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Whole-Genome Sequencing of Individuals from a Founder Population Identifies Candidate Genes for Asthma

Overview of attention for article published in PLOS ONE, August 2014
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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 (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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Title
Whole-Genome Sequencing of Individuals from a Founder Population Identifies Candidate Genes for Asthma
Published in
PLOS ONE, August 2014
DOI 10.1371/journal.pone.0104396
Pubmed ID
Authors

Catarina D. Campbell, Kiana Mohajeri, Maika Malig, Fereydoun Hormozdiari, Benjamin Nelson, Gaixin Du, Kristen M. Patterson, Celeste Eng, Dara G. Torgerson, Donglei Hu, Catherine Herman, Jessica X. Chong, Arthur Ko, Brian J. O'Roak, Niklas Krumm, Laura Vives, Choli Lee, Lindsey A. Roth, William Rodriguez-Cintron, Jose Rodriguez-Santana, Emerita Brigino-Buenaventura, Adam Davis, Kelley Meade, Michael A. LeNoir, Shannon Thyne, Daniel J. Jackson, James E. Gern, Robert F. Lemanske, Jay Shendure, Mark Abney, Esteban G. Burchard, Carole Ober, Evan E. Eichler

Abstract

Asthma is a complex genetic disease caused by a combination of genetic and environmental risk factors. We sought to test classes of genetic variants largely missed by genome-wide association studies (GWAS), including copy number variants (CNVs) and low-frequency variants, by performing whole-genome sequencing (WGS) on 16 individuals from asthma-enriched and asthma-depleted families. The samples were obtained from an extended 13-generation Hutterite pedigree with reduced genetic heterogeneity due to a small founding gene pool and reduced environmental heterogeneity as a result of a communal lifestyle. We sequenced each individual to an average depth of 13-fold, generated a comprehensive catalog of genetic variants, and tested the most severe mutations for association with asthma. We identified and validated 1960 CNVs, 19 nonsense or splice-site single nucleotide variants (SNVs), and 18 insertions or deletions that were out of frame. As follow-up, we performed targeted sequencing of 16 genes in 837 cases and 540 controls of Puerto Rican ancestry and found that controls carry a significantly higher burden of mutations in IL27RA (2.0% of controls; 0.23% of cases; nominal p = 0.004; Bonferroni p = 0.21). We also genotyped 593 CNVs in 1199 Hutterite individuals. We identified a nominally significant association (p = 0.03; Odds ratio (OR) = 3.13) between a 6 kbp deletion in an intron of NEDD4L and increased risk of asthma. We genotyped this deletion in an additional 4787 non-Hutterite individuals (nominal p = 0.056; OR = 1.69). NEDD4L is expressed in bronchial epithelial cells, and conditional knockout of this gene in the lung in mice leads to severe inflammation and mucus accumulation. Our study represents one of the early instances of applying WGS to complex disease with a large environmental component and demonstrates how WGS can identify risk variants, including CNVs and low-frequency variants, largely untested in GWAS.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 19%
Researcher 11 19%
Student > Master 8 14%
Student > Bachelor 5 9%
Student > Doctoral Student 4 7%
Other 10 17%
Unknown 9 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 31%
Agricultural and Biological Sciences 15 26%
Medicine and Dentistry 8 14%
Immunology and Microbiology 3 5%
Computer Science 2 3%
Other 1 2%
Unknown 11 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 29 April 2015.
All research outputs
#4,566,807
of 22,760,687 outputs
Outputs from PLOS ONE
#62,479
of 194,199 outputs
Outputs of similar age
#45,880
of 231,106 outputs
Outputs of similar age from PLOS ONE
#1,140
of 4,726 outputs
Altmetric has tracked 22,760,687 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 194,199 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 67% 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 231,106 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 80% of its contemporaries.
We're also able to compare this research output to 4,726 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.