FUT2-ABO epistasis increases the risk of early childhood asthma and Streptococcus pneumoniae respiratory illnesses.
Tarunveer Singh AhluwaliaAnders U EliasenAstrid SevelstedCasper-Emil Tingskov PedersenJessica Lasky-SuBo Lund ChawesJette Bork-JensenNiels GrarupOluf PedersenTorben HansenAllan LinnebergAmitabh SharmaScott T WeissMichael D EvansDaniel J JacksonAndreanne MorinKaren Angeliki KrogfeltSusanne SchjørringPreben B MortensenDavid Michael HougaardJonas Byberg-GrauholmMarie Bækvad-HansenOle MorsMerete NordentoftAnders Dupont BørglumThomas M WergeEsben AgerboJames E GernRobert F LemanskeCarole OberAnders Gorm PedersenHans BisgaardKlaus BønnelykkePublished in: Nature communications (2020)
Asthma with severe exacerbation is the most common cause of hospitalization among young children. We aim to increase the understanding of this clinically important disease entity through a genome-wide association study. The discovery analysis comprises 2866 children experiencing severe asthma exacerbation between ages 2 and 6 years, and 65,415 non-asthmatic controls, and we replicate findings in 918 children from the Copenhagen Prospective Studies on Asthma in Childhood (COPSAC) birth cohorts. We identify rs281379 near FUT2/MAMSTR on chromosome 19 as a novel risk locus (OR = 1.18 (95% CI = 1.11-1.25), Pdiscovery = 2.6 × 10-9) as well as a biologically plausible interaction between functional variants in FUT2 and ABO. We further discover and replicate a potential causal mechanism behind this interaction related to S. pneumoniae respiratory illnesses. These results suggest a novel mechanism of early childhood asthma and demonstrates the importance of phenotype-specificity for discovery of asthma genes and epistasis.
Keyphrases
- chronic obstructive pulmonary disease
- lung function
- allergic rhinitis
- genome wide association study
- young adults
- small molecule
- cystic fibrosis
- high throughput
- copy number
- air pollution
- genome wide
- early onset
- pregnant women
- gene expression
- respiratory tract
- climate change
- dna methylation
- human health
- single cell
- bioinformatics analysis
- mechanical ventilation