Center for Epidemiology and Population Health, Department of Pediatrics, Baylor College of Medicine, Houston, TX; Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX; Texas Children's Cancer and Hematology Centers, Texas Children's Hospital, Houston, TX.
Birth Defects Epidemiology and Surveillance Branch, Texas Department of State Health Services, Austin, TX; Division of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas School of Public Health Austin Regional Campus, Austin, TX.
Ann Epidemiol. 2021 Jan;53:14-20.e8. doi: 10.1016/j.annepidem.2020.08.006. Epub 2020 Sep 11.
Our objective was to comprehensively evaluate the risk of a broad range of birth defects among offspring of women with diabetes, overall and stratified by pregestational versus gestational diagnosis, using the phenome-wide association (PheWAS) methodology.
We performed a registry linkage study of all live births (>6,500,000) and birth defects cases (>290,000) in Texas, 1999-2015. We ascertained diabetes from birth and fetal death certificates. We calculated prevalence rate ratios (PRR) for phenotypes with ≥10 cases among exposed offspring (n = 130).
Diabetes was associated with the prevalence of any defect (PRR 1.40, 95% confidence interval [CI] 1.38-1.42), multiple defects (PRR 1.86, 95% CI 1.81-1.91), and 60 specific phenotypes, including novel (hypospadias, mitral stenosis) and previously reported phenotypes (renal a-/dysgenesis, spinal anomalies). Pregestational diabetes was a stronger risk factor for any defect (PRR 2.00, 95% CI 1.93-2.07), multiple defects (PRR 3.27, 95% CI 3.11-3.44), and the 60 specific phenotypes evaluated. Gestational diabetes was associated with any defect (PRR 1.21, 95% CI 1.19-1.23) and 47 specific birth defects phenotypes, although associations were weaker than for pregestational diabetes.
The PheWAS is an efficient way to identify risk factors for disease using population-based registry data. Pregestational diabetes is associated with a broader range of phenotypes than previously reported. Because diabetes is diagnosed in 1% of women prior to pregnancy and 6%-9% during pregnancy, our results highlight a significant public health concern.
本研究旨在采用表型全基因组关联分析(PheWAS)方法,全面评估患有糖尿病的女性所生子女的广泛出生缺陷风险,同时按孕前和妊娠期诊断进行分层。
我们对德克萨斯州 1999 年至 2015 年间所有活产儿(>650 万例)和出生缺陷病例(>29 万例)进行了登记链接研究。我们从出生和胎儿死亡证明中确定糖尿病的诊断。我们计算了暴露后代(n=130 例)中≥10 例病例的表型的患病率比值(PRR)。
糖尿病与任何缺陷(PRR 1.40,95%置信区间 [CI] 1.38-1.42)、多种缺陷(PRR 1.86,95% CI 1.81-1.91)和 60 种特定表型的患病率相关,包括新出现的(尿道下裂、二尖瓣狭窄)和以前报道过的表型(肾发育不全/发育不良、脊柱异常)。孕前糖尿病是任何缺陷(PRR 2.00,95% CI 1.93-2.07)、多种缺陷(PRR 3.27,95% CI 3.11-3.44)和 60 种评估特定表型的更强风险因素。妊娠期糖尿病与任何缺陷(PRR 1.21,95% CI 1.19-1.23)和 47 种特定的出生缺陷表型相关,但与孕前糖尿病相比,相关性较弱。
PheWAS 是一种利用基于人群的登记数据识别疾病风险因素的有效方法。与以前报道的相比,孕前糖尿病与更广泛的表型相关。由于糖尿病在怀孕前 1%的女性和怀孕期间 6%-9%的女性中被诊断出来,因此我们的结果突显了一个重大的公共卫生问题。