Italian
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Journal of Human Genetics 2008

Association study to evaluate the serotonin transporter and apolipoprotein E genes in frontotemporal lobar degeneration in Italy.

Solo gli utenti registrati possono tradurre articoli
Entra registrati
Il collegamento viene salvato negli appunti
Diego Albani
Francesca Prato
Chiara Fenoglio
Sara Batelli
Sabrina Dusi
Stefania De Mauro
Letizia Polito
Carlo Lovati
Daniela Galimberti
Claudio Mariani

Parole chiave

Astratto

Frontotemporal lobar degeneration (FTLD) is a progressive neurodegenerative disorder characterized by behavioral and language disturbances. We performed a case-control association study in the Italian population to assess the relevance for FTLD genetic susceptibility of the serotonin (5-HT) transporter gene-linked polymorphic region [rs4795541, alias short (S)/long (L)] an in/del polymorphism of the promoter region of the gene coding for the 5-HT transporter (SLC6A4). This functional polymorphism was reported to influence the SLC6A4 transcription rate, with the S-allele having a two-fold reduced efficiency. We collected 225 independent subjects (74 sporadic FTLD and 151 age-matched healthy controls, CT) that were genotyped for the rs4795541, the SLC6A4 single nucleotide polymorphisms (SNP) rs25531 and rs6354, and the apolipoprotein E (APOE) allelic variants. A significant correlation [P = 0.018, OR (95% CI): 2.1 (1.1-3.9)] between rs4795541 S-allele presence and FTLD susceptibility was found. In summary, the rs4795541 might be important for FTLD susceptibility in the Italian population.

Unisciti alla nostra
pagina facebook

Il database di erbe medicinali più completo supportato dalla scienza

  • Funziona in 55 lingue
  • Cure a base di erbe sostenute dalla scienza
  • Riconoscimento delle erbe per immagine
  • Mappa GPS interattiva - tagga le erbe sul luogo (disponibile a breve)
  • Leggi le pubblicazioni scientifiche relative alla tua ricerca
  • Cerca le erbe medicinali in base ai loro effetti
  • Organizza i tuoi interessi e tieniti aggiornato sulle notizie di ricerca, sperimentazioni cliniche e brevetti

Digita un sintomo o una malattia e leggi le erbe che potrebbero aiutare, digita un'erba e osserva le malattie ei sintomi contro cui è usata.
* Tutte le informazioni si basano su ricerche scientifiche pubblicate

Google Play badgeApp Store badge