Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, 119991, Russia.
Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, 119991, Russia.
Biochemistry (Mosc). 2024 Jun;89(6):1002-1013. doi: 10.1134/S0006297924060026.
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.
目前,通过全基因组关联研究已经确定了许多与各种疾病相关的遗传多态性。大多数具有临床意义的多态性位于基因组的非编码区域。虽然现代生物信息学资源使预测解释非编码多态性对基因表达影响的分子机制成为可能,但这些假设需要实验验证。本综述讨论了阐明疾病发病机制与非编码序列中特定遗传变异之间依赖关系的分子机制的方法。特别关注的是依赖于多态性变化的结合效率的转录因子的鉴定方法。尽管在能够预测多态性对疾病发病机制影响的生物信息学资源方面取得了显著进展,但仍需要通过实验方法来研究这个问题。