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Exome-wide analysis of rare coding variation identifies novel associations with COPD and airflow limitation in MOCS3, IFIT3 and SERPINA12

Overview of attention for article published in Thorax, February 2016
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  • Above-average Attention Score compared to outputs of the same age (55th percentile)

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Title
Exome-wide analysis of rare coding variation identifies novel associations with COPD and airflow limitation in MOCS3, IFIT3 and SERPINA12
Published in
Thorax, February 2016
DOI 10.1136/thoraxjnl-2015-207876
Pubmed ID
Authors

Victoria E Jackson, Ioanna Ntalla, Ian Sayers, Richard Morris, Peter Whincup, Juan-Pablo Casas, Antoinette Amuzu, Minkyoung Choi, Caroline Dale, Meena Kumari, Jorgen Engmann, Noor Kalsheker, Sally Chappell, Tamar Guetta-Baranes, Tricia M McKeever, Colin N A Palmer, Roger Tavendale, John W Holloway, Avan A Sayer, Elaine M Dennison, Cyrus Cooper, Mona Bafadhel, Bethan Barker, Chris Brightling, Charlotte E Bolton, Michelle E John, Stuart G Parker, Miriam F Moffat, Andrew J Wardlaw, Martin J Connolly, David J Porteous, Blair H Smith, Sandosh Padmanabhan, Lynne Hocking, Kathleen E Stirrups, Panos Deloukas, David P Strachan, Ian P Hall, Martin D Tobin, Louise V Wain

Abstract

Several regions of the genome have shown to be associated with COPD in genome-wide association studies of common variants. To determine rare and potentially functional single nucleotide polymorphisms (SNPs) associated with the risk of COPD and severity of airflow limitation. 3226 current or former smokers of European ancestry with lung function measures indicative of Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2 COPD or worse were genotyped using an exome array. An analysis of risk of COPD was carried out using ever smoking controls (n=4784). Associations with %predicted FEV1 were tested in cases. We followed-up signals of interest (p<10(-5)) in independent samples from a subset of the UK Biobank population and also undertook a more powerful discovery study by meta-analysing the exome array data and UK Biobank data for variants represented on both arrays. Among the associated variants were two in regions previously unreported for COPD; a low frequency non-synonymous SNP in MOCS3 (rs7269297, pdiscovery=3.08×10(-6), preplication=0.019) and a rare SNP in IFIT3, which emerged in the meta-analysis (rs140549288, pmeta=8.56×10(-6)). In the meta-analysis of % predicted FEV1 in cases, the strongest association was shown for a splice variant in a previously unreported region, SERPINA12 (rs140198372, pmeta=5.72×10(-6)). We also confirmed previously reported associations with COPD risk at MMP12, HHIP, GPR126 and CHRNA5. No associations in novel regions reached a stringent exome-wide significance threshold (p<3.7×10(-7)). This study identified several associations with the risk of COPD and severity of airflow limitation, including novel regions MOCS3, IFIT3 and SERPINA12, which warrant further study.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Canada 1 1%
Unknown 97 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 17%
Student > Master 11 11%
Professor 9 9%
Student > Bachelor 9 9%
Professor > Associate Professor 8 8%
Other 20 20%
Unknown 26 26%
Readers by discipline Count As %
Medicine and Dentistry 28 28%
Biochemistry, Genetics and Molecular Biology 20 20%
Agricultural and Biological Sciences 6 6%
Immunology and Microbiology 5 5%
Nursing and Health Professions 3 3%
Other 11 11%
Unknown 27 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 23 March 2018.
All research outputs
#8,285,594
of 24,792,414 outputs
Outputs from Thorax
#3,038
of 5,591 outputs
Outputs of similar age
#109,012
of 304,190 outputs
Outputs of similar age from Thorax
#66
of 82 outputs
Altmetric has tracked 24,792,414 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,591 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.9. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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 304,190 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 55% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.