Evidence map›Paper›PMID 20406164›Full record

ReviewEndocrine, metabolic & immune disorders drug targets2010

The genetics of obesity and the metabolic syndrome.

Keri L Monda, Kari E North, Steven C Hunt, D C Rao, Michael A Province, Aldi T Kraja

Abstract readReview
In one paragraph

Review in Endocrine, metabolic & immune disorders drug targets, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 4 pooled it
4.6field-weighted citation impact, top 4% 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

30 citing papers in PubMed, 4 syntheses or guidelines pooled it, 64 citations in OpenAlex.

  1. Can biomarkers be used to improve diagnosis and prediction of metabolic syndrome in childhood cancer survivors? A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021
    Pooled it
  2. Pooled it
  3. Pleiotropic genes for metabolic syndrome and inflammation.Molecular genetics and metabolism · 2014
    Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Precision medicine and metabolic syndrome.ARYA atherosclerosis · 2022
    Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. E3 Ligase FBXW2 Is a New Therapeutic Target in Obesity and Atherosclerosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020
    Article
  16. Article
  17. Article
  18. Article
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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

6 authors at 3 institutions in 1 country.

Keri L MondaDepartment of Epidemiology, University of North Carolina at Chapel Hill, USA. monda@unc.edu
Kari E North
Steven C Hunt
D C Rao
Michael A Province
Aldi T Kraja
Washington University in St. Louis · USUniversity of North Carolina Health Care · USUniversity of Utah · US

Funding

The Family Blood Pressure Program (HyperGEN Network)U01HL054471 · NHLBI · UNIVERSITY OF UTAH · PI HUNT, STEVEN C. · 2000 to 2007
$7.4M
The Family Blood Pressure Program (Program Data Center)U01HL054473 · NHLBI · WASHINGTON UNIVERSITY · PI RAO, DABEERU C · 2000 to 2008
$5.8M
FHS-SCAN Genome Wide Association Scan for Atherosclerosis Pathway GenesR01HL087700 · NHLBI · WASHINGTON UNIVERSITY · PI PROVINCE, MICHAEL A. · 2006 to 2008
$5.4M
GENOMIC SCAN FOR ATHEROSCLEROSIS PATHWAY GENES IN AFRICAN-AMERICANS FROM FHS-SCANR01HL088215 · NHLBI · WASHINGTON UNIVERSITY · PI PROVINCE, MICHAEL A. · 2008 to 2011
$3.0M
FHS--MOLECULAR GENETICS AND GENETIC EPIDEMIOLOGY-UTU01HL056566 · NHLBI · UNIVERSITY OF UTAH · PI HUNT, STEVEN C. · 1996 to 1999
–
NHLBI NIH HHS R01 HL087700NHLBI NIH HHS R01 HL088215NHLBI NIH HHS U01 HL054473NHLBI NIH HHS U01 HL54471NHLBI NIH HHS U01HL54473
6 · The paper itself

Abstract

In this review, we discuss the genetic architecture of obesity and the metabolic syndrome, highlighting recent advances in identifying genetic variants and loci responsible for a portion of the variation in components of the metabolic syndrome, namely, adiposity traits, serum HDL and triglycerides, blood pressure, and glycemic traits. We focus particularly on recent progress from large-scale genome-wide association studies (GWAS), by detailing their successes and how lessons learned can pave the way for future discovery. Results from recent GWAS coalesce with earlier work suggesting numerous interconnections between obesity and the metabolic syndrome, developed through several potentially pleiotropic effects. We detail recent work by way of a case study on the cadherin 13 gene and its relation with adiponectin in the HyperGEN and the Framingham Heart Studies, and its association with obesity and the metabolic syndrome. We provide also a gene network analysis of recent variants related to obesity and metabolic syndrome discovered through genome-wide association studies, and 4 gene networks based on searching the NCBI database.

Indexed as

DyslipidemiasGenetic Predisposition to DiseaseGlucoseHumansHyperglycemiaHypertensionInsulin ResistanceLipidsMetabolic SyndromeObesityGlucoseLipids

Identifiers

PMID20406164
PMCPMC5502543
OpenAlexW2109799230

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.