John Tynan

Noninvasive detection of fetal trisomy 21 by sequencing of DNA in maternal blood: a study in a clinical setting

OBJECTIVE We sought to evaluate a multiplexed massively parallel shotgun sequencing assay for noninvasive trisomy 21 detection using circulating cell-free fetal DNA. STUDY DESIGN Sample multiplexing and cost-optimized reagents were evaluated as improvements to a noninvasive fetal trisomy 21 detection assay. A total of 480 plasma samples from high-risk pregnant women were employed. RESULTS In all, 480 prospectively collected samples were obtained from our third-party storage site; 13 of these were removed due to insufficient quantity or quality. Eighteen samples failed prespecified assay quality control parameters. In all, 449 samples remained: 39 trisomy 21 samples were correctly classified; 1 sample was misclassified as trisomy 21. The overall classification showed 100% sensitivity (95% confidence interval, 89-100%) and 99.7% specificity (95% confidence interval, 98.5-99.9%). CONCLUSION Extending the scope of previous reports, this study demonstrates that plasma DNA sequencing is a viable method for noninvasive detection of fetal trisomy 21 and warrants clinical validation in a larger multicenter study.

Noninvasive prenatal detection of sex chromosomal aneuploidies by sequencing circulating cell-free DNA from maternal plasma

Whole‐genome sequencing of circulating cell free (ccf) DNA from maternal plasma has enabled noninvasive prenatal testing for common autosomal aneuploidies. The purpose of this study was to extend the detection to include common sex chromosome aneuploidies (SCAs): [47,XXX], [45,X], [47,XXY], and [47,XYY] syndromes.

High-throughput massively parallel sequencing for fetal aneuploidy detection from maternal plasma.

Background Circulating cell-free (ccf) fetal DNA comprises 3–20% of all the cell-free DNA present in maternal plasma. Numerous research and clinical studies have described the analysis of ccf DNA using next generation sequencing for the detection of fetal aneuploidies with high sensitivity and specificity. We sought to extend the utility of this approach by assessing semi-automated library preparation, higher sample multiplexing during sequencing, and improved bioinformatic tools to enable a higher throughput, more efficient assay while maintaining or improving clinical performance. Methods Whole blood (10mL) was collected from pregnant female donors and plasma separated using centrifugation. Ccf DNA was extracted using column-based methods. Libraries were prepared using an optimized semi-automated library preparation method and sequenced on an Illumina HiSeq2000 sequencer in a 12-plex format. Z-scores were calculated for affected chromosomes using a robust method after normalization and genomic segment filtering. Classification was based upon a standard normal transformed cutoff value of z = 3 for chromosome 21 and z = 3.95 for chromosomes 18 and 13. Results Two parallel assay development studies using a total of more than 1900 ccf DNA samples were performed to evaluate the technical feasibility of automating library preparation and increasing the sample multiplexing level. These processes were subsequently combined and a study of 1587 samples was completed to verify the stability of the process-optimized assay. Finally, an unblinded clinical evaluation of 1269 euploid and aneuploid samples utilizing this high-throughput assay coupled to improved bioinformatic procedures was performed. We were able to correctly detect all aneuploid cases with extremely low false positive rates of 0.09%, <0.01%, and 0.08% for trisomies 21, 18, and 13, respectively. Conclusions These data suggest that the developed laboratory methods in concert with improved bioinformatic approaches enable higher sample throughput while maintaining high classification accuracy.

Detection of Fetal Subchromosomal Abnormalities by Sequencing Circulating Cell-Free DNA from Maternal Plasma

BACKGROUND The development of sequencing-based noninvasive prenatal testing (NIPT) has been largely focused on whole-chromosome aneuploidies (chromosomes 13, 18, 21, X, and Y). Collectively, they account for only 30% of all live births with a chromosome abnormality. Various structural chromosome changes, such as microdeletion/microduplication (MD) syndromes are more common but more challenging to detect. Recently, several publications have shown results on noninvasive detection of MDs by deep sequencing. These approaches demonstrated the proof of concept but are not economically feasible for large-scale clinical applications. METHODS We present a novel approach that uses low-coverage whole genome sequencing (approximately 0.2×) to detect MDs genome wide without requiring prior knowledge of the events location. We developed a normalization method to reduce sequencing noise. We then applied a statistical method to search for consistently increased or decreased regions. A decision tree was used to differentiate whole-chromosome events from MDs. RESULTS We demonstrated via a simulation study that the sensitivity difference between our method and the theoretical limit was <5% for MDs ≥9 Mb. We tested the performance in a blinded study in which the MDs ranged from 3 to 40 Mb. In this study, our algorithm correctly identified 17 of 18 cases with MDs and 156 of 157 unaffected cases. CONCLUSIONS The limit of detection for any given MD syndrome is constrained by 4 factors: fetal fraction, MD size, coverage, and biological and technical variability of the event region. Our algorithm takes these factors into account and achieved 94.4% sensitivity and 99.4% specificity.

Determination of fetal DNA fraction from the plasma of pregnant women using sequence read counts

This study introduces a novel method, referred to as SeqFF, for estimating the fetal DNA fraction in the plasma of pregnant women and to infer the underlying mechanism that allows for such statistical modeling.

Multiplexed analysis of circulating cell-free fetal nucleic acids for noninvasive prenatal diagnostic RHD testing.

OBJECTIVE The objective of the study was the evaluation of a novel multiplex assay to detect fetal Rh blood group D-antigen gene (RHD) loci in maternal plasma from RhD-negative, pregnant women. STUDY DESIGN An RHD genotyping assay was designed to detect exons 4, 5, 7, and 10 and RHDΨ (pseudogene) of the RHD gene along with a Y chromosome-specific assay and a generic polymerase chain reaction amplification control. Plasma samples from 150 RhD-negative pregnant women were assayed for fetal RHD genotype using the MassARRAY system. RESULTS The fetal RHD status of 148 of 150 samples (98.7%) was correctly classified; 86 (57.3%) and 62 (41.3%) were positive and negative, respectively. CONCLUSION This study demonstrates that noninvasive prenatal diagnostics with a single-reaction multiplexed assay is a viable path toward routine characterization of fetal RHD genotypes using circulating cell-free fetal DNA in maternal plasma on the MassARRAY system and is perhaps preferable to serologic testing as currently used clinically.

Restriction Enzyme–Mediated Enhanced Detection of Circulating Cell-Free Fetal DNA in Maternal Plasma

A universal method confirming the presence of circulating cell-free fetal (ccff) DNA in maternal plasma is important in the field of noninvasive prenatal diagnostics. Restriction endonuclease digestion of one allele of a single-nucleotide polymorphism (SNP) was used to allow detection of paternal alleles in maternal plasma DNA. Multiplexed genotyping of 92 panethnic high-frequency SNPs predicted >0.99 probability of detecting at least four informative loci per sample. Child-maternal paired DNA samples were used to confirm detection of 2% childs heterozygous DNA in a background of maternal DNA homozygous for the digestible allele. By restriction endonuclease digestion of DNA in a PCR cocktail before thermal cycling, 10 genomic copies of a paternal SNP allele were detectable in a background of 990 maternal SNP alleles. A comparison of 154 pregnant and nonpregnant female plasma DNA samples demonstrated enhanced detection of nondigestible SNP alleles in maternal plasma. Receiver operating characteristic curve analysis showed an optimal detection threshold of four nondigestible SNP alleles in plasma for the confirmation of ccff DNA and 98% sensitivity and 96% specificity at a 95% confidence level. Our study demonstrates the ability of this technique to confirm the presence of paternal alleles from ccff DNA in maternal plasma.

Genome-wide cfDNA screening: clinical laboratory experience with the first 10,000 cases

PurposeInvasive diagnostic prenatal testing can provide the most comprehensive information about the genetic status of a fetus. Noninvasive prenatal screening methods, especially when using cell-free DNA (cfDNA), are often limited to reporting only on trisomies 21, 18, and 13 and sex chromosome aneuploidies. This can leave a significant number of chromosomal and subchromosomal copy-number variations undetected. In 2015, we launched a new genome-wide cfDNA screening test that has the potential to narrow this detection gap.MethodsHere, we review the results from the first 10,000 cases submitted to the Sequenom clinical laboratory for genome-wide cfDNA screening.ResultsThe high-risk indication for this cohort differed compared with standard cfDNA screening. More samples were submitted with ultrasound indications (25% compared with 13% for standard cfDNA screening) and fewer for advanced maternal age (51% for genome-wide screening versus 68% for standard cfDNA screening). A total of 554 positive calls were made, of which 164 were detectable only via genome-wide analysis.ConclusionThis reports indicates a difference in utilization compared with standard cfDNA screening, where positivity rates are higher and a large subset of positive calls could not have been made using standard cfDNA screening.

Application of risk score analysis to low‐coverage whole genome sequencing data for the noninvasive detection of trisomy 21, trisomy 18, and trisomy 13

Clinical performance of a low coverage, low cost, massively parallel sequencing (MPS)‐based assay to stratify risk of trisomy 21, 18, and 13 pregnancies was determined.