Researchers Find Dozens of Genes Associated With Measures of Intelligence (arstechnica.com)
An anonymous reader quotes a report from Ars Technica: We don't know a lot about the biological basis of our mental abilities -- we can't even consistently agree on how best to test them -- but a few things seem clear. One is that performance on a number of standardized tests that purport to measure intelligence tends to correlate with outcomes we'd associate with intelligence, like educational achievement. A second is that this performance seems to have a large genetic component. But initial studies clearly indicated that the effect of any individual gene on intelligence is small. As a result, the first genetics studies found very little, since you needed to look at a large number of people in order to see these small effects. Now, a new study has combined much of the previous work and has turned up 40 new genetic regions associated with intelligence test scores. But again, the effect of any individual gene is pretty minor. The team behind the new work took advantage of open data to pull together information from 13 different studies, which cumulatively looked through the genomes of over 78,000 individuals. While those individuals had been given a variety of tests, the authors focused on measures of general intelligence or fluid intelligence (the two seem to measure similar things). The genomes of these individuals had been scanned for single base pair differences, allowing the authors to look for correlations between regions of the genome and test scores. Two separate analyses were done. The first simply looked at each base difference individually. That turned up 336 individual bases, which clustered into 22 different genes. Half of these had not been associated with intelligence previously. To provide a separate validation of these results, the authors did a similar analysis with educational achievement. They found that nearly all of the sites they identified also correlated with that. In a second analysis, the authors tracked base differences that cluster in a single gene. Since there are more markers for each gene, this tends to be a more sensitive way of looking for effects. And in fact, it produced 47 genes associated with the intelligence test scores. Seventeen of those had been identified in the earlier analysis, which brought the total genes identified to 52, only 12 of which had been previously associated with intelligence test scores.
You're not allowed to talk about the possibility of there being a genetic basis for variations in intelligence. Because some genes are more common in certain ethnic groups than others, and then all hell will break loose and you'll get Bellcurved.
This is a textbook example of p-hacking. Note the plural in "measures of intelligence", along with "educational achievement" as dependent variables. Something was gonna show a correlation, to the vaunted oh point oh five. What a crock.
882. We don't even need the links for these anymore, just the number.
These results are from using SNP chips. To make a SNP chip, a sample of individuals from a population (in this case, humans of European descent) are sequenced, then the sequences are compared to find SNPs (single nucleotide polymorphism: i.e. a place where some individuals have one DNA base and others have a different one.) Then some hundreds of thousands of those SNPs are selected (we want something like an even spread of SNPs over the genome, and we want to chose SNPs which have a fairly high degree of polymorphism - we'd rather something which was 50:50 rather than 99:1.) A SNP chip is designed which when exposed to DNA from an individual will say yes/no for each SNP. (Scanning the paper, I see two of the SNP chips they used were UK BiLEVE Axiom array and the UK Biobank Axiom array which have over 820,000 SNPs each.)
This has several consequences. One is that the SNP chip is of limited use for populations other than the one for which it was designed. Another is that seldom is the SNP on the chip directly related to the feature/quality (intelligence in this case) that we are trying to correlate with. Rather, the SNP which correlates positively with IQ is probably just nearby the genetic difference which matters. Because they are close, recombination (shuffling of the two genome copies you have, which happens in the production of gametes) is unlikely to separate them. Because they will occasionally get separated, the correlation of IQ with the SNP is going to be a little less strong than the correlation of IQ with the actual variant gene (allele). A SNP chip is less informative than a full genome sequence, but is much cheaper, and much easier to analyse.
A final point is that genome wide association studies like this have in the past been plagued with false positives. When there are so many variables being tested (hundreds of thousands of SNPs on the SNP chip) some will strongly associate with your measured quality (IQ) by chance. This is even more so if you use sophisticated analyses which look for combinations of SNPs as predictors. I will provisionally accept that they've accounted for this correctly, as I lack the expertise to judge for myself.
I work in a tangentially associated field (phylogenetics) so my knowledge has some professional basis, but is well short of that of an expert in the field.
Quattuor res in hoc mundo sanctae sunt: libri, liberi, libertas et liberalitas.
ALL the genes put together had a total of 5% impact on Intelligence. That means an IQ of 105 vs 100. That is a minor effect.
Worst of all, minor effects like this, are typical of false positives. That is, most scientific tests use a significance threshold of no more than 4%, which is one in 25. That means if you test 25 different random alcoholic drinks, one of them, by random chance, will be shown to cause a minor increase in intelligence. This would be a false positive.)
And they did over 300 tests. So if they are using a 4% significance, that would be 4*3= 12 false positives.
This article looks like the worst kind of fake science news. You know, the kind that a President would quote (Pick Trump/Obama, whichever your personal bias thinks would do that).
excitingthingstodo.blogspot.com
Apparently iodine is the reason people today are marginally more intelligent than the were before.
http://blogs.discovermagazine....
That doesn't mean that genetics doesn't make a difference.
This "theory of multiple intelligences" is a quite popular narrative, but it's not empirically supported by studies. Rather, it seems that there is one "g factor", or general cognitive ability, that tends to explain quite well the "different kinds of intelligence". That is, any IQ test seems to be a good predictor of performance in any other IQ test, whether testing logical-mathematical, linguistic, spatial or some other "kind" of intelligence.