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Variants in Candidate Genes for Phenotype Heterogeneity in Patients with the 22q11.2 Deletion Syndrome
22q11.2 deletion syndrome (22q11.2DS) is a microdeletion syndrome with a broad and heterogeneous phenotype, even though most of the deletions present similar sizes, involving ∼3 Mb of DNA. In a relatively large population of a Brazilian 22q11.2DS cohort (60 patients), we investigated genetic variant...
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description | 22q11.2 deletion syndrome (22q11.2DS) is a microdeletion syndrome with a broad and heterogeneous phenotype, even though most of the deletions present similar sizes, involving ∼3 Mb of DNA. In a relatively large population of a Brazilian 22q11.2DS cohort (60 patients), we investigated genetic variants that could act as genetic modifiers and contribute to the phenotypic heterogeneity, using a targeted NGS (Next Generation Sequencing) with a specific Ion AmpliSeq panel to sequence nine candidate genes (CRKL, MAPK1, HIRA, TANGO2, PI4KA, HDAC1, ZDHHC8, ZFPM2, and JAM3), mapped in and outside the 22q11.2 hemizygous deleted region. In silico prediction was performed, and the whole-genome sequencing annotation analysis package (WGSA) was used to predict the possible pathogenic effect of single nucleotide variants (SNVs). For the in silico prediction of the indels, we used the genomic variants filtered by a deep learning model in NGS (GARFIELD-NGS). We identified six variants, 4 SNVs and 2 indels, in MAPK1, JAM3, and ZFPM2 genes with possibly synergistic deleterious effects in the context of the 22q11.2 deletion. Our results provide the opportunity for the discovery of the co-occurrence of genetic variants with 22q11.2 deletions, which may influence the patients´ phenotype. |
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In a relatively large population of a Brazilian 22q11.2DS cohort (60 patients), we investigated genetic variants that could act as genetic modifiers and contribute to the phenotypic heterogeneity, using a targeted NGS (Next Generation Sequencing) with a specific Ion AmpliSeq panel to sequence nine candidate genes (CRKL, MAPK1, HIRA, TANGO2, PI4KA, HDAC1, ZDHHC8, ZFPM2, and JAM3), mapped in and outside the 22q11.2 hemizygous deleted region. In silico prediction was performed, and the whole-genome sequencing annotation analysis package (WGSA) was used to predict the possible pathogenic effect of single nucleotide variants (SNVs). For the in silico prediction of the indels, we used the genomic variants filtered by a deep learning model in NGS (GARFIELD-NGS). We identified six variants, 4 SNVs and 2 indels, in MAPK1, JAM3, and ZFPM2 genes with possibly synergistic deleterious effects in the context of the 22q11.2 deletion. Our results provide the opportunity for the discovery of the co-occurrence of genetic variants with 22q11.2 deletions, which may influence the patients´ phenotype.</description><identifier>ISSN: 1469-5073</identifier><identifier>ISSN: 0016-6723</identifier><identifier>EISSN: 1469-5073</identifier><identifier>DOI: 10.1155/2024/5549592</identifier><identifier>PMID: 38586596</identifier><language>eng</language><publisher>England: Hindawi</publisher><subject>Annotations ; Congenital diseases ; Deep learning ; Deletion ; Gene sequencing ; Genes ; Genetic diversity ; Genetic variance ; Genomes ; Genotype & phenotype ; Heterogeneity ; Immunology ; Kinases ; Next-generation sequencing ; Nucleotides ; Phenotypes ; Proteins ; Schizophrenia ; Statistical power ; Whole genome sequencing</subject><ispartof>Genetics Research, 2024, Vol.2024, p.5549592-9</ispartof><rights>Copyright © 2024 Natalia Nunes et al.</rights><rights>Copyright © 2024 Natalia Nunes 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><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c416t-48de3ee0525f644fb6b569dd362210a8296c7d9b3be37a5bd071f25a0cdb875f3</cites><orcidid>0000-0003-3125-1948 ; 0000-0002-2419-4351 ; 0000-0003-0594-6762 ; 0000-0002-6589-2367 ; 0000-0002-8181-3884 ; 0000-0003-4954-8766 ; 0000-0003-1288-0554 ; 0000-0002-1754-1300 ; 0000-0002-7247-4745 ; 0000-0002-1230-1113 ; 0000-0002-4344-9698</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3034071452/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3034071452?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,4024,25753,27923,27924,27925,37012,37013,44590,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38586596$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Jin, Xiaoye</contributor><contributor>Xiaoye Jin</contributor><creatorcontrib>Nunes, Natalia</creatorcontrib><creatorcontrib>Carvalho Nunes, Beatriz</creatorcontrib><creatorcontrib>Zamariolli, Malú</creatorcontrib><creatorcontrib>Cordeiro de Queiroz Soares, Diogo</creatorcontrib><creatorcontrib>Caires dos Santos, Leonardo</creatorcontrib><creatorcontrib>Gollo Dantas, Anelisa</creatorcontrib><creatorcontrib>Ayres Meloni, Vera</creatorcontrib><creatorcontrib>Iole Belangero, Sintia</creatorcontrib><creatorcontrib>Gil-Da-Silva-Lopes, Vera Lúcia</creatorcontrib><creatorcontrib>Ae Kim, Chong</creatorcontrib><creatorcontrib>Melaragno, Maria Isabel</creatorcontrib><title>Variants in Candidate Genes for Phenotype Heterogeneity in Patients with the 22q11.2 Deletion Syndrome</title><title>Genetics Research</title><addtitle>Genet Res (Camb)</addtitle><description>22q11.2 deletion syndrome (22q11.2DS) is a microdeletion syndrome with a broad and heterogeneous phenotype, even though most of the deletions present similar sizes, involving ∼3 Mb of DNA. In a relatively large population of a Brazilian 22q11.2DS cohort (60 patients), we investigated genetic variants that could act as genetic modifiers and contribute to the phenotypic heterogeneity, using a targeted NGS (Next Generation Sequencing) with a specific Ion AmpliSeq panel to sequence nine candidate genes (CRKL, MAPK1, HIRA, TANGO2, PI4KA, HDAC1, ZDHHC8, ZFPM2, and JAM3), mapped in and outside the 22q11.2 hemizygous deleted region. In silico prediction was performed, and the whole-genome sequencing annotation analysis package (WGSA) was used to predict the possible pathogenic effect of single nucleotide variants (SNVs). For the in silico prediction of the indels, we used the genomic variants filtered by a deep learning model in NGS (GARFIELD-NGS). We identified six variants, 4 SNVs and 2 indels, in MAPK1, JAM3, and ZFPM2 genes with possibly synergistic deleterious effects in the context of the 22q11.2 deletion. 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Syndrome</atitle><jtitle>Genetics Research</jtitle><addtitle>Genet Res (Camb)</addtitle><date>2024</date><risdate>2024</risdate><volume>2024</volume><spage>5549592</spage><epage>9</epage><pages>5549592-9</pages><issn>1469-5073</issn><issn>0016-6723</issn><eissn>1469-5073</eissn><abstract>22q11.2 deletion syndrome (22q11.2DS) is a microdeletion syndrome with a broad and heterogeneous phenotype, even though most of the deletions present similar sizes, involving ∼3 Mb of DNA. In a relatively large population of a Brazilian 22q11.2DS cohort (60 patients), we investigated genetic variants that could act as genetic modifiers and contribute to the phenotypic heterogeneity, using a targeted NGS (Next Generation Sequencing) with a specific Ion AmpliSeq panel to sequence nine candidate genes (CRKL, MAPK1, HIRA, TANGO2, PI4KA, HDAC1, ZDHHC8, ZFPM2, and JAM3), mapped in and outside the 22q11.2 hemizygous deleted region. In silico prediction was performed, and the whole-genome sequencing annotation analysis package (WGSA) was used to predict the possible pathogenic effect of single nucleotide variants (SNVs). For the in silico prediction of the indels, we used the genomic variants filtered by a deep learning model in NGS (GARFIELD-NGS). We identified six variants, 4 SNVs and 2 indels, in MAPK1, JAM3, and ZFPM2 genes with possibly synergistic deleterious effects in the context of the 22q11.2 deletion. 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subjects | Annotations Congenital diseases Deep learning Deletion Gene sequencing Genes Genetic diversity Genetic variance Genomes Genotype & phenotype Heterogeneity Immunology Kinases Next-generation sequencing Nucleotides Phenotypes Proteins Schizophrenia Statistical power Whole genome sequencing |
title | Variants in Candidate Genes for Phenotype Heterogeneity in Patients with the 22q11.2 Deletion Syndrome |
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