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Ethnic-specific associations of rare and low-frequency DNA sequence variants with asthma

Overview of attention for article published in Nature Communications, January 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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7 news outlets
blogs
1 blog
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13 X users

Citations

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63 Dimensions

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74 Mendeley
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Title
Ethnic-specific associations of rare and low-frequency DNA sequence variants with asthma
Published in
Nature Communications, January 2015
DOI 10.1038/ncomms6965
Pubmed ID
Authors

Catherine Igartua, Rachel A. Myers, Rasika A. Mathias, Maria Pino-Yanes, Celeste Eng, Penelope E. Graves, Albert M. Levin, Blanca E. Del-Rio-Navarro, Daniel J. Jackson, Oren E. Livne, Nicholas Rafaels, Christopher K. Edlund, James J. Yang, Scott Huntsman, Muhammad T. Salam, Isabelle Romieu, Raphael Mourad, James E. Gern, Robert F. Lemanske, Annah Wyss, Jane A. Hoppin, Kathleen C. Barnes, Esteban G. Burchard, W. James Gauderman, Fernando D. Martinez, Benjamin A. Raby, Scott T. Weiss, L. Keoki Williams, Stephanie J. London, Frank D. Gilliland, Dan L. Nicolae, Carole Ober

Abstract

Common variants at many loci have been robustly associated with asthma but explain little of the overall genetic risk. Here we investigate the role of rare (<1%) and low-frequency (1-5%) variants using the Illumina HumanExome BeadChip array in 4,794 asthma cases, 4,707 non-asthmatic controls and 590 case-parent trios representing European Americans, African Americans/African Caribbeans and Latinos. Our study reveals one low-frequency missense mutation in the GRASP gene that is associated with asthma in the Latino sample (P=4.31 × 10(-6); OR=1.25; MAF=1.21%) and two genes harbouring functional variants that are associated with asthma in a gene-based analysis: GSDMB at the 17q12-21 asthma locus in the Latino and combined samples (P=7.81 × 10(-8) and 4.09 × 10(-8), respectively) and MTHFR in the African ancestry sample (P=1.72 × 10(-6)). Our results suggest that associations with rare and low-frequency variants are ethnic specific and not likely to explain a significant proportion of the 'missing heritability' of asthma.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Unknown 71 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 20%
Student > Ph. D. Student 13 18%
Professor 7 9%
Student > Bachelor 6 8%
Professor > Associate Professor 6 8%
Other 16 22%
Unknown 11 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 31%
Medicine and Dentistry 15 20%
Agricultural and Biological Sciences 12 16%
Nursing and Health Professions 2 3%
Computer Science 2 3%
Other 5 7%
Unknown 15 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 62. 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 22 June 2019.
All research outputs
#645,616
of 24,417,958 outputs
Outputs from Nature Communications
#11,133
of 52,320 outputs
Outputs of similar age
#8,689
of 361,542 outputs
Outputs of similar age from Nature Communications
#107
of 672 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 52,320 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.2. This one has done well, scoring higher than 78% 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 361,542 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 672 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.