Evidence map›Paper›PMID 27377425›Full record

ArticleGenetic epidemiology2016

Obesity and associated lifestyles modify the effect of glucose metabolism-related genetic variants on impaired glucose homeostasis among postmenopausal women.

Su Yon Jung, Eric M Sobel, Jeanette C Papp, Carolyn J Crandall, Alan N Fu, Zuo-Feng Zhang

Open access · greenAbstract read
In one paragraph

Article in Genetic epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Hesperidin: A Therapeutic Agent For Obesity.Drug design, development and therapy · 2019
    Review
  7. Article
  8. 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

6 authors at 2 institutions in 1 country.

Su Yon JungTranslational Sciences Section, Jonsson Comprehensive Cancer Center, School of Nursing, University of California, Los Angeles, Los Angeles, California, United States of America.
Eric M SobelDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America.
Jeanette C PappDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America.
Carolyn J CrandallDivision of General Internal Medicine, Department of Internal Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America.
Alan N FuDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, California, United States of America.
Zuo-Feng ZhangDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, California, United States of America.
University of California, Los Angeles · USLos Angeles County Department of Public Health · US

Funding

UCLA CANCER EPIDEMIOLOGY TRAINING PROGRAMT32CA009142 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ZHANG, ZUO-FENG · 1986 to 2024
$6.3M
NCI NIH HHS T32 CA009142
6 · The paper itself

Abstract

purposeImpaired glucose metabolism-related genetic variants likely interact with obesity-modifiable factors in response to glucose intolerance, yet their interconnected pathways have not been fully characterized.

methodsWith data from 1,027 postmenopausal participants of the Genomics and Randomized Trials Network study and 15 single-nucleotide polymorphisms (SNPs) associated with glucose homeostasis, we assessed whether obesity, physical activity, and high dietary fat intake interact with the SNP-glucose variations. We used regression analysis plus stratification and graphic approaches.

resultsAcross carriers of the 15 SNPs, fasting levels of glucose, insulin, and homeostatic model assessment-insulin resistance (HOMA-IR) were higher in obese, inactive, and high fat-diet women than in their respective counterparts. Carriers within subgroups differently demonstrated the direction and/or magnitude of the variants' effect on glucose-relevant traits. Variants in GCKR, GCK, DGKB/TMEM195 (P for interactions = 0.02, 0.02, and 0.01), especially, showed interactions with obesity: obese, inactive, and high fat-diet women had greater increases in fasting glucose, insulin, and HOMA-IR levels. Obese carriers at TCF7L2 variant had greater increases in fasting glucose levels than nonobese carriers (P for interaction = 0.04), whereas active women had greater decreases in insulin and HOMA-IR levels than inactive women (P for interaction = 0.02 in both levels).

conclusionsOur data support the important role of obesity in modifying glucose homeostasis in response to glucose metabolism-relevant variants. These findings may inform research on the role of glucose homeostasis in the etiology of chronic disease and the development of intervention strategies to reduce risk in postmenopausal women.

Indexed as

Genetic VariationAdaptor Proteins, Signal TransducingAgedBlood GlucoseBody Mass IndexDiacylglycerol KinaseDiet, High-FatExerciseFemaleGenotypeGerminal Center KinasesGlucoseHumansInsulinInsulin ResistanceLife StyleAdaptor Proteins, Signal TransducingBlood GlucoseDGKD protein, humanDiacylglycerol KinaseGCKR protein, humanGerminal Center KinasesGlucoseInsulinProtein Serine-Threonine KinasesTCF7L2 protein, humanTranscription Factor 7-Like 2 Proteinglucose metabolism-related genetic varianthigh-fat dietobesityphysical activitypostmenopausal women

Identifiers

PMID27377425
PMCPMC5560051
OpenAlexW2463242201

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.