Department of Molecular Medicine, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Ghana.
J Diabetes Res. 2020 Jun 30;2020:3198671. doi: 10.1155/2020/3198671. eCollection 2020.
Sub-Saharan Africa (SSA) is observing an accelerating prevalence rate of type 2 diabetes mellitus (T2DM) influenced by gene-environment interaction of modifiable and nonmodifiable factors. We conducted a systematic review and meta-analysis on the heritability and genetic risk of T2DM in SSA.
We reviewed all published articles on T2DM in SSA between January 2000 and December 2019 and available in PubMed, Scopus, and Web of Science. Studies that reported on the genetics and/or heritability of T2DM or indicators of glycaemia were included. Data extracted included the study design, records of family history, pattern and characteristics of inheritance, genetic determinants, and effects estimates.
The pattern and characteristics of T2DM heritability in SSA are preference for maternal aggregation, higher among first degree compared to second-degree relatives; early age-onset (<50 years), and inherited abnormalities of beta-cell function/mass. The overall prevalence of T2DM was 28.2% for the population with a positive family history (PFH) and 11.2% for the population with negative family history (NFH). The pooled odds ratio of the impact of PFH on T2DM was 3.29 (95% CI: 2.40-4.52). Overall, 28 polymorphisms in 17 genes have been investigated in relation with T2DM in SSA. Almost all studies used the candidate gene approach with most (45.8%) of genetic studies published between 2011 and 2015. Polymorphisms in , , , , , , and were found to be associated with T2DM, with overlapping effect on specific cardiometabolic traits. Genome-wide studies identified ancestry-specific signals (, , and ) and as the only transferable genetic risk variants to SSA population. polymorphism was investigated in multiple studies with consistent effects and low-moderate statistical heterogeneity. Effect sizes were modestly strong [odds ratio = 6.17 (95% CI: 2.03-18.81), codominant model; 2.27 (95% CI: 1.50-3.44), additive model; 1.75 (95% CI: 1.18-2.59), recessive model]. Current evidence on the heritability and genetic markers of T2DM in SSA populations is limited and largely insufficient to reliably inform the genetic architecture of T2DM across SSA regions.
撒哈拉以南非洲(SSA)正经历着 2 型糖尿病(T2DM)流行率的加速上升,这受到可改变和不可改变因素的基因-环境相互作用的影响。我们对 SSA 地区 T2DM 的遗传率和遗传风险进行了系统评价和荟萃分析。
我们检索了 2000 年 1 月至 2019 年 12 月间发表在 PubMed、Scopus 和 Web of Science 上关于 SSA 地区 T2DM 的所有文章。纳入报告 T2DM 遗传和/或遗传率或血糖指标的研究。提取的数据包括研究设计、家族史记录、遗传模式和特征、遗传决定因素和效应估计。
SSA 地区 T2DM 遗传率的模式和特征为母系聚集倾向,一级亲属高于二级亲属;早发(<50 岁),β细胞功能/质量遗传异常。有家族史(PFH)人群的 T2DM 总体患病率为 28.2%,无家族史(NFH)人群为 11.2%。PFH 对 T2DM 影响的汇总优势比为 3.29(95%CI:2.40-4.52)。总体而言,17 个基因中的 28 个多态性与 SSA 地区的 T2DM 相关。几乎所有研究都采用了候选基因方法,其中 45.8%的遗传研究发表于 2011 年至 2015 年期间。发现 、 、 、 、 、 中的多态性与 T2DM 相关,对特定的心血管代谢特征具有重叠作用。全基因组研究确定了特定于祖先的信号( 、 、 )和 作为唯一可转移到 SSA 人群的遗传风险变异。 多态性在多项研究中进行了调查,具有一致的效果和低中度统计异质性。效应大小适度较强[优势比=6.17(95%CI:2.03-18.81),共显性模型;2.27(95%CI:1.50-3.44),加性模型;1.75(95%CI:1.18-2.59),隐性模型]。目前,关于 SSA 人群 T2DM 遗传率和遗传标记的证据有限,且很大程度上不足以可靠地说明整个 SSA 地区 T2DM 的遗传结构。