TY - JOUR
T1 - Age-of-onset information helps identify 76 genetic variants associated with allergic disease
AU - Ferreira, Manuel A.R.
AU - Vonk, Judith M.
AU - Baurecht, Hansjörg
AU - Marenholz, Ingo
AU - Tian, Chao
AU - Hoffman, Joshua D.
AU - Helmer, Quinta
AU - Tillander, Annika
AU - Ullemar, Vilhelmina
AU - Lu, Yi
AU - Grosche, Sarah
AU - Rüschendorf, Franz
AU - Granell, Raquel
AU - Brumpton, Ben M.
AU - Fritsche, Lars G.
AU - Bhatta, Laxmi
AU - Gabrielsen, Maiken E.
AU - Nielsen, Jonas B.
AU - Zhou, Wei
AU - Hveem, Kristian
AU - Langhammer, Arnulf
AU - Holmen, Oddgeir L.
AU - Løset, Mari
AU - Abecasis, Gonçalo R.
AU - Willer, Cristen J.
AU - Emami, Nima C.
AU - Cavazos, Taylor B.
AU - Witte, John S.
AU - Szwajda, Agnieszka
AU - Hinds, David A.
AU - Hübner, Norbert
AU - Weidinger, Stephan
AU - Magnusson, Patrik Ke
AU - Jorgenson, Eric
AU - Karlsson, Robert
AU - Paternoster, Lavinia
AU - Boomsma, Dorret I.
AU - Almqvist, Catarina
AU - Lee, Young Ae
AU - Koppelman, Gerard H.
AU - 23Andme Research Team
AU - collaborators of the SHARE study
PY - 2020/6/30
Y1 - 2020/6/30
N2 - Risk factors that contribute to inter-individual differences in the age-of-onset of allergic diseases are poorly understood. The aim of this study was to identify genetic risk variants associated with the age at which symptoms of allergic disease first develop, considering information from asthma, hay fever and eczema. Self-reported age-of-onset information was available for 117,130 genotyped individuals of European ancestry from the UK Biobank study. For each individual, we identified the earliest age at which asthma, hay fever and/or eczema was first diagnosed and performed a genome-wide association study (GWAS) of this combined age-of-onset phenotype. We identified 50 variants with a significant independent association (P<3x10-8) with age-of-onset. Forty-five variants had comparable effects on the onset of the three individual diseases and 38 were also associated with allergic disease case-control status in an independent study (n = 222,484). We observed a strong negative genetic correlation between age-of-onset and case-control status of allergic disease (rg = -0.63, P = 4.5x10-61), indicating that cases with early disease onset have a greater burden of allergy risk alleles than those with late disease onset. Subsequently, a multivariate GWAS of age-of-onset and case-control status identified a further 26 associations that were missed by the univariate analyses of age-of-onset or case-control status only. Collectively, of the 76 variants identified, 18 represent novel associations for allergic disease. We identified 81 likely target genes of the 76 associated variants based on information from expression quantitative trait loci (eQTL) and non-synonymous variants, of which we highlight ADAM15, FOSL2, TRIM8, BMPR2, CD200R1, PRKCQ, NOD2, SMAD4, ABCA7 and UBE2L3. Our results support the notion that early and late onset allergic disease have partly distinct genetic architectures, potentially explaining known differences in pathophysiology between individuals.
AB - Risk factors that contribute to inter-individual differences in the age-of-onset of allergic diseases are poorly understood. The aim of this study was to identify genetic risk variants associated with the age at which symptoms of allergic disease first develop, considering information from asthma, hay fever and eczema. Self-reported age-of-onset information was available for 117,130 genotyped individuals of European ancestry from the UK Biobank study. For each individual, we identified the earliest age at which asthma, hay fever and/or eczema was first diagnosed and performed a genome-wide association study (GWAS) of this combined age-of-onset phenotype. We identified 50 variants with a significant independent association (P<3x10-8) with age-of-onset. Forty-five variants had comparable effects on the onset of the three individual diseases and 38 were also associated with allergic disease case-control status in an independent study (n = 222,484). We observed a strong negative genetic correlation between age-of-onset and case-control status of allergic disease (rg = -0.63, P = 4.5x10-61), indicating that cases with early disease onset have a greater burden of allergy risk alleles than those with late disease onset. Subsequently, a multivariate GWAS of age-of-onset and case-control status identified a further 26 associations that were missed by the univariate analyses of age-of-onset or case-control status only. Collectively, of the 76 variants identified, 18 represent novel associations for allergic disease. We identified 81 likely target genes of the 76 associated variants based on information from expression quantitative trait loci (eQTL) and non-synonymous variants, of which we highlight ADAM15, FOSL2, TRIM8, BMPR2, CD200R1, PRKCQ, NOD2, SMAD4, ABCA7 and UBE2L3. Our results support the notion that early and late onset allergic disease have partly distinct genetic architectures, potentially explaining known differences in pathophysiology between individuals.
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U2 - 10.1371/journal.pgen.1008725
DO - 10.1371/journal.pgen.1008725
M3 - Article
C2 - 32603359
SN - 1553-7390
VL - 16
SP - 1
EP - 30
JO - PLoS Genetics
JF - PLoS Genetics
IS - 6
M1 - e1008725
ER -