Mukhametov, Ural,
Lyulin, Sergey,
Borzunov, Dmitry,
Ilyasova, Tatiana,
Gareev, Ilgiz,
Sufianov, Albert (2023) , and daily during intensive care unit admission. T-lymphocytes
analyses performed using a Beckman Coulter
Xu, Dongxiao,
Guo, Jiaojiao,
Zheng, Bingjie,
Wu, Qiaowei,
Gareev, Ilgiz,
Beylerli, Ozal,
Beilerli, Aferin,
Shi, Huaizhang (2023) analyses were performed to identify the risk factors for CHS. Results: A total of 133 patients (141
Kazantseva, A.V.,
Yakovleva, D.V.,
Davydova, Yu. D.,
Kosareva, A.R.,
Valinurov, R.G.,
Khusnutdinova, E.K. (2023) and environmental factors. In past decades several genome-wide association studies (GWAS) and their meta-
analysesNasyrova, Regina F,
Vaiman, Elena E,
Repkina, Vera V,
Khasanova, Aiperi K,
Asadullin, Azat R,
Shipulin, German A,
Altynbekov, Kuanysh S,
Al-Zamil, Mustafa,
Petrova, Marina M,
Shnayder, Natalia A (2023) . The Preferred Reporting Items for Systematic Reviews and Meta-
Analyses (PRISMA) quality scale was used
Gilyazova, Irina,
Ivanova, Elizaveta,
Sinelnikov, Mikhail,
Pavlov, Valentin,
Khusnutdinova, Elza,
Khusnutdinova, Elza,
Beilerli, Aferin,
Mikhaleva, Ludmila,
Liang, Yanchao (2023) Encyclopedia of Genes and Genomes (KEGG)
analyses were performed to investigate the potential molecular
Kazantseva, A.,
Enikeeva, R.,
Takhirova, Z.,
Davydova, Y.,
Mustafin, R.,
Malykh, S.,
Karunas, A.,
Kanapin, A.,
Khusnutdinova, E. (2023) -related phenotypes as outcomes, and the top 25 SNPs from GWAS meta-
analyses and an MR study linking COVID
Baran, M.F.,
Keskin, C.,
Baran, Ay¸se,
Hatipo, A.,
Yildiztekin, M.,
Küçükaydin, S.,
Kurt, K.,
Ho, H.,
Rahman Sarker, Md. Moklesur,
Sufianov, A.,
Beylerli, O.,
Khalilov, R.,
Eftekhari, A. (2023) -vis, FE-SEM, TEM, EDX, AFM, XRD, TG/DT
analyses, and Zetasizer techniques were used to characterize