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Identification of a novel asthma susceptibility gene on chromosome 1qter and its functional evaluation

Overview of attention for article published in Human Molecular Genetics, March 2008
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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2 X users
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2 patents
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1 Wikipedia page

Citations

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Title
Identification of a novel asthma susceptibility gene on chromosome 1qter and its functional evaluation
Published in
Human Molecular Genetics, March 2008
DOI 10.1093/hmg/ddn087
Pubmed ID
Authors

Julia H. White, Mathias Chiano, Mark Wigglesworth, Robert Geske, John Riley, Nicola White, Simon Hall, Guohua Zhu, Frank Maurio, Tony Savage, Wayne Anderson, Joanna Cordy, Melissa Ducceschi, Jorgen Vestbo, Sreekumar G. Pillai

Abstract

Asthma is a multifactorial disease, in which the intricate interplay between genetic and environmental factors underlies the overall phenotype of the disease. Using a genome-wide scan for linkage in a population comprising of Danish families, we identified a novel linked locus on chromosome 1qter (LOD 3.6, asthma) and supporting evidence for this locus was identified for both asthma and atopic-asthma phenotypes in the GAIN (Genetics of Asthma International Network) families. The putative susceptibility gene was progressively localized to a 4.5 Mb region on chromosome 1q adjacent to the telomere, through a series of genotyping screens. Further screening using the pedigree-based association test (PBAT) identified polymorphisms in the OPN3 and CHML genes as being associated with asthma and atopic asthma after correcting for multiple comparisons. We observed that polymorphisms flanking the OPN3 and CHML genes wholly accounted for the original linkage in the Danish population and the genetic association was also confirmed in two separate studies involving the GAIN families. OPN3 and CHML are unique genes with no known function that are related to the pathophysiology of asthma. Significantly, analysis of gene expression at both RNA and protein levels, clearly demonstrated OPN3 expression in lung bronchial epithelia as well as immune cells, while CHML expression appeared minimal. Moreover, OPN3 down-regulation by siRNA knock-down in Jurkat cells suggested a possible role for OPN3 in modulation of T-cell responses. Collectively, these data suggest that OPN3 is an asthma susceptibility gene on 1qter, which unexpectedly may play a role in immune modulation.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 18%
Student > Bachelor 7 11%
Researcher 7 11%
Student > Master 7 11%
Student > Doctoral Student 5 8%
Other 11 18%
Unknown 13 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 28%
Agricultural and Biological Sciences 11 18%
Medicine and Dentistry 8 13%
Neuroscience 3 5%
Nursing and Health Professions 2 3%
Other 7 11%
Unknown 13 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 December 2018.
All research outputs
#3,155,490
of 25,169,746 outputs
Outputs from Human Molecular Genetics
#1,102
of 8,274 outputs
Outputs of similar age
#9,506
of 90,904 outputs
Outputs of similar age from Human Molecular Genetics
#6
of 49 outputs
Altmetric has tracked 25,169,746 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,274 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 90,904 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.