Where Do Individual Differences Come From?
Genes, environments, and the development of differences between people.
- Level
- Intermediate
- Reading load
- 9 core readings in 5 units
- Prerequisites
- Begin with How Do We Describe and Measure Individual Differences? or equivalent familiarity with traits, test scores, reliability, and correlations. The intelligence and personality syllabi provide useful examples. Familiarity with averages, variation, and causal comparisons helps; fitting genetic models is not required.
- Last reviewed
- September 2026
Introduction
Two siblings grow up in the same household but differ in persistence and cognitive test performance. They receive different responses from teachers, choose different activities, and encounter different opportunities. Their resemblance and their differences both invite explanation. Naming genes or environment does not yet tell us how any particular difference developed, or what might change it.
This path begins with development and with a frequently misunderstood research question: how much of the variation in an attribute, within a studied population, is associated with genetic differences? Estimates of heritability address that population question. They do not divide an individual person's ability or personality into genetic and environmental portions.
The readings then examine what comparisons among twins and measurements of family members' genetic variation can reveal. They ask how genetic differences can be associated with the environments people encounter, and whether patterns of genetic influence differ across circumstances. These are related questions, but they require different comparisons and assumptions.
The final units turn to education and caregiving studies that examine what happens when environments change. Such studies bring us back to development: which experiences changed, for whom, and what followed? Evidence about variation in a population and evidence about the effects of an intervention each contribute to explanation without supplying interchangeable answers.
Keep the fictional siblings, Maya and Leo, in mind throughout. Ask what each paper could help investigate while resisting the temptation to turn a population statistic into an explanation of either life. By the end, you should be able to interpret a heritability claim, assess the assumptions behind family comparisons, and explain how evidence about genetic differences can coexist with evidence of environmental change.
Unit 1 of 5
What does it mean to explain a difference?
A developmental account describes processes unfolding over time; a variance estimate describes differences within a population. Begin by separating those tasks. Sameroff proposes an integrative framework, while Visscher and colleagues clarify what heritability can and cannot tell us.
Reading
1 of 9A Unified Theory of Development: A Dialectic Integration of Nature and Nurture
Sameroff, A. (2010). A unified theory of development: A dialectic integration of nature and nurture. Child Development, 81(1), 6–22. https://doi.org/10.1111/j.1467-8624.2009.01378.x
Major synthesis · Foundational argument · Moderate · Full work: 17 pages
Track how people, contexts, regulation, and interpretations of experience enter the account of development.
Why you’re reading it. Establish the explanatory task before dividing observed variation into components.
A question to consider. Maya’s persistence elicits encouragement, which changes her later engagement. What would you measure over time to test this transaction rather than merely describe it?
Reading
2 of 9Heritability in the Genomics Era — Concepts and Misconceptions
Visscher, P. M., Hill, W. G., & Wray, N. R. (2008). Heritability in the genomics era—Concepts and misconceptions. Nature Reviews Genetics, 9(4), 255–266. https://doi.org/10.1038/nrg2322
Major synthesis · Methodological contribution · Challenging · Full work: 12 pages
Keep a population’s variation separate from an individual’s development and from differences between group averages.
Why you’re reading it. Give the genetic evidence a precise interpretation before encountering large numerical summaries.
A question to consider. A heritability estimate for test scores is 60% in a particular sample. Why does it not mean that 60% of the difference between Maya and Leo was caused by their genes?
Unit 2 of 5
What can family studies reveal?
Twin comparisons provide indirect evidence about sources of variation. The broad synthesis establishes their reach and limitations; the personality synthesis extends the question across time. Ask which assumptions connect resemblance between relatives to an explanation.
Reading
3 of 9Meta-Analysis of the Heritability of Human Traits Based on Fifty Years of Twin Studies
Polderman, T. J. C., Benyamin, B., de Leeuw, C. A., Sullivan, P. F., van Bochoven, A., Visscher, P. M., & Posthuma, D. (2015). Meta-analysis of the heritability of human traits based on fifty years of twin studies. Nature Genetics, 47(7), 702–709. https://doi.org/10.1038/ng.3285
Major synthesis · Challenging · Full work: 8 pages
Compare cognitive and personality domains with the all-trait summary, and examine what the resemblance patterns leave unidentified.
Why you’re reading it. Learn to evaluate broad genetic evidence without turning an average across heterogeneous traits into a universal constant.
A question to consider. Maya and Leo share a household. What would a small shared-environment estimate actually say about resemblance in a population, and why would it not show that their household had no influence?
Reading
4 of 9Genetic and Environmental Continuity in Personality Development: A Meta-Analysis
Briley, D. A., & Tucker-Drob, E. M. (2014). Genetic and environmental continuity in personality development: A meta-analysis. Psychological Bulletin, 140(5), 1303–1331. https://doi.org/10.1037/a0037091
Major synthesis · Challenging · Full work: 29 pages
Separate the size of genetic and environmental components from their continuity and contribution to stable personality differences.
Why you’re reading it. Extend the previous personality-stability question from describing persistence to examining modeled sources of that persistence.
A question to consider. If the siblings’ relative persistence remains similar over several years, what family and longitudinal comparisons would help investigate its sources beyond measuring the same trait twice?
Unit 3 of 5
Do people inherit only DNA?
Genetic and environmental differences can be associated. Scarr and McCartney propose ways this association develops; Kong and colleagues use transmitted and nontransmitted parental variants to investigate indirect associations. Compare the theory’s pathways with what the molecular design actually identifies.
Reading
5 of 9How People Make Their Own Environments: A Theory of Genotype → Environment Effects
Scarr, S., & McCartney, K. (1983). How people make their own environments: A theory of genotype → environment effects. Child Development, 54(2), 424–435. https://doi.org/10.2307/1129703
Foundational argument · Moderate · Full work: 12 pages
Distinguish passive, evocative, and active routes, and compare the theory’s emphasis with Sameroff’s wider developmental account.
Why you’re reading it. Replace the assumption of independent inputs with testable questions about how people encounter different experiences.
A question to consider. Leo seeks a demanding club and its coach gives him extra support. What evidence would distinguish selection and evocation from a claim that either process is genetically influenced?
Reading
6 of 9The Nature of Nurture: Effects of Parental Genotypes
Kong, A., Thorleifsson, G., Frigge, M. L., Vilhjalmsson, B. J., Young, A. I., Thorgeirsson, T. E., Benonisdottir, S., Oddsson, A., Halldorsson, B. V., Masson, G., Gudbjartsson, D. F., Helgason, A., Bjornsdottir, G., Thorsteinsdottir, U., & Stefansson, K. (2018). The nature of nurture: Effects of parental genotypes. Science, 359(6374), 424–428. https://doi.org/10.1126/science.aan6877
Landmark empirical study · Methodological contribution · Challenging · Full work: 5 pages
Follow the nontransmitted-score comparison while distinguishing educational attainment, cognitive ability, and specific family processes.
Why you’re reading it. See how measured DNA can help investigate environmental pathways while still leaving their mechanisms open.
A question to consider. How would information about Maya and Leo’s grandparents, aunts, and uncles help evaluate the claim that a parental-score association operates through their parents’ behavior?
Unit 4 of 5
Does context change the pattern?
Covariance is not the same as interaction. This unit asks whether estimated genetic contributions vary with socioeconomic context, then examines the additional argument needed to explain a difference across countries. Read the later evidence in the editorial context alongside the original inference.
Reading
7 of 9Large Cross-National Differences in Gene × Socioeconomic Status Interaction on Intelligence
Tucker-Drob, E. M., & Bates, T. C. (2016). Large cross-national differences in gene × socioeconomic status interaction on intelligence. Psychological Science, 27(2), 138–149. https://doi.org/10.1177/0956797615612727
Major synthesis · Challenging · Full work: 12 pages
Separate moderation of variance from association between genes and environments, and distinguish a country comparison from a policy experiment.
Why you’re reading it. Treat the setting as part of a genetic estimate rather than assuming the estimate travels unchanged.
A question to consider. If Maya and Leo move to a school with more uniform learning resources, what data would be needed to assess changes in average performance, score variation, and heritability separately?
Unit 5 of 5
What happens when environments change?
Return to causal comparisons. Education studies and a caregiving intervention ask how outcomes respond to changes in experience. Neither requires a prior verdict that an outcome is ‘mostly environmental.’ Identify what was changed, what was measured, and which comparison supports the inference.
Reading
8 of 9How Much Does Education Improve Intelligence? A Meta-Analysis
Ritchie, S. J., & Tucker-Drob, E. M. (2018). How much does education improve intelligence? A meta-analysis. Psychological Science, 29(8), 1358–1369. https://doi.org/10.1177/0956797618774253
Major synthesis · Methodological contribution · Challenging · Full work: 12 pages
Compare the assumptions behind the three designs and connect their estimates to the populations and schooling changes studied.
Why you’re reading it. Distinguish an effect of additional education from a decomposition of the variation observed under existing conditions.
A question to consider. A school-leaving reform raises later test scores. Why would that be compatible with a substantial heritability estimate before the reform, and what would it leave unknown about Maya’s likely gain?
Reading
9 of 9Cognitive Recovery in Socially Deprived Young Children
Nelson, C. A., III, Zeanah, C. H., Fox, N. A., Marshall, P. J., Smyke, A. T., & Guthrie, D. (2007). Cognitive recovery in socially deprived young children: The Bucharest Early Intervention Project. Science, 318(5858), 1937–1940. https://doi.org/10.1126/science.1143921
Landmark empirical study · Moderate · Full work: 4 pages
Separate the randomized care comparison from the comparison with never-institutionalized children, the placement-age analysis, and the study’s ethical questions.
Why you’re reading it. Finish with an environmental intervention whose causal scope can be stated precisely.
A question to consider. What would this intervention justify saying about the effect of improved care, and why would it not explain all initial differences among children or predict the effect of ordinary household differences between the fictional siblings?
Scope and omissions
Nine core works across five units address origins of differences in personality and cognitive performance. Their full journal lengths total 111 pages. The personality meta-analysis is substantial, and several papers use unfamiliar statistical models; this is an intermediate path, with definitions and application questions to support the reasoning.
The focus is on the interpretation of developmental, twin, family-genomic, and intervention evidence. It is not a complete course in quantitative genetics, molecular biology, adoption research, evolution, or the history of heredity and social policy. It does not provide genetic testing advice, an explanation of any particular person’s score, or evidence establishing genetic causes of differences between socially defined groups. Within-population heritability does not establish those causes.
Examples include cognitive ability, personality, and educational outcomes, which remain distinct constructs. Much of the family and genomic evidence has restricted geographical and ancestry coverage. Developmental pathways, social circumstances, and measurement belong in the interpretation, not outside it. Optional works deepen particular designs and debates without extending the core sequence.
Synthesis
A percentage cannot tell the whole history of a difference. Heritability describes variation within a population under particular conditions; family models depend on assumptions; associations with measured DNA can include environmental and demographic processes. These forms of evidence matter, but the path from a genetic variant to a psychological outcome contains steps that an association alone cannot disclose.
Developmental theory proposes pathways through which people and circumstances change one another. Those proposals need evidence that distinguishes competing processes. Gene–environment correlation, gene–environment interaction, and the effect of changing an environment are separate questions. Evidence for one does not settle the others.
Return to Maya and Leo. Choose either persistence or cognitive test performance and sketch two competing explanations of their differences. Identify one useful longitudinal observation, one family comparison, and one feasible environmental intervention. For each, state the question it could answer, the assumption it would need, and an inference it would leave open. Explain why neither the siblings’ shared household nor a population heritability estimate settles their individual story.
Return to What Is Intelligence? to examine the cognitive outcomes these studies seek to explain, or How Stable Is Personality? to distinguish descriptions of change from explanations of its sources. For more on identifying what a comparison can establish, revisit How to Read Psychological Science.
Continue with What Can Individual Differences Predict? to examine what abilities and traits forecast, how to judge new predictors, and what evidence is needed before a prediction guides a decision.
Further reading
Optional. Not part of the core sequence.
- Turkheimer, E. (2000). Three laws of behavior genetics and what they mean. Current Directions in Psychological Science, 9(5), 160–164. https://doi.org/10.1111/1467-8721.00084
- Plomin, R., & Daniels, D. (1987). Why are children in the same family so different from one another? Behavioral and Brain Sciences, 10(1), 1–16. https://doi.org/10.1017/S0140525X00055941
- Bouchard, T. J., Jr., Lykken, D. T., McGue, M., Segal, N. L., & Tellegen, A. (1990). Sources of human psychological differences: The Minnesota study of twins reared apart. Science, 250(4978), 223–228. https://doi.org/10.1126/science.2218526
- Wang, B., Baldwin, J. R., Schoeler, T., Cheesman, R., Barkhuizen, W., Dudbridge, F., Bann, D., Morris, T. T., & Pingault, J.-B. (2021). Robust genetic nurture effects on education: A systematic review and meta-analysis based on 38,654 families across 8 cohorts. The American Journal of Human Genetics, 108(9), 1780–1791. https://doi.org/10.1016/j.ajhg.2021.07.010
- Howe, L. J., Nivard, M. G., Morris, T. T., Hansen, A. F., Rasheed, H., Cho, Y., Chittoor, G., Ahlskog, R., Lind, P. A., Palviainen, T., van der Zee, M. D., Cheesman, R., Mangino, M., Wang, Y., Li, S., Klaric, L., Ratliff, S. M., Bielak, L. F., Nygaard, M., … Davies, N. M. (2022). Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects. Nature Genetics, 54(5), 581–592. https://doi.org/10.1038/s41588-022-01062-7