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Whole genome sequencing in the Middle Eastern Qatari population identifies genetic associations with 45 clinically relevant traits.
Thareja, Gaurav; Al-Sarraj, Yasser; Belkadi, Aziz; Almotawa, Maryam; Suhre, Karsten; Albagha, Omar M E.
Affiliation
  • Thareja G; Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar.
  • Al-Sarraj Y; College of Health and Life Sciences, Hamad Bin Khalifa University, Education City, Doha, Qatar.
  • Belkadi A; Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University, Doha, Qatar.
  • Almotawa M; Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar.
  • Suhre K; College of Health and Life Sciences, Hamad Bin Khalifa University, Education City, Doha, Qatar.
  • Albagha OME; Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University, Doha, Qatar.
Nat Commun ; 12(1): 1250, 2021 02 23.
Article in En | MEDLINE | ID: mdl-33623009
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.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Genome, Human / Sequence Analysis, DNA / Quantitative Trait, Heritable / Genome-Wide Association Study / Genetics, Population Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2021 Type: Article Affiliation country: Qatar

Full text: 1 Database: MEDLINE Main subject: Genome, Human / Sequence Analysis, DNA / Quantitative Trait, Heritable / Genome-Wide Association Study / Genetics, Population Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2021 Type: Article Affiliation country: Qatar