Reticular
Figures and model estimates remain provisional · October 13, 2026
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Research update

State-of-the-Art Embryo Selection for $4,999

Stronger genetic prediction. Validation within families. Clearer information for your next IVF decision.

Reticular Team

Reticular Team

October 2026 · 6 minute read

Today, we’re sharing the technical whitepaper behind Embryo Complete, our polygenic embryo selection product. Embryo Complete is available for a flat $4,999 for all your embryos, across every cycle. We use compatible data from your existing PGT-A testing, requiring no additional embryo biopsy.

Our latest evaluation covers 14 heritable conditions, including multiple sclerosis, breast cancer, and type 2 diabetes. We’re sharing what these models predict, how they compare with published scores, and how we test whether their signal holds when comparing people within the same family.

What could this mean for your family?

Using our latest prediction results, we estimate a relative risk reduction of up to 63% when selecting the lowest-risk embryo from five sibling embryos capable of live birth. The largest modeled reduction in this comparison is for multiple sclerosis.

Relative risk reduction describes the proportional change in risk. Absolute risk reduction describes how far the risk falls in percentage points.

How much could risk fall?

Relative risk reduction (%) · Five embryos

Multiple sclerosis

63.4%

Inflammatory bowel disease

61.9%

Alzheimer's disease

59.2%

Glaucoma

54.1%

Prostate cancer

49.5%

Gout

49.5%

Psoriasis

48.9%

Melanoma

45.0%

Type 2 diabetes

44.7%

Breast cancer

41.4%

Basal cell carcinoma

39.7%

Hypertension

23.9%

Osteoporosis

20.7%
Population averages for 13 conditions with available prevalence inputs. Lines show uncertainty from R² only. Each condition is optimized separately; benefits are not simultaneous. Alzheimer’s within-family validation is uncertain.
Download full-size figure ↗

These are model estimates based on selecting for one condition at a time. They assume five embryos could each yield a live birth; fewer viable options, transfer failure, ancestry, and model performance can change the expected benefit.

When a condition runs in your family

Family history can raise a child’s lifetime risk. For families with a higher starting risk, embryo selection may offer a larger absolute reduction in the chance of developing that condition.

Type 2 diabetes: what our model estimates

When selecting the embryo with the lowest predicted diabetes risk from five sibling embryos, our model estimates:

With one affected parent, lifetime risk falls from 30.7% to 18.0%. That is a 41.2% relative reduction, or 12.6 percentage points.

With two affected parents, lifetime risk falls from 57.2% to 41.4%. That is a 27.6% relative reduction, or 15.8 percentage points.

Explore the figure below to see how family history changes the estimates for each condition. Switch between relative reduction and absolute risk to compare the percentage reduction with the starting risk and the reduction in percentage points.

Risk reduction with family history

Relative risk reduction (%) · Five embryos

Alzheimer's disease

1 parent52.9%
2 parents34.7%

Type 2 diabetes

1 parent41.2%
2 parents27.6%

Prostate cancer

1 parent42.3%
2 parentsNot applicable

Glaucoma*

1 parent47.6%
2 parents36.1%

Inflammatory bowel disease

1 parent51.9%
2 parents35.1%

Basal cell carcinoma*

1 parent36.9%
2 parents30.1%

Gout*

1 parent45.2%
2 parents39.2%

Testicular cancer*

1 parent58.4%
2 parentsNot applicable

Breast cancer

1 parent37.7%
2 parentsNo male breast cancer model

Hypertension

1 parent25.0%
2 parents16.6%

Multiple sclerosis

1 parent53.5%
2 parents39.4%

Psoriasis

1 parent41.0%
2 parents28.8%

Melanoma

1 parent38.4%
2 parents28.9%

Osteoporosis

1 parent20.1%
2 parents13.9%
Modeled estimates for five sibling embryos capable of live birth, with each condition considered separately. How we calculate these estimates →
Download full-size figure ↗

Prediction on par with leading published scores

Our prediction results have improved substantially. In the comparison below, Reticular’s estimates are comparable to or higher than published estimates for 12 of 14 conditions, with particularly strong results for glaucoma, inflammatory bowel disease, and multiple sclerosis.

The figure measures liability R²: how much variation in the underlying risk of a condition a score explains. Higher values indicate stronger prediction. It is a measure of model performance, rather than a percentage reduction in someone’s chance of developing a condition.

Prediction across 14 conditions

Liability R² (%) · Reticular and published scores

Alzheimer's disease

Reticular24.9%
Herasight16.1%
Nucleus21.1%

Type 2 diabetes

Reticular18.1%
Herasight20.7%
Nucleus22.9%

Prostate cancer

Reticular17.3%
Herasight19.0%
Nucleus21.6%

Glaucoma

Reticular16.3%
Herasight8.2%

Inflammatory bowel disease

Reticular14.6%
Herasight7.5%

Basal cell carcinoma

Reticular13.8%
Herasight11.9%

Gout

Reticular13.1%
Herasight10.4%

Testicular cancer

Reticular12.9%
Herasight7.6%

Breast cancer

Reticular12.1%
Herasight14.3%
Nucleus12.8%

Hypertension

Reticular11.8%
Herasight15.7%
Nucleus15.5%

Multiple sclerosis

Reticular11.0%
Herasight7.0%

Psoriasis

Reticular9.3%
Herasight11.6%

Melanoma

Reticular7.7%
Herasight7.4%

Osteoporosis

Reticular5.7%
Herasight7.1%
Switch between commercial and academic context. Lines show reported or transformed 95% confidence intervals. Cohorts, phenotype definitions and evaluation methods differ across studies; this is not a formal head-to-head equivalence trial.
Download full-size figure ↗

Testing across ancestry groups

Families come from many genetic backgrounds. A score that predicts well in one population needs to be evaluated in others before we assume the same performance.

We examine prediction across ancestry groups in All of Us. The results support predictive signal across several conditions and populations, while also showing that performance varies by condition and ancestry. Smaller case counts make some estimates less precise. Those differences matter when interpreting a family’s report.

Prediction across ancestry groups

AUC-derived liability R² (%) · External-permitted scores

Alzheimer's disease

European12.5%

Type 2 diabetes

European16.1%
African2.8%

Prostate cancer

European8.4%
African2.2%

Glaucoma

European16.6%
African8.6%

Inflammatory bowel disease

European14.8%
African*4.5%

Basal cell carcinoma

European10.8%

Gout

European12.5%
African3.5%

Breast cancer

European9.7%
African5.6%

Hypertension

European10.5%
African2.4%

Multiple sclerosis

European9.5%
African1.0%

Psoriasis

European8.9%

Melanoma

European6.8%

Osteoporosis

European6.0%
African3.0%
Higher values indicate stronger prediction. Lines show the uncertainty around each estimate. We show results with evidence of prediction above chance.* Stars flag low case counts in the reference sample, so these results should be interpreted with extra caution. How to read this figure →
Download full-size figure ↗

Validation that compares people within families

Embryo selection compares siblings. Within-family validation therefore asks a crucial question: does a genetic score still distinguish risk when shared ancestry and family background are controlled for?

For 11 of the 12 conditions with interpretable within-family estimates, we found no detectable attenuation of the predictive signal. Type 2 diabetes showed some attenuation, with a within-family-to-population effect ratio of about 0.86. Alzheimer’s disease and testicular cancer estimates were unstable because there were too few cases for reliable interpretation.

Does prediction hold within families?

Within-family / population effect · Ratio

Type 2 diabetes

0.86

Multiple sclerosis

0.90

Hypertension

0.91

Psoriasis

0.94

Glaucoma

0.96

Osteoporosis

0.97

Basal cell carcinoma

1.07

Breast cancer

1.08

Gout

1.09

Prostate cancer

1.11

Inflammatory bowel disease

1.13

Melanoma

1.24

Alzheimer's disease

Unstable estimate · too few cases

Testicular cancer

Unstable estimate · too few cases
The dashed line at 1.0 means the same estimated effect within families and in the population. Lines show 95% confidence intervals. Including one indicates no detectable attenuation, but does not prove equivalence. Unstable Alzheimer’s and testicular cancer estimates are shown separately.
Download full-size figure ↗

Parental genetic data are limited in our All of Us sample. Once our access to UK Biobank is restored, we expect to strengthen our within-family validation and improve the precision of these estimates.

Better information for planning your family

We’re continuing to improve genetic prediction and the evidence behind it. Stronger scores, evaluation across ancestry groups, and validation within families all help us build a clearer picture of what an embryo’s genome can tell us.

Our goal is to give families useful information they can discuss with their IVF team and genetic counselor. We’re excited to keep advancing that work—and to share the methods and results behind it.

Explore Embryo Complete

A flat $4,999 for all embryos, across all cycles. Compatible existing PGT-A data. No additional embryo biopsy. Genetic counseling included.

Sources and further reading

Modeled disease risks are probabilistic estimates. Genetic scores do not guarantee a health outcome; IVF decisions should also account for the clinical information provided by your care team.