Unité de Génétique Forensique, Centre Universitaire Romand de Médecine Légale, Centre Hospitalier Universitaire Vaudois et Université de Lausanne, Lausanne, 1011, Switzerland.
Hum Mutat. 2013 Apr;34(4):644-54. doi: 10.1002/humu.22280. Epub 2013 Mar 5.
Samples containing highly unbalanced DNA mixtures from two individuals commonly occur both in forensic mixed stains and in peripheral blood DNA microchimerism induced by pregnancy or following organ transplant. Because of PCR amplification bias, the genetic identification of a DNA that contributes trace amounts to a mixed sample represents a tremendous challenge. This means that standard genetic markers, namely microsatellites, also referred as short tandem repeats (STR), and single-nucleotide polymorphism (SNP) have limited power in addressing common questions of forensic and medical genetics. To address this issue, we developed a molecular marker, named DIP-STR that relies on pairing deletion-insertion polymorphisms (DIP) with STR. This novel analytical approach allows for the unambiguous genotyping of a minor component in the presence of a major component, where DIP-STR genotypes of the minor were successfully procured at ratios up to 1:1,000. The compound nature of this marker generates a high level of polymorphism that is suitable for identity testing. Here, we demonstrate the power of the DIP-STR approach on an initial set of nine markers surveyed in a Swiss population. Finally, we discuss the limitations and potential applications of our new system including preliminary tests on clinical samples and estimates of their performance on simulated DNA mixtures.
含有来自两个个体的高度不平衡 DNA 混合物的样本在法医混合污渍和由妊娠或器官移植引起的外周血 DNA 微嵌合体中经常出现。由于 PCR 扩增偏倚,对混合样本中痕量贡献的 DNA 的遗传鉴定代表了一个巨大的挑战。这意味着标准遗传标记,即微卫星,也称为短串联重复(STR)和单核苷酸多态性(SNP),在解决法医和医学遗传学的常见问题方面的能力有限。为了解决这个问题,我们开发了一种分子标记物,称为 DIP-STR,它依赖于与 STR 配对的缺失-插入多态性(DIP)。这种新的分析方法允许在存在主要成分的情况下明确鉴定次要成分,其中在高达 1:1000 的比例下成功获得了次要 DIP-STR 基因型。该标记物的复合性质产生了高度多态性,适用于身份测试。在这里,我们在瑞士人群中调查的最初九组标记物上展示了 DIP-STR 方法的威力。最后,我们讨论了我们新系统的局限性和潜在应用,包括对临床样本的初步测试及其在模拟 DNA 混合物上的性能估计。