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Testing for >1000 conditions using your DNA

Understanding NIPT Accuracy

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Non-Invasive Prenatal Testing (NIPT) is a powerful tool in modern prenatal care. This guide explains the numbers behind the science, so you can feel confident in what your results mean.

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Medically reviewed by Dr Fred Ushakov, Medical Director & Founder·Last reviewed January 2026

NIPT Statistics Explained: PPV, Sensitivity and Specificity

What PPV, sensitivity and specificity really mean for your NIPT result.

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Why Statistics Matter?

NIPT doesn’t give a simple “yes” or “no” answer. It looks at tiny fragments of your baby’s DNA in your blood and calculates the chance of certain genetic conditions. We compare your results to data from thousands of other pregnancies, using terms like sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). These numbers help us understand how likely it is that a result is correct and help you make informed decisions.

Basic NIPT.

In the UK, around 1 in every 240 births is affected by one of the three standard chromosomal conditions (Down’s syndrome, Edwards’ syndrome or Patau’s syndrome). These conditions are the primary focus of the basic Non-Invasive Prenatal Test and highlights the importance of early, accurate screening in pregnancy.

1 in 126*

The more conditions you screen for, the more likely you are to find one. While standard NIPT looks for three common conditions, extended NIPT checks for many more chromosomal changes, increasing the chance of detecting something early and giving you more information to make informed decisions in pregnancy.

KNOVA NIPT

Comprehensive NIPT

KNOVA offers the broadest coverage across all our NIPT options, designed for parents who want the fullest possible picture of their baby’s genetic health. From the three common trisomies to rarer chromosomal changes, sex chromosome conditions, and multiple microdeletions, KNOVA provides deep and clinically meaningful insight in early pregnancy.

PrenatalSafe NIPT

3UK vs Complete Plus

Our PrenatalSafe panels are designed with clinical relevance in mind. The 3UK panel screens for the three major trisomies, while Complete Plus goes further, testing for over 50 chromosomal and genetic conditions, with results that are easy to interpret and backed by evidence.

Panorama NIPT

Basic vs Microdeletions

Panorama offers two levels of testing, basic and Microdeletions, depending on the depth of information you're seeking during pregnancy. It's one of the most comprehensive microdeletion screens available and is ideal for parents looking for maximum insight with high sensitivity.

Unity NIPT

Aneuploidies vs Complete

Unity’s NIPT adapts to modern research, offering a streamlined testing process with options to add carrier screening or fetal risk analysis. It’s one of the most flexible and future-facing options available today.

Full Comparison Table

Explore all the NIPT options available through Jeen and learn which provider suits you best.

NIPT Comparison - Jeen Health

Full Comparison Table

Explore all the NIPT options available through Jeen and learn which provider suits you best.

Footnotes & caveats

PrenatalSafe (Eurofins Genoma)

‖Microdeletion performance data is pooled across all microdeletions, not per-condition. Pooled sensitivity 83.33% has a very wide 95% confidence interval (35.88–99.58%) reflecting a small validation cohort. Per-condition PPV and NPV are not published by the manufacturer.

‖Rare autosomal aneuploidy data (T15, T16, T22) is pooled: sensitivity 100% (89.42–100%), specificity 99.92% (99.89–99.95%). Per-condition PPV/NPV not published.

Per-condition PPV values shown for main aneuploidies (T21 90.9%, T18 97.6%, T13 73.3%, etc.) are derived by Bayesian calculation from the manufacturer's published sensitivity/specificity and an assumed population prevalence. Only sensitivity and specificity are directly published by Eurofins Genoma.

Performance data comes from Eurofins Genoma Italy's internal validation on 71,740 pregnancies using the CE-IVD NIPT FLOW™ algorithm. PrenatalSafe 3 UK and 5 UK are processed in the UK using Illumina's VeriSeq NIPT Solution v2, which has its own clinical validation (Illumina package insert, document 200006957-00).

PrenatalSafe Complete Plus also covers inherited genetic diseases via direct fetal DNA testing: Cystic Fibrosis (CFTR), Sickle Cell Disease and Beta Thalassemia (HBB), and autosomal recessive deafness (GJB2/GJB6). This uses a different methodology to Unity Complete's maternal carrier workflow and is not shown in the Carrier Screening rows above.

KNOVA (Fulgent)

Every aneuploidy in the KNOVA column is shown with its own per-condition values from Fulgent's analytical-performance appendix: analytical sensitivity is >99.9% across the trisomies and sex-chromosome aneuploidies, specificity is 99.9% or higher, and positive predictive value ranges from 83.3% (Jacob's, 47,XYY) to >99.9% (Trisomy 21, Trisomy 13, Turner and Klinefelter) according to each condition's background prevalence. Individual aneuploidy performance may vary.

Every microdeletion in the KNOVA column shares the same appendix values: sensitivity >99.9%, specificity 99.8%, PPV 69.2% and NPV >99.9%. The PPV is modest because each microdeletion is individually rare; the 95% confidence interval is wide (PPV: 38.6-90.9%), reflecting small validation cohorts.

Per-gene monogenic sensitivities range from 43.7% (NSD1, Sotos) to >99% with wide confidence intervals and small validation cohorts. The shared specificity and NPV are >99.9% and the shared PPV is 97.6%, pooled across the gene panel.

KNOVA does not detect: triploidy, tetraploidy, uniparental disomy, translocations, inversions, ring chromosomes, or partial chromosomal aberrations within target regions. It reports only pathogenic or likely pathogenic variants per ACMG criteria - variants of uncertain significance are not reported.

KNOVA is a CLIA-certified Laboratory Developed Test and has not been cleared or approved by the FDA.

KNOVA screens additional conditions not listed above as individual rows due to their rarity and the shared performance profile. These include: Campomelic dysplasia (SOX9), BNAR syndrome (FREM1), Progeria (LMNA), C syndrome (CD96), Schmid metaphyseal chondrodysplasia (COL10A1), Conradi-Hünermann syndrome (EBP), Pfeiffer/Kallmann (FGFR1), Larsen syndrome (FLNB), Greig cephalopolysyndactyly (GLI3), Au-Kline syndrome (HNRNPK), Say-Barber-Biesecker-Young-Simpson (KAT6B), CHILD syndrome (NSDHL), Shprintzen-Goldberg (SKI), Fontaine progeroid (SLC25A24), Cerebrocostomandibular (SNRPB), Opitz GBBB/Teebi (SPECC1L), Hyper-IgE syndrome (STAT3), TRAF7-related syndrome, ZIC1-related craniosynostosis type 6. Per-gene sensitivity ranges from 43.7% to >99%; see Fulgent performance appendix for details.

Panorama (Natera)

*For 22q11.2 deletion (DiGeorge) NPV: ongoing clinical follow-up is performed to ensure the NPV does not fall below the quoted value, but follow-up is not obtained for all low-risk calls.

‡Performance depends on fetal fraction (FF). For 22q11.2 deletion syndrome, only the paternal allele is evaluated at FF ≤6.5%. For 1p36 deletion syndrome and Cri-du-chat syndrome, only the paternal allele is evaluated at FF <7%.

§For Angelman syndrome, no risk assessment is reported at FF <7%. For Prader-Willi syndrome, no risk assessment is reported at FF ≤2.8%.

†Per-condition PPVs for Turner, Klinefelter, Triple X and Jacob's syndromes are not published in Natera's validated Panorama performance table. The source reports fetal sex identification (Female/Male) Sens/Spec but does not quantify per-condition PPVs for sex chromosome aneuploidies.

Performance values frequency-weighted from published validation studies; per-condition confidence intervals omitted for readability. Full CIs available from source references.

References

  1. Panorama: Dar P et al. Am J Obstet Gynecol. 2022. doi.org/10.1016/j.ajog.2022.01.019
  2. Panorama: DiNonno W et al. J Clin Med. 2019;8(9):1311. doi.org/10.3390/jcm8091311
  3. Panorama: Nicolaides KH et al. Fetal Diagn Ther. 2014;35(3):212-7. doi.org/10.1159/000355655
  4. Panorama: Kantor V et al. Prenat Diagn. 2022;42(8):994-999. doi.org/10.1002/pd.6167
  5. PrenatalSafe: Eurofins Genoma Patient Information Leaflet CLIN-GEN-QI-008 V1.0 (71,740 pregnancy validation cohort, CE-IVD NIPT FLOW™ algorithm).
  6. PrenatalSafe UK: Illumina VeriSeq NIPT Solution v2 package insert. Illumina documentation
  7. KNOVA: Fulgent Genetics KNOVA Prenatal Cell-Free DNA Screen - Target Conditions Screened + Analytical Performance appendix.

Disclaimer! All statistics mentioned are based on data from the laboratory's Performance and Clinical Validation studies, conducted with pregnant participants. These figures reflect outcomes observed within those specific study groups and may not represent the general population.

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Frequently Asked Questions

Why do sensitivity and specificity matter when choosing a genetic test?

Sensitivity and specificity help you understand how reliable a test is. A test with high sensitivity catches more true positives, and one with high specificity avoids false alarms. Together, they help ensure your results are trustworthy.

If a test is highly accurate, can I skip seeing a midwife?

Not quite. Even highly accurate tests need interpretation. A genetic counsellor helps explain what your result means for you and your family and whether you need any follow-up or additional screening.

Why are sensitivity and specificity important in genetic testing?

These metrics help determine a test's accuracy. High sensitivity ensures most carriers are identified, while high specificity ensures non-carriers aren't misdiagnosed. Together, they provide a comprehensive view of a test's reliability.

What is the difference between test sensitivity and PPV?

Sensitivity measures how well a test identifies true positives among all who have the condition, while PPV assesses the likelihood that a positive test result is a true positive. Sensitivity is intrinsic to the test, whereas PPV is influenced by the condition's prevalence in the population.

What can affect how accurate my genetic test result is?

Several things can influence test accuracy, including how common the gene variant is in the population (prevalence), the quality of the lab, and even how the sample was collected. That’s why expert-designed tests and genetic counselling matter.

Why do different sources give different numbers for test accuracy?

Test stats like sensitivity or PPV can change based on the population being tested, the condition being looked for, and how the test is used. That’s why context matters - Jeen’s team explains your results in a way that fits your unique case.

Can a test have high sensitivity but low specificity?

Yes. A test designed to catch all potential cases (high sensitivity) might also capture individuals without the condition, leading to false positives and thus lower specificity. Balancing both metrics is crucial for accurate testing.

Should I consult a specialist before and after testing?

Yes! This is a key part of your journey with Jeen. Our genetic counsellors and midwifes are here to help you understand what your results mean and guide you through everything, including terms like sensitivity and specificity. You’ll have a counselling session before your test to explain what we’re looking for and what the results could mean. If your result shows something unusual, we’ll contact you and arrange a follow-up session. Even if your results are normal, you're always welcome to book another session if you'd like to talk them through with our team.

Sources & references

The statistics and clinical claims on this page are supported by the following authoritative sources.

  • NHS Digital (NCARDRS)

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