| Title |
Single-nucleotide polymorphisms of allergy-related genes and risk of adult glioma
|
|---|---|
| Published in |
Journal of Neuro-Oncology, March 2013
|
| DOI | 10.1007/s11060-013-1122-6 |
| Pubmed ID | |
| Authors |
Danielle M. Backes, Afshan Siddiq, David G. Cox, Federico C. F. Calboli, J. Michael Gaziano, Jing Ma, Meir Stampfer, David J. Hunter, Carlos A. Camargo, Dominique S. Michaud |
| Abstract |
Previous studies have shown an inverse association between allergies and glioma risk; however, results for associations between single nucleotide polymorphisms (SNPs) of allergy-related genes and glioma risk have been inconsistent and restricted to a small number of SNPs. The objective of this study was to examine the association between 166 SNPs of 21 allergy-related genes and glioma risk in a nested case-control study of participants from three large US prospective cohort studies. Blood collection took place between 1982 and 1994 among the 562 included Caucasian participants (143 cases and 419 matched controls) prior to case diagnosis. Custom Illumina assay chips were used for genotyping. Logistic regression analyses, controlling for age and study cohort, were used to determine associations between each SNP and glioma risk. Statistically significant associations were found between rs2494262 and rs2427824 of the FCER1A gene, which encodes the alpha chain of the high affinity immunoglobulin E receptor, and glioma risk (nominal trend p values 0.01 and 0.03, respectively). Significant associations were also found between SNPs in IL10, ADAM33, NOS1 and IL4R and glioma risk. However, our analyses were not corrected for multiple comparisons and need to be interpreted with caution. Our findings with FCER1A SNPs provide further support for the link between allergies and risk of glioma. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ukraine | 1 | 6% |
| Nigeria | 1 | 6% |
| Unknown | 16 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 22% |
| Student > Bachelor | 3 | 17% |
| Other | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Student > Master | 2 | 11% |
| Other | 1 | 6% |
| Unknown | 4 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 28% |
| Biochemistry, Genetics and Molecular Biology | 4 | 22% |
| Agricultural and Biological Sciences | 2 | 11% |
| Nursing and Health Professions | 1 | 6% |
| Social Sciences | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 22% |
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 26 March 2013.
All research outputs
#15,686,478
of 23,310,485 outputs
Outputs from Journal of Neuro-Oncology
#1,995
of 3,016 outputs
Outputs of similar age
#125,335
of 198,817 outputs
Outputs of similar age from Journal of Neuro-Oncology
#15
of 33 outputs
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