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Whole genome sequencing in the Middle Eastern Qatari population identifies genetic associations with 45 clinically relevant traits

Author

Listed:
  • Gaurav Thareja

    (Weill Cornell Medicine-Qatar, Education City)

  • Yasser Al-Sarraj

    (Hamad Bin Khalifa University, Education City
    Hamad Bin Khalifa University)

  • Aziz Belkadi

    (Weill Cornell Medicine-Qatar, Education City
    Weill Cornell Medicine)

  • Maryam Almotawa

    (Hamad Bin Khalifa University, Education City
    Hamad Bin Khalifa University)

  • Karsten Suhre

    (Weill Cornell Medicine-Qatar, Education City
    Weill Cornell Medicine)

  • Omar M. E. Albagha

    (Hamad Bin Khalifa University, Education City
    Hamad Bin Khalifa University
    University of Edinburgh)

Abstract

Clinical laboratory tests play a pivotal role in medical decision making, but little is known about their genetic variability between populations. We report a genome-wide association study with 45 clinically relevant traits from the population of Qatar using a whole genome sequencing approach in a discovery set of 6218 individuals and replication in 7768 subjects. Trait heritability is more similar between Qatari and European populations (r = 0.81) than with Africans (r = 0.44). We identify 281 distinct variant-trait-associations at genome wide significance that replicate known associations. Allele frequencies for replicated loci show higher correlations with European (r = 0.94) than with African (r = 0.85) or Japanese (r = 0.80) populations. We find differences in linkage disequilibrium patterns and in effect sizes of the replicated loci compared to previous reports. We also report 17 novel and Qatari-predominate signals providing insights into the biological pathways regulating these traits. We observe that European-derived polygenic scores (PGS) have reduced predictive performance in the Qatari population which could have implications for the translation of PGS between populations and their future application in precision medicine.

Suggested Citation

  • Gaurav Thareja & Yasser Al-Sarraj & Aziz Belkadi & Maryam Almotawa & Karsten Suhre & Omar M. E. Albagha, 2021. "Whole genome sequencing in the Middle Eastern Qatari population identifies genetic associations with 45 clinically relevant traits," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21381-3
    DOI: 10.1038/s41467-021-21381-3
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    Cited by:

    1. Injeong Shim & Hiroyuki Kuwahara & NingNing Chen & Mais O. Hashem & Lama AlAbdi & Mohamed Abouelhoda & Hong-Hee Won & Pradeep Natarajan & Patrick T. Ellinor & Amit V. Khera & Xin Gao & Fowzan S. Alkur, 2023. "Clinical utility of polygenic scores for cardiometabolic disease in Arabs," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    2. Rozaimi Mohamad Razali & Juan Rodriguez-Flores & Mohammadmersad Ghorbani & Haroon Naeem & Waleed Aamer & Elbay Aliyev & Ali Jubran & Andrew G. Clark & Khalid A. Fakhro & Younes Mokrab, 2021. "Thousands of Qatari genomes inform human migration history and improve imputation of Arab haplotypes," Nature Communications, Nature, vol. 12(1), pages 1-16, December.

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