A General Dimension Of Fenetic Sharing Across Diverse Cognitive Traits Inferred From Molecular Data
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Genetic g factor accounts for 58.36% of genetic variance across seven cognitive traits, highlighting its significant role in cognitive performance.
Javier de la Fuente, Gail Davies, Andrew Grotzinger, Elliot Tucker-Drob and Ian Deary, "A General Dimension Of Fenetic Sharing Across Diverse Cognitive Traits Inferred From Molecular Data,"Nature Human Behaviour, September 7, 2020, https://www.nature.com/articles/s41562-020-00936-2
Wow, newNaturestudy finds that the genetic g factor model closely approximated the genetic covariance structure among cognitive tests. Paper says the genetic g factor accounted for 58.36% (SE = 4.84%) of the genetic variance in the seven cognitive traits.
“…The importance of our results may be seen by contrasting the results of trails-B with RT. Analyses of multivariate genome-wide architecture indicated that, for trails-B, 95% of the genetic variance is accounted for by genetic g and only 5% is specific to trails-B. Moreover, all seven loci for trails-B have previously been reported in GWAS of other cognitive phenotypes…. and four of these were implicated as relevant for genetic g at non-significant levels of heterogeneity. In contrast, for RT, analyses of multivariate genome-wide architecture indicated that 9.5% of the genetic variance is accounted for by genetic g while 90.5% of the genetic variance is specific to RT.Many of the 39 loci associated with RT have not been found in univariate GWAS of other cognitive traits…and only four were implicated as relevant for genetic g at non-significant levels of heterogeneity. Therefore, when identifying loci associated with performance on an individual cognitive test, it is essential to know the extent to which its associations are broadly related to genetic g or specifically related to the phenotype under investigation…”
Here they discuss RT (Reaction Time) that you flagged, relative low g variance versus it’s high specific variance
“…Psychometrically, a hierarchical structure of cognitive abilities is commonly agreed, with cognitive tests’ variance accounted for by three different strata of variation (Supplementary Fig. 1), representing (1) each test’s specific variance (s), (2) broad domains of cognitive function (for example, reasoning, processing speed, memory) and (3) g (ref. 5 ). All cognitive tests have some g loading, though this varies from test to test….”
And some of the variance is“…thought to bespecific to that test (its s)…”or the test specific factor.










Ed Comment:but it’s not clear they are actually measuring genes and not traits. I also don’t understand the first diagram below. Its seems to say all traits, except RT (what is RT?) are highly genetic and that only RT lowers the correlation to 58%. I don’t understand the difference between the top and bottom chart but I don’t see how you can ‘average” 58 form the bottom. Scary to rely on something that we don’t understand.
“….It has been known since 1904 that, in humans, diverse cognitive traits are positively intercorrelated. This forms the basis for the general factor of intelligence (g). Here, we directly test whether there is a partial genetic basis for individual differences in g using data from seven different cognitive tests (n = 11,263-331,679) and genome-wide autosomal single-nucleotide polymorphisms. A genetic g factor accounts for an average of 58.4% (s.e. = 4.8%) of the genetic variance in the cognitive traits considered, with the proportion varying widely across traits (range, 9-95%).We distil genetic loci that are broadly relevant for many cognitive traits (g) from loci associated specifically with individual cognitive traits. These results contribute to elucidating the aetiology of a long-known yet poorly understood phenomenon, revealing a fundamental dimension of genetic sharing across diverse cognitive traits….”

Charles Murray Comment: the study suggests the majority of variance in cognitive traits is driven by g. He did add the inverse is possible “Or the other way around: variance in cognitive traits contributes to a general factor.”
“…The importance of our results may be seen by contrasting the results of trails-B with RT. Analyses of multivariate genome-wide architecture indicated that, for trails-B, 95% of the genetic variance is accounted for by genetic g and only 5% is specific to trails-B. Moreover, all seven loci for trails-B have previously been reported in GWAS of other cognitive phenotypes…. and four of these were implicated as relevant for genetic g at non-significant levels of heterogeneity. In contrast, for RT, analyses of multivariate genome-wide architecture indicated that 9.5% of the genetic variance is accounted for by genetic g while 90.5% of the genetic variance is specific to RT.Many of the 39 loci associated with RT have not been found in univariate GWAS of other cognitive traits…and only four were implicated as relevant for genetic g at non-significant levels of heterogeneity. Therefore, when identifying loci associated with performance on an individual cognitive test, it is essential to know the extent to which its associations are broadly related to genetic g or specifically related to the phenotype under investigation…”
Here they discuss RT (Reaction Time) that you flagged, relative low g variance versus it’s high specific variance
“…Psychometrically, a hierarchical structure of cognitive abilities is commonly agreed, with cognitive tests’ variance accounted for by three different strata of variation (Supplementary Fig. 1), representing (1) each test’s specific variance (s), (2) broad domains of cognitive function (for example, reasoning, processing speed, memory) and (3) g (ref. 5 ). All cognitive tests have some g loading, though this varies from test to test….”
And some of the variance is“…thought to bespecific to that test (its s)…”or the test specific factor.
Steve Comment: From my read of the paper the distinction is as follows“…somevariance in each cognitive test was thought to be shared with all other cognitive tests (g)…”So that’s g or general intelligence, that’s the common factor.
Ed Comment:What are g and s? what is common vs specific?
His chart is derived from this table which (I think) is showing that for some cognitive traits the genetic variance is primarily g driven while for others is s driven. Let me see if I can track down some reactions to the research from people in the field that might help me understand what it says it found.
Steve Comment: RT is “reaction time” so motor speed, “…Data for the present study came from the UK Biobank (UKB), a biomedical cohort study that collects a wide range of genetic and health-related measures from a population-based sample of community-dwelling participants in the United Kingdom. Participants were measured on up to seven cognitive traits using tests that often show substantial concurrent validity with established psychometric tests of cognitive abilities, and modest to good test-retest reliability26:reaction time (RT, n=330,024, which assesses perceptual motor speed);matrix pattern recognition (n=11,356, non-verbal reasoning);verbal numerical reasoning (VNR, n=171,304,verbal and numeric problem solving; the test is called ‘fluid intelligence’ in UKB);symbol digit substitution (n=87,741, information processing speed);memory pairs-matching test (n=331,679, episodic memory);tower rearranging (n=11,263, executive functioning);andtrail-making test-B (trails-B, n=78,547, executive functioning).Scores on all tests were coded such that higher scores represented more optimal (that is, faster or more accurate) performance….”
Charles Murray Comment: the study suggests the majority of variance in cognitive traits is driven by g. He did add the inverse is possible “Or the other way around: variance in cognitive traits contributes to a general factor.”
Steve Comment: From my read of the paper the distinction is as follows“…somevariance in each cognitive test was thought to be shared with all other cognitive tests (g)…”So that’s g or general intelligence, that’s the common factor.
Ed Comment:What are g and s? what is common vs specific?
His chart is derived from this table which (I think) is showing that for some cognitive traits the genetic variance is primarily g driven while for others is s driven. Let me see if I can track down some reactions to the research from people in the field that might help me understand what it says it found.
Steve Comment: RT is “reaction time” so motor speed, “…Data for the present study came from the UK Biobank (UKB), a biomedical cohort study that collects a wide range of genetic and health-related measures from a population-based sample of community-dwelling participants in the United Kingdom. Participants were measured on up to seven cognitive traits using tests that often show substantial concurrent validity with established psychometric tests of cognitive abilities, and modest to good test-retest reliability26:reaction time (RT, n=330,024, which assesses perceptual motor speed);matrix pattern recognition (n=11,356, non-verbal reasoning);verbal numerical reasoning (VNR, n=171,304,verbal and numeric problem solving; the test is called ‘fluid intelligence’ in UKB);symbol digit substitution (n=87,741, information processing speed);memory pairs-matching test (n=331,679, episodic memory);tower rearranging (n=11,263, executive functioning);andtrail-making test-B (trails-B, n=78,547, executive functioning).Scores on all tests were coded such that higher scores represented more optimal (that is, faster or more accurate) performance….”