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The Qatar genome: a population-specific tool for precision medicine in the Middle East
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 constru...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4927697/ https://www.ncbi.nlm.nih.gov/pubmed/27408750 http://dx.doi.org/10.1038/hgv.2016.16 |
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author | 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 |
author_facet | 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 |
author_sort | Fakhro, Khalid A |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4927697 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49276972016-07-12 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 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 Hum Genome Var Article 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. Nature Publishing Group 2016-06-30 /pmc/articles/PMC4927697/ /pubmed/27408750 http://dx.doi.org/10.1038/hgv.2016.16 Text en Copyright © 2016 Official journal of the Japan Society of Human Genetics http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | Article 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 The Qatar genome: a population-specific tool for precision medicine in the Middle East |
title | The Qatar genome: a population-specific tool for precision medicine in the Middle East |
title_full | The Qatar genome: a population-specific tool for precision medicine in the Middle East |
title_fullStr | The Qatar genome: a population-specific tool for precision medicine in the Middle East |
title_full_unstemmed | The Qatar genome: a population-specific tool for precision medicine in the Middle East |
title_short | The Qatar genome: a population-specific tool for precision medicine in the Middle East |
title_sort | qatar genome: a population-specific tool for precision medicine in the middle east |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4927697/ https://www.ncbi.nlm.nih.gov/pubmed/27408750 http://dx.doi.org/10.1038/hgv.2016.16 |
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