Timasheva, Y,
Nasibullin, TR,
Tuktarova, IA,
Erdman, VV,
Galiullin, TR,
Zaplakhova, OV,
Bakhtiiarova, KZ (2022) tested using logistic regression analysis under additive
genetic model adjusted for sex. Meta
Balkhiyarova, Z.,
Luciano, R.,
Kaakinen, M.,
Ulrich, A.,
Shmeliov, A.,
Bianchi, M.,
Chioma, L.,
Dallapiccola, B.,
Prokopenko, I.,
Manco, M. (2022) part of the
genetic background. We aimed to
test if weighted
genetic risk scores (GRSs) for T2D
in discovering new
genetic loci associated with hypertension and related traits. However, identifying informative
Johnson, N.,
Maguire, S.,
Morra, A.,
Kapoor, P.M.,
Tomczyk, K.,
Jones, M.E.,
Schoemaker, M.J.,
Gilham, C.,
Bolla, M.K.,
Wang, Q.,
Bermisheva, M. (2021) in the aetiology of breast cancer. The aim of this analysis was to identify
genetic variants that are associated
Timasheva, Y,
Badykov, M,
Akhmadishina, L,
Nasibullin, T,
Badykova, E,
Pushkareva, A,
Plechev, V,
Sagitov, I,
Zagidullin, N (2021) the studied loci and SSS were
tested using logistic regression under recessive
genetic model using sex and age
ПРОБЛЕМЫ И ДОСТИЖЕНИЯ В ИЗУЧЕНИИ КЛИНИКО-ГЕНЕТИЧЕСКИХ АСПЕКТОВ МУКОВИСЦИДОЗААЮПОВА, Г.Р.,
МИННИАХМЕТОВ, И.Р.,
ХУСАИНОВА, Р.И.,
AYUPOVA, G.R.,
MINNIAKHMETOV, I.R.,
KHUSAINOVA, R.I. (2022) PROBLEMS AND ACHIEVEMENTS IN THE STUDY OF CLINICAL AND
GENETIC ASPECTS OF CYSTIC FIBROSIS
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
Kudoyarov, E.R.,
Karimov, D.O.,
Bakirov, A.B.,
Mukhammadieva, G.F.,
Karimova, L.K.,
Galimova, R.R. (2022) detect risk groups relying on, among other things, analysis of workers’
genetic peculiarities