Evidence map›Paper›PMID 25722444›Full record

ReviewCirculation research2015

Are there genetic paths common to obesity, cardiovascular disease outcomes, and cardiovascular risk factors?

Tuomo Rankinen, Mark A Sarzynski, Sujoy Ghosh, Claude Bouchard

Abstract readReview
In one paragraph

Review in Circulation research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
15.1field-weighted citation impact, top 1% 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

65 citing papers in PubMed, 1 synthesis or guideline pooled it, 131 citations in OpenAlex.

  1. Pooled it
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  13. Molecular Study of Sudden Cardiac Death.International journal of molecular sciences · 2024
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  20. Long non-coding RNAs: a valuable biomarker for metabolic syndrome.Molecular genetics and genomics : MGG · 2022
    Review

5 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 2 countries.

Tuomo RankinenFrom the Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA (T.R., M.A.S., S.G., C.B.); and Cardiovascular and Metabolic Disorders Program (S.G.) and Center for Computational Biology (S.G.), Duke-NUS Graduate Medical School, Singapore, Singapore.
Mark A SarzynskiFrom the Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA (T.R., M.A.S., S.G., C.B.); and Cardiovascular and Metabolic Disorders Program (S.G.) and Center for Computational Biology (S.G.), Duke-NUS Graduate Medical School, Singapore, Singapore.
Sujoy GhoshFrom the Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA (T.R., M.A.S., S.G., C.B.); and Cardiovascular and Metabolic Disorders Program (S.G.) and Center for Computational Biology (S.G.), Duke-NUS Graduate Medical School, Singapore, Singapore.
Claude BouchardFrom the Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA (T.R., M.A.S., S.G., C.B.); and Cardiovascular and Metabolic Disorders Program (S.G.) and Center for Computational Biology (S.G.), Duke-NUS Graduate Medical School, Singapore, Singapore. claude.bouchard@pbrc.edu.
Pennington Biomedical Research Center · US

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Leigh Lamonica · 2012 to 2026
$69.1M
ROLES OF INFLAMMATION AND ANDROGEN METABOLISM IN PROSTATE CANCER DISPARITYP20MD000175 · NIMHD · NORTH CAROLINA CENTRAL UNIVERSITY · PI KIMBRO, KEVIN SEAN · 2002 to 2016
$15.6M
THE ROLE OF PROTEIN MALNUTRITION ON CIRCADIAN PHYSIOLOGY OF C57BL/6J MOUSE DAMSP20RR021945 · NCRR · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI GETTYS, THOMAS W · 2006 to 2011
$9.5M
Mentoring Obesity and Diabetes Research in LouisianaP20GM103528 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI GETTYS, THOMAS W · 2012 to 2015
$8.8M
HERITAGE STUDY: GENETICS, EXERCISE &RISK FACTORSR01HL045670 · NHLBI · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI RANKINEN, TUOMO · 1992 to 2010
$6.8M
Transgenics CoreP30GM118430 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI GETTYS, THOMAS W · 2016 to 2020
$5.8M
SECONDARY ANALYSIS OF A LARGE SCALE GENETIC STUDY IN OBESITY AND RELATED OUTCOMESR21DK088319 · NIDDK · NORTH CAROLINA CENTRAL UNIVERSITY · PI GHOSH, SUJOY · 2010 to 2011
$316k
American Heart Association-American Stroke Association 10SDG4230068NCRR NIH HHS P20 RR021945NHLBI NIH HHS HL045670NHLBI NIH HHS R01 HL045670NIDDK NIH HHS 1R21DK088319-01NIDDK NIH HHS R21 DK088319NIGMS NIH HHS 1 U54 GM104940NIGMS NIH HHS P20 GM103528NIGMS NIH HHS P30 GM118430NIGMS NIH HHS U54 GM104940NIMHD NIH HHS P20 MD000175NIMHD NIH HHS P20MD000175-09
6 · The paper itself

Abstract

Clustering of obesity, coronary artery disease, and cardiovascular disease risk factors is observed in epidemiological studies and clinical settings. Twin and family studies have provided some supporting evidence for the clustering hypothesis. Loci nearest a lead single nucleotide polymorphism (SNP) showing genome-wide significant associations with coronary artery disease, body mass index, C-reactive protein, blood pressure, lipids, and type 2 diabetes mellitus were selected for pathway and network analyses. Eighty-seven autosomal regions (181 SNPs), mapping to 56 genes, were found to be pleiotropic. Most pleiotropic regions contained genes associated with coronary artery disease and plasma lipids, whereas some exhibited coaggregation between obesity and cardiovascular disease risk factors. We observed enrichment for liver X receptor (LXR)/retinoid X receptor (RXR) and farnesoid X receptor/RXR nuclear receptor signaling among pleiotropic genes and for signatures of coronary artery disease and hepatic steatosis. In the search for functionally interacting networks, we found that 43 pleiotropic genes were interacting in a network with an additional 24 linker genes. ENCODE (Encyclopedia of DNA Elements) data were queried for distribution of pleiotropic SNPs among regulatory elements and coding sequence variations. Of the 181 SNPs, 136 were annotated to ≥ 1 regulatory feature. An enrichment analysis found over-representation of enhancers and DNAse hypersensitive regions when compared against all SNPs of the 1000 Genomes pilot project. In summary, there are genomic regions exerting pleiotropic effects on cardiovascular disease risk factors, although only a few included obesity. Further studies are needed to resolve the clustering in terms of DNA variants, genes, pathways, and actionable targets.

Indexed as

Gene Regulatory NetworksCardiovascular DiseasesComorbidityCoronary DiseaseDeveloped CountriesDiseases in TwinsDyslipidemiasEnhancer Elements, GeneticEpistasis, GeneticFemaleGenetic PleiotropyGenome-Wide Association StudyHumansMaleMetabolic SyndromeMultifactorial Inheritancecluster analysisgene networksgenetic pleiotropism

Identifiers

PMID25722444
PMCPMC4416656
OpenAlexW2101752541

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.