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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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.
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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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