Evidence map›Paper›PMID 24683432›Full record

ArticleCurrent cardiovascular risk reports2014

How Gene Networks Can Uncover Novel CVD Players.

Laurence D Parnell, Patricia Casas-Agustench, Lakshmanan K Iyer, Jose M Ordovas

Abstract read
In one paragraph

Article in Current cardiovascular risk reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Laurence D ParnellNutritional Genomics Laboratory, JM-USDA Human Nutrition Research Center on Aging at Tufts University, 711 Washington Street, Boston, MA 02111.
Patricia Casas-AgustenchInstituto Madrileño de Estudios Avanzados (IMDEA) Alimentación, CEI UAM+CSIC, C/Faraday, 7, 1 planta D1.11, Ciudad Universitaria de Cantoblanco, Ctra. de Colmenar Km.15, Madrid, 28049, Spain.
Lakshmanan K IyerTufts Center for Neuroscience Research, Tufts University School of Medicine, 136 Harrison Ave, Boston, MA 02111, Molecular Cardiology Research Institute, Tufts Medical Center, 15 Kneeland Street, Boston, MA 02111.
Jose M OrdovasNutritional Genomics Laboratory, JM-USDA Human Nutrition Research Center on Aging at Tufts University, 711 Washington Street, Boston, MA 02111 ; Instituto Madrileño de Estudios Avanzados (IMDEA) Alimentación, CEI UAM+CSIC, C/Faraday, 7, 1 planta D1.11, Ciudad Universitaria de Cantoblanco, Ctra. de Colmenar Km.15, Madrid, 28049, Spain.

Funding

TUSM/T-NEMC CENTER FOR NEUROSCIENCE RESEARCH - Imaging CoreP30NS047243 · NINDS · TUFTS UNIVERSITY BOSTON · PI JACKSON, F ROB · 2003 to 2017
$10.0M
GENE/DIET EFFECTS ON PLASMA LIPOPROTEIN LEVELSR01HL054776 · NHLBI · TUFTS UNIVERSITY BOSTON · PI ORDOVAS, JOSE M. · 1996 to 2010
$2.6M
PAT PROTEINS: GENE-DIET INTERACTIONS OBESITY RISK AND HEALTHR01DK075030 · NIDDK · TUFTS UNIVERSITY BOSTON · PI ORDOVAS, JOSE M. · 2007 to 2009
$989k
Gene expression and system-based analysis to predict gene-environment interactionR21HL114238 · NHLBI · U.S. AGRICULTURAL RESEARCH SERVICE · PI PARNELL, LAURENCE · 2012 to 2014
$374k
Fibrillin 2 and Developmental Genetics of Hip Dysplasia in a Canine ModelR21AR055228 · NIAMS · CORNELL UNIVERSITY · PI TODHUNTER, RORY JAMES · 2008 to 2009
$373k
NHLBI NIH HHS R01 HL054776NHLBI NIH HHS R21 HL114238NIAMS NIH HHS R21 AR055228NIDDK NIH HHS R01 DK075030NINDS NIH HHS P30 NS047243
6 · The paper itself

Abstract

Cardiovascular diseases (CVD) are complex, involving numerous biological entities from genes and small molecules to organ function. Placing these entities in networks where the functional relationships among the constituents are drawn can aid in our understanding of disease onset, progression and prevention. While networks, or interactomes, are often classified by a general term, say lipids or inflammation, it is a more encompassing class of network that is more informative in showing connections among the active entities and allowing better hypotheses of novel CVD players to be formulated. A range of networks will be presented whereby the potential to bring new objects into the CVD milieu will be exemplified.

Indexed as

cardiovascular diseasegeneticsinteractionsnetworkrisk

Identifiers

PMID24683432
PMCPMC3966201

What OpenQuestion holds

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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.