Evidence map›Paper›PMID 18355765›Full record

ReviewTranslational research : the journal of laboratory and clinical medicine2008

Integrating genomic and clinical medicine: searching for susceptibility genes in complex lung diseases.

Ankit A Desai, Pirro Hysi, Joe G N Garcia

Open access · greenAbstract readReview
In one paragraph

Review in Translational research : the journal of laboratory and clinical medicine, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Cyclic stretch magnitude and duration affect rat alveolar epithelial gene expression.Cellular physiology and biochemistry : international journal of experimental cellular physiology, biochemistry, and pharmacology · 2010
    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

3 authors at 1 institution in 1 country.

Ankit A DesaiSection of Pulmonary and Critical Care Medicine, Department of Medicine, Pritzker School of Medicine, University of Chicago, 5841 S. Maryland Avenue, Chicago, IL 60637, USA.
Pirro Hysi
Joe G N Garcia
University of Chicago · US

Funding

Genomic Studies in a Rodent Model of Pulmonary Hypertension: A Consomics ApproachF32HL090359 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI DESAI, ANKIT A · 2007 to 2010
$113k
NHLBI NIH HHS F32 HL090359
6 · The paper itself

Abstract

The integration of molecular, genomic, and clinical medicine in the post-genome era provides the promise of novel information on genetic variation and pathophysiologic cascades. The current challenge is to translate these discoveries rapidly into viable biomarkers that identify susceptible populations and into the development of precisely targeted therapies. In this article, we describe the application of comparative genomics, microarray platforms, genetic epidemiology, statistical genetics, and bioinformatic approaches within examples of complex pulmonary pathobiology. Our search for candidate genes, which are gene variations that drive susceptibility to and severity of enigmatic acute and chronic lung disorders, provides a logical framework to understand better the evolution of genomic medicine. The dissection of the genetic basis of complex diseases and the development of highly individualized therapies remain lofty but achievable goals.

Indexed as

Clinical MedicineGenetic Predisposition to DiseaseGenomicsAnimalsGenetic LinkageHumansLung DiseasesModels, Animal

Identifiers

PMID18355765
PMCPMC3616408
OpenAlexW2014579718

What OpenQuestion holds

Textmetadata
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.