Developing methods of simultaneously analysing occurrence of several birth defects to improve identification of teratogenic medications

许多孕妇在怀孕的前三个月服用处方药或非处方药。在许多情况下，药物对妇女的健康至关重要，无法避免。在某些情况下，正在服用药物的女性可能不知道她怀孕了，直到器官形成开始。一些药物在妊娠早期服用时已知是致畸的，然而，大多数药物对胎儿的风险是不确定的。临床试验并不评估新药对胎儿的可能影响，因为孕妇被故意排除在外，而且由于发育途径的差异，药物对动物模型的影响并不总是与人类相比较。因此，确定致畸药物需要仔细分析临床环境中暴露妊娠中发生的先天性异常的观察数据。虽然约有2-3%的妊娠会受到出生缺陷的影响，但特定的出生缺陷很少。因此，需要对大量的暴露进行分析，以确定对特定出生缺陷的统计学显著影响。以前用于致畸原鉴定的统计方法集中于鉴定单一缺陷的发生率增加。然而，致畸剂暴露往往导致星座的缺陷依赖于时间，剂量和遗传相互作用。对一组出生缺陷的分析可能会产生统计学显著性结果，而对单个缺陷的单独分析则不会，这意味着药物与缺陷模式相关。EUROmediCAT建立了一个独特的数据库，其中包含1995-2016年间来自欧洲15个国家的33，000名母亲在怀孕前三个月处方的药物信息，以及胎儿的先天性异常。该项目将建立在医学统计学硕士（MRC-LID资助）期间开发的定量技能和知识的基础上。将探讨统计和计算方法，并将其应用于EUROmediCAT数据集，以便通过对出生缺陷组的分析，制定一种能够提高识别致畸药物能力的方法。这将提供有关潜在致畸剂的信息，因此将影响这些药物的有针对性的证据收集。这些证据可用于帮助妇女和医疗保健提供者在平衡怀孕期间服用药物的风险和益处时做出更好的决定。

Many pregnant women take prescribed or over-the counter medications in the 1st trimester of their pregnancy. In many cases, the medication is imperative to the health of the woman and cannot be avoided. In some cases, a woman who is taking medication may not know she is pregnant until after organogenesis has begun. Some medications are known to be teratogenic when taken in the 1st trimester of pregnancy, however, the risk to the fetus of most drugs is uncertain. Clinical trials do not assess possible effects of new medications on a fetus as pregnant women are purposefully excluded, and the effects of medications on animal models are not always comparative to humans due to differences in developmental pathways. Identification of teratogenic medications, therefore, requires careful analysis of observational data on congenital anomalies occurring in exposed pregnancies in the clinical setting. Although around 2-3% of pregnancies are affected by a birth defect, specific birth defects are rare. Therefore, the analysis of very large numbers of exposures is required to identify statistically significant effects for specific birth defects. Previous statistical methods for teratogen identification have focused on identifying increased occurrence of single defects. However, teratogen exposure often results in constellations of defects dependant on timing, dosage, and genetic interactions. Analysis of a group of birth defects may produce a statistically significant result when separate analysis of the single defects did not, implicating the medication as associated to the pattern of defects. EUROmediCAT has established a unique database containing information on the medications 33,000 mothers were prescribed during the first trimester of pregnancy, and the congenital anomalies the fetus had, from 15 countries in Europe from 1995-2016. This project will build upon the quantitative skills and knowledge developed during the Medical Statistics MSc (MRC-LID funded). Statistical and computational methods will be explored and applied to the EUROmediCAT dataset, in order to produce a methodology with increased ability to identify teratogenic medications, through the analysis of groups of birth defects. This will provide information on potential teratogens and will therefore influence targeted evidence gathering for these medications. This evidence can be used to help women and healthcare providers make better decisions when balancing the risk and benefit of medications taken during pregnancy.