Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:Genetics Research 2024, Vol.2024, p.5549592-9
Main Authors: Nunes, Natalia, Carvalho Nunes, Beatriz, Zamariolli, Malú, Cordeiro de Queiroz Soares, Diogo, Caires dos Santos, Leonardo, Gollo Dantas, Anelisa, Ayres Meloni, Vera, Iole Belangero, Sintia, Gil-Da-Silva-Lopes, Vera Lúcia, Ae Kim, Chong, Melaragno, Maria Isabel
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c416t-48de3ee0525f644fb6b569dd362210a8296c7d9b3be37a5bd071f25a0cdb875f3
container_end_page 9
container_issue
container_start_page 5549592
container_title Genetics Research
container_volume 2024
creator Nunes, Natalia
Carvalho Nunes, Beatriz
Zamariolli, Malú
Cordeiro de Queiroz Soares, Diogo
Caires dos Santos, Leonardo
Gollo Dantas, Anelisa
Ayres Meloni, Vera
Iole Belangero, Sintia
Gil-Da-Silva-Lopes, Vera Lúcia
Ae Kim, Chong
Melaragno, Maria Isabel
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.
doi_str_mv 10.1155/2024/5549592
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_3aec9cf7c8f64a16aa4b81645a566b72</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_3aec9cf7c8f64a16aa4b81645a566b72</doaj_id><sourcerecordid>3034776878</sourcerecordid><originalsourceid>FETCH-LOGICAL-c416t-48de3ee0525f644fb6b569dd362210a8296c7d9b3be37a5bd071f25a0cdb875f3</originalsourceid><addsrcrecordid>eNp9kctrGzEQh5fS0jzaW89F0EshdaK3tMfgtkkg0EAfVzG7mo1lbMmRZIL_--7Gbig99CSh-fTNDL-mecfoOWNKXXDK5YVSslUtf9EcM6nbmaJGvPzrftSclLKklAlqzevmSFhltWr1cTP8ghwg1kJCJHOIPnioSK4wYiFDyuRugTHV3QbJNVbM6X6shLqb8DuoAaevj6EuSF0g4fyBsXNOPuMKa0iRfN9Fn9Ma3zSvBlgVfHs4T5ufX7_8mF_Pbr9d3cwvb2e9ZLrOpPUoEKniatBSDp3ulG69F5pzRsHyVvfGt53oUBhQnaeGDVwB7X1njRrEaXOz9_oES7fJYQ155xIE9_SQ8r2DXEO_QicA-7YfTG_HVsA0gOws01KB0rozfHR93Ls2OT1ssVS3DqXH1Qoipm1xggppjLbGjuiHf9Bl2uY4bvpEjVNKNQk_7ak-p1IyDs8DMuqmLN2UpTtkOeLvD9Jtt0b_DP8JbwTO9sAiRA-P4f-635xWpIQ</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3034071452</pqid></control><display><type>article</type><title>Variants in Candidate Genes for Phenotype Heterogeneity in Patients with the 22q11.2 Deletion Syndrome</title><source>PubMed Central Free</source><source>Wiley Online Library Open Access</source><source>Publicly Available Content (ProQuest)</source><creator>Nunes, Natalia ; Carvalho Nunes, Beatriz ; Zamariolli, Malú ; Cordeiro de Queiroz Soares, Diogo ; Caires dos Santos, Leonardo ; Gollo Dantas, Anelisa ; Ayres Meloni, Vera ; Iole Belangero, Sintia ; Gil-Da-Silva-Lopes, Vera Lúcia ; Ae Kim, Chong ; Melaragno, Maria Isabel</creator><contributor>Jin, Xiaoye ; Xiaoye Jin</contributor><creatorcontrib>Nunes, Natalia ; Carvalho Nunes, Beatriz ; Zamariolli, Malú ; Cordeiro de Queiroz Soares, Diogo ; Caires dos Santos, Leonardo ; Gollo Dantas, Anelisa ; Ayres Meloni, Vera ; Iole Belangero, Sintia ; Gil-Da-Silva-Lopes, Vera Lúcia ; Ae Kim, Chong ; Melaragno, Maria Isabel ; Jin, Xiaoye ; Xiaoye Jin</creatorcontrib><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.</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 &amp; 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. 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><subject>Annotations</subject><subject>Congenital diseases</subject><subject>Deep learning</subject><subject>Deletion</subject><subject>Gene sequencing</subject><subject>Genes</subject><subject>Genetic diversity</subject><subject>Genetic variance</subject><subject>Genomes</subject><subject>Genotype &amp; phenotype</subject><subject>Heterogeneity</subject><subject>Immunology</subject><subject>Kinases</subject><subject>Next-generation sequencing</subject><subject>Nucleotides</subject><subject>Phenotypes</subject><subject>Proteins</subject><subject>Schizophrenia</subject><subject>Statistical power</subject><subject>Whole genome sequencing</subject><issn>1469-5073</issn><issn>0016-6723</issn><issn>1469-5073</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kctrGzEQh5fS0jzaW89F0EshdaK3tMfgtkkg0EAfVzG7mo1lbMmRZIL_--7Gbig99CSh-fTNDL-mecfoOWNKXXDK5YVSslUtf9EcM6nbmaJGvPzrftSclLKklAlqzevmSFhltWr1cTP8ghwg1kJCJHOIPnioSK4wYiFDyuRugTHV3QbJNVbM6X6shLqb8DuoAaevj6EuSF0g4fyBsXNOPuMKa0iRfN9Fn9Ma3zSvBlgVfHs4T5ufX7_8mF_Pbr9d3cwvb2e9ZLrOpPUoEKniatBSDp3ulG69F5pzRsHyVvfGt53oUBhQnaeGDVwB7X1njRrEaXOz9_oES7fJYQ155xIE9_SQ8r2DXEO_QicA-7YfTG_HVsA0gOws01KB0rozfHR93Ls2OT1ssVS3DqXH1Qoipm1xggppjLbGjuiHf9Bl2uY4bvpEjVNKNQk_7ak-p1IyDs8DMuqmLN2UpTtkOeLvD9Jtt0b_DP8JbwTO9sAiRA-P4f-635xWpIQ</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Nunes, Natalia</creator><creator>Carvalho Nunes, Beatriz</creator><creator>Zamariolli, Malú</creator><creator>Cordeiro de Queiroz Soares, Diogo</creator><creator>Caires dos Santos, Leonardo</creator><creator>Gollo Dantas, Anelisa</creator><creator>Ayres Meloni, Vera</creator><creator>Iole Belangero, Sintia</creator><creator>Gil-Da-Silva-Lopes, Vera Lúcia</creator><creator>Ae Kim, Chong</creator><creator>Melaragno, Maria Isabel</creator><general>Hindawi</general><general>Hindawi Limited</general><general>Hindawi - Cambridge University Press</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7SS</scope><scope>7T7</scope><scope>7TK</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7N</scope><scope>M7P</scope><scope>MBDVC</scope><scope>P64</scope><scope>PADUT</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-3125-1948</orcidid><orcidid>https://orcid.org/0000-0002-2419-4351</orcidid><orcidid>https://orcid.org/0000-0003-0594-6762</orcidid><orcidid>https://orcid.org/0000-0002-6589-2367</orcidid><orcidid>https://orcid.org/0000-0002-8181-3884</orcidid><orcidid>https://orcid.org/0000-0003-4954-8766</orcidid><orcidid>https://orcid.org/0000-0003-1288-0554</orcidid><orcidid>https://orcid.org/0000-0002-1754-1300</orcidid><orcidid>https://orcid.org/0000-0002-7247-4745</orcidid><orcidid>https://orcid.org/0000-0002-1230-1113</orcidid><orcidid>https://orcid.org/0000-0002-4344-9698</orcidid></search><sort><creationdate>2024</creationdate><title>Variants in Candidate Genes for Phenotype Heterogeneity in Patients with the 22q11.2 Deletion Syndrome</title><author>Nunes, Natalia ; Carvalho Nunes, Beatriz ; Zamariolli, Malú ; Cordeiro de Queiroz Soares, Diogo ; Caires dos Santos, Leonardo ; Gollo Dantas, Anelisa ; Ayres Meloni, Vera ; Iole Belangero, Sintia ; Gil-Da-Silva-Lopes, Vera Lúcia ; Ae Kim, Chong ; Melaragno, Maria Isabel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c416t-48de3ee0525f644fb6b569dd362210a8296c7d9b3be37a5bd071f25a0cdb875f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Annotations</topic><topic>Congenital diseases</topic><topic>Deep learning</topic><topic>Deletion</topic><topic>Gene sequencing</topic><topic>Genes</topic><topic>Genetic diversity</topic><topic>Genetic variance</topic><topic>Genomes</topic><topic>Genotype &amp; phenotype</topic><topic>Heterogeneity</topic><topic>Immunology</topic><topic>Kinases</topic><topic>Next-generation sequencing</topic><topic>Nucleotides</topic><topic>Phenotypes</topic><topic>Proteins</topic><topic>Schizophrenia</topic><topic>Statistical power</topic><topic>Whole genome sequencing</topic><toplevel>online_resources</toplevel><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><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>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest research library</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Research Library China</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Genetics Research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nunes, Natalia</au><au>Carvalho Nunes, Beatriz</au><au>Zamariolli, Malú</au><au>Cordeiro de Queiroz Soares, Diogo</au><au>Caires dos Santos, Leonardo</au><au>Gollo Dantas, Anelisa</au><au>Ayres Meloni, Vera</au><au>Iole Belangero, Sintia</au><au>Gil-Da-Silva-Lopes, Vera Lúcia</au><au>Ae Kim, Chong</au><au>Melaragno, Maria Isabel</au><au>Jin, Xiaoye</au><au>Xiaoye Jin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Variants in Candidate Genes for Phenotype Heterogeneity in Patients with the 22q11.2 Deletion 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. 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.</abstract><cop>England</cop><pub>Hindawi</pub><pmid>38586596</pmid><doi>10.1155/2024/5549592</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-3125-1948</orcidid><orcidid>https://orcid.org/0000-0002-2419-4351</orcidid><orcidid>https://orcid.org/0000-0003-0594-6762</orcidid><orcidid>https://orcid.org/0000-0002-6589-2367</orcidid><orcidid>https://orcid.org/0000-0002-8181-3884</orcidid><orcidid>https://orcid.org/0000-0003-4954-8766</orcidid><orcidid>https://orcid.org/0000-0003-1288-0554</orcidid><orcidid>https://orcid.org/0000-0002-1754-1300</orcidid><orcidid>https://orcid.org/0000-0002-7247-4745</orcidid><orcidid>https://orcid.org/0000-0002-1230-1113</orcidid><orcidid>https://orcid.org/0000-0002-4344-9698</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1469-5073
ispartof Genetics Research, 2024, Vol.2024, p.5549592-9
issn 1469-5073
0016-6723
1469-5073
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_3aec9cf7c8f64a16aa4b81645a566b72
source PubMed Central Free; Wiley Online Library Open Access; Publicly Available Content (ProQuest)
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T19%3A03%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Variants%20in%20Candidate%20Genes%20for%20Phenotype%20Heterogeneity%20in%20Patients%20with%20the%2022q11.2%20Deletion%20Syndrome&rft.jtitle=Genetics%20Research&rft.au=Nunes,%20Natalia&rft.date=2024&rft.volume=2024&rft.spage=5549592&rft.epage=9&rft.pages=5549592-9&rft.issn=1469-5073&rft.eissn=1469-5073&rft_id=info:doi/10.1155/2024/5549592&rft_dat=%3Cproquest_doaj_%3E3034776878%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c416t-48de3ee0525f644fb6b569dd362210a8296c7d9b3be37a5bd071f25a0cdb875f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3034071452&rft_id=info:pmid/38586596&rfr_iscdi=true