Medical Genetics Institute, Shaare Zedek Medical Center (SZMC), Bayit Str. 12, P.O.Box 3235, 91031, Jerusalem, Israel.
Braun School of Public Health and Community Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.
J Assist Reprod Genet. 2019 Apr;36(4):727-739. doi: 10.1007/s10815-018-1392-1. Epub 2019 Jan 8.
Pre-implantation genetic diagnosis (PGD) for molecular disorders requires the construction of parental haplotypes. Classically, haplotype resolution ("phasing") is obtained by genotyping multiple polymorphic markers in both parents and at least one additional relative. However, this process is time-consuming, and immediate family members are not always available. The recent availability of massive genomic data for many populations promises to eliminate the needs for developing family-specific assays and for recruiting additional family members. In this study, we aimed to validate population-assisted haplotype phasing for PGD.
Targeted sequencing of CFTR gene variants and ~ 1700 flanking polymorphic SNPs (± 2 Mb) was performed on 54 individuals from 12 PGD families of (a) Full Ashkenazi (FA; n = 16), (b) mixed Ashkenazi (MA; n = 23 individuals with at least one Ashkenazi and one non-Ashkenazi grandparents), or (c) non-Ashkenazi (NA; n = 15) descent. Heterozygous genotype calls in each individual were phased using various whole genome reference panels and appropriate computational models. All computationally derived haplotype predictions were benchmarked against trio-based phasing.
Using the Ashkenazi reference panel, phasing of FA was highly accurate (99.4% ± 0.2% accuracy); phasing of MA was less accurate (95.4% ± 4.5% accuracy); and phasing of NA was predictably low (83.4% ± 6.6% accuracy). Strikingly, for founder mutation carriers, our haplotyping approach facilitated near perfect phasing accuracy (99.9% ± 0.1% and 98.2% ± 2.8% accuracy for W1282X and delF508 carriers, respectively).
Our results demonstrate the feasibility of replacing classical haplotype phasing with population-based phasing with uncompromised accuracy.
用于分子疾病的胚胎植入前遗传学诊断 (PGD) 需要构建父母单倍型。经典地,通过对父母双方和至少一个额外的亲属中的多个多态标记进行基因分型来获得单倍型分辨率(“定相”)。然而,该过程耗时,并且直系亲属并不总是可用的。最近,许多人群的大量基因组数据的可用性有望消除开发特定于家族的检测和招募额外的家族成员的需求。在这项研究中,我们旨在验证用于 PGD 的基于人群的单倍型定相。
对来自 12 个 PGD 家庭的 54 个人进行 CFTR 基因变异和~1700 个侧翼多态性 SNP(±2 Mb)的靶向测序,这些家庭为(a)全阿什肯纳兹人(FA;n=16),(b)混合阿什肯纳兹人(MA;n=23 名至少有一位阿什肯纳兹人和一位非阿什肯纳兹人祖父母的个体)或(c)非阿什肯纳兹人(NA;n=15)血统。使用各种全基因组参考面板和适当的计算模型对每个个体中的杂合基因型进行定相。所有计算得出的单倍型预测均与基于三个人的定相进行基准测试。
使用阿什肯纳兹参考面板,FA 的定相高度准确(99.4%±0.2%准确率);MA 的定相准确率较低(95.4%±4.5%准确率);NA 的定相准确率可预测较低(83.4%±6.6%准确率)。引人注目的是,对于创始人突变携带者,我们的单倍型分析方法可以实现近乎完美的定相准确性(W1282X 和 delF508 携带者的准确率分别为 99.9%±0.1%和 98.2%±2.8%)。
我们的结果证明了用基于人群的定相代替经典的单倍型定相而不降低准确性是可行的。