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
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
Zaplakhova, O. V.,
Nasibullin, T. R.,
Tuktarova, I. A.,
Timasheva, Y. R.,
Erdman, V. V.,
Bakhtiyarova, K. Z.,
Mustafina, O. E. (2018) Multiple sclerosis (MS) is regarded as multifactorial,
polygenic disease; its development
Shnayder, N.A.,
Novitsky, M.A.,
Neznanov, N.G.,
Limankin, O.V.,
Asadullin, A.R.,
Petrov, A.V.,
Dmitrenko, D.V.,
Narodova, E.A.,
Popenko, N.V.,
Nasyrova, R.F. (2022) and depression are
polygenic. The most studied candidate genes are GRIN1, GPM6A, SEPTIN4, TPH1, TPH2, CACNA1C
Korneyev, I.A.,
Alexeeva, T.A.,
Al-Shukri, S.H.,
Bernikov, A.N.,
Erkovich, A.A.,
Kamalov, A.A.,
Kogan, M.I.,
Pavlov, V.N.,
Zhuravlev, V.N.,
Pushkar, D.Y. (2016) of Erectile Function (IIEF)
score and International Prostate Symptom
Score (IPSS) were used for data
Pang, H.-Y.,
Zhao, L.-Y,
Zhang, Z.-Q,
Galiullin, D.,
Chen, X.-L.,
Liu, K.,
Zhang, W.-H.,
Yang, K.,
Chen, X.-Z.,
Hu, J.-K. (2021) . Demographics, surgical, and oncologic outcomes were analyzed. Propensity
score matching (PSM) analysis