Dubai Final-v20.indd - World Allergy Organization

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and dry weather city of Andhra Pradesh state in india, and the number of allergic population has been determined basing on the
appearance of allergic symptoms, and measuring the absolute esinophil count, peak expiratory flow rate and estimation of igE
antibody.
results: Visakhapatnam city with ~70% humidity is found to trigger about 30% migrants to develop allergic symptoms to that of
Anantapur city with ~40% humidity to 10% migrants to be allergic. Physical forces/non-immunogenic agents like rainy season,
onslaught of monsoon, dampness, odors, exposure to sun light at certain angles or direct exposure to air conditioned breeze could
trigger the spontaneous allergic rhinitis/asthma. Furthermore, a small variation in humidity from room to room in the same building
can trigger allergic reactions in susceptible individuals. these allergic symptoms can be prevented by regulating the fan speed, or
air-conditioned breeze. And also, it is observed that allergic symptoms appear more frequently in indoors rather than in outdoors,
this is due to humidity, soiled robes, the other agents like house dust mite, unhygienic conditions or combination of other facts.
Conclusion: there are certain kinds of physical agents which can induce allergic symptoms and also certain perfumes can relieve
off existing asthmatic symptoms.
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THE STaTiSTiCS TaKE iT all: ComParaTiVE analYSiS oF THE gEnomiC BaCKgroUnD oF CHilDHooD aSTHma in
CaUCaSian PoPUlaTion
Hadadi, E. 1 , Ungvari, i. 1 , Virag, V. 1 , nemeth, Z. 2 , Hullam, g. 3 , Antal, P. 3 , Falus, A. 1 and szalai, C. 1
1 2 3 genetics, Cell and immunbiology, semmelweis University, Budapest, Hungary. Csertex Kft, Budapest, Hungary. Department of
measurement and information systems, Budapest University of technology and Economics, Budapest, Hungary.
Asthma is a complex pulmonary disease with genetic and environmental components.
Our purpose with this work was to identify new genes and snPs implicated in pathomechanism of asthma.
in this study we selected candidate genes described in the literature and from our previously completed whole genome gene
expression microarray analysis of OVA induced mouse model of asthma. For further analysis we selected 308 genes. For the
selection of snPs, we created a new web-based data-mining and data-analyzing platform with the integration of public datastores.
the program performs model-based analysis on results of text and data mining processes, previous measurements and
Bayesian statistical analyses. Out of the 2643 snPs in these genes 399 snPs were chosen and used for panel design. We designed
four 48plex panels with Autoprimer software and the determination of snPs was carried out with single base extension assays
(genomelab snPstream, Beckman Coulter).
genotyping was performed in 349 asthmatic children and 461 controls. statistical analysis was carried out by conventional
frequentist analysis (chi-square test and logistic regression) and a new method developed by our team for the Bayesian analysis
of relevant variables based on Bayesian model averaging (using markov Chain monte Carlo methods) and complex properties of
Bayesian networks such as markov Blanket sets and markov Blanket graphs. the developed methodology of “Bayesian, four-level,
sequential analysis of relevance” is capable of incorporating diverse priors to facilitate knowledge-rich data analysis, effecting more
reliable results on multidimensional genomic studies.
According to conventional analyses (logistic regression and c2 test) 36 snPs appeared to be associated with asthma in Hungarian
population while by Bayesian multilevel analysis (BmlA) only 16 snPs came to the front and from these 8 showed association
with asthma. According to our understanding a multifactorial genetic background can be revealed only by complex and aggregate
method which can filter out essential and cardinal elements and alleviate the ‘noise’ /statistical faults. in our further studies we
would like to test and confirm this conception.
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PrEValanCE oF HUman-mETaPnUEmoVirUS inFECTion in WHEEZY aDmiTTED CHilDrEn
Alyasin, Jr., s. 1 and moatari, A. 2
1 2 Pediatric, shiraz University of medical science, shiraz, iran. influenza research Center, shiraz University of medical science,
shiraz, iran.
introduction: Viral infections such as para- influenza, influenza and respiratory syncitial virus (rsV) contribute to the most of
respiratory infections in children less than 5 year-old, yet causes for some 15-35% of children respiratory infections remained to be
unknown. in recent years newly discovered human-metapnuemovirus (hmPV) showed to be one of the major causes for upper as
well as lower respiratory tract infections especially in children. this virus also showed to be one of contributors in infants asthma
exacerbation.
method: in the present study, in one year, we examined 120 nasopharyngeal swaps from hospitalized children affected by
wheezing for the presence of hmPV by rt-PCr technique. the datas are recorded in questionnaires.
result: mean age for admitted children was 16 month-old .twenty out of 120 (16.6%) of
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