Slovenian
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)
European Journal of Clinical Investigation 2018-Oct

SOX6 rs7117858 polymorphism is associated with osteoporosis and obesity-related phenotypes.

Samo registrirani uporabniki lahko prevajajo članke
Prijava / prijava
Povezava se shrani v odložišče
María Correa-Rodríguez
Jacqueline Schmidt-RioValle
Blanca Rueda-Medina

Ključne besede

Povzetek

BACKGROUND

SOX6 has been recently proposed as a pleiotropic gene for obesity and osteoporosis. The aim of this study was to investigate whether the rs7117858 genetic variant in SOX6 was associated with bone mass assessed by quantitative ultrasound (QUS) and obesity-related measures in a population of young adults.

METHODS

A cross-sectional study was conducted in 550 unrelated healthy individuals of Caucasian ancestry (381 (69.3%) female and 169 (30.7%) male; mean age 20.46 ± 2.69). Bone mass was assessed through calcaneal QUS) parameter (BUA, dB/MHz). Obesity-related traits including weight, body mass index (BMI), fat mass (FM) and fat-free mass (FFM) were analysed.

RESULTS

The linear regression analysis revealed that the rs7117858 SNP was significantly associated with FFM after adjustments for covariables in the whole sample (P = 0.027, β (95% CI) = 0.053 (0.092, 1.516). In addition, a significant association with QUS measurement adjusted for confounding factors was found in females (P = 0.043, β (95% CI) = 0.104 (0.138. 8.384).

CONCLUSIONS

We demonstrate for the first time that SOX6 influence FFM and QUS trait in a population of young adults, suggesting the implication of this gene in obesity and osteoporosis-related phenotypes during early adulthood.

Pridružite se naši
facebook strani

Najbolj popolna baza zdravilnih zelišč, podprta z znanostjo

  • Deluje v 55 jezikih
  • Zeliščna zdravila, podprta z znanostjo
  • Prepoznavanje zelišč po sliki
  • Interaktivni GPS zemljevid - označite zelišča na lokaciji (kmalu)
  • Preberite znanstvene publikacije, povezane z vašim iskanjem
  • Iščite zdravilna zelišča po njihovih učinkih
  • Organizirajte svoje interese in bodite na tekočem z raziskavami novic, kliničnimi preskušanji in patenti

Vnesite simptom ali bolezen in preberite o zeliščih, ki bi lahko pomagala, vnesite zelišče in si oglejte bolezni in simptome, proti katerim se uporablja.
* Vse informacije temeljijo na objavljenih znanstvenih raziskavah

Google Play badgeApp Store badge