Genetics Science Deep DiveScientists & Healthcare Professionals

The Science Behind Baby Predictions

OCA2/HERC2 two-gene eye color model, Punnett square implementation, three-generation analysis, and Bayesian reasoning for up to 95% confidence predictions.

2Gene Eye Color Model
3Generation Analysis
95%Max Confidence
3Prediction Modes

Eye Color Genetics

OCA2/HERC2 two-gene model responsible for ~74% of eye color variation

OCA2 Gene (Primary)

Controls melanin production in the iris. Brown (B) allele is fully dominant over blue (b). Located on chromosome 15.

HERC2 Gene (Regulator)

Regulates OCA2 expression. A single SNP in HERC2 determines blue-brown eye color. Green (G) and Amber (A) are modifier alleles.

Punnett Square Engine

Each of the two eye-color genes is solved with its own 2×2 Punnett square (4 outcomes each); the hair-color model uses a 4×4 two-locus grid (16 combinations).

Genotype to Phenotype Mapping

How gene combinations determine eye color

GenotypeEye ColorExplanation
BBBrownHomozygous brown — both alleles dominant
BbBrownCarries blue but brown is dominant
BGHazel-GreenBrown + Green modifier
GGGreenHomozygous green
GbGreenGreen dominant over blue
bbBlueHomozygous recessive — blue eyes

Polygenic Trait Models

Skin tone and height are controlled by multiple genes

Skin Tone (9+ Genes)

Simplified to 4-allele additive model (D, M, L, V). More dark alleles produce darker skin. Co-dominant blending inheritance.

Height (700+ Genes)

Mid-parental height formula with gender adjustment (boys +6.5cm, girls -6.5cm). Standard deviation of +/-5cm for 68% confidence.

Bayesian Reasoning

Grandparent data constrains genotype possibilities. A blue-eyed grandparent proves the parent carries the recessive allele.

Confidence Scoring

More family data means higher prediction confidence

Data AvailableConfidenceExplanation
Parents only60-70%Basic Punnett square, no carrier knowledge
Parents + 2 grandparents90-95%Partial genotype constraint
Parents + 4 grandparents95% (capped)Strong genotype constraint
Parents + 4 grandparents95% (capped)Near-certain carrier status

Prediction Modes

Three modes offering different levels of data input and confidence

ModeCreditsData RequiredConfidence
Standard8Parent traits entered manually (no grandparents)up to 70%
Premium12Full parent traits + all 4 grandparentsup to 95%
Scientific4Parent traits entered manually (no photos)up to 65%

Scientific Validation

Built on peer-reviewed genetic research

Peer-Reviewed Research

Based on Sturm et al. (2008) and Eiberg et al. (2008) for eye color, Lamason et al. (2005) for skin tone, and Lango Allen et al. (2010) for height.

Model Accuracy

OCA2/HERC2 model explains ~74% of eye color variation. Mid-parental height R-squared = 0.71. Polygenic skin tone explains ~60% of variance.

Full Transparency

Every prediction includes confidence scores and Punnett square visualizations so users understand the science behind the results.

Frequently Asked Questions

Common questions about the genetics science behind ProbaBaby

Accuracy depends on the data you provide. Parents only: around 60-65%. With all four grandparents: up to 95% (our hard cap). Our two-gene model explains ~74% of eye color variation.

If a parent has brown eyes, they could be BB (cannot pass blue) or Bb (can pass blue). A blue-eyed grandparent proves the parent is Bb, doubling prediction accuracy for blue-eyed offspring.

The OCA2 gene controls melanin production (brown vs. blue) while HERC2 regulates its expression. Together they account for ~74% of eye color variation, making predictions significantly more accurate than single-gene models.

Skin tone is controlled by 9+ genes. We use a simplified 4-allele additive model where more dark alleles produce darker skin. Unlike eye color, skin tone follows co-dominant blending inheritance.

Height prediction uses mid-parental formula (average parent height +/- 6.5cm for gender). This explains about 71% of height variance with a margin of +/-5cm (68% confidence).

No. ProbaBaby uses simplified genetic models for educational and entertainment purposes. Predictions are probabilities, not guarantees. For diagnostic genetic testing, consult a certified genetic counselor.

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