Yang Donggui, Liang Hao, Gao Yu, Lin Shaobin, He Zhiming, Gao Jun, Sun Hongyu, Li Qing, Ma Xiaoyan, Ou Xueling
Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University.
Department of Obstetrics, The Sixth Affiliated Hospital of Sun Yat-sen University.
Transfusion. 2017 Jun;57(6):1505-1514. doi: 10.1111/trf.14077. Epub 2017 Mar 10.
Researchers have sought to develop a noninvasive protocol for paternity analysis that uses fetal cell-free DNA (cfDNA) in maternal plasma. Massively parallel sequencing (MPS) is expected to overcome this challenge because it enables the analysis of millions of DNA molecules at a single-base resolution.
Seven women were involved in prenatal paternity testing cases. Before conventional invasive procedures, cfDNA was isolated from maternal plasma. Fetal tissues were then collected, as were blood samples from the alleged fathers. A custom array was designed that targeted 1497 regions containing single-nucleotide polymorphisms. These regions were massively parallel sequenced.
In these seven cases, the mean nonmaternal allele fractions in maternal plasma ranged from 3.22% to 6.17%. Setting the allele fraction cutoff of 2.5%, 300 to 491 loci were considered informative for paternal origin and no genetic incompatibilities with the alleged fathers were found. These results were concordant with those of conventional short tandem repeat genotyping. Validation results performed using fetal samples showed that sequencing noise was completely filtered out, and 78.35% to 99.19% of the paternal alleles were accurately genotyped. The fetal cfDNA concentrations ranged from 7.12% to 13.81%, and the overall sequencing error rates ranged from 0.40% to 0.93%.
In our study, we evaluate a straightforward method that can be used to identify paternal alleles based on analyses of paternal alleles and sequencing errors in maternal plasma. Our results support the notion that an MPS-based method could be utilized in noninvasive fetal genotyping and prenatal paternity analyses.
研究人员一直在寻求开发一种使用母体血浆中胎儿游离DNA(cfDNA)进行亲子鉴定的非侵入性方案。大规模平行测序(MPS)有望克服这一挑战,因为它能够以单碱基分辨率分析数百万个DNA分子。
七名女性参与了产前亲子鉴定案例。在进行传统侵入性操作之前,从母体血浆中分离出cfDNA。然后收集胎儿组织以及被指控父亲的血样。设计了一个定制阵列,靶向包含单核苷酸多态性的1497个区域。对这些区域进行大规模平行测序。
在这七个案例中,母体血浆中平均非母体等位基因比例在3.22%至6.17%之间。将等位基因比例截断值设定为2.5%时,300至491个位点被认为对父系来源具有信息价值,且未发现与被指控父亲存在基因不相容性。这些结果与传统短串联重复基因分型结果一致。使用胎儿样本进行的验证结果表明,测序噪声被完全滤除,78.35%至99.19%的父系等位基因被准确基因分型。胎儿cfDNA浓度在7.12%至13.81%之间,总体测序错误率在0.40%至0.93%之间。
在我们的研究中,我们评估了一种直接的方法,该方法可用于基于母体血浆中父系等位基因分析和测序错误来识别父系等位基因。我们的结果支持基于MPS的方法可用于非侵入性胎儿基因分型和产前亲子鉴定分析这一观点。