KORYTINA, G.F.,
AKHMADISHINA, L.Z.,
KOCHETOVA, O.V.,
NASIBULLIN, T.R.,
AZNABAEVA, Y.G.,
ZULKARNEEV, S.R.,
IZMAǏLOVA, S.M.,
ZAGIDULLIN, S.Z.,
VICTOROVA, T.V. (2021) dominant
model), GRIA1 (rs2195450) (P = 0.015, OR = 1.35 in a dominant
model), GRIN1
(rs6293) (P = 0
ASSOCIATIONS OF THE NRF2/KEAP1 PATHWAY AND ANTIOXIDANT DEFENSE GENE POLYMORPHISMS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASEKorytina, G.F.,
Akhmadishina, L.Z.,
Aznabaeva, Y.G.,
Kochetova, O.V.,
Zagidullin, N.S.,
Kzhyshkowska, J.G.,
Zagidullin, S.Z.,
Viktorova, T.V. (2019) population). Logistic regression was used to detect the association of SNPs in different
models. Linear
KORYTINA, G.F.,
AKHMADISHINA, L.Z.,
KOCHETOVA, O.V.,
VIKTOROVA, T.V.,
AZNABAEVA, Y.G.,
ZAGIDULLIN, N.SH.,
ZAGIDULLIN, SH.Z.,
KZHYSHKOWSKA, J.G (2019) ). Logistic regression was used to detect the association of SNPs in different
models. Linear regression
Korytina, G.F.,
Akhmadishina, L.Z.,
Kochetova, O.V.,
Aznabaeva, Y.G.,
Zagidullin, Sh.Z.,
Victorova, T.V. (2016) , Russia). Logistic regression was used to detect the association of SNPs in different
models. Linear
Korytina, G.F.,
Aznabaeva, Y.G.,
Kochetova, O.V.,
Nasibullin, T.R.,
Akhmadishina, L.Z.,
Khusnutdinova, N.N.,
Zagidullin, N. Sh.,
Victorova, T.V. (2023) controls. Significant associations with COPD in the study group under an additive genetic
model were
models. Linear regression analyses were performed to estimate the relationship between SNPs and lung
shown to be associated with obesity risk following an additive
model, while the MC4R rs12970134 (p = 0
Korytina, G.F.,
Akhmadishina, L.Z.,
Kochetova, O.V.,
Burduk, Yu.V.,
Aznabaeva, Yu.G.,
Zagidullin, Sh.Z.,
Victorova, T.V. (2014) .72) polymorphisms were associated with COPD development in the recessive
model. The nondeletion variant of CYP2A6