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Genome-wide association study of lung function and clinical implication in heavy smokers

Overview of attention for article published in BMC Medical Genomics, August 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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Title
Genome-wide association study of lung function and clinical implication in heavy smokers
Published in
BMC Medical Genomics, August 2018
DOI 10.1186/s12881-018-0656-z
Pubmed ID
Authors

Xingnan Li, Victor E. Ortega, Elizabeth J. Ampleford, R. Graham Barr, Stephanie A. Christenson, Christopher B. Cooper, David Couper, Mark T. Dransfield, Mei Lan K. Han, Nadia N. Hansel, Eric A. Hoffman, Richard E. Kanner, Eric C. Kleerup, Fernando J. Martinez, Robert Paine, Prescott G. Woodruff, Gregory A. Hawkins, Eugene R. Bleecker, Deborah A. Meyers, for the SPIROMICS Research Group

Abstract

The aim of this study is to identify genetic loci associated with post-bronchodilator FEV1/FVC and FEV1, and develop a multi-gene predictive model for lung function in COPD. Genome-wide association study (GWAS) of post-bronchodilator FEV1/FVC and FEV1 was performed in 1645 non-Hispanic White European descent smokers. A functional rare variant in SERPINA1 (rs28929474: Glu342Lys) was significantly associated with post-bronchodilator FEV1/FVC (p = 1.2 × 10- 8) and FEV1 (p = 2.1 × 10- 9). In addition, this variant was associated with COPD (OR = 2.3; p = 7.8 × 10- 4) and severity (OR = 4.1; p = 0.0036). Heterozygous subjects (CT genotype) had significantly lower lung function and higher percentage of COPD and more severe COPD than subjects with the CC genotype. 8.6% of the variance of post-bronchodilator FEV1/FVC can be explained by SNPs in 10 genes with age, sex, and pack-years of cigarette smoking (P <  2.2 × 10- 16). This study is the first to show genome-wide significant association of rs28929474 in SERPINA1 with lung function. Of clinical importance, heterozygotes of rs28929474 (4.7% of subjects) have significantly reduced pulmonary function, demonstrating a major impact in smokers. The multi-gene model is significantly associated with CT-based emphysema and clinical outcome measures of severity. Combining genetic information with demographic and environmental factors will further increase the predictive power for assessing reduced lung function and COPD severity.

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X Demographics

The data shown below were collected from the profiles of 12 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 20%
Student > Ph. D. Student 8 15%
Student > Master 8 15%
Student > Doctoral Student 4 7%
Student > Bachelor 3 5%
Other 3 5%
Unknown 18 33%
Readers by discipline Count As %
Medicine and Dentistry 11 20%
Biochemistry, Genetics and Molecular Biology 5 9%
Psychology 4 7%
Nursing and Health Professions 3 5%
Agricultural and Biological Sciences 3 5%
Other 8 15%
Unknown 21 38%
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 28 September 2020.
All research outputs
#4,838,109
of 25,385,509 outputs
Outputs from BMC Medical Genomics
#313
of 2,444 outputs
Outputs of similar age
#86,529
of 341,886 outputs
Outputs of similar age from BMC Medical Genomics
#6
of 56 outputs
Altmetric has tracked 25,385,509 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 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. 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 341,886 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 73% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.