Universal Targeted Haplotyping by Droplet Digital PCR Sequencing and Its Applications in Noninvasive Prenatal Testing and Pharmacogenetics Analysis

单倍型 单核苷酸多态性 遗传学 放大器 数字聚合酶链反应 生物 等位基因 基因型 计算生物学 聚合酶链反应 基因
作者
Wanxia Gai,Guangya Wang,W.K. Jacky Lam,Liz Y. P. Yuen,Peiyong Jiang,Stephanie C Y Yu,Tak Yeung Leung,So Ling Lau,Y. M. Dennis Lo,K.C. Allen Chan
出处
期刊:Clinical Chemistry [American Association for Clinical Chemistry]
标识
DOI:10.1093/clinchem/hvae076
摘要

Abstract Background The analysis of haplotypes of variants is important for pharmacogenomics analysis and noninvasive prenatal testing for monogenic diseases. However, there is a lack of robust methods for targeted haplotyping. Methods We developed digital PCR haplotype sequencing (dHapSeq) for targeted haplotyping of variants, which is a method that compartmentalizes long DNA molecules into droplets. Within one droplet, 2 target regions are PCR amplified from one template molecule, and their amplicons are fused together. The fused products are then sequenced to determine the phase relationship of the single nucleotide polymorphism (SNP) alleles. The entire haplotype of 10s of SNPs can be deduced after the phase relationship of individual SNPs are determined in a pairwise manner. We applied dHapSeq to noninvasive prenatal testing in 4 families at risk for thalassemia and utilized it to detect NUDT15 diplotypes for predicting drug tolerance in pediatric acute lymphoblastic leukemia (72 cases and 506 controls). Results For SNPs within 40 kb, phase relation can be determined with 100% accuracy. In 7 trio families, the haplotyping results for 97 SNPs spanning 185 kb determined by dHapSeq were concordant with the results deduced from the genotypes of both parents and the fetus. In 4 thalassemia families, a 19.3-kb Southeast Asian deletion was successfully phased with 97 downstream SNPs, enabling noninvasive determination of fetal inheritance using relative haplotype dosage analysis. In the NUDT15 analysis, the variant status and phase of the variants were successfully determined in all cases and controls. Conclusions The dHapSeq represents a robust and scalable haplotyping approach with numerous clinical and research applications.
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