02 SYNTHETIC DATA Genetics simulation

What happens when you split the data?

Use 80 fictional records to see what changes between pooled and grouped views. Practice distinguishing association from causation.

Start the exercise Read the report guide

Steps

Predict which marker has the higher average
Compare pooled results with each batch
See how group composition affects the average

Grouping can uncover details hidden in an overall average.

01 Simulation

Make a prediction

Each record belongs to batch P or Q and has a marker (X or Y) and a simulated score. Marker X is more common in batch P. Marker Y is more common in batch Q.

Compare the two views


Group	Marker	Sample count	Average score

Both views use the same 80 fictional records.

Enable JavaScript to make a prediction and switch views. Overall, X averages 60 and Y averages 40. Within batch P, both average 70. Within batch Q, both average 30. The overall difference comes from how often each marker appears in the higher- and lower-scoring batches.

02 Reading a report

Four things to check in a consumer genetic test report

Identify what the test measured, where the findings came from, and who the findings apply to.

Test coverage

Check which sites and traits the report covers. Some tests look for only a few variants, so interpret a negative result within the scope of that test.

Study populations

Check which participants contributed to the reported associations and whether the report was validated in a population like yours. Environment and lifestyle can also affect average risk.

Professional guidance

If a result concerns disease risk or could affect a healthcare decision, a clinician or genetic counselor can help you decide whether it needs confirmation.

NIH MedlinePlus · Interpreting test results

Data privacy

Check how long the company keeps samples and raw data, whether it shares or reuses them, and how you can request deletion. Genetic information can also reveal information about relatives.

NIH MedlinePlus · Test limitations and privacy