Evidence map›Paper›PMID 20012967›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2010

Identification of novel chromosomal regions associated with airway hyperresponsiveness in recombinant congenic strains of mice.

Pierre Camateros, Rafael Marino, Anny Fortin, James G Martin, Emil Skamene, Rob Sladek, Danuta Radzioch

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Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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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

13 citing papers in PubMed.

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  11. Identification of the Mhc region as an asthma susceptibility locus in recombinant congenic mice.American journal of respiratory cell and molecular biology · 2011
    Article
  12. Multiple imputation of missing phenotype data for QTL mapping.Statistical applications in genetics and molecular biology · 2011
    Article
  13. 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

7 authors.

Pierre CamaterosDivision of Experimental Medicine, Department of Medicine, McGill University, Montreal, QC, H3A 2T5, Canada.
Rafael Marino
Anny Fortin
James G Martin
Emil Skamene
Rob Sladek
Danuta Radzioch

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

Airway responsiveness is the ability of the airways to respond to bronchoconstricting stimuli by reducing their diameter. Airway hyperresponsiveness has been associated with asthma susceptibility in both humans and murine models, and it has been shown to be a complex and heritable trait. In particular, the A/J mouse strain is known to have hyperresponsive airways, while the C57BL/6 strain is known to be relatively refractory to bronchoconstricting stimuli. We analyzed recombinant congenic strains (RCS) of mice generated from these hyper- and hyporesponsive parental strains to identify genetic loci underlying the trait of airway responsiveness in response to methacholine as assessed by whole-body plethysmography. Our screen identified 16 chromosomal regions significantly associated with airway hyperresponsiveness (genome-wide P <or= 0.05): 8 are supported by independent and previously published reports while 8 are entirely novel. Regions that overlap with previous reports include two regions on chromosome 2, three on chromosome 6, one on chromosome 15, and two on chromosome 17. The 8 novel regions are located on chromosome 1 (92-100 cM), chromosome 5 (>73 cM), chromosome 7 (>63 cM), chromosome 8 (52-67 cM), chromosome 10 (3-7 cM and >68 cM), and chromosome 12 (25-38 cM and >52 cM). Our data identify several likely candidate genes from the 16 regions, including Ddr2, Hc, Fbn1, Flt3, Utrn, Enpp2, and Tsc.

Indexed as

Chromosomes, MammalianAnimalsBreedingBronchial HyperreactivityChromosome MappingMiceMice, Inbred C57BLPhenotypeRecombination, GeneticRespiratory HypersensitivityRespiratory System

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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.