Looking beyond the data

 

General intelligence (g factor) as a function of alleles associated with educational attainment (Education polygenic score). (Fuerst et al. 2021, p. 165)

Among non-Hispanic European Americans, cognitive ability shows a positive correlation with Amerindian admixture. The reason is to be found in the history of European settlement.

 

 

We know that cognitive ability differs among human populations, but are those differences innate? Or are they purely cultural? The question is difficult to answer because a purely cultural difference can, over time, become innate. If you are better able to meet the demands of your culture, you will probably live longer, have more offspring, and pass on many of your characteristics. Thus, over succeeding generations, those heritable characteristics will become more and more widespread in the gene pool, and they will increasingly determine certain abilities that were initially created by culture.

 

This is a recurring problem when we try to distinguish between cultural and genetic determination. The two often run parallel to each other, and we can seemingly rule out the existence of genetic determination by showing that cultural determination runs in the same direction.

 

But there is another recurring problem in our efforts to distinguish between culture and genetics. We lack the proper tools. For a long time, we could only infer genetic influences by using twin studies or adoption studies. 

 

Things have changed with the advent of a new tool: genomic data. Specifically, we can now:

 

·         Measure ethnic ancestry in mixed populations, as opposed to using self-report or inferring from skin color.

·         Measure the genetic component of cognitive ability, by using genetic variants associated with educational attainment. Although these variants explain only 11-13% of the variance in educational attainment among individuals, they explain a much higher percentage of the variance among populations (Piffer 2019). This is because genetic variants within the same population are exposed to the same pressure of selection and will thus vary in the same direction. They act, so to speak, as “weathervanes” that tell us the strength and direction of selection in that population.

·         Measure skin color, by looking at the relevant genes. We can thus control for the effects of “colorism” in mixed populations, i.e., discrimination in favor of lighter-skinned individuals.

 

In my last post, I described how Bryan Pesta used these tools to understand differences in mean cognitive ability between African Americans and European Americans (Lasker et al. 2019). To that end, his research team looked at cognitive ability among African Americans in relation to European admixture and in relation to genetic variants associated with educational attainment.

 

They made several findings: 1) among African Americans, cognitive ability correlates with European admixture; 2) the correlation is modestly reduced, but not eliminated, when controlled for parental education; 3) controlling for skin color has no effect; and 4) the correlation seems to be largely explained by genetic variants associated with educational attainment.

 

The same data source was then used by Fuerst et al. (2021) to investigate cognitive ability not only in European Americans and African Americans but also in Hispanic Americans. The research team thus looked at cognitive ability in relation to Amerindian admixture, and not just in relation to European and African admixture.

 

Most of their findings are similar to those of the first study:

 

·         Among Hispanic Americans, cognitive ability shows a positive correlation with European admixture and a negative correlation with African admixture and Amerindian admixture.

·         Among Hispanic Americans, the correlations are reduced but not eliminated by controlling for parental education. Controlling for skin color has no effect.

·         The above correlations are partially explained by variants associated with educational attainment, but not by skin color.

·         Among non-Hispanic European Americans, cognitive ability shows a positive correlation with Amerindian admixture.

 

The last correlation may seem curious. Keep in mind that the data came from residents of Pittsburgh and that the native peoples of the Eastern U.S. intermixed mostly with early settlers of British, Dutch, or French origin. There is much less Amerindian admixture among the descendants of later immigrants from southern and eastern Europe. The correlation may thus be due not to Amerindian admixture per se but rather to variation in cognitive ability among Europeans.

 

Until the eleventh century, mean IQ was relatively low throughout Europe, perhaps hovering in the low 90s. It then rose during late medieval and post-medieval times through the expansion of the middle class. There was in fact a broad mental and behavioral change: "Thrift, prudence, negotiation, and hard work were becoming values for communities that previously had been spendthrift, impulsive, violent, and leisure loving" (Clark 2007, p. 166; see also Clark 2007, 2009a, 2009b). More people could better understand probability, cause and effect, and another person’s perspective, whether real or hypothetical (Rinderman 2018, pp. 49, 86-87; Oesterdiekhoff 2012). As the "smart fraction" grew in size, a point was reached when intellectuals were no longer voices crying in the wilderness. They were now numerous enough to form learned societies and collaborate in projects of various sorts (Frost 2019b, pp. 175-176).

 

Western Europe was where the middle class began to expand, and that was where the expansion would have its greatest impact, not only demographically but also behaviorally and cognitively. Gregory Clark (2009a) has shown that the English, even in the lower classes, are largely descended from people who were middle-class several generations earlier. The same is likely true elsewhere in Western Europe. We should therefore see a cognitive gradient between the Western European core and its periphery, as can indeed be seen between northern and southern Italy. When Piffer and Lynn (2022) looked at genomic data from that country, they found a north-south gradient in alleles associated with educational attainment. That difference corresponds to historical differences in economic development. By the 18th century, the South had already fallen behind the North; its middle class had remained small and economic relations were still structured by paternalism and familialism (De Rosa 1979).

 

All of that leads to an interesting corollary: the IQ gap used to be smaller between Europeans and sub-Saharan Africans. On the one hand, European mean IQ had probably remained in the low 90s until late medieval times. On the other hand, mean IQ may have been in the upper 80s among those Black African groups that Europeans had first encountered, particularly the Nubians. By the time of Classical Antiquity they had reached a high level of material culture, social complexity and State formation.

 

A smaller IQ gap would be in line with an observation by Jason Malloy. He noted that blacks were often described in the ancient world as having large penises but not as being less intelligent. Indeed, I have found only two Greco-Roman texts in which the writer disparaged Black Africans as being unintelligent. One of them is of doubtful authenticity, and both come from Late Antiquity (Frost 2019b). By then, blacks in the Roman world were increasingly slaves who came from farther within the African interior. Thereafter, a stereotype of low intelligence is regularly attested in Middle Eastern and European sources.

 

 

References

 

Clark, G. (2007). A Farewell to Alms. A Brief Economic History of the World. Princeton University Press: Princeton and Oxford.

 

Clark, G. (2009a). The indicted and the wealthy: surnames, reproductive success, genetic selection and social class in pre-industrial England.  http://www.econ.ucdavis.edu/faculty/gclark/Farewell%20to%20Alms/Clark%20-Surnames.pdf     

 

Clark, G. (2009b). The domestication of man: The social implications of Darwin. ArtefaCTos 2: 64-80. https://www.researchgate.net/publication/277275046_The_Domestication_of_Man_The_Social_Implications_of_Darwin

 

De Rosa, L. (1979). Property Rights, Institutional Change, and Economic Growth in Southern Italy in the XVIIIth and XIXth Centuries. Journal of European Economic History 8(3): 531-551.

 

Frost, P. (2019a). The Original Industrial Revolution. Did Cold Winters Select for Cognitive Ability? Psych 1(1): 166-181. https://doi.org/10.3390/psych1010012   

 

Frost, P. (2019b). Why that stereotype and not the other? Evo and Proud, July 28. https://evoandproud.blogspot.com/2019/07/why-that-stereotype-and-not-other.html

 

Frost, P. (2021). Commentary on Fuerst et al: Do Human Populations Differ in Their Mental Characteristics? Mankind Quarterly 62(2). http://doi.org/10.46469/mq.2021.62.2.9   

 

Fuerst, J., E.O.W. Kirkegaard and D. Piffer. (2021). More research needed: There is a robust causal vs. confounding problem for intelligence-associated polygenic scores in context to admixed American populations. Mankind Quarterly 62(1): 151-185. https://www.researchgate.net/profile/John-Fuerst/publication/354767141_More_Research_Needed_There_is_a_Robust_Causal_vs_Confounding_Problem_for_Intelligence-associated_Polygenic_Scores_in_Context_to_Admixed_American_Populations/links/614bc1dfa595d06017e4c017/More-Research-Needed-There-is-a-Robust-Causal-vs-Confounding-Problem-for-Intelligence-associated-Polygenic-Scores-in-Context-to-Admixed-American-Populations.pdf

 

Lasker, J., B.J. Pesta, J.G.R. Fuerst, and E.O.W. Kirkegaard. (2019). Global Ancestry and Cognitive Ability. Psych 1(1):431-459. https://doi.org/10.3390/psych1010034  

 

Oesterdiekhoff, G.W. (2012). Was pre-modern man a child? The quintessence of the psychometric and developmental approaches. Intelligence 40, 470–478. https://doi.org/10.1016/j.intell.2012.05.005

 

Piffer, D. (2019). Evidence for Recent Polygenic Selection on Educational Attainment and Intelligence Inferred from Gwas Hits: A Replication of Previous Findings Using Recent Data. Psych 1(1):55-75. https://doi.org/10.3390/psych1010005

 

Piffer, D., and R. Lynn. (2022). In Italy, North-South Differences in Student Performance Are Mirrored by Differences in Polygenic Scores for Educational Attainment. Mankind Quarterly 62(4), Article 2. https://doi.org/10.46469/mq.2022.62.4.2   

 

Rindermann, H. (2018). Cognitive Capitalism. Human Capital and the Wellbeing of Nations, 1st ed.; Cambridge University Press.

Differences in the genetic architecture of cognition?

Tableau III, Piet Mondrian (1872-1944). The polygenic score can provide a measure of innate cognitive ability in various human populations. However, it is less valid for African Americans, apparently because of differences in the genetic architecture of cognition.



When IQ is measured in European Americans and African Americans, the two groups differ on average by about 15 points. Is the difference genetic? Or is it due to different environments?

After years of debate, we are coming close to an answer. The weight of evidence is shifting, especially because of two unrelated developments: 

- We can now easily measure ethnic ancestry by means of genetic data. Previously, we had to rely on self-report or indirect measures like skin color.

- We can now measure the genetic component of cognitive ability: the polygenic score. This score is a summation of alleles associated with high educational attainment. Initially a crude measure, it is getting better and better as we identify more and more of these alleles.

Both research tools were used in a recent study. Lasker et al. (2019) applied them to the Philadelphia Neurodevelopmental Cohort, a sample of 9421 individuals from the Philadelphia area who received medical care from the Children's Hospital of Philadelphia network. They ranged in age from 8 to 21 with a mean of 14.2. They were 51.7% female, 55.8% European American, 32.9% African American, and 11.4% other. All of them were genotyped and given a series of cognitive tests.

This dataset had advantages over those of previous studies:

- All participants came from the same geographic area. 

- Heritabilities of cognitive ability were already estimated by another research team, specifically 0.61 for the African American participants and 0.72 for the European American participants.

- Skin, hair, and eye color could be estimated from the genetic data to control for the effects of "colorism" (discrimination favoring lighter-skinned over darker-skinned African Americans)

- Polygenic scores could be calculated from the genetic data

The main disadvantage was the participants’ young age. Before adulthood the brain is plastic and still developing, so the heritability of cognitive ability is lower. 


IQ results

IQ scores were 100 for European Americans, 98 for self-described biracial Americans, and 85 for African Americans. The three groups were respectively 99% European, 80% European, and 19% European.

African Americans only

European admixture significantly correlated with IQ among the African American participants. The correlation remained significant after controlling for either skin color or socioeconomic status. Interestingly, skin and hair color didn't significantly correlate with IQ independently of European admixture, but eye color did. Brown eyes correlated positively with IQ. No explanation was offered by the authors. Did they get the same finding with European Americans?

Biracial Americans only - smarter than expected

As with African Americans, skin color didn't seem to influence intelligence independently of European admixture. On the other hand, "biracial status had a significant effect independently of European ancestry." In other words, racially mixed individuals who identified equally as African American and European American, and not just as African American, tended to be more intelligent than what their degree of European admixture would predict. 

The term "biracial" as a badge of identity is recent and seems to be most popular among middle-class people: 

Interestingly, many of the respondents here who identify as biracial are middle class, educated in private schools, and raised in predominantly white neighborhoods with mostly white social networks (Rockquemore and Brunsma 2008, p. xxii)

It may be, then, that self-identified "biracial" people have parents who are, on average, of higher quality than other people of the same racial background.

African Americans, Biracial Americans, and European Americans combined

When all three groups were combined, the most important factor was European admixture. Next came socioeconomic status, which correlated with cognitive ability independently of European admixture. Finally, self-identification as a European American had an effect over and above that of European admixture. The last factor suggests that European American culture has a positive influence on cognitive ability.


Polygenic score results

The polygenic scores ran into a problem that others have noted: the genetic architecture of cognition seems to be different in African Americans. This is a problem because researchers have used only Europeans or European Americans to identify genetic variants that are associated with high educational attainment. Those variants did correlate with cognitive ability in the African American sample, but to a much lower degree than in the European American sample. Their validity as a measure of cognitive ability was only 20% of what it was in the European American sample.

The authors used a subset of the same variants to create a polygenic score that would be less sensitive to linkage disequilibrium decay and thus more valid across different human populations. This polygenic score had good validity in both the African- and European-American samples (r = 0.112 and r = 0.227 respectively).

The authors then tried to create an even better polygenic score by excluding variants that are rare in African Americans. There was no effect on the results for either African Americans or European Americans. But what about the reverse? Perhaps cognitive ability is improved by some variants that are rare in European Americans but common in African Americans.


Conclusion

This is an excellent study, on a par with the Minnesota Transracial Adoption Study (Frost 2019). The main problem is the participants’ young age. Had adults been used, there would have been less noise in the data, and the results would have been better.

Another problem is the apparently different genetic architecture of cognition in people of sub-Saharan African origin. Piffer (2019) has noted that polygenic scores underestimate African American IQ. He disagrees, however, with the "different genetic architecture" hypothesis, pointing out that no divergence exists between mean population IQ and the polygenic scores he has calculated for various sub-Saharan African groups (Esan, Gambians, Luhya, Mende, Yoruba). None of them, however, are Igbo, and the Igbo are really the one group that stands out from other West Africans on measures of intellectual and educational attainment (Frost 2015a, 2015b). They also contributed to the gene pool of African Americans: "Many of the enslaved Igbo people in the United States were concentrated in Virginia's lower Tidewater region and at some points in the 18th century they constituted over 30% of the enslaved black population" (Wikipedia 2019).

While the polygenic score is a good measure of raw cognitive ability in most humans, we need to develop a modified version for people whose ancestry comes primarily from sub-Saharan Africa.


References

Frost, P. (2015a). The Jews of West Africa? Evo and Proud, July 4
http://evoandproud.blogspot.ca/2015/07/the-jews-of-west-africa.html 

Frost, P. (2015b). No, blacks aren't all alike. Who said they were? Evo and Proud. October 10.
http://evoandproud.blogspot.com/2015/10/no-blacks-arent-all-alike-who-said-they.html 

Frost, P. (2019). IQ of biracial children and adults. Evo and Proud. March 10.
http://evoandproud.blogspot.com/2019/03/iq-of-biracial-children-and-adults.html

Lasker, J., B.J. Pesta, J.G.R. Fuerst, and E.O.W. Kirkegaard. (2019). Global ancestry and cognitive ability. Psych 1(1)
https://www.mdpi.com/2624-8611/1/1/34 

Piffer, D. (2019). Evidence for Recent Polygenic Selection on Educational Attainment and Intelligence Inferred from Gwas Hits: A Replication of Previous Findings Using Recent Data. Psych 1(1): 55-75
https://www.mdpi.com/2624-8611/1/1/5  

Rockquemore, K.A. and D.L. Brunsma. (2008). Beyond Black. Biracial Identity in America. Lanham: Rowman & Littlefield Publishers.
https://books.google.ca/books?id=Nf0eAAAAQBAJ&printsec=frontcover&hl=fr&source=gbs_ge_summary_r&cad=0#v=onepage&q&f=false

Wikipedia. (2019). Igbo Americans. 
https://en.wikipedia.org/wiki/Igbo_Americans