Integration of Genomic Risk Scores to Improve the Prediction of Childhood Asthma Diagnosis.

ABSTRACT: Genome-wide and epigenome-wide association studies have identified genetic variants and differentially methylated nucleotides associated with childhood asthma. Incorporation of such genomic data may improve performance of childhood asthma prediction models which use phenotypic and environmental data. Using genome-wide genotype and methylation data at birth from the Isle of Wight Birth Cohort (n = 1456), a polygenic risk score (PRS), and newborn (nMRS) and childhood (cMRS) methylation risk scores, were developed to predict childhood asthma diagnosis. Each risk score was integrated with two previously published childhood asthma prediction models (CAPE and CAPP) and were validated in the Manchester Asthma and Allergy Study. Individually, the genomic risk scores demonstrated modest-to-m

SUBMITTER: Kothalawala DM 

PROVIDER: S-EPMC8777841 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature