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X Demographics
Mendeley readers
| Title |
Estimating the causal effect of body mass index on hay fever, asthma and lung function using Mendelian randomization
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|---|---|
| Published in |
Allergy, August 2017
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| DOI | 10.1111/all.13242 |
| Pubmed ID | |
| Authors |
T. Skaaby, A. E. Taylor, B. H. Thuesen, R. K. Jacobsen, N. Friedrich, L. T. Møllehave, S. Hansen, S. C. Larsen, U. Völker, M. Nauck, H. Völzke, T. Hansen, O. Pedersen, T. Jørgensen, L. Paternoster, M. Munafò, N. Grarup, A. Linneberg |
| Abstract |
Observational studies have shown that body mass index (BMI) is positively associated with asthma. However, observational data are prone to confounding and reverse causation. In Mendelian randomization, genetic variants are used as un-confounded markers of exposures to examine causal effects. We examined the causal effect of BMI on asthma, hay fever, allergic sensitization, serum total immunoglobulin E (IgE), forced expiratory volume in one second (FEV1), and forced vital capacity (FVC). We included 490,497 participants in the observational and 162,124 participants in the genetic analyses. A genetic risk score (GRS) was created using 26 BMI-associated single nucleotide polymorphisms (SNPs). Results were pooled in meta-analyses and expressed as odds ratios (ORs) or β-estimates with 95% confidence interval (CI). The GRS was significantly associated with asthma (OR=1.009; 95% CI: 1.004, 1.013), but not with hay fever (OR= 0.998; 95% CI: 0.994, 1.002), or allergic sensitization (OR=0.999; 95% CI: 0.986, 1.012) per BMI-increasing allele. The GRS was significantly associated with decrease in FEV1: β=-0.0012 (95% CI: -0.0019, -0.0006) and FVC: β=-0.0022 (95% CI: -0.0031, -0.0014) per BMI-increasing allele. Effect sizes estimated by instrumental variable analyses were OR=1.07 (95% CI: 1.03, 1.10) for asthma, a 9 ml decrease in FEV1 (95% CI: 2.0-15 ml decrease), and a 16 ml decrease in FVC (95% CI: 7.0-24 ml decrease) per 1 kg/m(2) higher BMI. The results support the conclusion that increasing BMI is causally related to higher prevalence of asthma and decreased lung function, but not with hay fever or biomarkers of allergy. This article is protected by copyright. All rights reserved. |
X Demographics
The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 21% |
| United Kingdom | 5 | 17% |
| Saudi Arabia | 3 | 10% |
| Australia | 2 | 7% |
| Spain | 2 | 7% |
| Canada | 2 | 7% |
| Chile | 1 | 3% |
| Argentina | 1 | 3% |
| Thailand | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 4 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 66% |
| Practitioners (doctors, other healthcare professionals) | 8 | 28% |
| Scientists | 2 | 7% |
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 | 10 | 18% |
| Student > Master | 8 | 15% |
| Student > Bachelor | 5 | 9% |
| Student > Doctoral Student | 3 | 5% |
| Student > Ph. D. Student | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 21 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 20% |
| Biochemistry, Genetics and Molecular Biology | 6 | 11% |
| Immunology and Microbiology | 4 | 7% |
| Nursing and Health Professions | 4 | 7% |
| Engineering | 2 | 4% |
| Other | 8 | 15% |
| Unknown | 20 | 36% |