m+Medelevator.RU
← Поиск публикаций
Clinical science (London, England : 1979) · 2026

The devil is in the enhancer: decoding regulatory variation at the ZNF827 locus in SCAD.

СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Soler Eric

Аннотация

Genome-wide association studies have identified numerous susceptibility loci for spontaneous coronary artery dissection (SCAD), yet translating non-coding genetic associations into molecular mechanisms remains a major challenge. In the present issue, Liu et al. provide functional evidence linking the SCAD-associated variant rs13128814 at the ZNF827 locus to the regulation of a vascular smooth muscle cell (SMC)-specific enhancer. The authors show that the risk allele creates a de novo binding site for nuclear factor I (NFI) transcription factors within a developmentally regulated putative enhancer, implicating ZNF827 as a previously unrecognized regulator of vascular biology. The present work illustrates both the power and the complexity of moving from statistical genetic associations to mechanistic insight. It highlights a regulatory relationship between NFI transcription factors and ZNF827 during SMC differentiation, providing new insights into the molecular basis of SCAD. Importantly, the study also underscores the context-dependent nature of enhancer activity and emphasizes the need for a deeper understanding of enhancer grammar, chromatin context, and transcription factor cooperativity to accurately predict the functional consequences of non-coding variation. Overall, the work advances our understanding of SCAD pathogenesis while illustrating the broader challenges of decoding regulatory variation. Integrating human genetics with functional genomics, genome engineering, and predictive computational models will be essential for establishing causal links between non-coding variation and vascular disease.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты