Evidence map›Paper›PMID 29395842›Full record

ArticleJournal of diabetes and its complications2018

Heterogeneity in effects of genetically determined adiposity on insulin resistance and type 2 diabetes: The atherosclerosis risk in communities study.

Tingting Liu, Changwei Li, Luqi Shen, Ye Shen, Weibo Mao, Shengxu Li

Open access · greenAbstract read
In one paragraph

Article in Journal of diabetes and its complications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Tingting LiuDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States; Eleanor Mann School of Nursing, University of Arkansas College of Education and Health Professions, Fayetteville, AR, United States.
Changwei LiDepartment of Epidemiology & Biostatistics, University of Georgia College of Public Health, Athens, GA, United States. Electronic address: changwei.li@uga.edu.
Luqi ShenDepartment of Epidemiology & Biostatistics, University of Georgia College of Public Health, Athens, GA, United States.
Ye ShenDepartment of Epidemiology & Biostatistics, University of Georgia College of Public Health, Athens, GA, United States.
Weibo MaoDepartment of Epidemiology & Biostatistics, University of Georgia College of Public Health, Athens, GA, United States.
Shengxu LiDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States. Electronic address: sli10@tulane.edu.
Georgia College & State University · USTulane University · US

Funding

Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI JING CHEN · 2016 to 2026
$25.3M
Tulane Clinical Center for Chronic Renal Insufficiency Cohort StudyU01DK060963 · NIDDK · TULANE UNIVERSITY OF LOUISIANA · PI CHEN, JING, HAMM, L LEE · 2001 to 2025
$13.9M
NIDDK NIH HHS U01 DK060963NIGMS NIH HHS P20 GM109036
6 · The paper itself

Abstract

backgroundA recent genome-wide association study has identified 12 genetic variants robustly associated with body fat percentage (BF%) with diverse cardiometabolic consequences. We developed three genetic risk scores (GRSs) according to the associations of the 12 individual variants with type 2 diabetes (T2D) and test the GRSs' associations with insulin resistance and T2D in the Atherosclerosis Risk in Communities Study.

methodsIn 6895 European-American participants, we calculated GRS-I as the number of BF%-increasing alleles from variants associated with increased risk of T2D, GRS-D from variants associated with decreased risk of T2D, and GRS-ALL from all 12 variants. Linear and logistic regression models were used to evaluate associations of the GRSs with insulin resistance and risk of T2D, respectively, adjusted for age, sex, smoking, and drinking, and additionally for body mass index (BMI).

resultsGRS-D was significantly associated with decreased levels of fasting insulin (P = 0.014) and homeostasis assessment of insulin resistance (P = 0.023). While GRS-I was not associated with insulin resistance measures, it was with T2D (P = 0.002). Further adjustment for BMI did not substantially change the above associations. GRS-ALL was inversely associated with insulin resistance after controlling for covariates including BMI; GRS-ALL was not associated with T2D.

conclusionGenetically determined BF% has differential effects on cardiometabolic risk, which may partly explain the heterogeneity in obesity-induced cardiometabolic risk and have implications for developing new strategies mitigating obesity-induced cardiometabolic consequences.

Indexed as

AdiposityAtherosclerosisBody Mass IndexCohort StudiesDiabetes Mellitus, Type 2FemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansInsulin ResistanceMaleMiddle AgedWhite PeopleBody fatGenetic association studiesInsulin resistanceMetabolically Healthy ObesityType 2 diabetes

Identifiers

PMID29395842
PMCPMC5820121
OpenAlexW2781503589

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.