Pang, HY,
Zhang, WH,
Liang, XW,
Zhang, ZQ,
Chen, XL,
Zhao, LY,
Liu, K,
Galiullin, D,
Yang, K,
Chen, XZ,
Hu, JK (2021) markers and develop an effective
prognostic score system to predict the prognosis of GC patients.
Methods
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
Timasheva, Yanina,
Kochetova, Olga,
Balkhiyarova, Zhanna,
Korytina, Gulnaz,
Prokopenko, Inga,
Nouwen, Arie (2025) , we evaluated the
prognostic capability of a polygenic
score model for MetS risk, both independently
Timasheva, Y.,
Balkhiyarova, Z.,
Avzaletdinova, D.,
Rassoleeva, I.,
Morugova, T.V.,
Korytina, G.,
Prokopenko, I.,
Kochetova, O. (2023) that the most informative
prognostic model included weighted polygenic
scores for these five loci, and non
Ivanova, E.,
Gilyazova, I.,
Pavlov, V.,
Izmailov, A.,
Gimalova, G.,
Karunas, A.,
Prokopenko, I.,
Khusnutdinova, E. (2022) The polygenic
scores (PGSs) are developed to help clinicians in distinguishing individuals at high