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Böck, Andreas ORCID logoORCID: https://orcid.org/0000-0002-4511-7769; Urner, Kathrin; Eckert, Jana Kristin ORCID logoORCID: https://orcid.org/0000-0003-1616-7430; Salvermoser, Michael ORCID logoORCID: https://orcid.org/0000-0001-9412-8483; Laubhahn, Kristina ORCID logoORCID: https://orcid.org/0000-0002-0785-9964; Kunze, Sonja ORCID logoORCID: https://orcid.org/0000-0002-9685-2675; Kumbrink, Jörg; Hoeppner, Marc P. ORCID logoORCID: https://orcid.org/0000-0002-0279-2270; Kalkbrenner, Kathrin; Kreimeier, Simone ORCID logoORCID: https://orcid.org/0000-0002-4832-7833; Beyer, Kirsten ORCID logoORCID: https://orcid.org/0000-0003-1859-0419; Hamelmann, Eckard ORCID logoORCID: https://orcid.org/0000-0002-2996-8248; Kabesch, Michael ORCID logoORCID: https://orcid.org/0000-0003-0697-1871; Depner, Martin; Hansen, Gesine ORCID logoORCID: https://orcid.org/0000-0001-5185-9454; Riedler, Josef; Roponen, Marjut ORCID logoORCID: https://orcid.org/0000-0002-4442-9090; Schmausser‐Hechfellner, Elisabeth ORCID logoORCID: https://orcid.org/0000-0002-2317-3313; Barnig, Cindy ORCID logoORCID: https://orcid.org/0000-0001-8890-3236; Divaret‐Chauveau, Amandine ORCID logoORCID: https://orcid.org/0000-0002-2492-9864; Karvonen, Anne M. ORCID logoORCID: https://orcid.org/0000-0003-2257-2934; Pekkanen, Juha ORCID logoORCID: https://orcid.org/0000-0002-1083-8777; Frei, Remo; Roduit, Caroline ORCID logoORCID: https://orcid.org/0000-0002-5988-0570; Lauener, Roger ORCID logoORCID: https://orcid.org/0000-0002-8412-606X und Schaub, Bianca ORCID logoORCID: https://orcid.org/0000-0003-1652-8873 (2024): An integrated molecular risk score early in life for subsequent childhood asthma risk. In: Clinical & Experimental Allergy, Bd. 54, Nr. 5: S. 314-328 [PDF, 2MB]

Abstract

Background Numerous children present with early wheeze symptoms, yet solely a subgroup develops childhood asthma. Early identification of children at risk is key for clinical monitoring, timely patient-tailored treatment, and preventing chronic, severe sequelae. For early prediction of childhood asthma, we aimed to define an integrated risk score combining established risk factors with genome-wide molecular markers at birth, complemented by subsequent clinical symptoms/diagnoses (wheezing, atopic dermatitis, food allergy).

Methods Three longitudinal birth cohorts (PAULINA/PAULCHEN, n = 190 + 93 = 283, PASTURE, n = 1133) were used to predict childhood asthma (age 5–11) including epidemiological characteristics and molecular markers: genotype, DNA methylation and mRNA expression (RNASeq/NanoString). Apparent (ap) and optimism-corrected (oc) performance (AUC/R2) was assessed leveraging evidence from independent studies (Naïve-Bayes approach) combined with high-dimensional logistic regression models (LASSO).

Results Asthma prediction with epidemiological characteristics at birth (maternal asthma, sex, farm environment) yielded an ocAUC = 0.65. Inclusion of molecular markers as predictors resulted in an improvement in apparent prediction performance, however, for optimism-corrected performance only a moderate increase was observed (upto ocAUC = 0.68). The greatest discriminate power was reached by adding the first symptoms/diagnosis (up to ocAUC = 0.76; increase of 0.08, p = .002). Longitudinal analysis of selected mRNA expression in PASTURE (cord blood, 1, 4.5, 6 years) showed that expression at age six had the strongest association with asthma and correlation of genes getting larger over time (r = .59, p < .001, 4.5–6 years).

Conclusion Applying epidemiological predictors alone showed moderate predictive abilities. Molecular markers from birth modestly improved prediction. Allergic symptoms/diagnoses enhanced the power of prediction, which is important for clinical practice and for the design of future studies with molecular markers.

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