Department of Medical Genetics, Center for Prenatal Diagnosis, West China Second University Hospital, Sichuan University, Chengdu, China.
Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China.
Prenat Diagn. 2024 Oct;44(11):1344-1353. doi: 10.1002/pd.6639. Epub 2024 Jul 27.
Currently, the most commonly used methods for linkage analysis of pre-implantation genetic testing for monogenic disorders (PGT-M) are next generation sequencing (NGS) and SNP array. We aim to investigate whether the application efficacy of Asian screening array (ASA) in PGT-M preclinical workup for the Chinese population is superior to NGS based single nucleotide polymorphism (SNP) panels.
We conducted a retrospective analysis by reviewing 294 couples from a single center over the past 4 years and compared the detection results between NGS-based SNP panels and ASA. Using the numbers of informative SNPs upstream and downstream flanking of variants, we assessed the detection efficiency of both methods in monogenic diseases, chromosomal microdeletion syndrome and males with de novo variants, among other scenarios.
Results indicate that ASA offers a greater number of informative SNPs compared with NGS-based SNP panels. Additionally, data analysis for ASA is generally more straightforward and may require less computational resources. While ASA can address most PGT-M challenges, we have also identified certain genes in previous tests that are not suitable for PGT-M using ASA.
The application of ASA in PGT-M preclinical workup for Chinese populations has good practical value as it can perform linkage analysis for most genetic variants. However, for certain variants, NGS or other testing methods, such as mutated allele revealed by sequencing with aneuploidy and linkage analysis (MARSALA), may still be necessary for completion.
目前,用于单基因疾病胚胎植入前遗传学检测(PGT-M)连锁分析的最常用方法是下一代测序(NGS)和 SNP 芯片。我们旨在研究亚洲筛查阵列(ASA)在中国人群 PGT-M 临床前检查中的应用效果是否优于基于单核苷酸多态性(SNP)的 NGS 面板。
我们通过回顾过去 4 年来自单一中心的 294 对夫妇进行了回顾性分析,并比较了基于 NGS 的 SNP 面板和 ASA 的检测结果。使用变异上下游侧翼的信息性 SNP 数量,我们评估了两种方法在单基因疾病、染色体微缺失综合征和新生变异男性等情况下的检测效率。
结果表明,ASA 提供的信息性 SNP 数量多于基于 NGS 的 SNP 面板。此外,ASA 的数据分析通常更简单,可能需要更少的计算资源。虽然 ASA 可以解决大多数 PGT-M 挑战,但我们也在之前的测试中发现了某些不适合 ASA 的 PGT-M 的基因。
ASA 在中国人群 PGT-M 临床前检查中的应用具有很好的实用价值,因为它可以对大多数遗传变异进行连锁分析。然而,对于某些变体,NGS 或其他测试方法,如不平衡测序揭示的突变等位基因和连锁分析(MARSALA),可能仍然需要完成。