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)
International Journal of Molecular Sciences 2014-Aug

Association between phosphatase related gene variants and coronary artery disease: case-control study and meta-analysis.

Samo registrirani korisnici mogu prevoditi članke
Prijava Registriraj se
Veza se sprema u međuspremnik
Xia Han
Lijun Zhang
Zhiqiang Zhang
Zengtang Zhang
Jianchun Wang
Jun Yang
Jiamin Niu

Ključne riječi

Sažetak

Recent studies showed that the serum alkaline phosphatase is an independent predictor of the coronary artery disease (CAD). In this work, we aimed to summarize the association between three phosphatase related single nucleotide polymorphisms (rs12526453, rs11066301 and rs3828329) and the risk of CAD in Han Chinese. Our results showed that the rs3828329 of the ACP1 gene was closely related to the risk of CAD in Han Chinese (OR = 1.45, p = 0.0006). This significant association of rs3828329 with CAD was only found in the females (Additive model: OR = 1.80, p = 0.001; dominant model: OR = 1.69, p = 0.03; recessive model: OR = 1.96, p = 0.0008). Moreover, rs3828329 was likely to exert its effect in females aged 65 years and older (OR = 2.27, p = 0.001). Further meta-analyses showed that the rs12526453 of PHACTR11 gene (OR = 1.14, p < 0.0001, random-effect method) and the rs11066301 of PTPN11 gene (OR = 1.15, p < 0.0001, fixed-effects method) were associated with CAD risk in multiple populations. Our results showed that the polymorphisms rs12526453 and rs11066301 are significantly associated with the CAD risk in multiple populations. The rs3828329 of ACP1 gene is also a risk factor of CAD in Han Chinese females aged 65 years and older.

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