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Polygenic transcriptome risk scores (PTRS) can improve portability of polygenic risk scores across ancestries.
Liang, Yanyu; Pividori, Milton; Manichaikul, Ani; Palmer, Abraham A; Cox, Nancy J; Wheeler, Heather E; Im, Hae Kyung.
Afiliação
  • Liang Y; Section of Genetic Medicine, Department of Medicine, The University of Chicago, Chicago, IL, USA. yanyul@uchicago.edu.
  • Pividori M; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, PA, USA.
  • Manichaikul A; Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
  • Palmer AA; Department of Psychiatry, University of California San Diego, San Diego, CA, USA.
  • Cox NJ; Institute for Genomic Medicine, University of California San Diego, San Diego, CA, USA.
  • Wheeler HE; Vanderbilt Genetic Institute, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Im HK; Department of Biology, Loyola University Chicago, Chicago, IL, USA.
Genome Biol ; 23(1): 23, 2022 01 13.
Article em En | MEDLINE | ID: mdl-35027082
ABSTRACT

BACKGROUND:

Polygenic risk scores (PRS) are valuable to translate the results of genome-wide association studies (GWAS) into clinical practice. To date, most GWAS have been based on individuals of European-ancestry leading to poor performance in populations of non-European ancestry.

RESULTS:

We introduce the polygenic transcriptome risk score (PTRS), which is based on predicted transcript levels (rather than SNPs), and explore the portability of PTRS across populations using UK Biobank data.

CONCLUSIONS:

We show that PTRS has a significantly higher portability (Wilcoxon p=0.013) in the African-descent samples where the loss of performance is most acute with better performance than PRS when used in combination.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudo de Associação Genômica Ampla / Transcriptoma Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Genome Biol Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudo de Associação Genômica Ampla / Transcriptoma Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Genome Biol Ano de publicação: 2022 Tipo de documento: Article