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ASSOCIATIONS BETWEEN XRCC1 GENE POLYMORPHISMS AND ATHEROSCLEROSIS-INDUCED DISEASESстатья Исследовательская статья
Статья опубликована в журнале из списка RSCI Web of Science
Статья опубликована в журнале из перечня ВАКДата последнего поиска статьи во внешних источниках: 19 июня 2024 г.
- Авторы: TIMOFEEVA S.V., SHERCHKOVA T.A., SHKURAT T.P.
- Журнал: Медицинская генетика
- Том: 21
- Номер: 6
- Год издания: 2022
- Издательство: Гениус Медиа
- Местоположение издательства: М.
- Первая страница: 49
- Последняя страница: 58
- DOI: 10.25557/2073-7998.2022.06.49-58
- Аннотация: Genetic variations that influence DNA repair efficiency potentially may contribute to atherosclerosis-indused diseases susceptibility. We identified eligible studies through a comprehensive literature search to determine whether an association exists between XRCC1 gene polymorphism with such atherosclerosis-indused diseases as coronary artery disease (CAD) and infarct. Findings were assessed using the odds ratio (OR) and corresponding 95% confidence interval (CI), which were calculated using a fixed- or random-effects model, based on the heterogeneity of the studies. 6 eligible studies were finally included in this meta-analysis. Our pooled analysis found that XRCC1 polymorphisms were significantly associated with atherosclerosis-indused diseases susceptibility in homozygote comparisons (Arg194Trp in a total population: OR = 1.42, 95% CI = 1.07-1.89; Arg399Gln in a Caucasian population: OR = 1.68, 95% CI = 1.07-2.63; Arg399Gln in a total population: OR = 1.46, 95% CI = 1.10-1.92) and under dominant genetic model (Arg194Trp in a total population: OR = 0.66, 95% CI = 0.5-0.86; Arg399Gln in a Caucasian population: OR = 0.65, 95% CI = 0.43-1.00; Arg399Gln in a total population: OR = 0.71, 95% CI = 0.54-0.93). Based on our meta-analysis, we concluded that the XRCC1 gene polymorphisms, Arg194Trp and Arg399Gln, may be associated with CAD and stroke susceptibility. However, additional, comprehensive and well-designed studies are warranted to confirm these findings.
- Добавил в систему: Тимофеева Софья Владимировна
Прикрепленные файлы
| № | Имя | Описание | Имя файла | Размер | Добавлен |
|---|---|---|---|---|---|
| 1. | Краткий текст | Med_Genetika_Timofeeva_2022.pdf | 210,4 КБ | 11 декабря 2023 [TimofeevaSofiaVladimirovna] |