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Exome sequencing-based identification of novel type 2 diabetes risk allele loci in the Qatari population
BACKGROUND: Type 2 diabetes (T2D) susceptibility is influenced by genetic and lifestyle factors. To date, the majority of genetic studies of T2D have been in populations of European and Asian descent. The focus of this study is on genetic variations underlying T2D in Qataris, a population with one o...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6136697/ https://www.ncbi.nlm.nih.gov/pubmed/30212457 http://dx.doi.org/10.1371/journal.pone.0199837 |
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author | O’Beirne, Sarah L. Salit, Jacqueline Rodriguez-Flores, Juan L. Staudt, Michelle R. Abi Khalil, Charbel Fakhro, Khalid A. Robay, Amal Ramstetter, Monica D. Malek, Joel A. Zirie, Mahmoud Jayyousi, Amin Badii, Ramin Al-Nabet Al-Marri, Ajayeb Bener, Abdulbari Mahmoud, Mai Chiuchiolo, Maria J. Al-Shakaki, Alya Chidiac, Omar Stadler, Dora Mezey, Jason G. Crystal, Ronald G. |
author_facet | O’Beirne, Sarah L. Salit, Jacqueline Rodriguez-Flores, Juan L. Staudt, Michelle R. Abi Khalil, Charbel Fakhro, Khalid A. Robay, Amal Ramstetter, Monica D. Malek, Joel A. Zirie, Mahmoud Jayyousi, Amin Badii, Ramin Al-Nabet Al-Marri, Ajayeb Bener, Abdulbari Mahmoud, Mai Chiuchiolo, Maria J. Al-Shakaki, Alya Chidiac, Omar Stadler, Dora Mezey, Jason G. Crystal, Ronald G. |
author_sort | O’Beirne, Sarah L. |
collection | PubMed |
description | BACKGROUND: Type 2 diabetes (T2D) susceptibility is influenced by genetic and lifestyle factors. To date, the majority of genetic studies of T2D have been in populations of European and Asian descent. The focus of this study is on genetic variations underlying T2D in Qataris, a population with one of the highest incidences of T2D worldwide. RESULTS: Illumina HiSeq exome sequencing was performed on 864 Qatari subjects (574 T2D cases, 290 controls). Sequence kernel association test (SKAT) gene-based analysis identified an association for low frequency potentially deleterious variants in 6 genes. However, these findings were not replicated by SKAT analysis in an independent cohort of 12,699 exomes, primarly due to the absence of low frequency potentially deleterious variants in 5 of the 6 genes. Interestingly one of the genes identified, catenin beta 1 (CTNNB1, β-catenin), is the key effector of the Wnt pathway and interacts with the nuclear receptor transcription factor 7-like 2 (TCF7L2), variants which are the most strongly associated with risk of developing T2D worldwide. Single variant analysis did not identify any associated variants, suggesting the SKAT association signal was not driven by individual variants. None of the 6 associated genes were among 634 previously described T2D genes. CONCLUSIONS: The observation that genes not previously linked to T2D in prior studies of European and Asian populations are associated with T2D in Qatar provides new insights into the complexity of T2D pathogenesis and emphasizes the importance of understudied populations when assessing genetic variation in the pathogenesis of common disorders. |
format | Online Article Text |
id | pubmed-6136697 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-61366972018-09-27 Exome sequencing-based identification of novel type 2 diabetes risk allele loci in the Qatari population O’Beirne, Sarah L. Salit, Jacqueline Rodriguez-Flores, Juan L. Staudt, Michelle R. Abi Khalil, Charbel Fakhro, Khalid A. Robay, Amal Ramstetter, Monica D. Malek, Joel A. Zirie, Mahmoud Jayyousi, Amin Badii, Ramin Al-Nabet Al-Marri, Ajayeb Bener, Abdulbari Mahmoud, Mai Chiuchiolo, Maria J. Al-Shakaki, Alya Chidiac, Omar Stadler, Dora Mezey, Jason G. Crystal, Ronald G. PLoS One Research Article BACKGROUND: Type 2 diabetes (T2D) susceptibility is influenced by genetic and lifestyle factors. To date, the majority of genetic studies of T2D have been in populations of European and Asian descent. The focus of this study is on genetic variations underlying T2D in Qataris, a population with one of the highest incidences of T2D worldwide. RESULTS: Illumina HiSeq exome sequencing was performed on 864 Qatari subjects (574 T2D cases, 290 controls). Sequence kernel association test (SKAT) gene-based analysis identified an association for low frequency potentially deleterious variants in 6 genes. However, these findings were not replicated by SKAT analysis in an independent cohort of 12,699 exomes, primarly due to the absence of low frequency potentially deleterious variants in 5 of the 6 genes. Interestingly one of the genes identified, catenin beta 1 (CTNNB1, β-catenin), is the key effector of the Wnt pathway and interacts with the nuclear receptor transcription factor 7-like 2 (TCF7L2), variants which are the most strongly associated with risk of developing T2D worldwide. Single variant analysis did not identify any associated variants, suggesting the SKAT association signal was not driven by individual variants. None of the 6 associated genes were among 634 previously described T2D genes. CONCLUSIONS: The observation that genes not previously linked to T2D in prior studies of European and Asian populations are associated with T2D in Qatar provides new insights into the complexity of T2D pathogenesis and emphasizes the importance of understudied populations when assessing genetic variation in the pathogenesis of common disorders. Public Library of Science 2018-09-13 /pmc/articles/PMC6136697/ /pubmed/30212457 http://dx.doi.org/10.1371/journal.pone.0199837 Text en © 2018 O’Beirne et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article O’Beirne, Sarah L. Salit, Jacqueline Rodriguez-Flores, Juan L. Staudt, Michelle R. Abi Khalil, Charbel Fakhro, Khalid A. Robay, Amal Ramstetter, Monica D. Malek, Joel A. Zirie, Mahmoud Jayyousi, Amin Badii, Ramin Al-Nabet Al-Marri, Ajayeb Bener, Abdulbari Mahmoud, Mai Chiuchiolo, Maria J. Al-Shakaki, Alya Chidiac, Omar Stadler, Dora Mezey, Jason G. Crystal, Ronald G. Exome sequencing-based identification of novel type 2 diabetes risk allele loci in the Qatari population |
title | Exome sequencing-based identification of novel type 2 diabetes risk allele loci in the Qatari population |
title_full | Exome sequencing-based identification of novel type 2 diabetes risk allele loci in the Qatari population |
title_fullStr | Exome sequencing-based identification of novel type 2 diabetes risk allele loci in the Qatari population |
title_full_unstemmed | Exome sequencing-based identification of novel type 2 diabetes risk allele loci in the Qatari population |
title_short | Exome sequencing-based identification of novel type 2 diabetes risk allele loci in the Qatari population |
title_sort | exome sequencing-based identification of novel type 2 diabetes risk allele loci in the qatari population |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6136697/ https://www.ncbi.nlm.nih.gov/pubmed/30212457 http://dx.doi.org/10.1371/journal.pone.0199837 |
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