Your browser doesn't support javascript.
loading
Methods for Functional Characterization of Genetic Polymorphisms of Non-Coding Regulatory Regions of the Human Genome.
Uvarova, Aksinya N; Tkachenko, Elena A; Stasevich, Ekaterina M; Zheremyan, Elina A; Korneev, Kirill V; Kuprash, Dmitry V.
Afiliação
  • Uvarova AN; Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, 119991, Russia. uvarowww@gmail.com.
  • Tkachenko EA; Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, 119991, Russia.
  • Stasevich EM; Faculty of Biology, Lomonosov Moscow State University, Moscow, 119234, Russia.
  • Zheremyan EA; Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, 119991, Russia.
  • Korneev KV; Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, 141700, Russia.
  • Kuprash DV; Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, 119991, Russia.
Biochemistry (Mosc) ; 89(6): 1002-1013, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38981696
ABSTRACT
Currently, numerous associations between genetic polymorphisms and various diseases have been characterized through the Genome-Wide Association Studies. Majority of the clinically significant polymorphisms are localized in non-coding regions of the genome. While modern bioinformatic resources make it possible to predict molecular mechanisms that explain influence of the non-coding polymorphisms on gene expression, such hypotheses require experimental verification. This review discusses the methods for elucidating molecular mechanisms underlying dependence of the disease pathogenesis on specific genetic variants within the non-coding sequences. A particular focus is on the methods for identification of transcription factors with binding efficiency dependent on polymorphic variations. Despite remarkable progress in bioinformatic resources enabling prediction of the impact of polymorphisms on the disease pathogenesis, there is still the need for experimental approaches to investigate this issue.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Polimorfismo Genético / Genoma Humano Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Polimorfismo Genético / Genoma Humano Idioma: En Ano de publicação: 2024 Tipo de documento: Article