Noninvasive Evaluation of Fetal Zygosity in Twin Pregnancies Involving a Binary Analysis of Single-Nucleotide Polymorphisms
نویسندگان
چکیده
Twin pregnancy constitutes significant risks for maternal and fetal health, which is usually detected by ultrasound examination at early gestation. However, the imaging-based approach may not accurately identify all twins confounded practical or clinical variables. The analysis of cell-free DNA in noninvasive prenatal screening assays can completement method twin detection, differentiates fraternal identical based on their distinct genotypes. Here, a new employing high-coverage next-generation sequencing targeted nucleotide polymorphisms was developed detection zygosity determination fraction pregnancies. This utilizes binary both number allelic fetus-specific single-nucleotide to infer zygosity. In 323 samples collected from 215 singleton, 90 dizygotic, 18 monozygotic pregnancies, dizygotic were correctly detected, with 100% sensitivity specificity. addition, this detect complex such as egg donors, contamination, complete hydatidiform mole. change monitored nine demonstrated highly variable dynamics turnover up 7 weeks after reduction. Overall, study provides strategy accurate identification quantification fraction, has important implications management Approximately 3% pregnant women have multiple pregnancy, causes including gestational diabetes, intrauterine growth restriction, preeclampsia, premature delivery.1Collins J. Global epidemiology birth.Reprod Biomed Online. 2007; 15 Suppl 3: 45-52Abstract Full Text PDF Google Scholar,2Norwitz E.R. Edusa V. Park J.S. 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Informed consent obtained participants. For disease-related chromosome copy variations, >2600 probes designed loci frequent chromosomal abnormalities. >200 target without common (≥1% population frequency) variation reported Database Genomic Variants (http://dgv.tcag.ca/dgv/app/home, last accessed August 5, 2019). above had minor allele frequency 30% 70% East Asian, African, non-Finnish European individuals ensure sufficient polymorphism across different populations. To probe hybridization bias between reference alternative alleles, possible nucleotides (A, C, G, T) selected locus corresponding SNP minimum melting temperature difference pairing allele.39Xu Cai Jing Qin Pan Ma Yang Tang Song Qiu Ying H.-F. Genetic deconvolution enables screening.Cell Discov. 109Crossref More 99.0% required ≥200× depth meet coverage quality control requirement assay. perform assay, 5 10 mL each participant. undergoing procedure, points before centrifuged 4°C twice, then extracted Magnetic Serum/Plasma Circulating Maxi Kit (catalog YDP710; TIANGEN, Beijing, China). construct library, end repaired ligated adapters following manufacturer’s 1002212; Nanodigmbio, Nanjing, Sample barcode introduced PCR, PCR products quantified Qubit 1X dsDNA HS Assay Kits Q33231; Thermo Fisher Scientific, Invitrogen, Waltham, MA). After enrichment 1072281; Integrated Technologies, Coralville, IA) HS2008; Heristar, Houston, TX), recovered washed purified Dynamag-270 magnetic beads 65306; Invitrogen). generate 12 cycles amplification Nanodigmbio). Next, concentration library ssDNA Q10212; Finally, sequenced MGISEQ-2000 2 × 100 paired-end mode 1000012554; MGI, Shenzhen, Detailed procedures previous study.39Xu There (170 329 validation) sample size chosen allow authors 10% margin error 90% confidence level data sets. estimated SD given 0.25 mean empirical data. At any biallelic locus, probability carrying informative allele, where mother homozygous heterozygous, calculated (Supplemental Table S1). Let particular p, queried N, N0, N1, N2. expressed follows. Lowercase letters observed values, capital italicized notations only.N0=p2+1−p2∗N(1) N1=p21−p+p1−p2∗N=p1−p∗N(2) N2=p21−p2+p1−p2+p1−p+1−p2p2+p1−p2+p1−p∗N=p1−pp−122+54∗N(3) N2N1=p−122+54≥54(4) N1N0=p1−pp+1−p2≤12(5) N2N0=p1−pp−122+54p2+1−p2≤58(6) Therefore, ≥25% more that twins. B-allele (BAF) heterozygous expected FF/2 (1 – FF/2), being respectively Figure S1, B, Supplemental let FF1 FF2 1 2, respectively; BAF centered around FF1/2, FF2/2 (FF1 + FF2)/2, FF2/2, FF2)/2 C–F, values divided groups genotype (BB AA) among median M1 M2. Then, calculate those BAFs group, σ1 σ2. Take weighted average σave σ2, group. denoted Mdep. corrected variation, σcor, hypergeometric distribution.σcor=σave∗MdepM1∗M2(7) algorithm established utilizing (Figures 2A). (either variant allele) FF. Confirmed validation imaging consistent sex. imaging, showed completely concordant profile singletons respect pattern, described above.Figure 2The (SNPs). A: donor samples. x axis relative abundance SNPs, ratio variants loci; y axis, SNPs. B: An C: 5% contamination. D: molar fetus. (Chr)–specific marked colors. ChrRef, Chr.View Large Image ViewerDownload Hi-res image Download (PPT) X Y reads respective female male respectively. haploid genome copies 1, R1, R2, M, respectively, present sample.FF1=R1R1+M(8) FF2=R2R2+M(9) autosome i, rdai. j, rdxj rdyk, f, paternally inherited rdxff. Now, depths autosome, X, chromosomes RDa, RDx, RDy, Last, RDxf (the twin). rdai, rdxj, These functions Ka, Kx, Ky.RDa=Ka∗2∗R1+R2+M(10) RDx=Kx∗2∗R1+R22+M(11) RDy=Ky∗R2(12) RDxf=Kx∗R1(13) Ky euploid ra, rx, ry nonpregnant training samples, respectively.KxKa=2∗rxra=C1(14) KyKa=2∗ryra=C2(15) On basis Equations 14 15, Kx follows:Kx=C1∗Ka(16) Ky=C2∗Ka(17) computed follows:FF1=2∗C2∗RDxfC1∗C2∗RDa−2∗C1∗RDy(18) FF2=2∗C1∗RDyC1∗C2∗RDa−2∗C2∗RDxf(19) Unlike discriminative same calculation. least heterozygous. combinations genotypes S2), calculated. twins' theoretically six levels discernible C–F). As BB AA loci, twin-specific depth. clusters symmetrically distributed, >0.5, substituted BAF. Now three, BAF1, BAF2, BAF3 ascending order. twins, loss generality, assuming R1 ≤ below. FF, obtain BAF3, especially close other. end, grouped Bayesian-Gaussian mixture model, Gaussian model.40Blei D.M. Jordan M.I. Variational inference Dirichlet process mixtures.Bayesian Analysis. 1: 121-144Crossref 41Attias Advances Neural Information Processing Systems Bayesian Framework Graphical Models. MIT Press, Cambridge, MA2000: 209-215Google 42Pedregosa Varoquaux Gramfort Michel Thirion Grisel O. Blondel Prettenhofer Weiss Dubourg Vanderplas Passos Cournapeau Brucher Perrot Duchesnay É. Scikit-learn: machine learning python.J Mach Learn Res. 2825-2830Google assigned groups, cluster Clusters less five omitted suppress outliers. When there three left, take medians clustered bafm1, bafm2, bafm3.BA
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ژورنال
عنوان ژورنال: The Journal of Molecular Diagnostics
سال: 2023
ISSN: ['1943-7811', '1525-1578']
DOI: https://doi.org/10.1016/j.jmoldx.2023.06.003