首页> 外文会议>IASTED International Conference on Biomedical Engineering >GENOTYPE-PHENOTYPE CORRELATION IN PATIENTS WITH FIBRILLIN-1 GENE MUTATIONS
【24h】

GENOTYPE-PHENOTYPE CORRELATION IN PATIENTS WITH FIBRILLIN-1 GENE MUTATIONS

机译:纤维蛋白-1基因突变患者的基因型 - 表型相关性

获取原文

摘要

Fibrillin-1 (FBN1) gene mutations are clinically associated with the Marfan syndrome (MFS), an autosomal dominant connective tissue disorder with prominent clinical manifestations in the cardiovascular, musculoskeletal and ocular system. Data of molecular genetic analysis and a catalogue of clinical symptoms were mined in order to discover novel correlations between MFS's genotype and phenotype using hierarchical cluster analysis and logistic regression analysis. A score measure describing the similarity between a patient's clinical symptoms and a characteristic phenotype was introduced. Four different phenotype classes were clustered in patients with classic or suspected MFS. A probabilistic model built on clinical symptoms was established to predict the presence of a FBN1 missense mutation. Highest correlation between a missense mutation, which manifested as ectopia lentis, skeletal major and skin minor criteria, and two out of four clustered phenotypes was found. The probability for the presence of a missense mutation in both phenotype classes is approximately 70%. Genotype-phenotype correlation between FBN1 gene mutations and clinical manifestations may contribute to anticipate the clinical consequences of specific mutations more comprehensively and may be helpful to identify and treat at-risk patients at an early stage of disease.
机译:原纤蛋白-1(FBN1)基因突变在临床上与马凡综合征(MFS),一种常染色体显性结缔组织疾病与心血管,骨骼肌肉和眼系统突出的临床表现有关。分子遗传分析和临床症状的目录的数据,以发现MFS的基因型和表型使用聚类分析和Logistic回归分析之间新颖相关性进行开采。描述病人的临床症状和表型特征之间的相似性得分度量进行了介绍。四种不同的表型类患者经典或怀疑MFS呈簇状。建立在临床症状的概率模型,建立了预测FBN1错义突变的存在。错义突变之间的相关性最高,这表现为晶状体异位,骨骼的主要和次要的皮肤标准,四分之二的聚集表型被发现。对于一个错义突变的两个表型类的存在的概率是大约70%。 FBN1基因突变和临床表现之间的基因型 - 表型相关可能有助于更全面地预测特定突变的临床后果,并可能有助于识别和治疗高危患者在疾病的早期阶段。

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号