Your browser doesn't support javascript.
loading
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.
Affiliation
  • Underwood A; Division of Mathematics and Science, Walsh University, North Canton, OH 44720, USA.
  • Rasicci DT; Division of Mathematics and Science, Walsh University, North Canton, OH 44720, USA.
  • Hinds D; HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA.
  • Mitchell JT; Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA.
  • Zieba JK; Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA.
  • Mills J; Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA.
  • Arnold NE; Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA.
  • Cook TW; Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA.
  • Moustaqil M; Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA.
  • Gambin Y; Single Molecule Science, Lowy Cancer Research Centre, The University of New South Wales, Sydney, NSW 2031, Australia.
  • Sierecki E; Single Molecule Science, Lowy Cancer Research Centre, The University of New South Wales, Sydney, NSW 2031, Australia.
  • Fontaine F; Single Molecule Science, Lowy Cancer Research Centre, The University of New South Wales, Sydney, NSW 2031, Australia.
  • Vanderweele S; Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia.
  • Das AS; Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA.
  • Cvammen W; Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA.
  • Sirpilla O; Division of Mathematics and Science, Walsh University, North Canton, OH 44720, USA.
  • Soehnlen X; Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA.
  • Bricker K; Division of Mathematics and Science, Walsh University, North Canton, OH 44720, USA.
  • Alokaili M; Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA.
  • Green M; Division of Mathematics and Science, Walsh University, North Canton, OH 44720, USA.
  • Heeringa S; Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, Grand Rapids, MI 49503, USA.
  • Wilstermann AM; Division of Mathematics and Science, Walsh University, North Canton, OH 44720, USA.
  • Freeland TM; Division of Mathematics and Science, Walsh University, North Canton, OH 44720, USA.
  • Qutob D; Department of Chemistry, Grand Valley State University, Allendale, MI 49401, USA.
  • Milsted A; Department of Biology, Calvin University, Grand Rapids, MI 49546, USA.
  • Jauch R; Department of Biology, Calvin University, Grand Rapids, MI 49546, USA.
  • Triche TJ; Division of Mathematics and Science, Walsh University, North Canton, OH 44720, USA.
  • Krawczyk CM; Division of Mathematics and Science, Walsh University, North Canton, OH 44720, USA.
  • Bupp CP; Division of Mathematics and Science, Walsh University, North Canton, OH 44720, USA.
  • Rajasekaran S; School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR 518057, China.
  • Francois M; Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA.
  • Prokop JW; Department of Metabolism and Nutritional Programming, Van Andel Institute, Grand Rapids, MI 49503, USA.
Genes (Basel) ; 14(1)2023 01 14.
Article de En | MEDLINE | ID: mdl-36672963
ABSTRACT
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.
Sujet(s)
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Protéines HMG / Facteurs de transcription SOX Type d'étude: Prognostic_studies Limites: Humans Langue: En Journal: Genes (Basel) Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Protéines HMG / Facteurs de transcription SOX Type d'étude: Prognostic_studies Limites: Humans Langue: En Journal: Genes (Basel) Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique
...