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Sökning: WFRF:(Moghadam Behrooz Torabi) > Kere Juha > Rule-Based Models o...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00005510naa a2200613 4500
001oai:DiVA.org:uu-213817
003SwePub
008140104s2013 | |||||||||||000 ||eng|
009oai:prod.swepub.kib.ki.se:127812250
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-2138172 URI
0247 a https://doi.org/10.1371/journal.pone.00800802 DOI
0247 a http://kipublications.ki.se/Default.aspx?queryparsed=id:1278122502 URI
040 a (SwePub)uud (SwePub)ki
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Bornelöv, Susanneu Uppsala universitet,Beräknings- och systembiologi,Science for Life Laboratory, SciLifeLab4 aut0 (Swepub:uu)susbo258
2451 0a Rule-Based Models of the Interplay between Genetic and Environmental Factors in Childhood Allergy
264 c 2013-11-19
264 1b Public Library of Science (PLoS),c 2013
338 a electronic2 rdacarrier
520 a Both genetic and environmental factors are important for the development of allergic diseases. However, a detailed understanding of how such factors act together is lacking. To elucidate the interplay between genetic and environmental factors in allergic diseases, we used a novel bioinformatics approach that combines feature selection and machine learning. In two materials, PARSIFAL (a European cross-sectional study of 3113 children) and BAMSE (a Swedish birth-cohort including 2033 children), genetic variants as well as environmental and lifestyle factors were evaluated for their contribution to allergic phenotypes. Monte Carlo feature selection and rule based models were used to identify and rank rules describing how combinations of genetic and environmental factors affect the risk of allergic diseases. Novel interactions between genes were suggested and replicated, such as between ORMDL3 and RORA, where certain genotype combinations gave odds ratios for current asthma of 2.1 (95% CI 1.2-3.6) and 3.2 (95% CI 2.0-5.0) in the BAMSE and PARSIFAL children, respectively. Several combinations of environmental factors appeared to be important for the development of allergic disease in children. For example, use of baby formula and antibiotics early in life was associated with an odds ratio of 7.4 (95% CI 4.5-12.0) of developing asthma. Furthermore, genetic variants together with environmental factors seemed to play a role for allergic diseases, such as the use of antibiotics early in life and COL29A1 variants for asthma, and farm living and NPSR1 variants for allergic eczema. Overall, combinations of environmental and life style factors appeared more frequently in the models than combinations solely involving genes. In conclusion, a new bioinformatics approach is described for analyzing complex data, including extensive genetic and environmental information. Interactions identified with this approach could provide useful hints for further in-depth studies of etiological mechanisms and may also strengthen the basis for risk assessment and prevention.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Medicinska och farmaceutiska grundvetenskaperx Medicinsk genetik0 (SwePub)301072 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Basic Medicinex Medical Genetics0 (SwePub)301072 hsv//eng
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Lungmedicin och allergi0 (SwePub)302192 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Respiratory Medicine and Allergy0 (SwePub)302192 hsv//eng
650 7a MEDICIN OCH HÄLSOVETENSKAPx Hälsovetenskapx Arbetsmedicin och miljömedicin0 (SwePub)303032 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Health Sciencesx Occupational Health and Environmental Health0 (SwePub)303032 hsv//eng
7001 a Saaf, Annika4 aut
7001 a Melen, Eriku Karolinska Institutet4 aut
7001 a Bergstrom, Annau Karolinska Institutet4 aut
7001 a Moghadam, Behrooz Torabiu Uppsala universitet,Beräknings- och systembiologi,Science for Life Laboratory, SciLifeLab4 aut0 (Swepub:uu)behto381
7001 a Pulkkinen, Ville4 aut
7001 a Acevedo, Nathalieu Karolinska Institutet4 aut
7001 a Pietras, Christina Orsmark4 aut
7001 a Ege, Markus4 aut
7001 a Braun-Fahrlaender, Charlotte4 aut
7001 a Riedler, Josef4 aut
7001 a Doekes, Gert4 aut
7001 a Kabesch, Michael4 aut
7001 a van Hage, Marianneu Karolinska Institutet4 aut
7001 a Kere, Juhau Karolinska Institutet4 aut
7001 a Scheynius, Annikau Karolinska Institutet4 aut
7001 a Soderhall, Cillau Karolinska Institutet4 aut
7001 a Pershagen, Goranu Karolinska Institutet4 aut
7001 a Komorowski, Janu Uppsala universitet,Beräknings- och systembiologi,Science for Life Laboratory, SciLifeLab4 aut0 (Swepub:uu)jakom133
7102 a Uppsala universitetb Beräknings- och systembiologi4 org
7730 t PLOS ONEd : Public Library of Science (PLoS)g 8:11, s. e80080-q 8:11<e80080-x 1932-6203
8564 u https://uu.diva-portal.org/smash/get/diva2:683601/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
8564 u https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0080080&type=printable
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-213817
8564 8u https://doi.org/10.1371/journal.pone.0080080
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:127812250

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