clinical remission on medication (n=122) than in those who achieved
(n=62). The best
model of inheritance
Kazantseva, A.V.,
Davydova, Yu. D.,
Enikeeva, R.F.,
Yakovleva, D.V.,
Mustafin, R.N.,
Lobaskova, M.M.,
Malykh, S.B.,
Khusnutdinova, E.K. (2023) . The final
model was based on a combined effect of PGS of TERT, TNF, SLC6A4, smoking and maternal protection
URAKOV, A.L.,
MUSTAFIN, I.G.,
NABIULLINA, R.M.,
BASHIROVA, L.I.,
MOCHALOV, K.S.,
SAMORODOV, A.V.,
KHALIULLIN, F.A.,
LIPATOV, D.O.,
KORUNAS, V.I.,
KHALIMOV, A.R. (2020) method for hypercoagulability/hypocoagulability, and the thrombosis
model, using tissue factor (TF
models. Linear regression analyses were performed to estimate the relationship between SNPs and lung
in the swine
model or open beating heart with CPB support on the sheep
model. The posterior mitral leaflet
shown to be associated with obesity risk following an additive
model, while the MC4R rs12970134 (p = 0
Yang, L.,
Luo, W.,
Zhang, Q,
Hong, S.,
Wang, Y.,
Samorodov, A.V.,
Chattipakorn, N.,
Pavlov, V.N.,
Liang, G. (2021) potent anti-inflammatory efficacy in several disease
models, which could be the potential candidates
Guan, XX,
Zhang, YW,
Gareev, I,
Beylerli, O,
Li, XY,
Lu, GT,
Lv, L,
Hai, X (2021) on chromosome 10 (PTEN).
Methods: This study was comprised of two
models: oxygen-glucose deprivation (OGD
Timasheva, Y,
Nasibullin, TR,
Tuktarova, IA,
Erdman, VV,
Galiullin, TR,
Zaplakhova, OV,
Bakhtiiarova, KZ (2022) tested using logistic regression analysis under additive genetic
model adjusted for sex. Meta