Eckert W A, Jung C, Wolff G
Institute of Human Genetics, University of Freiburg, Germany.
J Med Genet. 1994 Jun;31(6):442-7. doi: 10.1136/jmg.31.6.442.
A panel of five multiallelic and highly informative dinucleotide CA repeat markers flanking the APC gene was used for presymptomatic diagnosis of familial adenomatous polyposis coli (FAP). Marker regions were amplified by PCR. DNA fragments were separated by electrophoresis in denaturing polyacrylamide gels and visualised by ethidium bromide staining. Two or more markers were found to be informative in all nine families tested, and all 23 persons at risk could be diagnosed as affected or unaffected by the disease gene, the probability being > 99.9% in 14 cases from six families in which flanking markers were informative. We found no indication for locus heterogeneity of the disease in our sample. The polyposis phenotype and its extracolonic manifestations co-segregated with a distinct haplotype determined by the markers flanking the APC gene. In one family with no remaining living affected members, we could infer the high risk haplotype from genotyping of first degree relatives. The segregation of this haplotype is consistent with the occurrence of CHRPEs in the progeny. In a sporadic case we made use of the typical early extracolonic manifestations of the disease (osteomas, desmoids) to identify the high risk haplotype. We conclude from our experience that indirect genotyping of FAP with this particular panel of closely linked and highly polymorphic microsatellite markers is a rapid, efficient, and highly reliable method for presymptomatic diagnosis of FAP.
使用位于APC基因两侧的一组五个多等位基因且信息丰富的二核苷酸CA重复标记,对家族性腺瘤性息肉病(FAP)进行症状前诊断。通过PCR扩增标记区域。DNA片段在变性聚丙烯酰胺凝胶中进行电泳分离,并用溴化乙锭染色进行可视化。在所有测试的9个家族中发现两个或更多标记具有信息性,并且所有23名有风险的个体都可以被诊断为受疾病基因影响或未受影响,在6个家族的14例中侧翼标记具有信息性,其概率>99.9%。在我们的样本中未发现该疾病基因座异质性的迹象。息肉病表型及其肠外表现与由APC基因侧翼标记确定的独特单倍型共分离。在一个没有在世受影响成员的家族中,我们可以通过对一级亲属进行基因分型推断出高风险单倍型。该单倍型的分离与子代中CHRPE的出现一致。在一个散发病例中,我们利用该疾病典型的早期肠外表现(骨瘤、硬纤维瘤)来确定高风险单倍型。根据我们的经验,我们得出结论,使用这一特定的紧密连锁且高度多态的微卫星标记组对FAP进行间接基因分型是一种快速、高效且高度可靠的FAP症状前诊断方法。