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Imputation Server PGS: an automated approach to calculate polygenic risk scores on imputation servers.
Forer, Lukas; Taliun, Daniel; LeFaive, Jonathon; Smith, Albert V; Boughton, Andrew P; Coassin, Stefan; Lamina, Claudia; Kronenberg, Florian; Fuchsberger, Christian; Schönherr, Sebastian.
Afiliación
  • Forer L; Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.
  • Taliun D; Canada Excellence Research Chair in Genomic Medicine, McGill University, Montreal, Québec, Canada.
  • LeFaive J; Department of Human Genetics, Faculty of Medicine and Health Sciences, McGill University, Montréal, Québec, Canada.
  • Smith AV; Department of Biostatistics and the Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
  • Boughton AP; Department of Biostatistics and the Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
  • Coassin S; Department of Biostatistics and the Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
  • Lamina C; Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.
  • Kronenberg F; Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.
  • Fuchsberger C; Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.
  • Schönherr S; Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.
Nucleic Acids Res ; 52(W1): W70-W77, 2024 Jul 05.
Article en En | MEDLINE | ID: mdl-38709879
ABSTRACT
Polygenic scores (PGS) enable the prediction of genetic predisposition for a wide range of traits and diseases by calculating the weighted sum of allele dosages for genetic variants associated with the trait or disease in question. Present approaches for calculating PGS from genotypes are often inefficient and labor-intensive, limiting transferability into clinical applications. Here, we present 'Imputation Server PGS', an extension of the Michigan Imputation Server designed to automate a standardized calculation of polygenic scores based on imputed genotypes. This extends the widely used Michigan Imputation Server with new functionality, bringing the simplicity and efficiency of modern imputation to the PGS field. The service currently supports over 4489 published polygenic scores from publicly available repositories and provides extensive quality control, including ancestry estimation to report population stratification. An interactive report empowers users to screen and compare thousands of scores in a fast and intuitive way. Imputation Server PGS provides a user-friendly web service, facilitating the application of polygenic scores to a wide range of genetic studies and is freely available at https//imputationserver.sph.umich.edu.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Predisposición Genética a la Enfermedad / Herencia Multifactorial Límite: Humans Idioma: En Revista: Nucleic Acids Res Año: 2024 Tipo del documento: Article País de afiliación: Austria

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Predisposición Genética a la Enfermedad / Herencia Multifactorial Límite: Humans Idioma: En Revista: Nucleic Acids Res Año: 2024 Tipo del documento: Article País de afiliación: Austria