KAZANTSEVA, A.V.,
DAVYDOVA, YU.D.,
ENIKEEVA, R.F.,
LOBASKOVA, M.M.,
MUSTAFIN, R.N.,
MALYKH, S.B.,
TAKHIROVA, Z.R.,
KHUSNUTDINOVA, E.K. (2020) ), and AVPR1B (rs33911258) genes, and gene-by-environment interactions were
tested with linear regression
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) regression was carried out in the
testing sample (N = 500) from VUR with PGS calculated on a basis of effect
ЭПИГЕНЕТИКА АГРЕССИВНОГО ПОВЕДЕНИЯMUSTAFIN, R.N.,
KHUSNUTDINOVA, E.K.,
KAZANTSEVA, A.V.,
ENIKEEVA, R.F.,
DAVYDOVA, Y.D.,
KARUNAS, A.S.,
MALYKH, S.B.,
МУСТАФИН Р. Н.,
КАЗАНЦЕВА А.В.,
ЕНИКЕЕВА Р.Ф.,
ДАВЫДОВА Ю.Д.,
КАРУНАС А.С.,
МАЛЫХ С.Б.,
ХУСНУТДИНОВА Э.К. (2019) owing to the impaired interaction with noncoding RNAs, which results in modified functioning of
genetic Kazantseva, A.V.,
Davydova, Yu. D.,
Enikeeva, R.F.,
Takhirova, Z.R.,
Mustafin, R.N.,
Lobaskova, M.M.,
Malykh, S.B.,
Khusnutdinova, E.K. (2023) in genotype frequencies of analyzed GWAS-SNPs point to the specific pattern of associated
genetic loci
Kazantseva, A.V.,
Davydova, Yu. D.,
Enikeeva, R.F.,
Mustafin, R.N.,
Lobaskova, M.M.,
Malykh, S.B.,
Khusnutdinova, E.K. (2022) . Together with
genetic variants, the examined regression models included various sociodemographic parameters