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A genome-wide association study of asthma symptoms in Latin American children

Overview of attention for article published in BMC Genomic Data, December 2015
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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27 Dimensions

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Title
A genome-wide association study of asthma symptoms in Latin American children
Published in
BMC Genomic Data, December 2015
DOI 10.1186/s12863-015-0296-7
Pubmed ID
Authors

Gustavo N. O. Costa, Frank Dudbridge, Rosemeire L. Fiaccone, Thiago M. da Silva, Jackson S. Conceição, Agostino Strina, Camila A. Figueiredo, Wagner C. S. Magalhães, Maira R. Rodrigues, Mateus H. Gouveia, Fernanda S. G. Kehdy, Andrea R. V. R. Horimoto, Bernardo Horta, Esteban G. Burchard, Maria Pino-Yanes, Blanca Del Rio Navarro, Isabelle Romieu, Dana B. Hancock, Stephanie London, Maria Fernanda Lima-Costa, Alexandre C. Pereira, Eduardo Tarazona, Laura C Rodrigues, Mauricio L. Barreto

Abstract

Asthma is a chronic disease of the airways and, despite the advances in the knowledge of associated genetic regions in recent years, their mechanisms have yet to be explored. Several genome-wide association studies have been carried out in recent years, but none of these have involved Latin American populations with a high level of miscegenation, as is seen in the Brazilian population. 1246 children were recruited from a longitudinal cohort study in Salvador, Brazil. Asthma symptoms were identified in accordance with an International Study of Asthma and Allergies in Childhood (ISAAC) questionnaire. Following quality control, 1 877 526 autosomal SNPs were tested for association with childhood asthma symptoms by logistic regression using an additive genetic model. We complemented the analysis with an estimate of the phenotypic variance explained by common genetic variants. Replications were investigated in independent Mexican and US Latino samples. Two chromosomal regions reached genome-wide significance level for childhood asthma symptoms: the 14q11 region flanking the DAD1 and OXA1L genes (rs1999071, MAF 0.32, OR 1.78, 95 % CI 1.45-2.18, p-value 2.83 × 10(-8)) and 15q22 region flanking the FOXB1 gene (rs10519031, MAF 0.04, OR 3.0, 95 % CI 2.02-4.49, p-value 6.68 × 10(-8) and rs8029377, MAF 0.03, OR 2.49, 95 % CI 1.76-3.53, p-value 2.45 × 10(-7)). eQTL analysis suggests that rs1999071 regulates the expression of OXA1L gene. However, the original findings were not replicated in the Mexican or US Latino samples. We conclude that the 14q11 and 15q22 regions may be associated with asthma symptoms in childhood.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 19%
Researcher 14 19%
Student > Master 7 9%
Student > Bachelor 7 9%
Student > Doctoral Student 5 7%
Other 13 17%
Unknown 15 20%
Readers by discipline Count As %
Medicine and Dentistry 15 20%
Biochemistry, Genetics and Molecular Biology 13 17%
Agricultural and Biological Sciences 12 16%
Immunology and Microbiology 8 11%
Psychology 2 3%
Other 5 7%
Unknown 20 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 June 2016.
All research outputs
#14,600,553
of 25,374,647 outputs
Outputs from BMC Genomic Data
#429
of 1,204 outputs
Outputs of similar age
#190,297
of 395,183 outputs
Outputs of similar age from BMC Genomic Data
#7
of 31 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 63% 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 395,183 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.