Title |
Interaction of prenatal maternal smoking, interleukin 13 genetic variants and DNA methylation influencing airflow and airway reactivity
|
---|---|
Published in |
Clinical Epigenetics, December 2013
|
DOI | 10.1186/1868-7083-5-22 |
Pubmed ID | |
Authors |
Veeresh K Patil, John W Holloway, Hongmei Zhang, Nelis Soto-Ramirez, Susan Ewart, S Hasan Arshad, Wilfried Karmaus |
Abstract |
Asthma is characterized by airflow limitation and airway reactivity (AR). Interleukin-13 (IL-13) is involved in the pathogenesis of asthma. Two functional SNPs, rs20541 and rs1800925, of the IL-13 gene (IL13) have been frequently associated with asthma-related lung functions. However, genetic variation alone does not fully explain asthma risk. DNA-methylation (DNA-M) is an epigenetic mechanism that regulates gene expression and can be influenced by both environment and genetic variants. To explore the interplay of prenatal maternal smoking, genetic variants and DNA-M, we used a two-stage model: (1) identifying cytosine phosphate guanine (CpG) sites where DNA-M is influenced by the interaction between genetic variants and maternal smoking during pregnancy (conditional methQTL (methylation quantitative trait loci)); and (2) determining the effect of the interaction between DNA-M of CpG (from stage 1) and SNPs (modifying genetic variants; modGV) on airflow limitation and AR in 245 female participants of the Isle of Wight birth cohort. DNA-M was assessed using the Illumina Infinium HumanMethylation450 BeadChip. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 7% |
Spain | 1 | 2% |
Hong Kong | 1 | 2% |
Sweden | 1 | 2% |
Unknown | 51 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 34% |
Researcher | 8 | 14% |
Student > Master | 5 | 9% |
Student > Doctoral Student | 4 | 7% |
Professor | 4 | 7% |
Other | 11 | 19% |
Unknown | 6 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 19 | 33% |
Agricultural and Biological Sciences | 11 | 19% |
Biochemistry, Genetics and Molecular Biology | 4 | 7% |
Social Sciences | 4 | 7% |
Computer Science | 3 | 5% |
Other | 5 | 9% |
Unknown | 12 | 21% |