Differences and commonalities in the genetic architecture of protein quantitative trait loci in European and Arab populations

Author:

Thareja Gaurav12,Belkadi Aziz12,Arnold Matthias34,Albagha Omar M E56,Graumann Johannes7,Schmidt Frank8,Grallert Harald91011,Peters Annette9111213,Gieger Christian91011,Consortium The Qatar Genome Program Research12,Suhre Karsten12ORCID

Affiliation:

1. Weill Cornell Medicine-Qatar, Education City Bioinformatics Core, , 24144 Doha , Qatar

2. Weill Cornell Medicine Department of Biophysics and Physiology, , NY 10065, New York , USA

3. Helmholtz Zentrum München, German Research Center for Environmental Health Institute of Computational Biology, , Ingolstädter Landstraße 1, Neuherberg 85764 , Germany

4. Duke University Department of Psychiatry and Behavioral Sciences, , NC 27710 , USA

5. Hamad Bin Khalifa University College of Health and Life Sciences, , 34110 Doha , Qatar

6. University of Edinburgh Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, , EH4 2XU, Edinburgh , UK

7. Philipps-Universität Marburg Institute of Translational Proteomics, Department of Medicine, , Marburg , Germany

8. Weill Cornell Medicine-Qatar, Education City Proteomics Core, , 24144 Doha , Qatar

9. Helmholtz Zentrum München, German Research Center for Environmental Health Research Unit of Molecular Epidemiology, , Ingolstädter Landstraße 1, Neuherberg 85764 , Germany

10. Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health , Ingolstädter Landstraße 1, Neuherberg 85764 , Germany

11. German Center for Diabetes Research (DZD) , Ingolstädter Landstraße 1, Neuherberg 85764 , Germany

12. German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance , Munich, Germany

13. Department of Epidemiology, Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilians-University Munich , 81377 Munich , Germany

Abstract

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.

Funder

Bavarian State Ministry of Education, Science and the Arts

National Institutes of Health

Qatar National Research Fund

Publisher

Oxford University Press (OUP)

Subject

Genetics (clinical),Genetics,Molecular Biology,General Medicine

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