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)
DNA and Cell Biology 2012-Feb

Evidence of association between methylenetetrahydrofolate reductase gene and susceptibility to breast cancer: a candidate-gene association study in a South-eastern European population.

Samo registrirani korisnici mogu prevoditi članke
Prijava Registriraj se
Veza se sprema u međuspremnik
Christos N Papandreou
Chrysa Doxani
Nikos Zdoukopoulos
Panagiotis J Vlachostergios
Eleana Hatzidaki
Georgios Bakalos
Dimitris C Ziogas
Theocharis Koufakis
Elias Zintzaras

Ključne riječi

Sažetak

The methylenetetrahydrofolate reductase (MTHFR) gene has been proposed as a candidate gene for breast cancer (BC). However, the specific role of MTHFR polymorphisms and haplotypes has not been fully clarified and replicated. We examined the association of two common MTHFR polymorphisms (C677T and A1298C) and their haplotypes in a candidate-gene association study, involving 300 female patients with BC and 283 healthy women. The single locus analysis for the two polymorphisms revealed an association only for the C677T polymorphism [odds ratio (95% confidence interval), OR=2.05 (1.21-3.48)], but adjustment for age diminished this association [OR=1.76 (0.92-3.42)]. The menopausal status showed no significant effect in the association between the MTHFR polymorphisms and BC. The analysis of haplotypes showed an association for the C677-A1298 haplotypes (p=0.04). The available evidence from our study may support a contributory role of MTHFR polymorphisms in BC development. Future larger studies may help in elucidating the genetics of BC further.

Pridružite se našoj
facebook stranici

Najkompletnija baza ljekovitog bilja potpomognuta znanošću

  • Radi na 55 jezika
  • Biljni lijekovi potpomognuti znanošću
  • Prepoznavanje bilja slikom
  • Interaktivna GPS karta - označite bilje na mjestu (uskoro)
  • Pročitajte znanstvene publikacije povezane s vašom pretragom
  • Pretražite ljekovito bilje po učincima
  • Organizirajte svoje interese i budite u toku s istraživanjem vijesti, kliničkim ispitivanjima i patentima

Upišite simptom ili bolest i pročitajte o biljkama koje bi mogle pomoći, unesite travu i pogledajte bolesti i simptome protiv kojih se koristi.
* Svi podaci temelje se na objavljenim znanstvenim istraživanjima

Google Play badgeApp Store badge