Heritability of IQ
Research on heritability of IQ infers, from the similarity of IQ in closely related persons, the proportion of variance of IQ among individuals in a study population that is associated with genetic variation within that population. This provides a maximum estimate of genetic versus environmental influence for phenotypic variation in IQ in that population. "Heritability", in this sense, "refers to the genetic contribution to variance within a population and in a specific environment". In other words, heritability is a mathematical estimate that indicates how much of a trait’s variation can be attributed to genes. There has been significant controversy in the academic community about the heritability of IQ since research on the issue began in the late nineteenth century. Intelligence in the normal range is a polygenic trait, meaning it's influenced by more than one gene.
The general figure for the heritability of IQ, according to an authoritative American Psychological Association report, is 0.45 for children, and rises to around 0.75 for late adolescents and adults. The heritability of IQ increases with age and reaches an asymptote at 18–20 years of age and continues at that level well into adulthood. Recent studies suggest that family and parenting characteristics are not significant contributors to variation in IQ scores; however, poor prenatal environment, malnutrition and disease can have deleterious effects.
- 1 Heritability and caveats
- 2 Estimates of the heritability of IQ
- 3 Molecular genetic investigations
- 4 Correlations between IQ and degree of genetic relatedness
- 5 Between-group heritability
- 6 See also
- 7 Notes and references
- 8 Further reading
- 9 External links
Heritability and caveats
"Heritability" is defined as the proportion of variance in a trait which is attributable to genetic variation within a defined population in a specific environment. Heritability takes a value ranging from 0 to 1; a heritability of 1 indicates that all variation in the trait in question is genetic in origin and a heritability of 0 indicates that none of the variation is genetic. The determination of many traits can be considered primarily genetic under similar environmental backgrounds. For example, a 2006 study found that adult height has a heritability estimated at 0.80 when looking only at the height variation within families where the environment should be very similar. Other traits have lower heritabilities, which indicate a relatively larger environmental influence. For example, a twin study on the heritability of depression in men calculated it as 0.29, while it was 0.42 for women in the same study. Contrary to popular belief, two parents of higher IQ will not necessarily produce offspring of equal or higher intelligence. In fact, according to the concept of regression toward the mean, parents whose IQ is at either extreme are more likely to produce offspring with IQ closer to the mean (or average). Although this is true, it is important to note that these parents are still more likely to produce offspring with intelligence on either end of the extreme than parents with average intelligence.
There are a number of points to consider when interpreting heritability:
- Heritability measures the proportion of variation in a trait that can be attributed to genes, and not the proportion of a trait caused by genes. Thus, if the environment relevant to a given trait changes in a way that affects all members of the population equally, the mean value of the trait will change without any change in its heritability (because the variation or differences among individuals in the population will stay the same). This has evidently happened for height: the heritability of stature is high, but average heights continue to increase. Thus, even in developed nations, a high heritability of a trait does not necessarily mean that average group differences are due to genes. Some have gone further, and used height as an example in order to argue that "even highly heritable traits can be strongly manipulated by the environment, so heritability has little if anything to do with controllability."
- A common error is to assume that a heritability figure is necessarily unchangeable. The value of heritability can change if the impact of environment (or of genes) in the population is substantially altered. If the environmental variation encountered by different individuals increases, then the heritability figure would decrease. On the other hand, if everyone had the same environment, then heritability would be 100%. The population in developing nations often has more diverse environments than in developed nations. This would mean that heritability figures would be lower in developing nations. Another example is phenylketonuria which previously caused mental retardation for everyone who had this genetic disorder and thus had a heritability of 100%. Today, this can be prevented by following a modified diet, resulting in a lowered heritability.
- A high heritability of a trait does not mean that environmental effects such as learning are not involved. Vocabulary size, for example, is very substantially heritable (and highly correlated with general intelligence) although every word in an individual's vocabulary is learned. In a society in which plenty of words are available in everyone's environment, especially for individuals who are motivated to seek them out, the number of words that individuals actually learn depends to a considerable extent on their genetic predispositions and thus heritability is high.
- Since heritability increases during childhood and adolescence, and even increases greatly between 16–20 years of age and adulthood, one should be cautious drawing conclusions regarding the role of genetics and environment from studies where the participants are not followed until they are adults. Furthermore, there may be differences regarding the effects on the g-factor and on non-g factors, with g possibly being harder to affect and environmental interventions disproportionately affecting non-g factors.
Estimates of the heritability of IQ
Various studies have found the heritability of IQ to be between 0.7 and 0.8 in adults and 0.45 in childhood in the United States. It may seem reasonable to expect that genetic influences on traits like IQ should become less important as one gains experiences with age. However, that the opposite occurs is well documented. Heritability measures in infancy are as low as 0.2, around 0.4 in middle childhood, and as high as 0.8 in adulthood. One proposed explanation is that people with different genes tend to seek out different environments that reinforce the effects of those genes. The brain undergoes morphological changes in development which suggests that age-related physical changes could also contribute to this effect.
A 1994 article in Behavior Genetics based on a study of Swedish identical/fraternal twins found the heritability of the sample to be as high as 0.80 in general cognitive ability, however it also varies based on the trait, with 0.60 for verbal tests, 0.50 for spatial and speed-of-processing tests, and only 0.40 for memory tests; in contrast, studies of other populations estimate an average heritability of 0.50 for general cognitive ability.
There are some family effects on the IQ of children, accounting for up to a quarter of the variance. However, adoption studies show that by adulthood adoptive siblings aren't more similar in IQ than strangers, while adult full siblings show an IQ correlation of 0.6. However, some studies of twins reared apart (e.g. Bouchard, 1990) find a significant shared environmental influence, of at least 10% going into late adulthood. Judith Rich Harris suggests that this might be due to biasing assumptions in the methodology of the classical twin and adoption studies.
There are aspects of environments that family members have in common (for example, characteristics of the home). This shared family environment accounts for 0.25-0.35 of the variation in IQ in childhood. By late adolescence it is quite low (zero in some studies). There is a similar effect for several other psychological traits. These studies have not looked into the effects of extreme environments such as in abusive families.
The American Psychological Association's report "Intelligence: Knowns and Unknowns" (1995) states that there is no doubt that normal child development requires a certain minimum level of responsible care. Severely deprived, neglectful, or abusive environments must have negative effects on a great many aspects of development, including intellectual aspects. Beyond that minimum, however, the role of family experience is in serious dispute. There is no doubt that such variables as resources of the home and parents' use of language are correlated with children's IQ scores, but such correlations may be mediated by genetic as well as (or instead of) environmental factors. But how much of that variance in IQ results from differences between families, as contrasted with the varying experiences of different children in the same family? Recent twin and adoption studies suggest that while the effect of the shared family environment is substantial in early childhood, it becomes quite small by late adolescence. These findings suggest that differences in the life styles of families whatever their importance may be for many aspects of children's lives make little long-term difference for the skills measured by intelligence tests.
Although parents treat their children differently, such differential treatment explains only a small amount of non-shared environmental influence. One suggestion is that children react differently to the same environment due to different genes. More likely influences may be the impact of peers and other experiences outside the family. For example, siblings grown up in the same household may have different friends and teachers and even contract different illnesses. This factor may be one of the reasons why IQ score correlations between siblings decreases as they get older.
Malnutrition and Diseases
Certain single gene genetic disorders can severely affect intelligence, with phenylketonuria as an example; with publications which show the capacity of phenylketonuria to produce a reduction of 10 IQ points on average. In contrast, meta analyses have found that environmental factors can result in large reductions in average IQ, such as iodine deficiency which has been shown to produce a reduction of 12.5 IQ points on average.
Heritability and socioeconomic status
The APA report "Intelligence: Knowns and Unknowns" (1995) also stated that:
"We should note, however, that low-income and non-white families are poorly represented in existing adoption studies as well as in most twin samples. Thus it is not yet clear whether these studies apply to the population as a whole. It remains possible that, across the full range of income and ethnicity, between-family differences have more lasting consequences for psychometric intelligence."
A study (1999) by Capron and Duyme of French children adopted between the ages of four and six examined the influence of socioeconomic status (SES). The children's IQs initially averaged 77, putting them near retardation. Most were abused or neglected as infants, then shunted from one foster home or institution to the next. Nine years later after adoption, when they were on average 14 years old, they retook the IQ tests, and all of them did better. The amount they improved was directly related to the adopting family's socioeconomic status. "Children adopted by farmers and laborers had average IQ scores of 85.5; those placed with middle-class families had average scores of 92. The average IQ scores of youngsters placed in well-to-do homes climbed more than 20 points, to 98."
Stoolmiller (1999) argued that the range of environments in previous adoption studies were restricted. Adopting families tend to be more similar on, for example, socio-economic status than the general population, which suggests a possible underestimation of the role of the shared family environment in previous studies. Corrections for range restriction to adoption studies indicated that socio-economic status could account for as much as 50% of the variance in IQ.
On the other hand, the effect of this was examined by Matt McGue and colleagues (2007), who wrote that "restriction in range in parent disinhibitory psychopathology and family socio-economic status had no effect on adoptive-sibling correlations [in] IQ"
Turkheimer and colleagues (2003) argued that the proportions of IQ variance attributable to genes and environment vary with socioeconomic status. They found that in a study on seven-year-old twins, in impoverished families, 60% of the variance in early childhood IQ was accounted for by the shared family environment, and the contribution of genes is close to zero; in affluent families, the result is almost exactly the reverse.
In contrast to Turkheimer (2003), a study by Nagoshi and Johnson (2005) concluded that the heritability of IQ did not vary as a function of parental socioeconomic status in the 949 families of Caucasian and 400 families of Japanese ancestry who took part in the Hawaii Family Study of Cognition.
Asbury and colleagues (2005) studied the effect of environmental risk factors on verbal and non-verbal ability in a nationally representative sample of 4-year-old British twins. There was not any statistically significant interaction for non-verbal ability, but the heritability of verbal ability was found to be higher in low-SES and high-risk environments.
Harden and colleagues (2007) investigated adolescents, most 17 years old, and found that, among higher income families, genetic influences accounted for approximately 55% of the variance in cognitive aptitude and shared environmental influences about 35%. Among lower income families, the proportions were in the reverse direction, 39% genetic and 45% shared environment."
Rushton and Jensen (2010) criticized many of these studies for being done on children or adolescents. They argued that heritability increases during childhood and adolescence, and even increases greatly between 16–20 years of age and adulthood, so one should be cautious drawing conclusions regarding the role of genetics from studies where the participants are not adults. Furthermore, the studies typically did not examine if IQ gains due to adoption were on the general intelligence factor (g). When the studies by Capron and Duyme were re-examined, IQ gains from being adopted into high SES homes were on non-g factors. By contrast, the adopted children's g mainly depended on their biological parents SES, which implied that g is more difficult to environmentally change.
A 2011 study by Tucker-Drob and colleagues reported that at age 2 years, genes accounted for approximately 50% of the variation in mental ability for children being raised in high socioeconomic status families, but genes accounted for negligible variation in mental ability for children being raised in low socioeconomic status families. This gene-environment interaction was not apparent at age 10 months, suggesting that the effect emerges over the course of early development.
A 2012 study based on a representative sample of twins from the United Kingdom, with longitudinal data on IQ from age two to age fourteen, did not find evidence for lower heritability in low-SES families. However, the study indicated that the effects of shared family environment on IQ were generally greater in low-SES families than in high-SES families, resulting in greater variance in IQ in low-SES families. The authors noted that previous research had produced inconsistent results on whether or not SES moderates the heritability of IQ. They suggested three explanations for the inconsistency. First, some studies may have lacked statistical power to detect interactions. Second, the age range investigated has varied between studies. Third, the effect of SES may vary in different demographics and different countries.
Maternal (fetal) environment
A meta-analysis by Devlin and colleagues (1997) of 212 previous studies evaluated an alternative model for environmental influence and found that it fits the data better than the 'family-environments' model commonly used. The shared maternal (fetal) environment effects, often assumed to be negligible, account for 20% of covariance between twins and 5% between siblings, and the effects of genes are correspondingly reduced, with two measures of heritability being less than 50%. They argue that the shared maternal environment may explain the striking correlation between the IQs of twins, especially those of adult twins that were reared apart. IQ heritability increases during early childhood, but whether it stabilizes thereafter remains unclear. These results have two implications: a new model may be required regarding the influence of genes and environment on cognitive function; and interventions aimed at improving the prenatal environment could lead to a significant boost in the population's IQ.
Bouchard and McGue reviewed the literature in 2003, arguing that Devlin's conclusions about the magnitude of heritability is not substantially different from previous reports and that their conclusions regarding prenatal effects stands in contradiction to many previous reports. They write that:
Chipuer et al. and Loehlin conclude that the postnatal rather than the prenatal environment is most important. The Devlin et al. (1997a) conclusion that the prenatal environment contributes to twin IQ similarity is especially remarkable given the existence of an extensive empirical literature on prenatal effects. Price (1950), in a comprehensive review published over 50 years ago, argued that almost all MZ twin prenatal effects produced differences rather than similarities. As of 1950 the literature on the topic was so large that the entire bibliography was not published. It was finally published in 1978 with an additional 260 references. At that time Price reiterated his earlier conclusion (Price, 1978). Research subsequent to the 1978 review largely reinforces Price’s hypothesis (Bryan, 1993; Macdonald et al., 1993; Hall and Lopez-Rangel, 1996; see also Martin et al., 1997, box 2; Machin, 1996).
Dickens and Flynn model
Dickens and Flynn (2001) argued that the "heritability" figure includes both a direct effect of the genotype on IQ and also indirect effects where the genotype changes the environment, in turn affecting IQ. That is, those with a higher IQ tend to seek out stimulating environments that further increase IQ. The direct effect can initially have been very small but feedback loops can create large differences in IQ. In their model an environmental stimulus can have a very large effect on IQ, even in adults, but this effect also decays over time unless the stimulus continues. This model could be adapted to include possible factors, like nutrition in early childhood, that may cause permanent effects.
The Flynn effect is the increase in average intelligence test scores by about 0.3% annually, resulting in the average person today scoring 15 points higher in IQ compared to the generation 50 years ago. This effect can be explained by a generally more stimulating environment for all people. The authors suggest that programs aiming to increase IQ would be most likely to produce long-term IQ gains if they taught children how to replicate outside the program the kinds of cognitively demanding experiences that produce IQ gains while they are in the program and motivate them to persist in that replication long after they have left the program. Most of the improvements have allowed for better abstract reasoning, spatial relations, and comprehension. Some scientists have suggested that such enhancements are due to better nutrition, better parenting and schooling, as well as exclusion of the least intelligent people from reproduction. However, Flynn and a group of other scientists share the viewpoint that modern life implies solving many abstract problems which leads to a rise in their IQ scores.
Influence of genes on IQ stability
More recent research has illuminated genetic factors underlying IQ stability and change. Genome-wide association studies have demonstrated that the genes involved in intelligence remain fairly stable over time. Specifically, in terms of IQ stability, "genetic factors mediated phenotypic stability throughout this entire period [age 0 to 16], whereas most age-to-age instability appeared to be due to nonshared environmental influences". These findings have been replicated extensively and observed in the United Kingdom, the United States, and the Netherlands. Additionally, researchers have shown that naturalistic changes in IQ occur in individuals at variable times.
Molecular genetic investigations
A 2009 review article identified over 50 genetic polymorphisms that have been reported to be associated with cognitive ability in various studies, but noted that the discovery of small effect sizes and lack of replication have characterized this research so far. Another study attempted to replicate 12 reported associations between specific genetic variants and general cognitive ability in three large datasets, but found that only one of the genotypes was significantly associated with general intelligence in one of the samples, a result expected by chance alone. The authors concluded that most reported genetic associations with general intelligence are probably false positives brought about by inadequate sample sizes. Arguing that common genetic variants explain much of the variation in general intelligence, they suggested that the effects of individual variants are so small that very large samples are required to reliably detect them.
A novel molecular genetic method for estimating heritability calculates the overall genetic similarity (as indexed by the cumulative effects of all genotyped single nucleotide polymorphisms) between all pairs of individuals in a sample of unrelated individuals and then correlates this genetic similarity with phenotypic similarity across all the pairs. A study using this method estimated that the lower bounds for the narrow-sense heritability of crystallized and fluid intelligence are 40% and 51%, respectively. A replication study in an independent sample confirmed these results, reporting a heritability estimate of 47%. These findings are compatible with the view that a large number of genes, each with only a small effect, contribute to differences in intelligence.
The relative influence of genetics and environment for a trait can be calculated by measuring how strongly traits covary in people of a given genetic (unrelated, siblings, fraternal twins, or identical twins) and environmental (reared in the same family or not) relationship. One method is to consider identical twins reared apart, with any similarities which exists between such twin pairs attributed to genotype. In terms of correlation statistics, this means that theoretically the correlation of tests scores between monozygotic twins would be 1.00 if genetics alone accounted for variation in IQ scores; likewise, siblings and dizygotic twins share on average half of their alleles and the correlation of their scores would be 0.50 if IQ were affected by genes alone (or greater if, as is undoubtedly the case, there is a positive correlation between the IQs of spouses in the parental generation). Practically, however, the upper bound of these correlations are given by the reliability of the test, which is 0.90 to 0.95 for typical IQ tests
If there is biological inheritance of IQ, then the relatives of a person with a high IQ should exhibit a comparably high IQ with a much higher probability than the general population. In 1982, Bouchard and McGue reviewed such correlations reported in 111 original studies in the United States. The mean correlation of IQ scores between monozygotic twins was 0.86, between siblings, 0.47, between half-siblings, 0.31, and between cousins, 0.15.
The 2006 edition of Assessing adolescent and adult intelligence by Alan S. Kaufman and Elizabeth O. Lichtenberger reports correlations of 0.86 for identical twins raised together compared to 0.76 for those raised apart and 0.47 for siblings. These number are not necessarily static. When comparing pre-1963 to late 1970s data, researches DeFries and Plomin found that the IQ correlation between parent and child living together fell significantly, from 0.50 to 0.35. The opposite occurred for fraternal twins.
- Same person (tested twice) .95
- Identical twins—Reared together .86
- Identical twins—Reared apart .76
- Fraternal twins—Reared together .55
- Fraternal twins—Reared apart .35
- Biological siblings—Reared together .47
- Biological siblings—Reared apart .24
- Unrelated children—Reared together—Children .28
- Unrelated children—Reared together—Adults .04
- Cousins .15
- Parent-child—Living together .42
- Parent-child—Living apart .22
- Adoptive parent–child—Living together .19
Although IQ differences between individuals are shown to have a large hereditary component, it does not follow that mean group-level disparities (between-group differences) in IQ necessarily have a genetic basis. The Flynn effect is one example where there is a large difference between groups(past and present) with little or no genetic difference. An analogy, attributed to Richard Lewontin, illustrates this point:
Suppose two handfuls are taken from a sack containing a genetically diverse variety of corn, and each grown under carefully controlled and standardized conditions, except that one batch is lacking in certain nutrients that are supplied to the other. After several weeks, the plants are measured. There is variability of growth within each batch, due to the genetic variability of the corn. Given that the growing conditions are closely controlled, nearly all the variation in the height of the plants within a batch will be due to differences in their genes. Thus, within populations, heritabilities will be very high. Nevertheless, the difference between the two groups is due entirely to an environmental factor - differential nutrition. Lewontin didn't go so far as to have the one set of pots painted white and the other set black, but you get the idea. The point of the example, in any case, is that the causes of between-group differences may in principle be quite different from the causes of within-group variation.
Arthur Jensen has written in agreement that this is technically correct, but he has also stated that a high heritability increases the probability that genetics play a role in average group differences.
Notes and references
- Rose SP (June 2006). "Commentary: heritability estimates—long past their sell-by date". Int J Epidemiol. 35 (3): 525–7. doi:10.1093/ije/dyl064. PMID 16645027.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Devlin, B.; Daniels, Michael; Roeder, Kathryn (1997). "The heritability of IQ". Nature. 388 (6641): 468–71. doi:10.1038/41319. PMID 9242404.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Alice Marcus. 2010. Human Genetics: An Overview. Alpha Science section 14.5
- Davies, G.; Tenesa, A.; Payton, A.; Yang, J.; Harris, S. E.; Liewald, D.; Deary, I. J. (2011). "Genome-wide association studies establish that human intelligence is highly heritable and polygenic". Molecular psychiatry. 16 (10): 996–1005. doi:10.1038/mp.2011.85. PMC 3182557. PMID 21826061.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Aguiar, Sebastian (31 October 2014). "Intelligence: The History of Psychometrics". http://ieet.org. Instititute for Ethics and Emerging Technologies. Retrieved 9 November 2015. External link in
- Neisser, Ulric; Boodoo, Gwyneth; Bouchard, Thomas J., Jr.; Boykin, A. Wade; Brody, Nathan; Ceci, Stephen J.; Halpern, Diane F.; Loehlin, John C.; et al. (1996). "Intelligence: Knowns and unknowns". American Psychologist. 51 (2): 77–101. doi:10.1037/0003-066X.51.2.77.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Bouchard, Thomas J. (2013). "The Wilson Effect: The Increase in Heritability of IQ With Age". Twin Research and Human Genetics. 16 (05): 923–930. doi:10.1017/thg.2013.54. ISSN 1832-4274. PMID 23919982.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Beaver, KM. (2014). "A closer look at the role of parenting-related influences on verbal intelligence over the life course: Results from an adoption-based research design". Intelligence. 46: 179–187. doi:10.1016/j.intell.2014.06.002.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Eppig, C. (2010). "Parasite prevalence and the worldwide distribution of cognitive ability". Proceedings of the Royal Society of London B: Biological Sciences. 277 (1701): 3801–3808. doi:10.1098/rspb.2010.0973. PMC 2992705. PMID 20591860.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Daniele, V. (2013). "The burden of disease and the IQ of nations". Learning and Individual Differences. 28: 109–118. doi:10.1016/j.lindif.2013.09.015.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Visscher, Peter M.; Medland, Sarah E.; Ferreira, Manuel A. R.; Morley, Katherine I.; Zhu, Gu; Cornes, Belinda K.; Montgomery, Grant W.; Martin, Nicholas G. (2006). "Assumption-Free Estimation of Heritability from Genome-Wide Identity-by-Descent Sharing between Full Siblings". PLoS Genetics. 2 (3): e41. doi:10.1371/journal.pgen.0020041. PMC 1413498. PMID 16565746.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Kendler, K. S.; Gatz, M; Gardner, CO; Pedersen, NL (2006). "A Swedish National Twin Study of Lifetime Major Depression". American Journal of Psychiatry. 163 (1): 109–14. doi:10.1176/appi.ajp.163.1.109. PMID 16390897.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Strachan, Tom; Read, Andrew (2011). Human Molecular Genetics, Fourth Edition. New York: Garland Science. pp. 80–81. ISBN 978-0-8153-4149-9.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Humphreys, Lloyd G. (1978). "To understand regression from parent to offspring, think statistically". Psychological Bulletin. 85 (6): 1317–1322. doi:10.1037/0033-2909.85.6.1317. ISSN 0033-2909.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Brooks-Gunn, Jeanne; Klebanov, Pamela K.; Duncan, Greg J. (1996). "Ethnic Differences in Children's Intelligence Test Scores: Role of Economic Deprivation, Home Environment, and Maternal Characteristics". Child Development. 67 (2): 396–408. doi:10.2307/1131822. JSTOR 1131822. PMID 8625720.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Johnson, Wendy; Turkheimer, Eric; Gottesman, Irving I.; Bouchard Jr., Thomas J. (2009). "Beyond Heritability: Twin Studies in Behavioral Research". Current Directions in Psychological Science. 18 (4): 217–20. doi:10.1111/j.1467-8721.2009.01639.x. PMC 2899491. PMID 20625474.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Rushton, J. Philippe; Jensen, Arthur R. (2010). "Race and IQ: A Theory-Based Review of the Research in Richard Nisbett's Intelligence and How to Get It". The Open Psychology Journal. 3: 9–35. doi:10.2174/1874350101003010009.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Plomin, R.; Pedersen, N. L.; Lichtenstein, P.; McClearn, G. E. (1994). "Variability and stability in cognitive abilities are largely genetic later in life". Behavior Genetics. 24 (3): 207–15. doi:10.1007/BF01067188. PMID 7945151.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Bouchard, Thomas J.; Lykken, David T.; McGue, Matthew; Segal, Nancy L.; Tellegen, Auke (1990). "Sources of Human Psychological Differences: The Minnesota Study of Twins Reared Apart". Science. 250 (4978): 223–8. Bibcode:1990Sci...250..223B. doi:10.1126/science.2218526. PMID 2218526.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Deary, Ian J.; Johnson, W.; Houlihan, L. M. (2009). "Genetic foundations of human intelligence" (PDF). Human Genetics. 126 (1): 215–232. doi:10.1007/s00439-009-0655-4. ISSN 0340-6717. PMID 19294424.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- David L. Kirp (July 23, 2006). "After the Bell Curve". New York Times Magazine. Retrieved August 6, 2006.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Bouchard Jr, TJ (1998). "Genetic and environmental influences on adult intelligence and special mental abilities". Human biology. 70 (2): 257–79. PMID 9549239.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Harris, JR (2006). No Two Alike.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>[page needed]
- Plomin, R; Asbury, K; Dunn, J (2001). "Why are children in the same family so different? Nonshared environment a decade later". Canadian Journal of Psychiatry. 46 (3): 225–33. PMID 11320676.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- (Harris 1998)
- Schacter, Daniel; Gilbert, Daniel; Wegner, Daniel (2010). Psychology (2nd ed.). New York: Worth Publishers. p. 408. ISBN 978-1-4292-3719-2.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Robert J. Sternberg; Elena Grigorenko (2002). The general factor of intelligence. Lawrence Erlbaum Associates. pp. 260–261. ISBN 978-0-8058-3675-2.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>[page needed]
- Griffiths PV (2000). "Wechsler subscale IQ and subtest profile in early treated phenylketonuria". Arch Dis Child. 82 (3): 209–215. doi:10.1136/adc.82.3.209. PMID 10685922.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Qian M, Wang D, Watkins WE, Gebski V, Yan YQ, Li M; et al. (2005). "The effects of iodine on intelligence in children: a meta-analysis of studies conducted in China". Asia Pacific Journal of Clinical Nutrition. 14 (1): 32–42. PMID 15734706.CS1 maint: multiple names: authors list (link)<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Duyme, Michel; Dumaret, Annick-Camille; Tomkiewicz, Stanislaw (1999). "How can we boost IQs of 'dull children'?: A late adoption study". Proceedings of the National Academy of Sciences. 96 (15): 8790–4. Bibcode:1999PNAS...96.8790D. doi:10.1073/pnas.96.15.8790. JSTOR 48565. PMC 17595. PMID 10411954.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Stoolmiller, Mike (1999). "Implications of the restricted range of family environments for estimates of heritability and nonshared environment in behavior-genetic adoption studies". Psychological Bulletin. 125 (4): 392–409. doi:10.1037/0033-2909.125.4.392. PMID 10414224.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- McGue, Matt; Keyes, Margaret; Sharma, Anu; Elkins, Irene; Legrand, Lisa; Johnson, Wendy; Iacono, William G. (2007). "The Environments of Adopted and Non-adopted Youth: Evidence on Range Restriction From the Sibling Interaction and Behavior Study (SIBS)". Behavior Genetics. 37 (3): l449–462. doi:10.1007/s10519-007-9142-7. PMID 17279339.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Turkheimer, Eric; Haley, Andreana; Waldron, Mary; d'Onofrio, Brian; Gottesman, Irving I. (2003). "Socioeconomic status modifies heritability of iq in young children". Psychological Science. 14 (6): 623–8. doi:10.1046/j.0956-7976.2003.psci_1475.x. PMID 14629696.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Nagoshi, Craig T.; Johnson, Ronald C. (2004). "Socioeconomic Status Does Not Moderate the Familiality of Cognitive Abilities in the Hawaii Family Study of Cognition". Journal of Biosocial Science. 37 (6): 773–81. doi:10.1017/S0021932004007023. PMID 16221325.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Asbury, K; Wachs, T; Plomin, R (2005). "Environmental moderators of genetic influence on verbal and nonverbal abilities in early childhood". Intelligence. 33 (6): 643–61. doi:10.1016/j.intell.2005.03.008.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Harden, K. Paige; Turkheimer, Eric; Loehlin, John C. (2006). "Genotype by Environment Interaction in Adolescents' Cognitive Aptitude". Behavior Genetics. 37 (2): 273–83. doi:10.1007/s10519-006-9113-4. PMC 2903846. PMID 16977503.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Tucker-Drob, E. M.; Rhemtulla, M.; Harden, K. P.; Turkheimer, E.; Fask, D. (2010). "Emergence of a Gene x Socioeconomic Status Interaction on Infant Mental Ability Between 10 Months and 2 Years". Psychological Science. 22 (1): 125–33. doi:10.1177/0956797610392926. PMC 3532898. PMID 21169524.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Hanscombe, Ken B.; Trzaskowski, Maciej; Haworth, Claire M. A.; Davis, Oliver S. P.; Dale, Philip S.; Plomin, Robert (2012). Scott, James G (ed.). "Socioeconomic Status (SES) and Children's Intelligence (IQ): In a UK-Representative Sample SES Moderates the Environmental, Not Genetic, Effect on IQ". PLoS ONE. 7 (2): e30320. Bibcode:2012PLoSO...730320H. doi:10.1371/journal.pone.0030320. PMC 3270016. PMID 22312423.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Bouchard, Thomas J.; McGue, Matt (2003). "Genetic and environmental influences on human psychological differences". Journal of Neurobiology. 54 (1): 4–45. doi:10.1002/neu.10160. PMID 12486697.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Schacter, Daniel; Gilbert, Daniel; Wegner, Daniel (2010). Psychology (2nd ed.). New York: Worth Publishers. pp. 409–10. ISBN 978-1-4292-3719-2.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Dickens, William T.; Flynn, James R. (2001). "Heritability estimates versus large environmental effects: The IQ paradox resolved". Psychological Review. 108 (2): 346–69. doi:10.1037/0033-295X.108.2.346. PMID 11381833.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Dickens, William T.; Flynn, James R. (2002). "The IQ Paradox: Still Resolved". Psychological Review. 109 (4): 764–771. doi:10.1037/0033-295x.109.4.764.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Trzaskowski, M; Yang, J; Visscher, P M; Plomin, R (2013). "DNA evidence for strong genetic stability and increasing heritability of intelligence from age 7 to 12". Molecular Psychiatry. 19 (3): 380–384. doi:10.1038/mp.2012.191. PMID 23358157.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Petrill, Stephen A.; Lipton, Paul A.; Hewitt, John K.; Plomin, Robert; Cherny, Stacey S.; Corley, Robin; Defries, John C. (2004). "Genetic and Environmental Contributions to General Cognitive Ability Through the First 16 Years of Life". Developmental Psychology. 40 (5): 805–12. doi:10.1037/0012-1622.214.171.1245. PMID 15355167.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Lyons, Michael J.; York, Timothy P.; Franz, Carol E.; Grant, Michael D.; Eaves, Lindon J.; Jacobson, Kristen C.; Schaie, K. Warner; Panizzon, Matthew S.; et al. (2009). "Genes Determine Stability and the Environment Determines Change in Cognitive Ability During 35 Years of Adulthood". Psychological Science. 20 (9): 1146–52. doi:10.1111/j.1467-9280.2009.02425.x. PMC 2753423. PMID 19686293.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Kovas, Y; Haworth, CM; Dale, PS; Plomin, R (2007). "The genetic and environmental origins of learning abilities and disabilities in the early school years". Monographs of the Society for Research in Child Development. 72 (3): vii, 1–144. doi:10.1111/j.1540-5834.2007.00453.x. PMID 17995572.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Loehlin, JC; Horn, JM; Willerman, L (1989). "Modeling IQ change: Evidence from the Texas Adoption Project". Child Development. 60 (4): 993–1004. doi:10.2307/1131039. PMID 2758892.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Van Soelen, Inge L.C.; Brouwer, Rachel M.; Leeuwen, Marieke van; Kahn, René S.; Hulshoff Pol, Hilleke E.; Boomsma, Dorret I. (2012). "Heritability of Verbal and Performance Intelligence in a Pediatric Longitudinal Sample". Twin Research and Human Genetics. 14 (2): 119–28. doi:10.1375/twin.14.2.119. PMID 21425893.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Bartels, M; Rietveld, MJ; Van Baal, GC; Boomsma, DI (2002). "Genetic and environmental influences on the development of intelligence". Behavior genetics. 32 (4): 237–49. doi:10.1023/A:1019772628912. PMID 12211623.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Hoekstra, Rosa A.; Bartels, Meike; Boomsma, Dorret I. (2007). "Longitudinal genetic study of verbal and nonverbal IQ from early childhood to young adulthood". Learning and Individual Differences. 17 (2): 97–114. doi:10.1016/j.lindif.2007.05.005.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Rietveld, MJ; Dolan, CV; Van Baal, GC; Boomsma, DI (2003). "A twin study of differentiation of cognitive abilities in childhood". Behavior genetics. 33 (4): 367–81. doi:10.1023/A:1025388908177. PMID 14574137.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Moffitt, TE; Caspi, A; Harkness, AR; Silva, PA (1993). "The natural history of change in intellectual performance: Who changes? How much? Is it meaningful?". Journal of child psychology and psychiatry, and allied disciplines. 34 (4): 455–506. doi:10.1111/j.1469-7610.1993.tb01031.x. PMID 8509490.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Payton, Antony (2009). "The Impact of Genetic Research on our Understanding of Normal Cognitive Ageing: 1995 to 2009". Neuropsychology Review. 19 (4): 451–77. doi:10.1007/s11065-009-9116-z. PMID 19768548.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Chabris, C. F.; Hebert, B. M.; Benjamin, D. J.; Beauchamp, J.; Cesarini, D.; Van Der Loos, M.; Johannesson, M.; Magnusson, P. K. E.; et al. (2012). "Most Reported Genetic Associations with General Intelligence Are Probably False Positives". Psychological Science. 23 (11): 1314–23. doi:10.1177/0956797611435528. PMC 3498585. PMID 23012269.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Davies, G.; Tenesa, A.; Payton, A.; Yang, J.; Harris, S. E.; Liewald, D.; Deary, I. J. (2011). "Genome-wide association studies establish that human intelligence is highly heritable and polygenic". Molecular Psychiatry. 16 (10): 996–1005. doi:10.1038/mp.2011.85. PMC 3182557. PMID 21826061.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Jensen, Arthur (1998). The g Factor: The Science of Mental Ability. Westport, Connecticut: Praeger Publishers[page needed]
- Bouchard, Thomas J.; McGue, Matthew (1981). "Familial Studies of Intelligence: A Review". Science. 212 (4498): 1055–9. Bibcode:1981Sci...212.1055B. doi:10.1126/science.7195071. PMID 7195071.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Kaufman, Alan S.; Lichtenberger, Elizabeth (2006). Assessing Adolescent and Adult Intelligence (3rd ed.). Hoboken (NJ): Wiley. ISBN 978-0-471-73553-3. Unknown parameter
|laysummary=ignored (help)CS1 maint: ref=harv (link)<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>[page needed]
- Plomin, Robert; Defries, J.C. (1980). "Genetics and intelligence: Recent data". Intelligence. 4: 15–24. doi:10.1016/0160-2896(80)90003-3.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- IQ Testing 101, Alan S. Kaufman, 2009, Springer Publishing Company, ISBN 978-0-8261-0629-2, pages 179-183
- Lewontin, Richard C. (1970). "Race and intelligence". Bulletin of the Atomic Scientists. 26 (3): 2–8.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Loehlin, John (1992). "On Shonemann on Guttman on Jensen, via Lewontin". Multivariate Behavioral Research. 27 (2): 261–263. doi:10.1207/s15327906mbr2702_11.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Jensen, Arthur R. (1970). "Race and the genetics of intelligence: A reply to Lewontin". Bulletin of the Atomic Scientists. 26 (5): 17–23.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Plomin, Robert; DeFries, John C.; Knopik, Valerie S.; Neiderhiser, Jenae M. (24 September 2012). Behavioral Genetics. Shaun Purcell (Appendix: Statistical Methods in Behaviorial Genetics). Worth Publishers. ISBN 978-1-4292-4215-8. Retrieved 4 September 2013. Unknown parameter
|laysummary=ignored (help)CS1 maint: ref=harv (link)<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Johnson, Wendy; Penke, Lars; Spinath, Frank M. (2011). "Understanding Heritability: What it is and What it is Not" (PDF). European Journal of Personality. 25 (4): 287–294. doi:10.1002/per.835. ISSN 0890-2070. Archived from the original on 2011. Retrieved 15 December 2013. Unknown parameter
|deadurl=ignored (help)CS1 maint: ref=harv (link)<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Johnson, W. (2010). "Understanding the Genetics of Intelligence: Can Height Help? Can Corn Oil?" (PDF). Current Directions in Psychological Science. 19 (3): 177–182. doi:10.1177/0963721410370136. ISSN 0963-7214. Archived from the original on 25 August 2013. Retrieved 15 December 2013. Unknown parameter
|deadurl=ignored (help)CS1 maint: ref=harv (link)<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Scott Barry Kaufman (October 17, 2013). "The Heritability of Intelligence: Not What You Think". Scientific American. Retrieved 20 October 2013.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- McGue, Matt (5 May 2014). "Introduction to Human Behavioral Genetics". Coursera. Retrieved 10 June 2014.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles> Free Massively Open Online Course on human behavior genetics by Matt McGue of the University of Minnesota, including unit on genetics of human intelligence