Safety, privacy and evidence boundary
Use fictional organisms and de-identified/public datasets. Do not infer intelligence, personality, worth, disease, ancestry, race, or family traits from genetics. Complex-trait models are population-level scientific tools, not labels for individuals.
Explicit science instruction
A gene–environment interaction occurs when genotypes respond differently across environments. A reaction norm plots phenotype against environment for different genotypes. Parallel lines suggest similar environmental response; nonparallel lines are consistent with interaction.
Correlation between genotype and environment can also complicate interpretation, so controlled designs or careful observational methods matter.
Worked example with reasoning
Fictional genotypes G1 and G2 grow 10 and 12 cm under low nutrient, but 20 and 15 cm under high nutrient. The genotype ranking reverses across environments, producing crossing reaction norms—strong evidence that genotype effect depends on environment in this model.
Guided question
Why is “gene versus environment” often the wrong question?
Independent work
- Plot two genotypes across three environments.
- Identify main genotype effect, environmental effect, and interaction pattern.
- Write one causal claim the data support and one they do not.
- State one confounder in an observational human study.
Misconception check
Environmental influence does not imply a trait is freely changeable, and genetic influence does not imply inevitability.
Formative understanding check
What visual pattern suggests interaction in a reaction-norm graph?
Worked response
Nonparallel genotype response lines, especially when differences change magnitude or direction across environments.
Open-book formative practice only; not an official mastery attempt or grade.
Mentor evidence conference
Ask Archaemenes to challenge the model, quantitative reasoning, and limits without inferring personal genetic or medical information.
Open ArchaemenesTeacher guidance
Foundation: use a pre-labeled reaction-norm graph. Core: interpret interaction without deterministic language. Extended: distinguish interaction from genotype–environment correlation and propose a stronger design.
Preserve learning evidence
Keep the model, data interpretation, correction note, and limitation in the matching Week 22 evidence field.