Evidence map›Paper›PMID 23528445›Full record

ArticleAdvanced drug delivery reviews2013

Stochastic modeling of systems mapping in pharmacogenomics.

Zuoheng Wang, Jiangtao Luo, Guifang Fu, Zhong Wang, Rongling Wu

Abstract read
In one paragraph

Article in Advanced drug delivery reviews, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Mapping complex traits as a dynamic system.Physics of life reviews · 2015
    Review
  4. 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

5 authors.

Zuoheng WangDepartment of Biostatistics, Yale University, New Haven, CT 06520, USA. zuoheng.wang@yale.edu
Jiangtao Luo
Guifang Fu
Zhong Wang
Rongling Wu

Funding

Penn State Clinical and Translational Science InstituteUL1TR000127 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI SINOWAY, LAWRENCE I · 2012 to 2015
$17.1M
Yale University Clinical and Translational Science Award ProgramKL2RR024138 · NCRR · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2006 to 2011
$4.8M
PENN STATE CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR033184 · NCRR · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI SINOWAY, LAWRENCE I · 2011 to 2011
$4.5M
YALE BIOMEDICAL SUPERCOMPUTER: NEUROSCIENCES10RR019895 · NCRR · YALE UNIVERSITY · PI WILLIAMS, KENNETH ROBERT · 2004 to 2004
$1.6M
NCATS NIH HHS UL1 TR000127NCRR NIH HHS KL2 RR024138NCRR NIH HHS RR19895NCRR NIH HHS S10 RR019895NCRR NIH HHS UL1RR0330184NCRR NIH HHS UL1 RR033184
6 · The paper itself

Abstract

As a basis of personalized medicine, pharmacogenetics and pharmacogenomics that aim to study the genetic architecture of drug response critically rely on dynamic modeling of how a drug is absorbed and transported to target tissues where the drug interacts with body molecules to produce drug effects. Systems mapping provides a general framework for integrating systems pharmacology and pharmacogenomics through robust ordinary differential equations. In this chapter, we extend systems mapping to more complex and more heterogeneous structure of drug response by implementing stochastic differential equations (SDE). We argue that SDE-implemented systems mapping provides a computational tool for pharmacogenetic or pharmacogenomic research towards personalized medicine.

Indexed as

Models, BiologicalPharmacogeneticsPrecision MedicineComputer SimulationDrug TherapyGenetic VariationHumansPharmacokineticsStochastic ProcessesSystems Biology

Identifiers

PMID23528445
PMCPMC4249941

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Registered trials

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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.