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)
Neuropsychobiology 2004

Family-based association study between the monoamine oxidase A gene and obesity: implications for psychopharmacogenetic studies.

Solo gli utenti registrati possono tradurre articoli
Entra registrati
Il collegamento viene salvato negli appunti
Beatriz Camarena
Haydee Santiago
Alejandro Aguilar
Elsa Ruvinskis
Jorge González-Barranco
Humberto Nicolini

Parole chiave

Astratto

Family studies have reported that obesity has a strong heritable component. It has been suggested that a neurotransmitter dysfunction could be involved in mental disorders and obesity; therefore, candidate genes in psychiatric disorders could be a risk factor for obesity. We investigated the association between the monoamine oxidase A (MAO-A) gene and obesity. Fifty obese subjects and their parents were included in the study. Two polymorphisms designated EcoRV and upstream variable number tandem repeats of the MAO-A gene were analysed using polymerase chain reaction. For analysis of the families, the transmission disequilibrium test (TDT) was applied. The TDT analysis of the EcoRV polymorphism showed in obese subjects with a body mass index (BMI) >/=35 kg/m(2) a preferential transmission of the low activity-related allele (chi(2)(TDT) = 8.0, p = 0.005). Our findings may provide evidence of a candidate gene involved in obese subjects with a BMI >/=35 kg/m(2).

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