Timasheva, Y.,
Balkhiyarova, Z.,
Avzaletdinova, D.,
Rassoleeva, I.,
Morugova, T.V.,
Korytina, G.,
Prokopenko, I.,
Kochetova, O. (2023) ability of the model containing
polygenic scores for the variants associated with T2D in our dataset
Kazantseva, Anastasiya,
Davydova, Yuliya,
Enikeeva, Renata,
Mustafin, Rustam,
Malykh, Sergey,
Lobaskova, Marina,
Kanapin, Alexander,
Prokopenko, Inga,
Khusnutdinova, Elza (2023) The risk of depression could be evaluated through its multifactorial nature using the
polygenicKorytina, G.F.,
Aznabaeva, Y.G.,
Kochetova, O.V.,
Nasibullin, T.R.,
Akhmadishina, L.Z.,
Khusnutdinova, N.N.,
Zagidullin, N. Sh.,
Victorova, T.V. (2023) .72). The receiver operating characteristic (ROC)
analysis resulted in an area under the curve (AUC) of 0.895 (95%CI
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) polygenic score (PGS) approach has been performed mainly in Western Europeans and is scarce in Russians
for the development of schizophrenia in a genome-wide association
analysis in Russians, Tatars, and Bashkirs from
Kan, Xiu,
Fan, Yixuan,
Zheng, Jinjie,
Kudreyko, Aleksey,
Chi, Chi-hung,
Song, Wanqing,
Tregubova, Albina (2023) In the security supervision sector, it is the importance of accurate detection and
analysis of the leaf. Phytochemical
analysis of the leaves, stems, and roots confirmed the presence of coumarins