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The QChip1 knowledgebase and microarray for precision medicine in Qatar
Risk genes for Mendelian (single-gene) disorders (SGDs) are consistent across populations, but pathogenic risk variants that cause SGDs are typically population-private. The goal was to develop “QChip1,” an inexpensive genotyping microarray to comprehensively screen newborns, couples, and patients f...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770564/ https://www.ncbi.nlm.nih.gov/pubmed/35046417 http://dx.doi.org/10.1038/s41525-021-00270-0 |
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author | Rodriguez-Flores, Juan L. Messai-Badji, Radja Robay, Amal Temanni, Ramzi Syed, Najeeb Markovic, Monika Al-khayat, Eiman Qafoud, Fatima Nawaz, Zafar Badii, Ramin Al-Sarraj, Yasser Mbarek, Hamdi Al-Muftah, Wadha Alvi, Muhammad Rostami, Mahboubeh R. Cruzado, Juan Carlos Martinez Mezey, Jason G. Shakaki, Alya Al Malek, Joel A. Greenblatt, Matthew B. Fakhro, Khalid A. Machaca, Khaled Al-Nabet, Ajayeb Afifi, Nahla Brooks, Andrew Ismail, Said I. Althani, Asmaa Crystal, Ronald G. |
author_facet | Rodriguez-Flores, Juan L. Messai-Badji, Radja Robay, Amal Temanni, Ramzi Syed, Najeeb Markovic, Monika Al-khayat, Eiman Qafoud, Fatima Nawaz, Zafar Badii, Ramin Al-Sarraj, Yasser Mbarek, Hamdi Al-Muftah, Wadha Alvi, Muhammad Rostami, Mahboubeh R. Cruzado, Juan Carlos Martinez Mezey, Jason G. Shakaki, Alya Al Malek, Joel A. Greenblatt, Matthew B. Fakhro, Khalid A. Machaca, Khaled Al-Nabet, Ajayeb Afifi, Nahla Brooks, Andrew Ismail, Said I. Althani, Asmaa Crystal, Ronald G. |
author_sort | Rodriguez-Flores, Juan L. |
collection | PubMed |
description | Risk genes for Mendelian (single-gene) disorders (SGDs) are consistent across populations, but pathogenic risk variants that cause SGDs are typically population-private. The goal was to develop “QChip1,” an inexpensive genotyping microarray to comprehensively screen newborns, couples, and patients for SGD risk variants in Qatar, a small nation on the Arabian Peninsula with a high degree of consanguinity. Over 10(8) variants in 8445 Qatari were identified for inclusion in a genotyping array containing 165,695 probes for 83,542 known and potentially pathogenic variants in 3438 SGDs. QChip1 had a concordance with whole-genome sequencing of 99.1%. Testing of QChip1 with 2707 Qatari genomes identified 32,674 risk variants, an average of 134 pathogenic alleles per Qatari genome. The most common pathogenic variants were those causing homocystinuria (1.12% risk allele frequency), and Stargardt disease (2.07%). The majority (85%) of Qatari SGD pathogenic variants were not present in Western populations such as European American, South Asian American, and African American in New York City and European and Afro-Caribbean in Puerto Rico; and only 50% were observed in a broad collection of data across the Greater Middle East including Kuwait, Iran, and United Arab Emirates. This study demonstrates the feasibility of developing accurate screening tools to identify SGD risk variants in understudied populations, and the need for ancestry-specific SGD screening tools. |
format | Online Article Text |
id | pubmed-8770564 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87705642022-02-04 The QChip1 knowledgebase and microarray for precision medicine in Qatar Rodriguez-Flores, Juan L. Messai-Badji, Radja Robay, Amal Temanni, Ramzi Syed, Najeeb Markovic, Monika Al-khayat, Eiman Qafoud, Fatima Nawaz, Zafar Badii, Ramin Al-Sarraj, Yasser Mbarek, Hamdi Al-Muftah, Wadha Alvi, Muhammad Rostami, Mahboubeh R. Cruzado, Juan Carlos Martinez Mezey, Jason G. Shakaki, Alya Al Malek, Joel A. Greenblatt, Matthew B. Fakhro, Khalid A. Machaca, Khaled Al-Nabet, Ajayeb Afifi, Nahla Brooks, Andrew Ismail, Said I. Althani, Asmaa Crystal, Ronald G. NPJ Genom Med Article Risk genes for Mendelian (single-gene) disorders (SGDs) are consistent across populations, but pathogenic risk variants that cause SGDs are typically population-private. The goal was to develop “QChip1,” an inexpensive genotyping microarray to comprehensively screen newborns, couples, and patients for SGD risk variants in Qatar, a small nation on the Arabian Peninsula with a high degree of consanguinity. Over 10(8) variants in 8445 Qatari were identified for inclusion in a genotyping array containing 165,695 probes for 83,542 known and potentially pathogenic variants in 3438 SGDs. QChip1 had a concordance with whole-genome sequencing of 99.1%. Testing of QChip1 with 2707 Qatari genomes identified 32,674 risk variants, an average of 134 pathogenic alleles per Qatari genome. The most common pathogenic variants were those causing homocystinuria (1.12% risk allele frequency), and Stargardt disease (2.07%). The majority (85%) of Qatari SGD pathogenic variants were not present in Western populations such as European American, South Asian American, and African American in New York City and European and Afro-Caribbean in Puerto Rico; and only 50% were observed in a broad collection of data across the Greater Middle East including Kuwait, Iran, and United Arab Emirates. This study demonstrates the feasibility of developing accurate screening tools to identify SGD risk variants in understudied populations, and the need for ancestry-specific SGD screening tools. Nature Publishing Group UK 2022-01-19 /pmc/articles/PMC8770564/ /pubmed/35046417 http://dx.doi.org/10.1038/s41525-021-00270-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Rodriguez-Flores, Juan L. Messai-Badji, Radja Robay, Amal Temanni, Ramzi Syed, Najeeb Markovic, Monika Al-khayat, Eiman Qafoud, Fatima Nawaz, Zafar Badii, Ramin Al-Sarraj, Yasser Mbarek, Hamdi Al-Muftah, Wadha Alvi, Muhammad Rostami, Mahboubeh R. Cruzado, Juan Carlos Martinez Mezey, Jason G. Shakaki, Alya Al Malek, Joel A. Greenblatt, Matthew B. Fakhro, Khalid A. Machaca, Khaled Al-Nabet, Ajayeb Afifi, Nahla Brooks, Andrew Ismail, Said I. Althani, Asmaa Crystal, Ronald G. The QChip1 knowledgebase and microarray for precision medicine in Qatar |
title | The QChip1 knowledgebase and microarray for precision medicine in Qatar |
title_full | The QChip1 knowledgebase and microarray for precision medicine in Qatar |
title_fullStr | The QChip1 knowledgebase and microarray for precision medicine in Qatar |
title_full_unstemmed | The QChip1 knowledgebase and microarray for precision medicine in Qatar |
title_short | The QChip1 knowledgebase and microarray for precision medicine in Qatar |
title_sort | qchip1 knowledgebase and microarray for precision medicine in qatar |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770564/ https://www.ncbi.nlm.nih.gov/pubmed/35046417 http://dx.doi.org/10.1038/s41525-021-00270-0 |
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