Abstract
In the genetics of asthma, single genetic polymorphisms confer only a small individual risk factor. Haplotype-based association analyses, including joint analyses of several candidate genes, might therefore yield more convincing results than single-region statistics. We set out to test for joint influences of asthma genes previously identified in our study population that is acidic mammalian chitinase (AMCase), Toll-like receptor (TLR)-10, and the interleukins IL-4, IL-13, IL-8, and IL-15. In particular, we investigated whether haplotypes at two or three genes show stronger association with the trait than at a single gene alone. We genotyped 26 polymorphisms in 321 asthmatic children and 270 controls. Haplotype-based association analyses were performed by the program FAMHAP. Single-, two-, and three-gene analyses were conducted as well as conditional analyses for pairs of genes. In the two-region analyses, best evidence was found for a joint effect on asthma for AMCase and IL-4 (praw<5×10-7) as well as AMCase and IL-13 (praw=5×10-7). Besides, IL-13 and TLR-10 showed a stronger two-gene result (praw=0.001607) than the respective single-gene analyses. Conditional analyses yielded similar results for these two-gene combinations and also revealed mutual additional effects for IL-13 and IL-4 (pstratified=0.014831 and 0.001525, respectively). The most significant results demonstrate a joint effect of AMCase with IL-4 or IL-13 on the trait. Furthermore, additional mutual effects were seen for AMCase and IL-4 as well as for TLR-10 and IL-13. The corresponding pathways might therefore be of particular importance in the genetics of asthma. Further studies are needed to elucidate the functional importance of these gene-gene effects and their precise role in asthma pathogenesis.
| Original language | English |
|---|---|
| Journal | Pediatric Allergy and Immunology |
| Volume | 21 |
| Issue number | 4 PART2 |
| Pages (from-to) | e679-e686 |
| ISSN | 0905-6157 |
| DOIs | |
| Publication status | Published - 06.2010 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Research Areas and Centers
- Academic Focus: Center for Brain, Behavior and Metabolism (CBBM)
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