Evidence map›Paper›PMID 31632690›Full record

ArticleNPJ systems biology and applications2019

An omnidirectional visualization model of personalized gene regulatory networks.

Chixiang Chen, Libo Jiang, Guifang Fu, Ming Wang, Yaqun Wang, Biyi Shen, Zhenqiu Liu, Zuoheng Wang, Wei Hou, Scott A Berceli and 1 more

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
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  4. A Statistical Mechanics Model to Decode Tissue Crosstalk During Graft Formation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  8. Article
  9. The metabolomic physics of complex diseases.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. 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

11 authors.

Chixiang Chen1Center for Statistical Genetics, Departments of Public Health Sciences and Statistics, Pennsylvania State University, Hershey, PA 17033 USA.
Libo Jiang3Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083 China.
Guifang Fu4Department of Mathematical Sciences, SUNY Binghamton University, Binghamton, NY 13902 USA.
Ming Wang1Center for Statistical Genetics, Departments of Public Health Sciences and Statistics, Pennsylvania State University, Hershey, PA 17033 USA.
Yaqun Wang5Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ 08854 USA.
Biyi Shen2Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA 17033 USA.
Zhenqiu Liu2Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA 17033 USA.
Zuoheng Wang6Department of Biostatistics, Yale School of Public Health, New Heaven, CT 06520 USA.ORCID 0000-0002-7251-3687
Wei Hou7Department of Family, Population & Preventive Medicine, Stony Brook School of Medicine, Stony Brook, NY 11794 USA.
Scott A Berceli8Malcom Randall VA Medical Center, Gainesville, FL 32610 USA.ORCID 0000-0003-2257-0111
Rongling Wu1Center for Statistical Genetics, Departments of Public Health Sciences and Statistics, Pennsylvania State University, Hershey, PA 17033 USA.ORCID 0000-0002-2334-6421

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
Penn State Institutional Career Development CoreKL2TR002015 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI VAN SCOY, LAUREN JODI · 2016 to 2025
$7.8M
Constitutive and Agent-Based Multiscale Models to Improve Vein Graft SurvivalU01HL119178 · NHLBI · UNIVERSITY OF FLORIDA · PI BERCELI, SCOTT A, GARBEY, MARC · 2013 to 2018
$2.7M
Genetic Neuro-Endocrine Role in Depression and Type 2 DiabetesR01HD086911 · NICHD · THOMAS JEFFERSON UNIVERSITY · PI GRAGNOLI, CLAUDIA · 2016 to 2020
$1.5M
Novel Methods for Longitudinal Study of Gene-Environment Interplay in AlcoholismK01AA023321 · NIAAA · YALE UNIVERSITY · PI WANG, ZUOHENG · 2015 to 2019
$863k
NCATS NIH HHS KL2 TR002015NCATS NIH HHS UL1 TR002014NHLBI NIH HHS U01 HL119178NIAAA NIH HHS K01 AA023321NICHD NIH HHS R01 HD086911
6 · The paper itself

Abstract

Gene regulatory networks (GRNs) have been widely used as a fundamental tool to reveal the genomic mechanisms that underlie the individual's response to environmental and developmental cues. Standard approaches infer GRNs as holistic graphs of gene co-expression, but such graphs cannot quantify how gene-gene interactions vary among individuals and how they alter structurally across spatiotemporal gradients. Here, we develop a general framework for inferring informative, dynamic, omnidirectional, and personalized networks (idopNetworks) from routine transcriptional experiments. This framework is constructed by a system of quasi-dynamic ordinary differential equations (qdODEs) derived from the combination of ecological and evolutionary theories. We reconstruct idopNetworks using genomic data from a surgical experiment and illustrate how network structure is associated with surgical response to infrainguinal vein bypass grafting and the outcome of grafting. idopNetworks may shed light on genotype-phenotype relationships and provide valuable information for personalized medicine.

Indexed as

AlgorithmsComputational BiologyComputer SimulationGene Expression RegulationGene Regulatory NetworksGenomicsHumansModels, TheoreticalPrecision MedicineProgramming languageStatistics

Identifiers

PMID31632690
PMCPMC6789114

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.