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Differences and commonalities in the genetic architecture of protein quantitative trait loci in European and Arab populations.
Thareja, Gaurav; Belkadi, Aziz; Arnold, Matthias; Albagha, Omar M E; Graumann, Johannes; Schmidt, Frank; Grallert, Harald; Peters, Annette; Gieger, Christian; Consortium, The Qatar Genome Program Research; Suhre, Karsten.
Afiliação
  • Thareja G; Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, 24144 Doha, Qatar.
  • Belkadi A; Department of Biophysics and Physiology, Weill Cornell Medicine, NY 10065, New York, USA.
  • Arnold M; Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, 24144 Doha, Qatar.
  • Albagha OME; Department of Biophysics and Physiology, Weill Cornell Medicine, NY 10065, New York, USA.
  • Graumann J; Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, Neuherberg 85764, Germany.
  • Schmidt F; Department of Psychiatry and Behavioral Sciences, Duke University, NC 27710, USA.
  • Grallert H; College of Health and Life Sciences, Hamad Bin Khalifa University, 34110 Doha, Qatar.
  • Peters A; Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, EH4 2XU, Edinburgh, UK.
  • Gieger C; Institute of Translational Proteomics, Department of Medicine, Philipps-Universität Marburg, Marburg, Germany.
  • Consortium TQGPR; Proteomics Core, Weill Cornell Medicine-Qatar, Education City, 24144 Doha, Qatar.
  • Suhre K; Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, Neuherberg 85764, Germany.
Hum Mol Genet ; 32(6): 907-916, 2023 03 06.
Article em En | MEDLINE | ID: mdl-36168886
ABSTRACT
Polygenic scores (PGS) can identify individuals at risk of adverse health events and guide genetics-based personalized medicine. However, it is not clear how well PGS translate between different populations, limiting their application to well-studied ethnicities. Proteins are intermediate traits linking genetic predisposition and environmental factors to disease, with numerous blood circulating protein levels representing functional readouts of disease-related processes. We hypothesized that studying the genetic architecture of a comprehensive set of blood-circulating proteins between a European and an Arab population could shed fresh light on the translatability of PGS to understudied populations. We therefore conducted a genome-wide association study with whole-genome sequencing data using 1301 proteins measured on the SOMAscan aptamer-based affinity proteomics platform in 2935 samples of Qatar Biobank and evaluated the replication of protein quantitative traits (pQTLs) from European studies in an Arab population. Then, we investigated the colocalization of shared pQTL signals between the two populations. Finally, we compared the performance of protein PGS derived from a Caucasian population in a European and an Arab cohort. We found that the majority of shared pQTL signals (81.8%) colocalized between both populations. About one-third of the genetic protein heritability was explained by protein PGS derived from a European cohort, with protein PGS performing ~20% better in Europeans when compared to Arabs. Our results are relevant for the translation of PGS to non-Caucasian populations, as well as for future efforts to extend genetic research to understudied populations.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Árabes / Locos de Características Quantitativas / População Branca Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Hum Mol Genet Assunto da revista: BIOLOGIA MOLECULAR / GENETICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Qatar

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Árabes / Locos de Características Quantitativas / População Branca Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Hum Mol Genet Assunto da revista: BIOLOGIA MOLECULAR / GENETICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Qatar