Topic guide

How do genes and environment influence behaviour?

Interpret family and twin comparisons, population heritability and developmental experiments without turning them into percentages of a person or claims of inevitable outcomes. This route explains foundational inference, not personal genetic risk or modern genome-wide prediction.

For: Readers evaluating claims that behavioural differences are inherited or produced by upbringing.

Begin here

  1. MIT OpenCourseWare · Source-checked annotation

    Lecture 10: Development, Nature & Nurture I

    MIT OpenCourseWare Nancy Kanwisher intermediate 1 hr 21 min

    The opening of Nancy Kanwisher’s MIT lecture turns “genes versus experience” into concrete questions about developing brain organisation and face perception, including alternative explanations for an early response. Pair it with the short MedlinePlus reading to distinguish a developmental question from population heritability.

A child may resemble a parent in talkativeness, reading or problem solving. That resemblance does not, by itself, explain how it arose. Three questions need separating: how an ability develops, why people differ on a measure, and what would happen if their circumstances changed. A genetic explanation of differences does not automatically answer the other two.

First specify the behaviour and how it was measured. A questionnaire rating, a test score and an observed action are different kinds of evidence. The MIT intelligence and personality sessions are useful for this preparatory step. An explanation of differences in one measure should not silently become an explanation of the whole person.

Families share experiences as well as genetic relationships. Noba’s nature–nurture chapter explains why adoption and twin comparisons help researchers separate possible influences. Adoption separates biological parentage from being raised by those parents, but placement is not a random experiment. Identical and non-identical twin comparisons provide different degrees of genetic relatedness; interpreting their resemblance also requires attention to their environments. These designs are informative comparisons, not automatic proof that every observed family resemblance is genetic.

Heritability concerns variation across people in a specified population and set of circumstances. In a hypothetical study, an estimate of 0.6 would attribute 60% of the measured variation to genetic variation under the study’s model. It would not mean that 60% of each person’s behaviour comes from genes. Nor would it identify the responsible genes, explain the developmental process, or tell us how readily the trait could change. The MedlinePlus explanation makes these boundaries explicit. The estimate can change when the population or circumstances change.

Variation within groups and differences between their averages are also separate questions. A high within-group heritability estimate cannot by itself establish why two groups have different averages. The optional 2007 Yale lecture’s Chapter 5 illustrates that logical distinction. Use it as a historical methods comparison: its later sweeping conclusions about parenting are not conclusions of this guide.

Environment includes physical and social conditions, not merely parenting. Genes and environments can also interact. In the narrower research sense, this means that the effect of an exposure differs with genetic background, or the effect of genetic differences depends on the exposure. The NHGRI glossary explains this using disease risk. It supplies a definition, not evidence that a particular behavioural interaction exists. Saying that both genes and experience matter does not demonstrate an interaction; a specific claim needs a specified outcome, comparison and evidence.

The starting MIT lecture asks a different, complementary question: how does organised brain function develop? Its opening discussion of face perception considers whether a young animal’s response reflects faces specifically, movement more generally, or experience already acquired. This is an example of turning a nature–nurture slogan into competing explanations and a better comparison. It is not a heritability calculation. The continuation examines how connectivity might constrain development, while explaining limitations of the imaging method.

Finally, evidence about existing differences is not a direct test of an intervention. Noba’s example of parents reading to children shows the problem: an association with later reading scores leaves several possible pathways open. A suitable intervention study addresses a different question. High heritability alone neither establishes that change is impossible nor shows that a proposed programme works. The exercise below practises keeping those conclusions separate.

Build the connection

  1. MIT OpenCourseWare · Source-checked annotation

    Lecture 14: Intelligence

    MIT OpenCourseWare Speaker not established foundation 1 hr 12 min

    Define the measured outcome. The 2011 MIT session distinguishes an intelligence test score from the wider construct and explicitly considers nature/nurture. Use its measurement questions before interpreting a genetic estimate; this guide does not endorse its dated intervention or group-comparison claims.

  2. MIT OpenCourseWare · Source-checked annotation

    Lecture 16: Personality

    MIT OpenCourseWare Speaker not established foundation 1 hr

    Compare a different kind of behavioural measure. The 2011 MIT personality session covers trait dimensions and questionnaires; its answer key explicitly warns that heritability describes population variation, not an inherited percentage of a person. Its birth-order generalisations are not adopted.

  3. MIT OpenCourseWare · Source-checked annotation

    Lecture 11: Development, Nature & Nurture II (2018)

    MIT OpenCourseWare Nancy Kanwisher intermediate 1 hr 18 min

    Follow a developmental mechanism question. The opening of this 2018 continuation compares explanations for face perception and asks how long-range connectivity might shape cortical organisation. Read its imaging limitations alongside that hypothesis; these developmental questions differ from estimating heritability.

  4. Open Yale Courses · Source-checked annotation

    Lecture 13 - Why Are People Different?: Differences

    Open Yale Courses Speaker not established foundation Duration unknown

    Optional historical comparison of inference limits. Chapter 5, beginning at 36:33, distinguishes variation among people from individual trait composition and within-group from between-group explanations. This 2007 lecture also makes sweeping later claims about parenting and separated twins that this guide does not endorse; it is a bounded comparison, not a current evidence summary.

Audit three conclusions from one hypothetical estimate

Imagine a study of a specified reading test reports heritability of 0.6 in one population. No intervention was tested. Evaluate these fictional claims: “60% of Alex’s reading ability is genetic”; “a tutoring programme cannot help”; and “a difference in average scores between two schools must be genetic”. For each, identify the extra inference and explain why the estimate alone does not establish it. Then write a defensible two-sentence summary naming the measured outcome, population and study assumptions. List what you would need to know about sampling, comparable measurement and environments; for the tutoring claim, describe a comparison that would actually test the programme. The 0.6 is invented for reasoning practice, not an estimate of reading heritability or an assessment of a real person.

Exercise or methods at source ↗

Read alongside

Go into the full course →

Next step

Return to the intelligence or personality session and identify the exact measure and comparison behind one claim. Separate the population-difference question from the evidence needed to establish a developmental mechanism or an effective intervention.

Limits of this route

The selected teaching dates from Yale 2007, MIT psychology 2011, and the MIT 2019 brain course, whose continuation is explicitly labelled 2018. The two brain transcript openings were read, not the full recordings; the psychology selections were checked against session pages, and Yale against the specified transcript sections. MedlinePlus’s page is dated September 2021; the NHGRI definition was retrieved for this check. Noba is used for study-design reasoning, not as a current review of genetic discovery, candidate-gene effects or epigenetic inheritance. Yale’s broad parenting claims and MIT’s birth-order claims are not adopted. No claim is made that all family-design assumptions are satisfied in any particular study. Genome-wide association, polygenic prediction, clinical testing and personal genetic advice are outside scope. Agent source inspection is not full-video viewing, human peer review or independent scientific validation.

Sources and editorial check · 2026-11-07

Three directly retrieved educational/institutional readings; two partial official MIT transcripts and matching publisher summaries; two MIT psychology session pages; Yale lecture 13 overview and specified transcript sections. Selection and substantive claim limits recorded separately from current access metadata.

Checked by agent. This is not human peer review.

  1. The nature–nurture question — Eric Turkheimer, Noba

    Retrieved 2026-11-07. Read the introduction and the main What Have We Learned About Nature–Nurture? discussion, through its conclusion before Outside Resources. Used family resemblance, non-random adoption, twin-comparison logic, the parental-reading confounding example and the distinction between population variation and developmental processes. The module’s broad universals, dated claims about gene discovery, candidate-gene violence example, epigenetic inheritance paragraph and clinical examples are not adopted or treated as current validated evidence. References were not independently reviewed.

  2. What is heritability? — MedlinePlus Genetics

    Retrieved 2026-11-07. Read the complete explanatory text, including population/environment specificity, the 0.7 example, familial versus heritable, the distinction from individual trait composition, and the warning that heritability does not measure ease of change. Page update shown as 16 September 2021. Its categorical illustrative claims about spoken language/religion and simplified single-gene examples are not used; linked papers were not independently reviewed.

  3. Gene–environment interaction — National Human Genome Research Institute

    Retrieved 2026-11-07. Read the definition and narration. Used physical/social environments and the definition in which an environmental effect differs by genotype, or conversely. The glossary’s disease example is not generalised into evidence for a particular behavioural interaction. The rendered update date is not treated as the publication date of a research finding.

  4. MIT Nature & Nurture I — official transcript opening

    Retrieved 2026-11-07. Read the first 12,000 characters after removing VTT cue numbers/times and normalising whitespace: framing innate structure versus experience, early brain development, the face-perception example, motion as an alternative explanation, and the warning that an early response is not zero experience. This is a partial transcript check, not full viewing or a current review of the cited developmental findings.

  5. MIT Nature & Nurture II (2018) — official transcript opening

    Retrieved 2026-11-07. Read the first 14,000 characters after removing VTT cue numbers/times and normalising whitespace: recap of alternative accounts of face perception, connectivity as a developmental hypothesis, diffusion tractography and its limitations, and adult connectivity/function prediction. Partial transcript only; this guide does not assert the lecture’s dated research conclusions as current consensus.

  6. Lecture 10: Development, Nature & Nurture I — official publisher page

    Retrieved 2026-11-07. Read the individual MIT summary identifying infancy/childhood cortical organisation and genes versus experience; matched the exact video and linked official transcript. No full-video viewing.

  7. Lecture 11: Development, Nature & Nurture II (2018) — official publisher page

    Retrieved 2026-11-07. Read the individual MIT summary identifying genes/experience, cortical organisation and adult change; matched exact video and transcript. Preserved the title’s 2018 recording label within the 2019 course. No full-video viewing.

  8. Lecture 13 - Why Are People Different?: Differences — official publisher page

    Retrieved 2026-11-07. Read the publisher overview, all of transcript Chapter 5 beginning 36:33, and the first 6,500 characters of Chapter 6 beginning 51:16. Selected only the variance-versus-person distinction, family-comparison cautions and within-/between-group logical contrast. Explicitly excluded broad claims about negligible parenting effects, universal high heritability, and separated twins having no environmental similarity. This is 2007 teaching, not a current genetics review; no full-video viewing.

  9. Lecture 14: Intelligence — official publisher material

    Retrieved 2026-11-07. Read the official Session Overview, chapter headings and Check Yourself answers. Used the distinction between a test score and the wider construct it measures, and the session’s explicit nature/nurture question. No lecture transcript or full video inspected for this selection. Its historical intervention, stereotype-threat and group-comparison claims are not endorsed here.

  10. Lecture 16: Personality — official publisher material

    Retrieved 2026-11-07. Read the official Session Overview, chapter headings and Check Yourself answers, including the explicit population-variance warning for heritability. Used trait measurement and the genetics/environment framing; did not adopt its birth-order generalisations, temperament invariance or other dated causal claims. No lecture transcript or full video inspected for this selection.

Add to a playlist