| Title |
No convincing association between genetic markers and respiratory symptoms: results of a GWA study
|
|---|---|
| Published in |
Respiratory Research, January 2017
|
| DOI | 10.1186/s12931-016-0495-4 |
| Pubmed ID | |
| Authors |
Xiang Zeng, Judith M. Vonk, Kim de Jong, Xijin Xu, Xia Huo, H. Marike Boezen |
| Abstract |
Respiratory symptoms are associated with accelerated lung function decline, and increased hospitalization and mortality rates in the general population. Although several environmental risk factors for respiratory symptoms are known, knowledge on genetic risk factors is lacking. We aim to identify genetic variants associated with respiratory symptoms by genome-wide association (GWA) analyses. We conducted the first GWA study on cough, dyspnea and phlegm among 7,976 participants in the LifeLines I cohort and used the LifeLines II cohort (n = 5,260) and the Vlagtwedde-Vlaardingen cohort (n = 1,529) for replication. We identified 50 SNPs that were assessed for replication. Rs16918212, located in the alpha-2-macroglobulin pseudogene 1 (A2MP1), was associated with cough in both the identification (odds ratio (OR) = 0.72, p = 5.41 × 10(-5)) and the meta-analyzed replication cohorts (OR = 0.83, p = 0.033). No other significant replicated associations were found. Given that only 1 out of 50 SNPs showed significant replication (i.e. 2%) we conclude that we did not find a convincing association between genetic markers and respiratory symptoms. Since, environmental exposures are important risk factors for respiratory symptoms, the next step is to perform a genome-wide interaction (GWI) study to identify genetic susceptibility loci for respiratory symptoms in interaction with known harmful environmental exposures. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 17% |
| Student > Doctoral Student | 3 | 13% |
| Student > Bachelor | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Researcher | 3 | 13% |
| Other | 2 | 8% |
| Unknown | 6 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 21% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Nursing and Health Professions | 3 | 13% |
| Immunology and Microbiology | 2 | 8% |
| Computer Science | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 8 | 33% |
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 11 January 2017.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from Respiratory Research
#2,216
of 3,062 outputs
Outputs of similar age
#268,808
of 423,372 outputs
Outputs of similar age from Respiratory Research
#39
of 48 outputs
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