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Testing for >1000 conditions using your DNA

Understanding Stats in Genetics

Genetic testing can reveal powerful insights about your health. But behind every result is a foundation of statistics that helps us interpret your DNA accurately.

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Medically reviewed by Ailidh Watson, Lead Genetic Counsellor·Last reviewed January 2026
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Why Statistics Matter?

Genetic testing doesn’t just say “yes” or “no”, it estimates probabilities. We look at patterns in your DNA and compare them to scientific data from thousands of people to understand what’s typical, what’s rare, and what might affect your health. Below is a simple guide to help you understand what these numbers really mean.

Key terms

Genetic test results can feel complex, these six key terms explain what the numbers mean and how reliable your result is. Test statistics can vary depending on the condition being screened for and the population being tested, and when you screen for a wider range of conditions, such as with advanced genetic testing, the predictive value for rarer findings may differ. Our team will help you interpret your genetic tests in the right clinical context.

Prevalence

Condition Rate In The Population

Prevalence refers to how many people in a given population carry the gene variant or have the condition. The more common it is, the more it affects the PPV and NPV of the test. In short, prevalence helps shape how useful a test result will be in the real world.

Sensitivity

The True Positive Rate

A test with high sensitivity correctly identifies most people who actually carry the gene variant. In other words, the higher the sensitivity, the more likely it is that if you do have the variant, the test will detect it.

Specificity

The True Negative Rate

A test with high specificity correctly identifies most people who do not carry the gene variant. In other words, the higher the specificity, the more likely it is that if you don’t have the variant, the test will report a negative result – and avoid a false alarm.

Positive Predictive Value

The Chance a Positive Result Is True

Positive Predictive Value (PPV) tells you how likely it is that you actually have the condition or variant if your test result comes back positive. A high PPV means that most people who test positive truly carry the variant. This value depends not just on the test's accuracy, but also how common the condition is in the population being tested.

Negative Predictive Value

The Chance a Negative Result Is True

Negative Predictive Value (NPV) tells you how likely it is that you don’t have the condition or variant if your test result is negative. A high NPV means that most people who test negative truly don’t carry the variant. Just like PPV, this depends on the test’s accuracy and how rare or common the condition is.

Test Accuracy

How Often The Test Gets It Right

Test accuracy shows the overall chance that the test result, positive or negative, is correct. It combines both sensitivity and specificity to give you a big-picture view of how reliable the test is.

Interactive explainer

Learn about how genetic test accuracy varies based on Sensitivity, Specificity, PPV, NPV and Prevalence.

Genetic Testing Performance Metrics

How prevalence, sensitivity and specificity shape test accuracy

Without condition
With condition
Test cutoff
Sensitivity
—
TP / (TP + FN)
Specificity
—
TN / (TN + FP)
PPV
—
TP / (TP + FP)
NPV
—
TN / (TN + FN)
Condition prevalence 1:10,000
1:100 1:1k 1:10k 1:100k 1:1M 1:10M
Test sensitivity 99.0%
Test specificity 99.5%

Understanding these metrics

Sensitivity — of people who have the condition, the proportion who test positive.

Specificity — of people without the condition, the proportion who test negative.

PPV — if a test is positive, the probability the person actually has the condition.

NPV — if a test is negative, the probability the person actually does not have the condition.

Try this: keep sensitivity and specificity at 99% and drag prevalence from 1:100 down to 1:10M. Watch PPV collapse — the rarer the condition, the less a positive result actually means.

Another 23andMe?

At Jeen, we focus on health, not hair colour. Our genetic testing uses 50x sequencing depth (NGS) for greater accuracy and confidence in detecting inherited conditions.

How DNA Sequencing Works

DNA is broken into small fragments, sequenced, and computationally assemble into the full genome.

What is Sequencing Depth?

Sequencing depth is how many times your DNA is read. Higher depth = more accurate results, lower depth = risk of missed mutations.

Genome Size Matters!

Larger genomes (like humans) need more sequencing reads. That’s why high-depth testing matters-it ensures nothing is missed.

Why Jeen?

Not all genetic tests are created equal. At Jeen, we use 50x sequencing coverage, which means each section of your DNA is read around 50 times. Here’s why it makes a difference:

Bigger genome → more data needed

Higher depth → better accuracy

Balance cost vs. detail!

What Now?

Have questions? We’re here to help. Genetic testing can feel overwhelming, but it doesn’t have to be. Our genetic counsellors are here to walk you through your options, explain the science in plain English, and help you decide if testing is right for you.

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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 genetic counsellor?

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 genetic 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 statistics like sensitivity and PPV can vary depending on the population being tested, the condition being screened for, and how the test is used. Context matters! Jeen’s team of clinical geneticists, genetic counsellors, and midwives will explain 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 genetic counsellor before and after testing?

Yes. And it’s a key part of your journey with Jeen. Our genetic counsellors 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.

  • NCBI / PMC

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