인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Abstract Background The prevalence of type 2 diabetes mellitus (T2DM) has been increasing rapidly in Iraq over the past few decades. Identifying the most significant factors contributing to the development of T2DM is crucial to reducing its prevalence in this region. Genetics and epigenetics have been shown to play a role in the initiation of T2DM, making it essential to study the genetic variations of diabetic patients to identify common biomarkers associated with this disorder in Iraq. Methods We conducted a systematic review and meta-analysis of published data to identify potential pathological indicators associated with T2DM in Iraq. We searched various databases and included studies that reported the association between genetic biomarkers and T2DM in Iraqi patients. We then analyzed the data using a random-effects model to estimate the overall effect size and identify the most common biomarkers associated with the risk of T2DM. Results We identified 31 explored genes in 41 studies that exhibited the most common biomarkers with a strong association with the risk of T2DM in Iraq. Our exploration embraced genomic, demographic, and sensitivity analyses, enriching insights. Conclusions Our study provides valuable insight into the genetic SNPs associated with T2DM in Iraq and offers a foundation for future research in this area. The identified SNPs can help in the development of personalized treatment options, leading to better disease management and improved patient outcomes. The study also highlights the need for further investigation into potential genetic SNPs and factors that may contribute to the development of T2DM in Iraq. While our study is limited by the sample sizes of some of the included studies, it provides a starting point for researchers seeking to identify common diagnostic markers for T2DM in Iraq.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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