Traeger-Synodinos J, Mavroidis N, Kanavakis E, Drogari E, Humphries S E, Day I N, Kattamis C, Matsaniotis N
First Department of Pediatrics, University of Athens, St. Sophia's Children's Hospital, Greece.
Hum Genet. 1998 Mar;102(3):343-7. doi: 10.1007/s004390050703.
This study reports the characterization of 60% of low density lipoprotein receptor (LDLR) gene mutations in 150 unrelated Greek familial hypercholesterolaemia (FH) heterozygous children by the analysis of six LDLR gene mutations. The linkage disequilibrium of two polymorphic microsatellites (D19S394 and D19S221) flanking the LDLR gene on chromosome 19 to the four most common mutations strongly suggests that each mutation is identical-by-descent in the probands included in this study (this is also supported by the geographical distribution of FH families with these mutations throughout Greece) and permits an estimation of the number of generations from a common ancestor for each mutation. The characterization of 60% of LDLR mutations in a representative sample of Greek FH heterozygotes provides a basis for the diagnosis of FH through DNA analysis in Greece, by using single-strand conformation polymorphism analysis followed by allele-specific oligonucleotide hybridization (exon 6 mutations) or restriction endonuclease analysis (C152R, V408M). A rapid diagnostic assay positive for the mutation has been developed for the most common mutation, G528D. The application of simple DNA diagnostic assays for LDLR mutation analysis are appropriate for the early identification of FH heterozygotes in Greece and are useful for the primary prevention of coronary artery disease.
本研究通过对6种低密度脂蛋白受体(LDLR)基因突变进行分析,报告了150名无亲缘关系的希腊家族性高胆固醇血症(FH)杂合子儿童中60%的LDLR基因突变特征。位于19号染色体上LDLR基因两侧的两个多态性微卫星(D19S394和D19S221)与4种最常见突变的连锁不平衡强烈表明,本研究纳入的先证者中每种突变都是同源的(希腊各地具有这些突变的FH家族的地理分布也支持这一点),并允许估计每种突变自共同祖先起的代数。对希腊FH杂合子代表性样本中60%的LDLR突变进行特征分析,为在希腊通过DNA分析诊断FH提供了基础,方法是采用单链构象多态性分析,随后进行等位基因特异性寡核苷酸杂交(外显子6突变)或限制性内切酶分析(C152R、V408M)。针对最常见的突变G528D,已开发出一种对该突变呈阳性的快速诊断检测方法。应用简单的DNA诊断检测方法进行LDLR突变分析,适用于希腊FH杂合子的早期识别,对冠状动脉疾病的一级预防很有用。