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Age-of-onset information helps identify 76 genetic variants associated with allergic disease.
Ferreira, Manuel A R; Vonk, Judith M; Baurecht, Hansjörg; Marenholz, Ingo; Tian, Chao; Hoffman, Joshua D; Helmer, Quinta; Tillander, Annika; Ullemar, Vilhelmina; Lu, Yi; Grosche, Sarah; Rüschendorf, Franz; Granell, Raquel; Brumpton, Ben M; Fritsche, Lars G; Bhatta, Laxmi; Gabrielsen, Maiken E; Nielsen, Jonas B; Zhou, Wei; Hveem, Kristian; Langhammer, Arnulf; Holmen, Oddgeir L; Løset, Mari; Abecasis, Gonçalo R; Willer, Cristen J; Emami, Nima C; Cavazos, Taylor B; Witte, John S; Szwajda, Agnieszka; Hinds, David A; Hübner, Norbert; Weidinger, Stephan; Magnusson, Patrik Ke; Jorgenson, Eric; Karlsson, Robert; Paternoster, Lavinia; Boomsma, Dorret I; Almqvist, Catarina; Lee, Young-Ae; Koppelman, Gerard H.
Afiliación
  • Ferreira MAR; Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Vonk JM; University of Groningen, University Medical Center Groningen, Epidemiology, Groningen Research Institute for Asthma and COPD, Groningen, the Netherlands.
  • Baurecht H; Department of Dermatology, Allergology and Venereology, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany.
  • Marenholz I; Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany.
  • Tian C; Max Delbrück Center (MDC) for Molecular Medicine, Berlin, Germany.
  • Hoffman JD; Clinic for Pediatric Allergy, Experimental and Clinical Research Center of Charité Universitätsmedizin Berlin and Max Delbrück Center, Berlin, Germany.
  • Helmer Q; 23andMe, Inc., Mountain View, California, United States of America.
  • Tillander A; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America.
  • Ullemar V; Department Biological Psychology, Netherlands Twin Register, Vrije University, Amsterdam, The Netherlands.
  • Lu Y; Department of Medical Epidemiology and Biostatistics and the Swedish Twin Registry, Karolinska Institutet, Stockholm, Sweden.
  • Grosche S; Department of Medical Epidemiology and Biostatistics and the Swedish Twin Registry, Karolinska Institutet, Stockholm, Sweden.
  • Rüschendorf F; Department of Medical Epidemiology and Biostatistics and the Swedish Twin Registry, Karolinska Institutet, Stockholm, Sweden.
  • Granell R; Max Delbrück Center (MDC) for Molecular Medicine, Berlin, Germany.
  • Brumpton BM; Clinic for Pediatric Allergy, Experimental and Clinical Research Center of Charité Universitätsmedizin Berlin and Max Delbrück Center, Berlin, Germany.
  • Fritsche LG; CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
  • Bhatta L; Max Delbrück Center (MDC) for Molecular Medicine, Berlin, Germany.
  • Gabrielsen ME; MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, United Kingdom.
  • Nielsen JB; MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, United Kingdom.
  • Zhou W; K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
  • Hveem K; Department of Thoracic Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.
  • Langhammer A; K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
  • Holmen OL; Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Løset M; K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
  • Abecasis GR; K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
  • Willer CJ; Department of Human Genetics, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Emami NC; Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Cavazos TB; Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Witte JS; K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
  • Szwajda A; The HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
  • Hinds DA; Department of Dermatology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.
  • Hübner N; K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
  • Weidinger S; Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Magnusson PK; Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Jorgenson E; Department of Human Genetics, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Karlsson R; Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Paternoster L; Program in Biological and Medical Informatics, University of California, San Francisco, San Francisco, California, United States of America.
  • Boomsma DI; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, United States of America.
  • Almqvist C; Program in Biological and Medical Informatics, University of California, San Francisco, San Francisco, California, United States of America.
  • Lee YA; Program in Biological and Medical Informatics, University of California, San Francisco, San Francisco, California, United States of America.
  • Koppelman GH; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, United States of America.
PLoS Genet ; 16(6): e1008725, 2020 06.
Article en En | MEDLINE | ID: mdl-32603359
ABSTRACT
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Asma / Rinitis Alérgica Estacional / Polimorfismo de Nucleótido Simple / Eccema Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Child / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS Genet Asunto de la revista: GENETICA Año: 2020 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Asma / Rinitis Alérgica Estacional / Polimorfismo de Nucleótido Simple / Eccema Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Child / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS Genet Asunto de la revista: GENETICA Año: 2020 Tipo del documento: Article País de afiliación: Australia
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