23 DK65978-03NIDDK NIH HHS K23 DK065978NIDDK NIH HHS U01 DK048489
8 · The paper itself

Abstract

The marked sentences are the ones the graph read a number from.

contextThe common P12A polymorphism in PPARG (a target for thiazolidinedione medications) has been consistently associated with type 2 diabetes.

objectiveWe examined whether PPARG P12A affects progression from impaired glucose tolerance to diabetes, or responses to preventive interventions (lifestyle, metformin, or troglitazone vs. placebo). PATIENTS: This study included 3548 Diabetes Prevention Program participants.

designWe performed Cox regression analysis using genotype at PPARG P12A, intervention, and their interactions as predictors of diabetes incidence. We also genotyped five other PPARG variants implicated in the response to troglitazone and assessed their effect on insulin sensitivity at 1 yr.

resultsConsistent with prior cross-sectional studies, P/P homozygotes at PPARG P12A appeared more likely to develop diabetes than alanine carriers (hazard ratio, 1.24; 95% confidence interval, 0.99-1.57; P=0.07) with no interaction of genotype with intervention. There was a significant interaction of genotype with body mass index and waist circumference (P=0.03 and 0.002, respectively) with the alanine allele conferring less protection in more obese individuals. Neither PPARG P12A nor five other variants significantly affected the impact of troglitazone on insulin sensitivity in 340 participants at 1 yr.

conclusionsThe proline allele at PPARG P12A increases risk for diabetes in persons with impaired glucose tolerance, an effect modified by body mass index. In addition, PPARG P12A has little or no effect on the beneficial response to troglitazone.

Indexed as

Amino Acid SubstitutionChromansCross-Sectional StudiesDiabetes Mellitus, Type 2Disease ProgressionGenetic VariationGenotypeHumansHypoglycemic AgentsLife StyleMetforminPolymorphism, Single NucleotidePPAR gammaThiazolidinedionesTroglitazoneChromansHypoglycemic AgentsMetforminPPAR gammaThiazolidinedionesTroglitazone

Identifiers

PMID17213274
PMCPMC2267936
OpenAlexW2101515997

What OpenQuestion holds

Texttitle and abstract
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.