Evidence map›Paper›PMID 22935211›Full record

ReviewDiscovery medicine2012

Network medicine approaches to the genetics of complex diseases.

Edwin K Silverman, Joseph Loscalzo

Abstract readReview
In one paragraph

Review in Discovery medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Network medicine in Cardiovascular Research.Cardiovascular research · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. Pharmacogenomics of chronic obstructive pulmonary disease.Expert review of respiratory medicine · 2019
    Review
  19. Article
  20. Applications of molecular networks in biomedicine.Biology methods & protocols · 2019
    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

2 authors at 1 institution in 1 country.

Edwin K SilvermanChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, Massachusetts 02115, USA.
Joseph Loscalzo
Brigham and Women's Hospital · US

Funding

Tissue AnalysesP01HL048743 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI GLADYSHEV, VADIM N. · 1992 to 2014
$26.3M
Single Molecule Analysis of Sickle Erythrocyte Adhesion in Sickle Cell DiseaseU54HL070819 · NHLBI · BOSTON MEDICAL CENTER · PI LEOPOLD, JANE A · 2003 to 2011
$12.5M
Systems Biology, Bioinformatics, and BiostatisticsP01HL105339 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2011 to 2015
$12.2M
Statistical GeneticsP01HL083069 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI WEISS, SCOTT T · 2007 to 2011
$12.2M
Fine Mapping of COPD Susceptibility GenesR01HL075478 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2004 to 2012
$6.4M
Identifying Genetic Determinants of Severe, Early-Onset COPDR01HL113264 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CHO, MICHAEL H., SILVERMAN, EDWIN K · 2012 to 2016
$6.0M
GPx-3 and Peroxide Flux in the Endothelial CellR37HL061795 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LOSCALZO, JOSEPH · 2007 to 2016
$4.3M
The Phathophenotype Landscape of Complex DiseaseU01HL108630 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LOSCALZO, JOSEPH · 2011 to 2014
$2.7M
PLATELET DERIVED REACTIVE OXYGEN SPECIES AND PLAQUER01HL061795 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LOSCALZO, JOSEPH · 1998 to 2006
$1.6M
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
NHLBI NIH HHS HL048743NHLBI NIH HHS HL061795NHLBI NIH HHS HL070819NHLBI NIH HHS HL075478NHLBI NIH HHS HL083069NHLBI NIH HHS HL105339NHLBI NIH HHS HL107192NHLBI NIH HHS HL108630NHLBI NIH HHS HL113264NHLBI NIH HHS P01 HL048743NHLBI NIH HHS P01 HL083069NHLBI NIH HHS P01 HL105339NHLBI NIH HHS P50 HL107192NHLBI NIH HHS R01 HL061795NHLBI NIH HHS R01 HL075478NHLBI NIH HHS R01 HL113264NHLBI NIH HHS R37 HL061795NHLBI NIH HHS U01 HL108630NHLBI NIH HHS U54 HL070819
6 · The paper itself

Abstract

Complex diseases are caused by perturbations of biological networks. Genetic analysis approaches focused on individual genetic determinants are unlikely to characterize the network architecture of complex diseases comprehensively. Network medicine, which applies systems biology and network science to complex molecular networks underlying human disease, focuses on identifying the interacting genes and proteins which lead to disease pathogenesis. The long biological path between a genetic risk variant and development of a complex disease involves a range of biochemical intermediates, including coding and non-coding RNA, proteins, and metabolites. Transcriptomics, proteomics, metabolomics, and other -omics technologies have the potential to provide insights into complex disease pathogenesis, especially if they are applied within a network biology framework. Most previous efforts to relate genetics to -omics data have focused on a single -omics platform; the next generation of complex disease genetics studies will require integration of multiple types of -omics data sets in a network context. Network medicine may also provide insight into complex disease heterogeneity, serve as the basis for new disease classifications that reflect underlying disease pathogenesis, and guide rational therapeutic and preventive strategies.

Indexed as

Genetic TechniquesCommunity NetworksDiseaseGenetic Predisposition to DiseaseGenomicsHumansMedicineMetabolomicsModels, BiologicalProteomicsSystems Biology

Identifiers

PMID22935211
PMCPMC3545396
OpenAlexW111827936

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.