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Differences and commonalities in the genetic architecture of protein quantitative trait loci in European and Arab populations
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 lin...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990988/ https://www.ncbi.nlm.nih.gov/pubmed/36168886 http://dx.doi.org/10.1093/hmg/ddac243 |
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author | 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 |
author_facet | 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 |
author_sort | Thareja, Gaurav |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9990988 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-99909882023-03-08 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 Hum Mol Genet Original Article 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. Oxford University Press 2022-09-29 /pmc/articles/PMC9990988/ /pubmed/36168886 http://dx.doi.org/10.1093/hmg/ddac243 Text en © The Author(s) 2022. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Article 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 Differences and commonalities in the genetic architecture of protein quantitative trait loci in European and Arab populations |
title | Differences and commonalities in the genetic architecture of protein quantitative trait loci in European and Arab populations |
title_full | Differences and commonalities in the genetic architecture of protein quantitative trait loci in European and Arab populations |
title_fullStr | Differences and commonalities in the genetic architecture of protein quantitative trait loci in European and Arab populations |
title_full_unstemmed | Differences and commonalities in the genetic architecture of protein quantitative trait loci in European and Arab populations |
title_short | Differences and commonalities in the genetic architecture of protein quantitative trait loci in European and Arab populations |
title_sort | differences and commonalities in the genetic architecture of protein quantitative trait loci in european and arab populations |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990988/ https://www.ncbi.nlm.nih.gov/pubmed/36168886 http://dx.doi.org/10.1093/hmg/ddac243 |
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