Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Genetic variation across RNA metabolism and cell death gene networks is implicated in the semantic variant of primary progressive aphasia

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • معلومة اضافية
    • Contributors:
      University of California San Francisco (UC San Francisco); University of California (UC); Washington University School of Medicine Saint Louis, MO; UCL Institute of Neurology, Queen Square London; University of Reading (UOR); Institut du Cerveau = Paris Brain Institute (ICM); Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière AP-HP; Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS); Génétique du cancer et des maladies neuropsychiatriques (GMFC); Université de Rouen Normandie (UNIROUEN); Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM); CHU Rouen; Normandie Université (NU); Centre Hospitalier Universitaire de Nantes = Nantes University Hospital (CHU Nantes)
    • بيانات النشر:
      HAL CCSD
      Nature Publishing Group
    • الموضوع:
      2019
    • Collection:
      Normandie Université: HAL
    • نبذة مختصرة :
      International audience ; The semantic variant of primary progressive aphasia (svPPA) is a clinical syndrome characterized by neurodegeneration and progressive loss of semantic knowledge. Unlike many other forms of frontotemporal lobar degeneration (FTLD), svPPA has a highly consistent underlying pathology composed of TDP-43 (a regulator of RNA and DNA transcription metabolism). Previous genetic studies of svPPA are limited by small sample sizes and a paucity of common risk variants. Despite this, svPPA’s relatively homogenous clinicopathologic phenotype makes it an ideal investigative model to examine genetic processes that may drive neurodegenerative disease. In this study, we used GWAS metadata, tissue samples from pathologically confirmed frontotemporal lobar degeneration, and in silico techniques to identify and characterize protein interaction networks associated with svPPA risk. We identified 64 svPPA risk genes that interact at the protein level. The protein pathways represented in this svPPA gene network are critical regulators of RNA metabolism and cell death, such as SMAD proteins and NOTCH1. Many of the genes in this network are involved in TDP-43 metabolism. Contrary to the conventional notion that svPPA is a clinical syndrome with few genetic risk factors, our analyses show that svPPA risk is complex and polygenic in nature. Risk for svPPA is likely driven by multiple common variants in genes interacting with TDP-43, along with cell death,x` working in combination to promote neurodegeneration.
    • Relation:
      info:eu-repo/semantics/altIdentifier/pmid/31350420; PUBMED: 31350420; PUBMEDCENTRAL: PMC6659677
    • الرقم المعرف:
      10.1038/s41598-019-46415-1
    • الدخول الالكتروني :
      https://hal.sorbonne-universite.fr/hal-04513383
      https://hal.sorbonne-universite.fr/hal-04513383v1/document
      https://hal.sorbonne-universite.fr/hal-04513383v1/file/s41598-019-46415-1.pdf
      https://doi.org/10.1038/s41598-019-46415-1
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.D3E723B5