Evidence map›Paper›PMID 26524476›Full record

ArticleObesity (Silver Spring, Md.)2015

A new look at the genetic and environmental coherence of metabolic syndrome components.

Matthew S Panizzon, Richard L Hauger, Megan Sailors, Michael J Lyons, Kristen C Jacobson, Ruth Murray McKenzie, Brinda Rana, Terrie Vasilopoulos, Eero Vuoksimaa, Hong Xian and 2 more

Abstract readTwin Study
In one paragraph

Article in Obesity (Silver Spring, Md.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
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  8. Review
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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

12 authors.

Matthew S PanizzonDepartment of Psychiatry, University of California, San Diego, La Jolla, California, USA.
Richard L HaugerDepartment of Psychiatry, University of California, San Diego, La Jolla, California, USA.
Megan SailorsDepartment of Psychiatry, University of California, San Diego, La Jolla, California, USA.
Michael J LyonsDepartment of Psychological and Brain Sciences, Boston University, Boston, Massachusetts, USA.
Kristen C JacobsonDepartment of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois, USA.
Ruth Murray McKenzieDepartment of Psychological and Brain Sciences, Boston University, Boston, Massachusetts, USA.
Brinda RanaDepartment of Psychiatry, University of California, San Diego, La Jolla, California, USA.
Terrie VasilopoulosDepartment of Anesthesiology and Orthopaedics and Rehabilitation, University of Florida, Gainesville, Florida, USA.
Eero VuoksimaaDepartment of Psychiatry, University of California, San Diego, La Jolla, California, USA.
Hong XianDepartment of Biostatistics, St. Louis University, St. Louis, Missouri, USA.
William S KremenDepartment of Psychiatry, University of California, San Diego, La Jolla, California, USA.
Carol E FranzDepartment of Psychiatry, University of California, San Diego, La Jolla, California, USA.

Funding

The VETSA Longitudinal Twin Study of Cognition and Aging (VETSA 4)R01AG050595 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEREMY A, FRANZ, CAROL ELAINE · 2015 to 2024
$28.0M
The VETSA Longitudinal MRI Twin Study of AgingR01AG022381 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2003 to 2019
$22.3M
The VETSA Longitudinal Twin Study of Cognition and AgingR01AG018384 · NIA · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI LYONS, MICHAEL J. · 2002 to 2012
$9.8M
The VETSA longitudinal twin study of cognition and agingR01AG018386 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2002 to 2012
$9.7M
The VETSA Longitudinal Twin Study of Cortisol and AgingR01AG022982 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2004 to 2007
$2.6M
Testosterone-Androgen Receptor Genetics: Role in Cognitive and Biological AgingK08AG047903 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PANIZZON, MATTHEW S · 2014 to 2017
$452k
Archiving the Vietnam Era Twin Studies of Aging (VETSA): New Uses for Old DataR03AG046413 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FRANZ, CAROL ELAINE · 2013 to 2014
$247k
NIA NIH HHS K08 AG047903NIA NIH HHS R01 AG018384NIA NIH HHS R01 AG018386NIA NIH HHS R01 AG022381NIA NIH HHS R01 AG022982NIA NIH HHS R01 AG050595NIA NIH HHS R03 AG 046413NIA NIH HHS R03 AG046413
6 · The paper itself

Abstract

objectiveMetabolic syndrome, a clustering of risk factors including insulin resistance, dyslipidemia, central obesity, and hypertension, increases risk for cardiovascular disease and cognitive decline. The etiology of the risk factors' cohesion remains unclear. How genetic and environmental influences explained co-occurrence of metabolic syndrome components was examined.

methodsContinuous measures of body mass index (BMI), waist circumference, blood pressure (BP), fasting insulin and glucose, high-density lipoprotein cholesterol (HDL), and triglycerides from 1,193 middle-aged twin men participating in the Vietnam Era Twin Study of Aging at average age 62 (range 56-67) were analyzed using multivariate biometrical modeling.

resultsFour heritable factors were found: adiposity (BMI, waist circumference), insulin resistance (glucose, insulin), lipids (HDL, triglycerides), and BP (systolic, diastolic). Heritabilities were 0.42-0.68. In the best-fitting model, insulin resistance, lipids, and adiposity comprised a higher-order latent genetic factor. Adiposity and BP shared genetic influences independent of the latent genetic factor. All factors aggregated on a latent unique environmental factor.

conclusionsMetabolic syndrome components form the equivalent of two genetic factors. BP was genetically unrelated to insulin resistance and lipids. Adiposity was the only characteristic genetically and environmentally related to all other factors. These results inform strategies for gene discovery and prediction of health outcomes.

Indexed as

EnvironmentAdiposityAgedBiometryBlood GlucoseBlood PressureBody Mass IndexCardiovascular DiseasesCholesterol, HDLFastingHumansInsulinInsulin ResistanceLipidsMaleMetabolic SyndromeBlood GlucoseCholesterol, HDLInsulinLipidsTriglycerides

Identifiers

PMID26524476
PMCPMC4701648

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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.