Genome-Wide Sequencing of Cell-Free DNA Identifies Copy-Number Alterations That Can Be Used for Monitoring Response to Immunotherapy in Cancer Patients.

Inhibitors of the PD-1/PD-L1/CTLA-4 immune checkpoint pathway have revolutionized cancer treatment. Indeed, some patients with advanced, refractory malignancies achieve durable responses; however, only a subset of patients benefit, necessitating new biomarkers to predict outcome. Interrogating cell-free DNA (cfDNA) isolated from plasma (liquid biopsy) provides a promising method for monitoring response. We describe the use of low-coverage, genome-wide sequencing of cfDNA, validated extensively for noninvasive prenatal testing, to detect tumor-specific copy-number alterations, and the development of a new metric-the genome instability number (GIN)-to monitor response to these drugs. We demonstrate how the GIN can be used to discriminate clinical response from progression, differentiate progression from pseudoprogression, and identify hyperprogressive disease. Finally, we provide evidence for delayed kinetics in responses to checkpoint inhibitors relative to molecularly targeted therapies. Overall, these data demonstrate a proof of concept for using this method for monitoring treatment outcome in patients with cancer receiving immunotherapy.

Incidental Detection of Maternal Neoplasia in Noninvasive Prenatal Testing.

BACKGROUND: Noninvasive prenatal testing (NIPT) uses cell-free DNA (cfDNA) as an analyte to detect copy-number alterations in the fetal genome. Because maternal and fetal cfDNA contributions are comingled, changes in the maternal genome can manifest as abnormal NIPT results. Circulating tumor DNA (ctDNA) present in cases of maternal neoplasia has the potential to distort the NIPT readout to a degree that prevents interpretation, resulting in a nonreportable test result for fetal aneuploidy. METHODS: NIPT cases that showed a distortion from normal euploid genomic representation were communicated to the caregiving physician as nonreportable for fetal aneuploidy. Follow-up information was subsequently collected for these cases. More than 450000 pregnant patients who submitted samples for clinical laboratory testing >3 years are summarized. Additionally, in-depth analysis was performed for >79000 research-consented samples. RESULTS: In total, 55 nonreportable NIPT cases with altered genomic profiles were cataloged. Of these, 43 had additional information available to enable follow-up. A maternal neoplasm was confirmed in 40 of these cases: 18 malignant, 20 benign uterine fibroids, and 2 with radiological confirmation but without pathological classification. CONCLUSIONS: In a population of pregnant women who submitted a blood sample for cfDNA testing, an abnormal genomic profile not consistent with fetal abnormalities was detected in about 10 out of 100000 cases. A subset of these observations (18 of 43; 41.9%) was attributed to maternal malignant neoplasms. These observational results suggest the need for a controlled trial to evaluate the potential of using cfDNA as an early biomarker of cancer.

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.

Using Targeted Sequencing of Paralogous Sequences for Noninvasive Detection of Selected Fetal Aneuploidies.

BACKGROUND: Current methods for noninvasive prenatal testing (NIPT) ascertain fetal aneuploidies using either direct counting measures of DNA fragments from specific genomic regions or relative measures of single nucleotide polymorphism frequencies. Alternatively, the ratios of paralogous sequence pairs were predicted to reflect fetal aneuploidy. We developed a NIPT assay that uses paralog sequences to enable noninvasive detection of fetal trisomy 21 (T21) and trisomy 18 (T18) using cell-free DNA (cfDNA) from maternal plasma. METHODS: A total of 1060 primer pairs were designed to determine fetal aneuploidy status, fetal sex, and fetal fraction. Each library was prepared from cfDNA by coamplifying all 1060 target pairs together in a single reaction well. Products were measured using massively parallel sequencing and deviations from expected paralog ratios were determined based on the read depth from each paralog. RESULTS: We evaluated this assay in a blinded set of 480 cfDNA samples with fetal aneuploidy status determined by the MaterniT21® PLUS assay. Samples were sequenced (mean = 2.3 million reads) with 432 samples returning a result. Using the MaterniT21 PLUS assay for paired plasma aliquots from the same individuals as a reference, all 385 euploid samples, all 31 T21 samples, and 14 of 16 T18 samples were detected with no false positive results observed. CONCLUSIONS: This study introduces a novel NIPT aneuploidy detection approach using targeted sequencing of paralog motifs and establishes proof-of-concept for a potentially low-cost, highly scalable method for the identification of selected fetal aneuploidies with performance and nonreportable rate similar to other published methods.

Clinical validation of a noninvasive prenatal test for genomewide detection of fetal copy number variants.

BACKGROUND: Current cell-free DNA assessment of fetal chromosomes does not analyze and report on all chromosomes. Hence, a significant proportion of fetal chromosomal abnormalities are not detectable by current noninvasive methods. Here we report the clinical validation of a novel noninvasive prenatal test (NIPT) designed to detect genomewide gains and losses of chromosomal material ≥7 Mb and losses associated with specific deletions <7 Mb. OBJECTIVE: The objective of this study is to provide a clinical validation of the sensitivity and specificity of a novel NIPT for detection of genomewide abnormalities. STUDY DESIGN: This retrospective, blinded study included maternal plasma collected from 1222 study subjects with pregnancies at increased risk for fetal chromosomal abnormalities that were assessed for trisomy 21 (T21), trisomy 18 (T18), trisomy 13 (T13), sex chromosome aneuploidies (SCAs), fetal sex, genomewide copy number variants (CNVs) ≥7 Mb, and select deletions <7 Mb. Performance was assessed by comparing test results with findings from G-band karyotyping, microarray data, or high coverage sequencing. RESULTS: Clinical sensitivity within this study was determined to be 100% for T21 (95% confidence interval [CI], 94.6-100%), T18 (95% CI, 84.4-100%), T13 (95% CI, 74.7-100%), and SCAs (95% CI, 84-100%), and 97.7% for genomewide CNVs (95% CI, 86.2-99.9%). Clinical specificity within this study was determined to be 100% for T21 (95% CI, 99.6-100%), T18 (95% CI, 99.6-100%), and T13 (95% CI, 99.6-100%), and 99.9% for SCAs and CNVs (95% CI, 99.4-100% for both). Fetal sex classification had an accuracy of 99.6% (95% CI, 98.9-99.8%). CONCLUSION: This study has demonstrated that genomewide NIPT for fetal chromosomal abnormalities can provide high resolution, sensitive, and specific detection of a wide range of subchromosomal and whole chromosomal abnormalities that were previously only detectable by invasive karyotype analysis. In some instances, this NIPT also provided additional clarification about the origin of genetic material that had not been identified by invasive karyotype analysis.

Ultrasensitive Detection of Multiplexed Somatic Mutations Using MALDI-TOF Mass Spectrometry.

Multiplex detection of low-frequency mutations is becoming a necessary diagnostic tool for clinical laboratories interested in noninvasive prognosis and prediction. Challenges include the detection of minor alleles among abundant wild-type alleles, the heterogeneous nature of tumors, and the limited amount of available tissue. A method that can reliably detect minor variants <1% in a multiplexed reaction using a platform amenable to a variety of throughputs would meet these requirements. We developed a novel approach, UltraSEEK, for high-throughput, multiplexed, ultrasensitive mutation detection and used it for detection of mutant sequence mixtures as low as 0.1% minor allele frequency. The process consisted of multiplex PCR, followed by mutation-specific, single-base extension using chain terminators labeled with a moiety for solid phase capture. The captured and enriched products were then identified using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. For verification, we successfully analyzed ultralow fractions of mutations in a set of characterized cell lines, and included a direct comparison to droplet digital PCR. Finally, we verified the specificity in a set of 122 paired tumor and circulating cell-free DNA samples from melanoma patients. Our results show that the UltraSEEK chemistry is a particularly powerful approach for the detection of somatic variants, with the potential to be an invaluable resource to investigators in saving time and material without compromising analytical sensitivity and accuracy.

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

OBJECTIVE: 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. METHODS: Autosomal regional read counts from whole-genome massively parallel single-end sequencing of circulating cell-free DNA (ccfDNA) from the plasma of 25 312 pregnant women were used to train a multivariate model. The pretrained model was then applied to 505 pregnant samples to assess the performance of SeqFF against known methodologies for fetal DNA fraction calculations. RESULTS: Pearson's correlation between chromosome Y and SeqFF for pregnancies with male fetuses from two independent cohorts ranged from 0.932 to 0.938. Comparison between a single-nucleotide polymorphism-based approach and SeqFF yielded a Pearson's correlation of 0.921. Paired-end sequencing suggests that shorter ccfDNA, that is, less than 150 bp in length, is nonuniformly distributed across the genome. Regions exhibiting an increased proportion of short ccfDNA, which are more likely of fetal origin, tend to provide more information in the SeqFF calculations. CONCLUSION: SeqFF is a robust and direct method to determine fetal DNA fraction. Furthermore, the method is applicable to both male and female pregnancies and can greatly improve the accuracy of noninvasive prenatal testing for fetal copy number variation.

Whole genome bisulfite sequencing of cell-free DNA and its cellular contributors uncovers placenta hypomethylated domains.

BACKGROUND: Circulating cell-free fetal DNA has enabled non-invasive prenatal fetal aneuploidy testing without direct discrimination of the maternal and fetal DNA. Testing may be improved by specifically enriching the sample material for fetal DNA. DNA methylation may allow for such a separation of DNA; however, this depends on knowledge of the methylomes of circulating cell-free DNA and its cellular contributors. RESULTS: We perform whole genome bisulfite sequencing on a set of unmatched samples including circulating cell-free DNA from non-pregnant and pregnant female donors and genomic DNA from maternal buffy coat and placenta samples. We find CpG cytosines within longer fragments are more likely to be methylated. Comparison of the methylomes of placenta and non-pregnant circulating cell-free DNA reveal many of the 51,259 identified differentially methylated regions are located in domains exhibiting consistent placenta hypomethylation across millions of consecutive bases. We find these placenta hypomethylated domains are consistently located within regions exhibiting low CpG and gene density. Differentially methylated regions identified when comparing placenta to non-pregnant circulating cell-free DNA are recapitulated in pregnant circulating cell-free DNA, confirming the ability to detect differential methylation in circulating cell-free DNA mixtures. CONCLUSIONS: We generate methylome maps for four sample types at single-base resolution, identify a link between DNA methylation and fragment length in circulating cell-free DNA, identify differentially methylated regions between sample groups, and uncover the presence of megabase-size placenta hypomethylated domains.

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 event's 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.

Noninvasive detection of a balanced fetal translocation from maternal plasma.

BACKGROUND: Massively parallel sequencing of circulating cell free (ccf) DNA from maternal plasma has been demonstrated to be a powerful method for the detection of fetal copy number variations (CNVs). Although the detection of CNVs has been described by multiple independent groups, genomic aberrations resulting in copy number-neutral events including balanced translocations have proven to be more challenging to detect noninvasively from ccf DNA. METHODS: Data modeling was initially performed to evaluate multiple methods, ultimately leveraging the short length of ccf DNA and paired-end sequencing to construct read-specific mapping characteristics. After testing in a model system, we evaluated the methods on ccf DNA isolated from the plasma of a donor known to be carrying a fetus with a balanced translocation [t(8;11)]. Sequencing was performed with Illumina sequencing technology. RESULTS: Our methodology identified the known translocation (P = 1.21 × 10(-8)) and discounted the likelihood of others, enabling the base specific identification of the rearrangement positions. In total, 402 unique sequencing reads spanned the putative breakpoints, of which 76 contained the structural rearrangement. In addition, 38 of the chimeric reads were mapped to each of the resulting derivative chromosomes, supporting the presence of a reciprocal translocation. Finally, we identified a 6-bp deletion present within der(8) that was absent from the der(11) reciprocal rearrangement. CONCLUSIONS: We have developed an algorithm to detect balanced rearrangements and applied our methodology to demonstrate the first proof-of-principle study on the noninvasive detection of a fetal-specific balanced translocation by sequencing ccf DNA from maternal plasma.

Noninvasive prenatal screening for fetal trisomies 21, 18, 13 and the common sex chromosome aneuploidies from maternal blood using massively parallel genomic sequencing of DNA.

OBJECTIVE: The objective of this study was to validate the clinical performance of massively parallel genomic sequencing of cell-free deoxyribonucleic acid contained in specimens from pregnant women at high risk for fetal aneuploidy to test fetuses for trisomies 21, 18, and 13; fetal sex; and the common sex chromosome aneuploidies (45, X; 47, XXX; 47, XXY; 47, XYY). STUDY DESIGN: This was a prospective multicenter observational study of pregnant women at high risk for fetal aneuploidy who had made the decision to pursue invasive testing for prenatal diagnosis. Massively parallel single-read multiplexed sequencing of cell-free deoxyribonucleic acid was performed in maternal blood for aneuploidy detection. Data analysis was completed using sequence reads unique to the chromosomes of interest. RESULTS: A total of 3430 patients were analyzed for demographic characteristics and medical history. There were 137 fetuses with trisomy 21, 39 with trisomy 18, and 16 with trisomy 13 for a prevalence rate of the common autosomal trisomies of 5.8%. There were no false-negative results for trisomy 21, 3 for trisomy 18, and 2 for trisomy 13; all 3 false-positive results were for trisomy 21. The positive predictive values for trisomies 18 and 13 were 100% and 97.9% for trisomy 21. A total of 8.6% of the pregnancies were 21 weeks or beyond; there were no aneuploid fetuses in this group. All 15 of the common sex chromosome aneuploidies in this population were identified, although there were 11 false-positive results for 45,X. Taken together, the positive predictive value for the sex chromosome aneuploidies was 48.4% and the negative predictive value was 100%. CONCLUSION: Our prospective study demonstrates that noninvasive prenatal analysis of cell-free deoxyribonucleic acid from maternal plasma is an accurate advanced screening test with extremely high sensitivity and specificity for trisomy 21 (>99%) but with less sensitivity for trisomies 18 and 13. Despite high sensitivity, there was modest positive predictive value for the small number of common sex chromosome aneuploidies because of their very low prevalence rate.

Fetal Aneuploidy Detection by Cell-Free DNA Sequencing for Multiple Pregnancies and Quality Issues with Vanishing Twins.

Non-invasive prenatal testing (NIPT) by random massively parallel sequencing of maternal plasma DNA for multiple pregnancies is a promising new option for prenatal care since conventional non-invasive screening for fetal trisomies 21, 18 and 13 has limitations and invasive diagnostic methods bear a higher risk for procedure related fetal losses in the case of multiple gestations compared to singletons. In this study, in a retrospective blinded analysis of stored twin samples, all 16 samples have been determined correctly, with four trisomy 21 positive and 12 trisomy negative samples. In the prospective part of the study, 40 blood samples from women with multiple pregnancies have been analyzed (two triplets and 38 twins), with two correctly identified trisomy 21 cases, confirmed by karyotyping. The remaining 38 samples, including the two triplet pregnancies, had trisomy negative results. However, NIPT is also prone to quality issues in case of multiple gestations: the minimum total amount of cell-free fetal DNA must be higher to reach a comparable sensitivity and vanishing twins may cause results that do not represent the genetics of the living sibling, as described in two case reports.

Maternal plasma DNA testing for aneuploidy in pregnancies achieved by assisted reproductive technologies.

PURPOSE: We sought to compare measurements of circulating cell-free DNA as well as Down syndrome test results in women with naturally conceived pregnancies with those conceived using assisted reproductive technologies. METHODS: Data regarding assisted reproductive technologies were readily available from seven enrollment sites participating in an external clinical validation trial of nested case/control design. Measurements of circulating cell-free fetal and total DNA, fetal fraction (ratio of fetal to total DNA), chromosome-specific z-scores, and karyotype results were available for analysis. RESULTS: Analyses were restricted to 632 euploid (5.2% assisted reproductive technologies) and 73 Down syndrome (13.7% assisted reproductive technologies), including 16 twin pregnancies. No differences were found for fetal or total circulating cell-free DNA, or for the fetal fraction in euploid (P = 0.70) or Down syndrome (P = 0.58) pregnancies by method of conception. There appeared to be systematic z-score reductions for chromosomes 21, 18, and 13 in assisted reproductive technologies versus natural euploid pregnancies (P = 0.048, 0.0032, and 0.36, respectively). CONCLUSION: Assisted reproductive technologies and naturally conceived pregnancies contribute similar levels of circulating cell-free DNA into maternal circulation. Small differences in the z-scores of pregnancies achieved by assisted reproductive technologies were observed and do not appear to be test-related artifacts. However, the findings need confirmation before any consideration of changes to testing and reporting protocols.

Optimizing blood collection, transport and storage conditions for cell free DNA increases access to prenatal testing.

OBJECTIVES: Fetal mutations and fetal chromosomal abnormalities can be detected by molecular analysis of circulating cell free fetal DNA (ccffDNA) from maternal plasma. This comprehensive study was aimed to investigate and verify blood collection and blood shipping conditions that enable Noninvasive Prenatal Testing. Specifically, the impact of shipping and storage on the stability and concentration of circulating cell-free DNA (ccfDNA) in Streck® Cell-Free DNA™ Blood Collection Tubes (Streck BCTs, Streck, Omaha NE). These BCTs were designed to minimize cellular degradation, and thus effectively prevent dilution of fetal ccf DNA by maternal genomic DNA, was evaluated. DESIGN AND METHODS: Peripheral venous maternal blood was collected into Streck BCTs to investigate four aspects of handling and processing conditions: (1) time from blood draw to plasma processing; (2) storage temperature; (3) mechanical stress; and (4) lot-to-lot tube variations. RESULTS: Maternal blood stored in Streck BCTs for up to 7 days at ambient temperature provides stable concentrations of ccffDNA. The amount of fetal DNA did not change over a broad range of storage temperatures (4°C, 23°C, 37°C, 40°C), but the amount of total (largely maternal) DNA increased in samples stored at 23°C and above, indicating maternal cell degradation and genomic DNA release at elevated temperatures. Shipping maternal blood in Streck BCTs, did not affect sample quality. CONCLUSIONS: Maternal plasma DNA stabilized for 0 to 7 days in Streck BCTs can be used for non-invasive prenatal molecular applications, when temperatures are maintained within the broad parameters assessed in this study.

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

OBJECTIVE: 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. METHOD: Massively parallel sequencing was performed on ccf DNA isolated from the plasma of 1564 pregnant women with known fetal karyotype. A classification algorithm for SCA detection was constructed and trained on this cohort. Another study of 411 maternal samples from women with blinded-to-laboratory fetal karyotypes was then performed to determine the accuracy of the classification algorithm. RESULTS: In the training cohort, the new algorithm had a detection rate (DR) of 100% (95%CI: 82.3%, 100%), a false positive rate (FPR) of 0.1% (95%CI: 0%, 0.3%), and nonreportable rate of 6% (95%CI: 4.9%, 7.4%) for SCA determination. The blinded validation yielded similar results: DR of 96.2% (95%CI: 78.4%, 99.8%), FPR of 0.3% (95%CI: 0%, 1.8%), and nonreportable rate of 5% (95%CI: 3.2%, 7.7%) for SCA determination CONCLUSION: Noninvasive prenatal identification of the most common sex chromosome aneuploidies is possible using ccf DNA and massively parallel sequencing with a high DR and a low FPR.

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.

DNA sequencing of maternal plasma to identify Down syndrome and other trisomies in multiple gestations.

OBJECTIVE: Studies on prenatal testing for Down syndrome (trisomy 21), trisomy 18, and trisomy 13 by massively parallel shotgun sequencing (MPSS) of circulating cell free DNA have been, for the most part, limited to singleton pregnancies. If MPSS testing is offered clinically, it is important to know if these trisomies will also be identified in multiple pregnancies. METHOD: Among a cohort of 4664 high-risk pregnancies, maternal plasma samples were tested from 25 twin pregnancies (17 euploid, five discordant and two concordant for Down syndrome; one discordant for trisomy 13) and two euploid triplet pregnancies [Correction made here after initial online publication.]. Results were corrected for GC content bias. For each target chromosome (21, 18, and 13), z-scores of 3 or higher were considered consistent with trisomy. RESULTS: Seven twin pregnancies with Down syndrome, one with trisomy 13, and all 17 twin euploid pregnancies were correctly classified [detection rate 100%, 95% confidence interval (CI) 59%-100%, false positive rate 0%, 95% CI 0%-19.5%], as were the two triplet euploid pregnancies. CONCLUSION: Although study size is limited, the underlying biology combined with the present data provide evidence that MPSS testing can be reliably used as a secondary screening test for Down syndrome in women with high-risk twin gestations.