VA Eastern Colorado Healthcare System, Aurora, Colorado, USA.
Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Alzheimers Dement. 2023 Oct;19(10):4367-4376. doi: 10.1002/alz.13373. Epub 2023 Jul 7.
Diabetes and dementia are diseases of high health-care burden worldwide. Individuals with diabetes have 1.4 to 2.2 times higher risk of dementia. Our objective was to evaluate evidence of causality between these two common diseases.
We conducted a one-sample Mendelian randomization (MR) analysis in the US Department of Veterans Affairs Million Veteran program. The study included 334,672 participants ≥65 years of age with type 2 diabetes and dementia case-control status and genotype data.
For each standard deviation increase in genetically predicted diabetes, we found increased odds of three dementia diagnoses in non-Hispanic White participants (all-cause: odds ratio [OR] = 1.07 [1.05-1.08], P = 3.40E-18; vascular: OR = 1.11 [1.07-1.15], P = 3.63E-09, Alzheimer's disease [AD]: OR = 1.06 [1.02-1.09], P = 6.84E-04) and non-Hispanic Black participants (all-cause: OR = 1.06 [1.02-1.10], P = 3.66E-03, vascular: OR = 1.11 [1.04-1.19], P = 2.20E-03, AD: OR = 1.12 [1.02-1.23], P = 1.60E-02) but not in Hispanic participants (all P > 0.05).
We found evidence of causality between diabetes and dementia using a one-sample MR study, with access to individual level data, overcoming limitations of prior studies using two-sample MR techniques.
糖尿病和痴呆是全球医疗负担很高的疾病。患有糖尿病的个体患痴呆症的风险增加 1.4 至 2.2 倍。我们的目的是评估这两种常见疾病之间因果关系的证据。
我们在美国退伍军人事务部百万退伍军人计划中进行了一项单样本 Mendelian 随机化(MR)分析。该研究包括 334672 名年龄≥65 岁的 2 型糖尿病和痴呆病例对照状态及基因型数据的参与者。
对于每个标准偏差增加的遗传预测糖尿病,我们发现非西班牙裔白种人参与者中三种痴呆诊断的几率增加(所有原因:比值比 [OR] = 1.07 [1.05-1.08],P = 3.40E-18;血管性:OR = 1.11 [1.07-1.15],P = 3.63E-09,阿尔茨海默病 [AD]:OR = 1.06 [1.02-1.09],P = 6.84E-04)和非西班牙裔黑种人参与者(所有原因:OR = 1.06 [1.02-1.10],P = 3.66E-03,血管性:OR = 1.11 [1.04-1.19],P = 2.20E-03,AD:OR = 1.12 [1.02-1.23],P = 1.60E-02),但西班牙裔参与者则不然(所有 P > 0.05)。
我们使用单样本 MR 研究发现了糖尿病和痴呆之间的因果关系证据,该研究可获得个体水平数据,克服了使用两样本 MR 技术的先前研究的局限性。