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African ancestry is associated with cluster-based childhood asthma subphenotypes

Overview of attention for article published in BMC Medical Genomics, May 2018
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Title
African ancestry is associated with cluster-based childhood asthma subphenotypes
Published in
BMC Medical Genomics, May 2018
DOI 10.1186/s12920-018-0367-5
Pubmed ID
Authors

Lili Ding, Dan Li, Michael Wathen, Mekibib Altaye, Tesfaye B. Mersha

Abstract

Childhood asthma is a syndrome composed of heterogeneous phenotypes; furthermore, intrinsic biologic variation among racial/ethnic populations suggests possible genetic ancestry variation in childhood asthma. The objective of the study is to identify clinically homogeneous asthma subphenotypes in a diverse sample of asthmatic children and to assess subphenotype-specific genetic ancestry in African-American asthmatic children. A total of 1211 asthmatic children including 813 in the Childhood Asthma Management Program and 398 in the Childhood Asthma Research and Education program were studied. Unsupervised cluster analysis on clinical phenotypes was conducted to identify homogeneous subphenotypes. Subphenotype-specific genetic ancestry was estimated for 167 African-American asthmatic children. Genetic ancestry association with subphenotypes/clinical phenotypes were determined. Three distinct subphenotypes were identified: a moderate atopic dermatitis (AD) group with negative skin prick test (SPT) and preserved lung function; a high AD group with positive SPT and airway hyperresponsiveness; and a low AD group with positive SPT and lower lung function. African ancestry at asthma genome-wide association study (GWAS) SNPs differed between subphenotypes (64, 89, and 94% for the three subphenotypes, respectively) and was inversely correlated with AD; each additional 10% increase in African ancestry was associated with 1.5 fold higher in IgE and 6.3 higher odds of positive SPT (all p-values < 0.0001). By conducting phenotype-based cluster analysis and assessing subphenotype-specific genetic ancestry, we were able to identify homogeneous subphenotypes for childhood asthma that showed significant variation in genetic ancestry of African-American asthmatic children. This finding demonstrates the utility of these complementary approaches to understand and refine childhood asthma subphenotypes and enable more targeted therapy.

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Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 30%
Student > Ph. D. Student 5 22%
Other 3 13%
Student > Master 2 9%
Student > Bachelor 1 4%
Other 3 13%
Unknown 2 9%
Readers by discipline Count As %
Medicine and Dentistry 12 52%
Biochemistry, Genetics and Molecular Biology 3 13%
Mathematics 1 4%
Economics, Econometrics and Finance 1 4%
Immunology and Microbiology 1 4%
Other 2 9%
Unknown 3 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 July 2019.
All research outputs
#11,722,625
of 15,363,529 outputs
Outputs from BMC Medical Genomics
#560
of 798 outputs
Outputs of similar age
#192,354
of 278,996 outputs
Outputs of similar age from BMC Medical Genomics
#1
of 1 outputs
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