Your browser doesn't support javascript.
loading
Multiancestral polygenic risk score for pediatric asthma.
Namjou, Bahram; Lape, Michael; Malolepsza, Edyta; DeVore, Stanley B; Weirauch, Matthew T; Dikilitas, Ozan; Jarvik, Gail P; Kiryluk, Krzysztof; Kullo, Iftikhar J; Liu, Cong; Luo, Yuan; Satterfield, Benjamin A; Smoller, Jordan W; Walunas, Theresa L; Connolly, John; Sleiman, Patrick; Mersha, Tesfaye B; Mentch, Frank D; Hakonarson, Hakon; Prows, Cynthia A; Biagini, Jocelyn M; Khurana Hershey, Gurjit K; Martin, Lisa J; Kottyan, Leah.
Afiliación
  • Namjou B; Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio.
  • Lape M; Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
  • Malolepsza E; Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Mass.
  • DeVore SB; Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio; Division of Asthma Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
  • Weirauch MT; Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
  • Dikilitas O; Department of Internal Medicine, Mayo Clinic, Rochester, Minn; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minn.
  • Jarvik GP; Division of Medical Genetics, Department of Medicine, University of Washington Medical Center, Seattle, Wash; Department of Genome Sciences, University of Washington Medical Center, Seattle, Wash.
  • Kiryluk K; Division of Nephrology, Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, NY.
  • Kullo IJ; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minn.
  • Liu C; Department of Biomedical Informatics, Columbia University, New York, NY.
  • Luo Y; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Ill.
  • Satterfield BA; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minn.
  • Smoller JW; Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genomic Medicine, Massachusetts General Hospital, Boston, Mass; Stanley Center for Psychiatric Research, Harvard University, Cambridge, Mass; Department of Psychiatry, Harvard Medical School, Boston, Mass.
  • Walunas TL; Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Ill.
  • Connolly J; Center for Applied Genomics, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pa.
  • Sleiman P; Center for Applied Genomics, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pa; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa.
  • Mersha TB; Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio; Division of Asthma Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
  • Mentch FD; Center for Applied Genomics, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pa.
  • Hakonarson H; Center for Applied Genomics, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pa; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa.
  • Prows CA; Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio; Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Department of Patient Services, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
  • Biagini JM; Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio; Division of Asthma Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
  • Khurana Hershey GK; Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio; Division of Asthma Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Division of Allergy and Immunology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
  • Martin LJ; Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio; Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
  • Kottyan L; Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio; Division of Allergy and Immunology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
J Allergy Clin Immunol ; 150(5): 1086-1096, 2022 Nov.
Article en En | MEDLINE | ID: mdl-35595084
BACKGROUND: Asthma is the most common chronic condition in children and the third leading cause of hospitalization in pediatrics. The genome-wide association study catalog reports 140 studies with genome-wide significance. A polygenic risk score (PRS) with predictive value across ancestries has not been evaluated for this important trait. OBJECTIVES: This study aimed to train and validate a PRS relying on genetic determinants for asthma to provide predictions for disease occurrence in pediatric cohorts of diverse ancestries. METHODS: This study applied a Bayesian regression framework method using the Trans-National Asthma Genetic Consortium genome-wide association study summary statistics to derive a multiancestral PRS score, used one Electronic Medical Records and Genomics (eMERGE) cohort as a training set, used a second independent eMERGE cohort to validate the score, and used the UK Biobank data to replicate the findings. A phenome-wide association study was performed using the PRS to identify shared genetic etiology with other phenotypes. RESULTS: The multiancestral asthma PRS was associated with asthma in the 2 pediatric validation datasets. Overall, the multiancestral asthma PRS has an area under the curve (AUC) of 0.70 (95% CI, 0.69-0.72) in the pediatric validation 1 and AUC of 0.66 (0.65-0.66) in the pediatric validation 2 datasets. We found significant discrimination across pediatric subcohorts of European (AUC, 95% CI, 0.60 and 0.66), African (AUC, 95% CI, 0.61 and 0.66), admixed American (AUC, 0.64 and 0.70), Southeast Asian (AUC, 0.65), and East Asian (AUC, 0.73) ancestry. Pediatric participants with the top 5% PRS had 2.80 to 5.82 increased odds of asthma compared to the bottom 5% across the training, validation 1, and validation 2 cohorts when adjusted for ancestry. Phenome-wide association study analysis confirmed the strong association of the identified PRS with asthma (odds ratio, 2.71, PFDR = 3.71 × 10-65) and related phenotypes. CONCLUSIONS: A multiancestral PRS for asthma based on Bayesian posterior genomic effect sizes identifies increased odds of pediatric asthma.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Asma / Estudio de Asociación del Genoma Completo Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Child / Humans Idioma: En Revista: J Allergy Clin Immunol Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Asma / Estudio de Asociación del Genoma Completo Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Child / Humans Idioma: En Revista: J Allergy Clin Immunol Año: 2022 Tipo del documento: Article