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The Qatar genome: a population-specific tool for precision medicine in the Middle East.
Fakhro, Khalid A; Staudt, Michelle R; Ramstetter, Monica Denise; Robay, Amal; Malek, Joel A; Badii, Ramin; Al-Marri, Ajayeb Al-Nabet; Abi Khalil, Charbel; Al-Shakaki, Alya; Chidiac, Omar; Stadler, Dora; Zirie, Mahmoud; Jayyousi, Amin; Salit, Jacqueline; Mezey, Jason G; Crystal, Ronald G; Rodriguez-Flores, Juan L.
Afiliação
  • Fakhro KA; Sidra Medical and Research Center, Doha, Qatar; Department of Genetic Medicine, Weill Cornell Medical College in Qatar, Doha, Qatar.
  • Staudt MR; Department of Genetic Medicine, Weill Cornell Medical College , New York, NY, USA.
  • Ramstetter MD; Department of Genetic Medicine, Weill Cornell Medical College , New York, NY, USA.
  • Robay A; Department of Genetic Medicine, Weill Cornell Medical College in Qatar , Doha, Qatar.
  • Malek JA; Department of Genetic Medicine, Weill Cornell Medical College in Qatar , Doha, Qatar.
  • Badii R; Laboratory Medicine and Pathology, Hamad Medical Corporation , Doha, Qatar.
  • Al-Marri AA; Laboratory Medicine and Pathology, Hamad Medical Corporation , Doha, Qatar.
  • Abi Khalil C; Department of Genetic Medicine, Weill Cornell Medical College in Qatar , Doha, Qatar.
  • Al-Shakaki A; Department of Genetic Medicine, Weill Cornell Medical College in Qatar , Doha, Qatar.
  • Chidiac O; Department of Genetic Medicine, Weill Cornell Medical College in Qatar , Doha, Qatar.
  • Stadler D; Weill Cornell Medical College in Qatar , Doha, Qatar.
  • Zirie M; Department of Medicine, Hamad Medical Corporation , Doha, Qatar.
  • Jayyousi A; Department of Medicine, Hamad Medical Corporation , Doha, Qatar.
  • Salit J; Department of Genetic Medicine, Weill Cornell Medical College , New York, NY, USA.
  • Mezey JG; Department of Genetic Medicine, Weill Cornell Medical College, New York, NY, USA; Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY, USA.
  • Crystal RG; Department of Genetic Medicine, Weill Cornell Medical College , New York, NY, USA.
  • Rodriguez-Flores JL; Department of Genetic Medicine, Weill Cornell Medical College , New York, NY, USA.
Hum Genome Var ; 3: 16016, 2016.
Article em En | MEDLINE | ID: mdl-27408750
ABSTRACT
Reaching the full potential of precision medicine depends on the quality of personalized genome interpretation. In order to facilitate precision medicine in regions of the Middle East and North Africa (MENA), a population-specific genome for the indigenous Arab population of Qatar (QTRG) was constructed by incorporating allele frequency data from sequencing of 1,161 Qataris, representing 0.4% of the population. A total of 20.9 million single nucleotide polymorphisms (SNPs) and 3.1 million indels were observed in Qatar, including an average of 1.79% novel variants per individual genome. Replacement of the GRCh37 standard reference with QTRG in a best practices genome analysis workflow resulted in an average of 7* deeper coverage depth (an improvement of 23%) and 756,671 fewer variants on average, a reduction of 16% that is attributed to common Qatari alleles being present in QTRG. The benefit for using QTRG varies across ancestries, a factor that should be taken into consideration when selecting an appropriate reference for analysis.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: Hum Genome Var Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Qatar

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: Hum Genome Var Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Qatar