Next Generation Exome Sequencing of Pediatric Asthma Identifies Rare and Novel Variants in Candidate Genes
Multiple genes have been implicated to have a role in asthma predisposition by association studies. Pediatric patients often manifest a more extensive form of this disease and a particularly severe disease course. It is likely that genetic predisposition could play a more substantial role in this gr...
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creator | Bogari, Neda M. Amin, Amr A. Rayes, Husni H. Abdelmotelb, Ahmed Taher, Mohiuddin M. Al-Allaf, Faisal A. Bouazzaoui, Abdellatif O’Gorman, Luke Holloway, John W. |
description | Multiple genes have been implicated to have a role in asthma predisposition by association studies. Pediatric patients often manifest a more extensive form of this disease and a particularly severe disease course. It is likely that genetic predisposition could play a more substantial role in this group. This study is aimed at identifying the spectrum of rare and novel variation in known pediatric asthma susceptibility genes using whole exome sequencing analysis in nine individual cases of childhood onset allergic asthma. DNA samples from the nine children with a history of bronchial asthma diagnosis underwent whole exome sequencing on Ion Proton. For each patient, the entire complement of rare variation within strongly associated candidate genes was catalogued. The analysis showed 21 variants in the subjects, 13 had been previously identified, and 8 were novel. Also, among of which, nineteen were nonsynonymous and 2 were nonsense. With regard to the novel variants, the 2 nonsynonymous variants in the PRKG1 gene (PRKG1: p.C519W and PRKG1: p.G520W) were presented in 4 cases, and a nonsynonymous variant in the MAVS gene (MAVS: p.A45V) was identified in 3 cases. The variants we found in this study will enrich the variant spectrum and build up the database in the Saudi population. Novel eight variants were identified in the study which provides more evidence in the genetic susceptibility in asthma among Saudi children, providing a genetic screening map for the molecular genetic determinants of allergic disease in Saudi children, with the goal of reducing the impact of chronic diseases on the health and the economy. We believe that the advanced specified statistical filtration/annotation programs used in this study succeeded to release such results in a preliminary study, exploring the genetic map of that disease in Saudi children. |
doi_str_mv | 10.1155/2021/8884229 |
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Pediatric patients often manifest a more extensive form of this disease and a particularly severe disease course. It is likely that genetic predisposition could play a more substantial role in this group. This study is aimed at identifying the spectrum of rare and novel variation in known pediatric asthma susceptibility genes using whole exome sequencing analysis in nine individual cases of childhood onset allergic asthma. DNA samples from the nine children with a history of bronchial asthma diagnosis underwent whole exome sequencing on Ion Proton. For each patient, the entire complement of rare variation within strongly associated candidate genes was catalogued. The analysis showed 21 variants in the subjects, 13 had been previously identified, and 8 were novel. Also, among of which, nineteen were nonsynonymous and 2 were nonsense. With regard to the novel variants, the 2 nonsynonymous variants in the PRKG1 gene (PRKG1: p.C519W and PRKG1: p.G520W) were presented in 4 cases, and a nonsynonymous variant in the MAVS gene (MAVS: p.A45V) was identified in 3 cases. The variants we found in this study will enrich the variant spectrum and build up the database in the Saudi population. Novel eight variants were identified in the study which provides more evidence in the genetic susceptibility in asthma among Saudi children, providing a genetic screening map for the molecular genetic determinants of allergic disease in Saudi children, with the goal of reducing the impact of chronic diseases on the health and the economy. We believe that the advanced specified statistical filtration/annotation programs used in this study succeeded to release such results in a preliminary study, exploring the genetic map of that disease in Saudi children.</description><identifier>ISSN: 0278-0240</identifier><identifier>EISSN: 1875-8630</identifier><identifier>DOI: 10.1155/2021/8884229</identifier><identifier>PMID: 33628342</identifier><language>eng</language><publisher>United States: Hindawi</publisher><subject>Allergic diseases ; Annotations ; Asthma ; Children ; Chronic illnesses ; Deoxyribonucleic acid ; Disease ; DNA ; DNA sequencing ; Food allergies ; Gene expression ; Gene loci ; Genes ; Genetic screening ; Genomes ; Impact analysis ; Pathogenesis ; Pediatrics ; Physiology ; Questionnaires ; Sequence analysis ; Statistical methods</subject><ispartof>Disease markers, 2021, Vol.2021, p.8884229-10</ispartof><rights>Copyright © 2021 Neda M. Bogari et al.</rights><rights>Copyright © 2021 Neda M. Bogari et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><rights>Copyright © 2021 Neda M. Bogari et al. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c448t-f0e56b9e0aeb2fa59af9f58fb99f6b184a299c59d5ad792a75f5d166e611f0973</citedby><cites>FETCH-LOGICAL-c448t-f0e56b9e0aeb2fa59af9f58fb99f6b184a299c59d5ad792a75f5d166e611f0973</cites><orcidid>0000-0003-4399-3463 ; 0000-0002-7071-0492 ; 0000-0003-3044-3809 ; 0000-0002-8694-1500 ; 0000-0001-9998-0464</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7888305/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7888305/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,4024,27923,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33628342$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Li, Peng fei</contributor><contributor>Peng fei Li</contributor><creatorcontrib>Bogari, Neda M.</creatorcontrib><creatorcontrib>Amin, Amr A.</creatorcontrib><creatorcontrib>Rayes, Husni H.</creatorcontrib><creatorcontrib>Abdelmotelb, Ahmed</creatorcontrib><creatorcontrib>Taher, Mohiuddin M.</creatorcontrib><creatorcontrib>Al-Allaf, Faisal A.</creatorcontrib><creatorcontrib>Bouazzaoui, Abdellatif</creatorcontrib><creatorcontrib>O’Gorman, Luke</creatorcontrib><creatorcontrib>Holloway, John W.</creatorcontrib><title>Next Generation Exome Sequencing of Pediatric Asthma Identifies Rare and Novel Variants in Candidate Genes</title><title>Disease markers</title><addtitle>Dis Markers</addtitle><description>Multiple genes have been implicated to have a role in asthma predisposition by association studies. Pediatric patients often manifest a more extensive form of this disease and a particularly severe disease course. It is likely that genetic predisposition could play a more substantial role in this group. This study is aimed at identifying the spectrum of rare and novel variation in known pediatric asthma susceptibility genes using whole exome sequencing analysis in nine individual cases of childhood onset allergic asthma. DNA samples from the nine children with a history of bronchial asthma diagnosis underwent whole exome sequencing on Ion Proton. For each patient, the entire complement of rare variation within strongly associated candidate genes was catalogued. The analysis showed 21 variants in the subjects, 13 had been previously identified, and 8 were novel. Also, among of which, nineteen were nonsynonymous and 2 were nonsense. With regard to the novel variants, the 2 nonsynonymous variants in the PRKG1 gene (PRKG1: p.C519W and PRKG1: p.G520W) were presented in 4 cases, and a nonsynonymous variant in the MAVS gene (MAVS: p.A45V) was identified in 3 cases. The variants we found in this study will enrich the variant spectrum and build up the database in the Saudi population. Novel eight variants were identified in the study which provides more evidence in the genetic susceptibility in asthma among Saudi children, providing a genetic screening map for the molecular genetic determinants of allergic disease in Saudi children, with the goal of reducing the impact of chronic diseases on the health and the economy. We believe that the advanced specified statistical filtration/annotation programs used in this study succeeded to release such results in a preliminary study, exploring the genetic map of that disease in Saudi children.</description><subject>Allergic diseases</subject><subject>Annotations</subject><subject>Asthma</subject><subject>Children</subject><subject>Chronic illnesses</subject><subject>Deoxyribonucleic acid</subject><subject>Disease</subject><subject>DNA</subject><subject>DNA sequencing</subject><subject>Food allergies</subject><subject>Gene expression</subject><subject>Gene loci</subject><subject>Genes</subject><subject>Genetic screening</subject><subject>Genomes</subject><subject>Impact analysis</subject><subject>Pathogenesis</subject><subject>Pediatrics</subject><subject>Physiology</subject><subject>Questionnaires</subject><subject>Sequence analysis</subject><subject>Statistical methods</subject><issn>0278-0240</issn><issn>1875-8630</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><recordid>eNp9kc9rFDEUx4Modq3ePEvAi2DHJpnJTHIRylJroVTx1zW8mXnpZplJapKt9b9v1l2LevAUePnw4fvel5DnnL3hXMpjwQQ_Vko1QugHZMFVJyvV1uwhWTDRqYqJhh2QJymtGeNCN_oxOajrVqi6EQuyvsTbTM_QY4Tsgqent2FG-hm_b9APzl_RYOlHHB3k6AZ6kvJqBno-os_OOkz0E0Sk4Ed6GW5wot8gOvA5UefpsozdCBl_-dNT8sjClPDZ_j0kX9-dflm-ry4-nJ0vTy6qoWlUrixD2fYaGWAvLEgNVlupbK-1bXuuGhBaD1KPEsZOC-iklSNvW2w5t0x39SF5u_Neb_oZx6FEjTCZ6-hmiD9NAGf-_vFuZa7CjenKFWsmi-DVXhBDOUPKZnZpwGkCj2GTjGh0XaLKrinoy3_QddhEX9bbUryTtex4oY521BBDShHtfRjOzLZEsy3R7Ess-Is_F7iHf7dWgNc7YOX8CD_c_3V3-Eik-w</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Bogari, Neda M.</creator><creator>Amin, Amr A.</creator><creator>Rayes, Husni H.</creator><creator>Abdelmotelb, Ahmed</creator><creator>Taher, Mohiuddin M.</creator><creator>Al-Allaf, Faisal A.</creator><creator>Bouazzaoui, Abdellatif</creator><creator>O’Gorman, Luke</creator><creator>Holloway, John W.</creator><general>Hindawi</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>7QO</scope><scope>7TK</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-4399-3463</orcidid><orcidid>https://orcid.org/0000-0002-7071-0492</orcidid><orcidid>https://orcid.org/0000-0003-3044-3809</orcidid><orcidid>https://orcid.org/0000-0002-8694-1500</orcidid><orcidid>https://orcid.org/0000-0001-9998-0464</orcidid></search><sort><creationdate>2021</creationdate><title>Next Generation Exome Sequencing of Pediatric Asthma Identifies Rare and Novel Variants in Candidate Genes</title><author>Bogari, Neda M. ; Amin, Amr A. ; Rayes, Husni H. ; Abdelmotelb, Ahmed ; Taher, Mohiuddin M. ; Al-Allaf, Faisal A. ; Bouazzaoui, Abdellatif ; O’Gorman, Luke ; Holloway, John W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c448t-f0e56b9e0aeb2fa59af9f58fb99f6b184a299c59d5ad792a75f5d166e611f0973</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Allergic diseases</topic><topic>Annotations</topic><topic>Asthma</topic><topic>Children</topic><topic>Chronic illnesses</topic><topic>Deoxyribonucleic acid</topic><topic>Disease</topic><topic>DNA</topic><topic>DNA sequencing</topic><topic>Food allergies</topic><topic>Gene expression</topic><topic>Gene loci</topic><topic>Genes</topic><topic>Genetic screening</topic><topic>Genomes</topic><topic>Impact analysis</topic><topic>Pathogenesis</topic><topic>Pediatrics</topic><topic>Physiology</topic><topic>Questionnaires</topic><topic>Sequence analysis</topic><topic>Statistical methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bogari, Neda M.</creatorcontrib><creatorcontrib>Amin, Amr A.</creatorcontrib><creatorcontrib>Rayes, Husni H.</creatorcontrib><creatorcontrib>Abdelmotelb, Ahmed</creatorcontrib><creatorcontrib>Taher, Mohiuddin M.</creatorcontrib><creatorcontrib>Al-Allaf, Faisal A.</creatorcontrib><creatorcontrib>Bouazzaoui, Abdellatif</creatorcontrib><creatorcontrib>O’Gorman, Luke</creatorcontrib><creatorcontrib>Holloway, John W.</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Disease markers</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bogari, Neda M.</au><au>Amin, Amr A.</au><au>Rayes, Husni H.</au><au>Abdelmotelb, Ahmed</au><au>Taher, Mohiuddin M.</au><au>Al-Allaf, Faisal A.</au><au>Bouazzaoui, Abdellatif</au><au>O’Gorman, Luke</au><au>Holloway, John W.</au><au>Li, Peng fei</au><au>Peng fei Li</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Next Generation Exome Sequencing of Pediatric Asthma Identifies Rare and Novel Variants in Candidate Genes</atitle><jtitle>Disease markers</jtitle><addtitle>Dis Markers</addtitle><date>2021</date><risdate>2021</risdate><volume>2021</volume><spage>8884229</spage><epage>10</epage><pages>8884229-10</pages><issn>0278-0240</issn><eissn>1875-8630</eissn><abstract>Multiple genes have been implicated to have a role in asthma predisposition by association studies. Pediatric patients often manifest a more extensive form of this disease and a particularly severe disease course. It is likely that genetic predisposition could play a more substantial role in this group. This study is aimed at identifying the spectrum of rare and novel variation in known pediatric asthma susceptibility genes using whole exome sequencing analysis in nine individual cases of childhood onset allergic asthma. DNA samples from the nine children with a history of bronchial asthma diagnosis underwent whole exome sequencing on Ion Proton. For each patient, the entire complement of rare variation within strongly associated candidate genes was catalogued. The analysis showed 21 variants in the subjects, 13 had been previously identified, and 8 were novel. Also, among of which, nineteen were nonsynonymous and 2 were nonsense. With regard to the novel variants, the 2 nonsynonymous variants in the PRKG1 gene (PRKG1: p.C519W and PRKG1: p.G520W) were presented in 4 cases, and a nonsynonymous variant in the MAVS gene (MAVS: p.A45V) was identified in 3 cases. The variants we found in this study will enrich the variant spectrum and build up the database in the Saudi population. Novel eight variants were identified in the study which provides more evidence in the genetic susceptibility in asthma among Saudi children, providing a genetic screening map for the molecular genetic determinants of allergic disease in Saudi children, with the goal of reducing the impact of chronic diseases on the health and the economy. We believe that the advanced specified statistical filtration/annotation programs used in this study succeeded to release such results in a preliminary study, exploring the genetic map of that disease in Saudi children.</abstract><cop>United States</cop><pub>Hindawi</pub><pmid>33628342</pmid><doi>10.1155/2021/8884229</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-4399-3463</orcidid><orcidid>https://orcid.org/0000-0002-7071-0492</orcidid><orcidid>https://orcid.org/0000-0003-3044-3809</orcidid><orcidid>https://orcid.org/0000-0002-8694-1500</orcidid><orcidid>https://orcid.org/0000-0001-9998-0464</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Allergic diseases Annotations Asthma Children Chronic illnesses Deoxyribonucleic acid Disease DNA DNA sequencing Food allergies Gene expression Gene loci Genes Genetic screening Genomes Impact analysis Pathogenesis Pediatrics Physiology Questionnaires Sequence analysis Statistical methods |
title | Next Generation Exome Sequencing of Pediatric Asthma Identifies Rare and Novel Variants in Candidate Genes |
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