Damaj-Fourcade Rayanne, Meyer Nicolas, Obringer Cathy, Le May Nicolas, Calmels Nadège, Laugel Vincent
INSERM CIC 1434, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.
GMRC, Service de Santé Publique, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.
Front Genet. 2022 Feb 17;13:762047. doi: 10.3389/fgene.2022.762047. eCollection 2022.
Cockayne syndrome is a rare condition that encompasses a very wide spectrum of clinical severity. Mutations upstream of a transposon called PiggyBac Transposable Element Derived 3 in intron 5 of the gene could bring about less severe forms than mutations located downstream of that transposon insertion. Our aim was to study genotype-phenotype correlation by determining whether the position of each mutation of the gene has an impact on the phenotype. A hundred and forty-seven Cockayne patients, who had two pathogenic mutations in the gene and for whom clinical data was available, were retrospectively selected and included in the study. Data analysis was performed under the Bayesian paradigm. Analysis of the proportion of the different subtypes of Cockayne syndrome according to the position of the mutations was done using an ordinal logistic regression model. Using a vague prior, the risk of developing a more severe subtype when exposed to 2 mutations downstream compared to 2 mutations upstream was 2.0 [0.9-4.5]. Estimations varied through the sensitivity analysis. We could reasonably conclude that a relationship between the number of downstream mutations and the Cockayne syndrome clinical expression exists but it is still difficult to give a precise estimate of this relationship. The real effect could be more complex that the one described in the initial model and other genetic factors might be taken into consideration together with the mutation site to better explain clinical variability.
科凯恩综合征是一种罕见疾病,临床严重程度范围非常广泛。基因第5内含子中一个名为PiggyBac转座元件衍生3的转座子上游的突变可能导致比该转座子插入下游的突变形式较轻。我们的目的是通过确定该基因每个突变的位置是否对表型有影响来研究基因型-表型相关性。回顾性选择了147名科凯恩患者,他们在该基因中有两个致病突变且有临床数据,并纳入研究。数据分析在贝叶斯范式下进行。使用有序逻辑回归模型根据突变位置分析科凯恩综合征不同亚型的比例。使用模糊先验,与上游2个突变相比,下游暴露于2个突变时发展为更严重亚型的风险为2.0[0.9 - 4.5]。估计值通过敏感性分析而有所不同。我们可以合理地得出结论,下游突变数量与科凯恩综合征临床表型之间存在关系,但仍难以精确估计这种关系。实际效应可能比初始模型中描述的更复杂,并且可能需要将其他遗传因素与突变位点一起考虑,以更好地解释临床变异性。