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Evolutionary Landscape of SOX Genes to Inform Genotype-to-Phenotype Relationships
The SOX transcription factor family is pivotal in controlling aspects of development. To identify genotype–phenotype relationships of SOX proteins, we performed a non-biased study of SOX using 1890 open-reading frame and 6667 amino acid sequences in combination with structural dynamics to interpret...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859272/ https://www.ncbi.nlm.nih.gov/pubmed/36672963 http://dx.doi.org/10.3390/genes14010222 |
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author | Underwood, Adam Rasicci, Daniel T Hinds, David Mitchell, Jackson T Zieba, Jacob K Mills, Joshua Arnold, Nicholas E Cook, Taylor W Moustaqil, Mehdi Gambin, Yann Sierecki, Emma Fontaine, Frank Vanderweele, Sophie Das, Akansha S Cvammen, William Sirpilla, Olivia Soehnlen, Xavier Bricker, Kristen Alokaili, Maram Green, Morgan Heeringa, Sadie Wilstermann, Amy M Freeland, Thomas M. Qutob, Dinah Milsted, Amy Jauch, Ralf Triche, Timothy J Krawczyk, Connie M Bupp, Caleb P Rajasekaran, Surender Francois, Mathias Prokop, Jeremy W. |
author_facet | Underwood, Adam Rasicci, Daniel T Hinds, David Mitchell, Jackson T Zieba, Jacob K Mills, Joshua Arnold, Nicholas E Cook, Taylor W Moustaqil, Mehdi Gambin, Yann Sierecki, Emma Fontaine, Frank Vanderweele, Sophie Das, Akansha S Cvammen, William Sirpilla, Olivia Soehnlen, Xavier Bricker, Kristen Alokaili, Maram Green, Morgan Heeringa, Sadie Wilstermann, Amy M Freeland, Thomas M. Qutob, Dinah Milsted, Amy Jauch, Ralf Triche, Timothy J Krawczyk, Connie M Bupp, Caleb P Rajasekaran, Surender Francois, Mathias Prokop, Jeremy W. |
author_sort | Underwood, Adam |
collection | PubMed |
description | The SOX transcription factor family is pivotal in controlling aspects of development. To identify genotype–phenotype relationships of SOX proteins, we performed a non-biased study of SOX using 1890 open-reading frame and 6667 amino acid sequences in combination with structural dynamics to interpret 3999 gnomAD, 485 ClinVar, 1174 Geno2MP, and 4313 COSMIC human variants. We identified, within the HMG (High Mobility Group)- box, twenty-seven amino acids with changes in multiple SOX proteins annotated to clinical pathologies. These sites were screened through Geno2MP medical phenotypes, revealing novel SOX15 R104G associated with musculature abnormality and SOX8 R159G with intellectual disability. Within gnomAD, SOX18 E137K (rs201931544), found within the HMG box of ~0.8% of Latinx individuals, is associated with seizures and neurological complications, potentially through blood–brain barrier alterations. A total of 56 highly conserved variants were found at sites outside the HMG-box, including several within the SOX2 HMG-box-flanking region with neurological associations, several in the SOX9 dimerization region associated with Campomelic Dysplasia, SOX14 K88R (rs199932938) flanking the HMG box associated with cardiovascular complications within European populations, and SOX7 A379V (rs143587868) within an SOXF conserved far C-terminal domain heterozygous in 0.716% of African individuals with associated eye phenotypes. This SOX data compilation builds a robust genotype-to-phenotype association for a gene family through more robust ortholog data integration. |
format | Online Article Text |
id | pubmed-9859272 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98592722023-01-21 Evolutionary Landscape of SOX Genes to Inform Genotype-to-Phenotype Relationships Underwood, Adam Rasicci, Daniel T Hinds, David Mitchell, Jackson T Zieba, Jacob K Mills, Joshua Arnold, Nicholas E Cook, Taylor W Moustaqil, Mehdi Gambin, Yann Sierecki, Emma Fontaine, Frank Vanderweele, Sophie Das, Akansha S Cvammen, William Sirpilla, Olivia Soehnlen, Xavier Bricker, Kristen Alokaili, Maram Green, Morgan Heeringa, Sadie Wilstermann, Amy M Freeland, Thomas M. Qutob, Dinah Milsted, Amy Jauch, Ralf Triche, Timothy J Krawczyk, Connie M Bupp, Caleb P Rajasekaran, Surender Francois, Mathias Prokop, Jeremy W. Genes (Basel) Article The SOX transcription factor family is pivotal in controlling aspects of development. To identify genotype–phenotype relationships of SOX proteins, we performed a non-biased study of SOX using 1890 open-reading frame and 6667 amino acid sequences in combination with structural dynamics to interpret 3999 gnomAD, 485 ClinVar, 1174 Geno2MP, and 4313 COSMIC human variants. We identified, within the HMG (High Mobility Group)- box, twenty-seven amino acids with changes in multiple SOX proteins annotated to clinical pathologies. These sites were screened through Geno2MP medical phenotypes, revealing novel SOX15 R104G associated with musculature abnormality and SOX8 R159G with intellectual disability. Within gnomAD, SOX18 E137K (rs201931544), found within the HMG box of ~0.8% of Latinx individuals, is associated with seizures and neurological complications, potentially through blood–brain barrier alterations. A total of 56 highly conserved variants were found at sites outside the HMG-box, including several within the SOX2 HMG-box-flanking region with neurological associations, several in the SOX9 dimerization region associated with Campomelic Dysplasia, SOX14 K88R (rs199932938) flanking the HMG box associated with cardiovascular complications within European populations, and SOX7 A379V (rs143587868) within an SOXF conserved far C-terminal domain heterozygous in 0.716% of African individuals with associated eye phenotypes. This SOX data compilation builds a robust genotype-to-phenotype association for a gene family through more robust ortholog data integration. MDPI 2023-01-14 /pmc/articles/PMC9859272/ /pubmed/36672963 http://dx.doi.org/10.3390/genes14010222 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Underwood, Adam Rasicci, Daniel T Hinds, David Mitchell, Jackson T Zieba, Jacob K Mills, Joshua Arnold, Nicholas E Cook, Taylor W Moustaqil, Mehdi Gambin, Yann Sierecki, Emma Fontaine, Frank Vanderweele, Sophie Das, Akansha S Cvammen, William Sirpilla, Olivia Soehnlen, Xavier Bricker, Kristen Alokaili, Maram Green, Morgan Heeringa, Sadie Wilstermann, Amy M Freeland, Thomas M. Qutob, Dinah Milsted, Amy Jauch, Ralf Triche, Timothy J Krawczyk, Connie M Bupp, Caleb P Rajasekaran, Surender Francois, Mathias Prokop, Jeremy W. Evolutionary Landscape of SOX Genes to Inform Genotype-to-Phenotype Relationships |
title | Evolutionary Landscape of SOX Genes to Inform Genotype-to-Phenotype Relationships |
title_full | Evolutionary Landscape of SOX Genes to Inform Genotype-to-Phenotype Relationships |
title_fullStr | Evolutionary Landscape of SOX Genes to Inform Genotype-to-Phenotype Relationships |
title_full_unstemmed | Evolutionary Landscape of SOX Genes to Inform Genotype-to-Phenotype Relationships |
title_short | Evolutionary Landscape of SOX Genes to Inform Genotype-to-Phenotype Relationships |
title_sort | evolutionary landscape of sox genes to inform genotype-to-phenotype relationships |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859272/ https://www.ncbi.nlm.nih.gov/pubmed/36672963 http://dx.doi.org/10.3390/genes14010222 |
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