EpiAge: a next-generation sequencing-based ELOVL2 epigenetic clock for biological age assessment in saliva and blood across health and disease

In simple terms

We couldn't fully understand what type of study this is, so we're being extra careful about what conclusions to draw from it.

Analysis score

0/ 0

Maximum 0 for a computational/algorithm study.

Where the score came from

Reporting0

Methodology25

Publication100

Statistical77

Study type (basis of the score)

Computational/Algorithm Study

Level 5 - Expert opinion

What’s the bottom line?

Scientists created a new test called EpiAgePublic that uses just 3 tiny markers on your DNA to guess how old your body really is (biological age) compared to your calendar age.

Where does this study sit?

Reviews of RCTs (Meta-analyses)

Max 100

Randomized Trials

Max 90

Reviews of Cohort Studies

Max 85

Cohort Studies

Max 72

Reviews of Case-Control Studies

Max 63

Case-Control Studies

Max 58

Cross-Sectional & Case Series

Max 50

Expert Opinion

Max 5

StrongerWeaker

Expert Opinion

Level 5

0 / 100

Quality score

Based on clinical experience or non-systematic literature reviews. The lowest level of evidence as they are most susceptible to bias and personal perspective.

Cannot establish causation

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Key takeaways

Summary

Based on the study abstract and findings.

1A correlation of 0.87 means the test is quite good at predicting age, but still has some error - it's not a perfect measure of how fast you're aging.
2The test correctly estimates age with 0.87 correlation in over 4,600 people aged 0-103 years.

Score breakdown, methodology, conflicts of interest, evidence analysis & raw study data