TY  - JOUR
A1  - Marenholz, Ingo
A1  - Esparza-Gordillo, Jorge
A1  - Rüschendorf, Franz
A1  - Bauerfeind, Anja
A1  - Strachan, David P.
A1  - Spycher, Ben D.
A1  - Baurecht, Hansjörg
A1  - Magaritte-Jeannin, Patricia
A1  - Sääf, Annika
A1  - Kerkhof, Marjan
A1  - Ege, Markus
A1  - Baltic, Svetlana
A1  - Matheson, Melanie C.
A1  - Li, Jin
A1  - Michel, Sven
A1  - Ang, Wei Q.
A1  - McArdle, Wendy
A1  - Arnold, Andreas
A1  - Homuth, Georg
A1  - Demenais, Florence
A1  - Bouzigon, Emmanuelle
A1  - Söderhäll, Cilla
A1  - Pershagen, Göran
A1  - de Jongste, Johan C.
A1  - Postma, Dirkje S.
A1  - Braun-Fahrländer, Charlotte
A1  - Horak, Elisabeth
A1  - Ogorodova, Ludmila M.
A1  - Puzyrev, Valery P.
A1  - Bragina, Elena Yu
A1  - Hudson, Thomas J.
A1  - Morin, Charles
A1  - Duffy, David L.
A1  - Marks, Guy B.
A1  - Robertson, Colin F.
A1  - Montgomery, Grant W.
A1  - Musk, Bill
A1  - Thompson, Philip J.
A1  - Martin, Nicholas G.
A1  - James, Alan
A1  - Sleiman, Patrick
A1  - Toskala, Elina
A1  - Rodriguez, Elke
A1  - Fölster-Holst, Regina
A1  - Franke, Andre
A1  - Lieb, Wolfgang
A1  - Gieger, Christian
A1  - Heinzmann, Andrea
A1  - Rietschel, Ernst
A1  - Keil, Thomas
A1  - Cichon, Sven
A1  - Nöthen, Markus M.
A1  - Pennel, Craig E.
A1  - Sly, Peter D.
A1  - Schmidt, Carsten O.
A1  - Matanovic, Anja
A1  - Schneider, Valentin
A1  - Heinig, Matthias
A1  - Hübner, Norbert
A1  - Holt, Patrick G.
A1  - Lau, Susanne
A1  - Kabesch, Michael
A1  - Weidinger, Stefan
A1  - Hakonarson, Hakon
A1  - Ferreira, Manuel A. R.
A1  - Laprise, Catherine
A1  - Freidin, Maxim B.
A1  - Genuneit, Jon
A1  - Koppelman, Gerard H.
A1  - Melén, Erik
A1  - Dizier, Marie-Hélène
A1  - Henderson, A. John
A1  - Lee, Young Ae
T1  - Meta-analysis identifies seven susceptibility loci involved in the atopic march
JF  - Nature Communications
N2  - Eczema often precedes the development of asthma in a disease course called the 'atopic march'. To unravel the genes underlying this characteristic pattern of allergic disease, we conduct a multi-stage genome-wide association study on infantile eczema followed by childhood asthma in 12 populations including 2,428 cases and 17,034 controls. Here we report two novel loci specific for the combined eczema plus asthma phenotype, which are associated with allergic disease for the first time; rs9357733 located in EFHC1 on chromosome 6p12.3 (OR 1.27; P = 2.1 x 10(-8)) and rs993226 between TMTC2 and SLC6A15 on chromosome 12q21.3 (OR 1.58; P = 5.3 x 10(-9)). Additional susceptibility loci identified at genome-wide significance are FLG (1q21.3), IL4/KIF3A (5q31.1), AP5B1/OVOL1 (11q13.1), C11orf30/LRRC32 (11q13.5) and IKZF3 (17q21). We show that predominantly eczema loci increase the risk for the atopic march. Our findings suggest that eczema may play an important role in the development of asthma after eczema.
KW  - chromosome 11Q13
KW  - risk
KW  - genomewide association
KW  - hay fever
KW  - birth cohort
KW  - filaggrin mutations
KW  - food allergy
KW  - juvenile myoclonic epilepsy
KW  - childhood asthma
KW  - dermatitis
Y1  - 2015
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-139835
VL  - 6
IS  - 8804
ER  - 
TY  - JOUR
A1  - Grabenhenrich, Linus B.
A1  - Reich, Andreas
A1  - Fischer, Felix
A1  - Zepp, Fred
A1  - Forster, Johannes
A1  - Schuster, Antje
A1  - Bauer, Carl-Peter
A1  - Bergmann, Renate L.
A1  - Bergmann, Karl E.
A1  - Wahn, Ulrich
A1  - Keil, Thomas
A1  - Lau, Susanne
T1  - The Novel 10-Item Asthma Prediction Tool: External Validation in the German MAS Birth Cohort
JF  - PLOS ONE
N2  - Background: A novel non-invasive asthma prediction tool from the Leicester Cohort, UK, forecasts asthma at age 8 years based on 10 predictors assessed in early childhood, including current respiratory symptoms, eczema, and parental history of asthma. 
Objective: We aimed to externally validate the proposed asthma prediction method in a German birth cohort. 
Methods: The MAS-90 study (Multicentre Allergy Study) recorded details on allergic diseases prospectively in about yearly follow-up assessments up to age 20 years in a cohort of 1,314 children born 1990. We replicated the scoring method from the Leicester cohort and assessed prediction, performance and discrimination. The primary outcome was defined as the combination of parent-reported wheeze and asthma drugs (both in last 12 months) at age 8. Sensitivity analyses assessed model performance for outcomes related to asthma up to age 20 years. Results: For 140 children parents reported current wheeze or cough at age 3 years. Score distribution and frequencies of later asthma resembled the Leicester cohort: 9% vs. 16% (MAS-90 vs. Leicester) of children at low risk at 3 years had asthma at 8 years, at medium risk 45% vs. 48%. Performance of the asthma prediction tool in the MAS-90 cohort was similar (Brier score 0.22 vs. 0.23) and discrimination slightly better than in the original cohort (area under the curve, AUC 0.83 vs. 0.78). Prediction and discrimination were robust against changes of inclusion criteria, scoring and outcome definitions. The secondary outcome 'physicians' diagnosed asthma at 20 years' showed the highest discrimination (AUC 0.89). 
Conclusion: The novel asthma prediction tool from the Leicester cohort, UK, performed well in another population, a German birth cohort, supporting its use and further development as a simple aid to predict asthma risk in clinical settings.
KW  - disease
KW  - models
KW  - symptoms
KW  - risk
KW  - early-life
KW  - young children
KW  - preschool children
KW  - sample
KW  - wheeze
KW  - age
Y1  - 2014
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-114202
SN  - 1932-6203
VL  - 9
IS  - 12
ER  -