Evidence map›Paper›PMID 29460292›Full record

ArticleGenetic epidemiology2018

Genetic and environmental (physical fitness and sedentary activity) interaction effects on cardiometabolic risk factors in Mexican American children and adolescents.

Rector Arya, Vidya S Farook, Sharon P Fowler, Sobha Puppala, Geetha Chittoor, Roy G Resendez, Srinivas Mummidi, Jairam Vanamala, Laura Almasy, Joanne E Curran and 9 more

Abstract read
In one paragraph

Article in Genetic epidemiology, 2018. 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
0.9field-weighted citation impact, top 21% 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, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  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

19 authors at 8 institutions in 1 country.

Rector AryaDepartment of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Edinburg, Texas, United States of America.ORCID 0000-0001-7372-5043
Vidya S FarookDepartment of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Edinburg, Texas, United States of America.
Sharon P FowlerDepartment of Medicine, Division of Nephrology, University of Texas Health Science Center, San Antonio, Texas, United States of America.
Sobha PuppalaDepartment of Internal Medicine, Section on Molecular Medicine Wake Forest Baptist Health Medical University, Winston-Salem, NC, United States of America.
Geetha ChittoorBiomedical and Translational Informatics Institute, Geisinger, Weis Center for Research, Danville, PA, United States of America.
Roy G ResendezDepartment of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Edinburg, Texas, United States of America.
Srinivas MummidiDepartment of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Edinburg, Texas, United States of America.
Jairam VanamalaDepartment of Food Science, Penn State University, University Park, PA, United States of America.
Laura AlmasyDepartment of Biomedical and Health Informatics, University of Pennsylvania, Philadelphia, PA, United States of America.
Joanne E CurranDepartment of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Edinburg, Texas, United States of America.
Anthony G ComuzzieThe Obesity Society, 1110 Bonifant St. Silver Spring, Maryland, United States of America.
Donna M LehmanDepartment of Cellular & Structural Biology, University of Texas Health Science Center, San Antonio, Texas, United States of America.
Christopher P JenkinsonDepartment of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Edinburg, Texas, United States of America.
Jane L LynchDepartment of Pediatrics, University of Texas Health Science Center, San Antonio, Texas, United States of America.
Ralph A DeFronzoDepartment of Medicine, Division of Diabetes, University of Texas Health Science Center, San Antonio, Texas, United States of America.
John BlangeroDepartment of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Edinburg, Texas, United States of America.
Daniel E HalePenn State Hershey Pediatric Endocrinology, Penn State University, Hershey, PA, United States of America.
Ravindranath DuggiralaDepartment of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Edinburg, Texas, United States of America.
Vincent P DiegoDepartment of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Edinburg, Texas, United States of America.
The University of Texas Rio Grande Valley · USThe University of Texas Health Science Center at San Antonio · USAtrium Health Wake Forest Baptist · USGeisinger Medical Center · USObesity Society · USPenn State Milton S. Hershey Medical Center · USPennsylvania State University · USUniversity of Pennsylvania · US

Funding

NIDDM SUSCEPTIBILITY GENES IN MEXICAN-AMERICANSR01DK047482 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI LEHMAN, DONNA M · 1993 to 2010
$5.4M
The Metabolic Syndrome in Mexican American ChildrenR01HD049051 · NICHD · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI DUGGIRALA, RAVINDRANATH · 2005 to 2009
$2.4M
Type 2 Diabetes Gene Discovery Linked to 3p in HispanicsR01DK070746 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI LEHMAN, DONNA M · 2007 to 2009
$1.4M
NICHD NIH HHS R01 HD049051NIDDK NIH HHS R01 DK047482NIDDK NIH HHS R01 DK070746
6 · The paper itself

Abstract

Knowledge on genetic and environmental (G × E) interaction effects on cardiometabolic risk factors (CMRFs) in children is limited.  The purpose of this study was to examine the impact of G × E interaction effects on CMRFs in Mexican American (MA) children (n = 617, ages 6-17 years). The environments examined were sedentary activity (SA), assessed by recalls from "yesterday" (SAy) and "usually" (SAu) and physical fitness (PF) assessed by Harvard PF scores (HPFS). CMRF data included body mass index (BMI), waist circumference (WC), fat mass (FM), fasting insulin (FI), homeostasis model of assessment-insulin resistance (HOMA-IR), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), systolic (SBP) and diastolic (DBP) blood pressure, and number of metabolic syndrome components (MSC). We examined potential G × E interaction in the phenotypic expression of CMRFs using variance component models and likelihood-based statistical inference. Significant G × SA interactions were identified for six CMRFs: BMI, WC, FI, HOMA-IR, MSC, and HDL, and significant G × HPFS interactions were observed for four CMRFs: BMI, WC, FM, and HOMA-IR. However, after correcting for multiple hypothesis testing, only WC × SAy, FM × SAy, and FI × SAu interactions became marginally significant. After correcting for multiple testing, most of CMRFs exhibited significant G × E interactions (Reduced G × E model vs. Constrained model). These findings provide evidence that genetic factors interact with SA and PF to influence variation in CMRFs, and underscore the need for better understanding of these relationships to develop strategies and interventions to effectively reduce or prevent cardiometabolic risk in children.

Indexed as

Gene-Environment InteractionPhysical FitnessSedentary BehaviorAdolescentBlood GlucoseBody Mass IndexCardiovascular DiseasesChildFemaleGenetic VariationHumansLikelihood FunctionsMaleMetabolic SyndromeMexican AmericansModels, GeneticBlood Glucosechildhood obesityG × E interactiongenetic correlationgenetic variancelifestyle modificationphysical inactivitysedentary behavior

Identifiers

PMID29460292
PMCPMC5980678
OpenAlexW3113662676

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.