Evidence map›Paper›PMID 20638111›Full record

ReviewThe Journal of allergy and clinical immunology2010

Application of genetic/genomic approaches to allergic disorders.

Tesfaye M Baye, Lisa J Martin, Gurjit K Khurana Hershey

Abstract readReview
In one paragraph

Review in The Journal of allergy and clinical immunology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Advances in pediatric asthma in 2010: addressing the major issues.The Journal of allergy and clinical immunology · 2011
    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

3 authors.

Tesfaye M BayeDivision of Asthma Research, University of Cincinnati, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Lisa J Martin
Gurjit K Khurana Hershey

Funding

TSLP, IL-9-producing mucosal mast cells, and allergic inflammationU19AI070235 · NIAID · CINCINNATI CHILDRENS HOSP MED CTR · PI Gurjit K. Khurana Hershey · 2006 to 2026
$31.3M
Development of an Asthma Research Core CenterP30HL101333 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI KHURANA HERSHEY, GURJIT K. · 2009 to 2010
$994k
NHLBI NIH HHS P30HL10133NHLBI NIH HHS P30 HL101333NIAID NIH HHS U19 AI070235PHS HHS U19A170235
6 · The paper itself

Abstract

Completion of the human genome project and rapid progress in genetics and bioinformatics have enabled the development of large public databases, which include genetic and genomic data linked to clinical health data. With the massive amount of information available, clinicians and researchers have the unique opportunity to complement and integrate their daily practice with the existing resources to clarify the underlying cause of complex phenotypes, such as allergic diseases. The genome itself is now often used as a starting point for many studies, and multiple innovative approaches have emerged applying genetic/genomic strategies to key questions in the field of allergy and immunology. There have been several successes that have uncovered new insights into the biologic underpinnings of allergic disorders. Herein we will provide an in-depth review of genomic approaches to identifying genes and biologic networks involved in allergic diseases. We will discuss genetic and phenotypic variation, statistical approaches for gene discovery, public databases, functional genomics, clinical implications, and the challenges that remain.

Indexed as

GenomicsHuman Genome ProjectDatabases, GeneticGenetic VariationHumansImmune System Diseases

Identifiers

PMID20638111
PMCPMC2934750

What OpenQuestion holds

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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.