Evidence map›Paper›PMID 24964944›Full record

ArticleBMC systems biology2014

Analyzing networks of phenotypes in complex diseases: methodology and applications in COPD.

Jen-hwa Chu, Craig P Hersh, Peter J Castaldi, Michael H Cho, Benjamin A Raby, Nan Laird, Russell Bowler, Stephen Rennard, Joseph Loscalzo, John Quackenbush and 1 more

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Molecular networks in Network Medicine: Development and applications.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  8. Article
  9. Article
  10. Phenotypes in Behçet's syndrome.Internal and emergency medicine · 2019
    Review
  11. Precision Medicine.Circulation research · 2019
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. COPD: time to improve its taxonomy?ERJ open research · 2018
    Article
  18. Article
  19. Article
  20. Review
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

11 authors at 5 institutions in 1 country.

Jen-hwa ChuChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA. stjhc@channing.harvard.edu.
Craig P Hersh
Peter J Castaldi
Michael H Cho
Benjamin A Raby
Nan Laird
Russell Bowler
Stephen Rennard
Joseph Loscalzo
John Quackenbush
Edwin K Silverman
Brigham and Women's Hospital · USDana-Farber Cancer Institute · USHarvard University · USUniversity of Colorado Denver · USUniversity of Nebraska Medical Center · US

Funding

Metabolomic signatures of empysema and COPD progression in the COPDGene cohortR01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2012 to 2016
$31.1M
(2 of 2) Genetic Epidemiology of COPDR01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2012 to 2016
$18.9M
Systems Biology, Bioinformatics, and BiostatisticsP01HL105339 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2011 to 2015
$12.2M
Genetics and Gene Expression Profiling in AsthmaR01HL086601 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI RABY, BENJAMIN ALEXANDER · 2007 to 2015
$6.8M
Fine Mapping of COPD Susceptibility GenesR01HL075478 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2004 to 2012
$6.4M
GPx-3 and Peroxide Flux in the Endothelial CellR37HL061795 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LOSCALZO, JOSEPH · 2007 to 2016
$4.3M
Using Networks to Assign Gene Function in Lung DiseaseR01HL111759 · NHLBI · DANA-FARBER CANCER INST · PI QUACKENBUSH, JOHN, SILVERMAN, EDWIN K · 2012 to 2015
$3.4M
The Phathophenotype Landscape of Complex DiseaseU01HL108630 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LOSCALZO, JOSEPH · 2011 to 2014
$2.7M
Targeted Delivery of Progenitor Cells to the LungP50HL107192 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CHOI, AUGUSTINE M, LOSCALZO, JOSEPH · 2011 to 2012
$1.0M
Causal Inference of Disease-Relevant Regulatory NetworksK99HL114651 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CHU, JEN-HWA · 2013 to 2014
$274k
NHLBI NIH HHS K99HL114651NHLBI NIH HHS P01HL105339NHLBI NIH HHS P50HL107192NHLBI NIH HHS R01HL075478NHLBI NIH HHS R01HL089856NHLBI NIH HHS R01HL089897NHLBI NIH HHS R01HL111759NHLBI NIH HHS R37HL061795NHLBI NIH HHS U01HL108630
6 · The paper itself

Abstract

backgroundThe investigation of complex disease heterogeneity has been challenging. Here, we introduce a network-based approach, using partial correlations, that analyzes the relationships among multiple disease-related phenotypes.

resultsWe applied this method to two large, well-characterized studies of chronic obstructive pulmonary disease (COPD). We also examined the associations between these COPD phenotypic networks and other factors, including case-control status, disease severity, and genetic variants. Using these phenotypic networks, we have detected novel relationships between phenotypes that would not have been observed using traditional epidemiological approaches.

conclusionPhenotypic network analysis of complex diseases could provide novel insights into disease susceptibility, disease severity, and genetic mechanisms.

Indexed as

PhenotypeCase-Control StudiesComputational BiologyHumansPolymorphism, Single NucleotidePulmonary Disease, Chronic Obstructive

Identifiers

PMID24964944
PMCPMC4105829
OpenAlexW2165406288

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.