The Qatar Genome: A Population-Specific Tool for Precision Medicine in the Middle East
Autor: | Fakhro, Khalid A., Staudt, Michelle R., Ramstetter, Monica Denise, Robay, Amal, Malek, Joel A., Badii, Ramin, Al-Marri, Ajayeb Al-Nabet, Khalil, Charbel Abi, Al-Shakaki, Alya, Chidiac, Omar, Stadler, Dora, Zirie, Mahmoud, Jayyousi, Amin, Salit, Jacqueline, Mezey, Jason G., Crystal, Ronald G., Rodriguez-Flores, Juan L. |
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Rok vydání: | 2018 |
Předmět: | |
Zdroj: | Hum Genome Var. 2016 Jun 30;3:16016 |
Druh dokumentu: | Working Paper |
DOI: | 10.1038/hgv.2016.16 |
Popis: | 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 reference genome for the indigenous Arab popula-tion 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 SNP and 3.1 million indels were observed in Qatar, including an average of 1.79% novel variants per individual ge-nome. 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 the QTRG reference. The benefit for using QTRG varies across ances-tries, a factor that should be taken into consideration when selecting an appropriate reference for analysis. Comment: Includes supplementary figures missing from publisher website |
Databáze: | arXiv |
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