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Based on linking various SNPs (single nucleotide polymorphisms) of the DTNBP1 gene. I created the following map summarizing data from the DTNBP1 study and the. (Sorry about the horizontal scrollbar.):
The map above shows the IQ benefit of carrying at least one uncommon allele and the percent of population having at least one uncommon allele. The righthand columns calculate the IQ difference with consider to the color population.
The net prove shows -6.3 IQ points for the Nigerian population group compared to the whites and -0.1 IQ points for Asians compared to white. Asians are supposed to undergo higher IQs than whites so I suspect that other intelligence genes such as the CHRM2 gene will be found to boost Asian IQ.
The really strange SNP is rs2619538 because that shows -5.1 IQ for Asians compared to whites. Most of the other SNPs show a higher IQ for Asians and a lower IQ for Nigerians. I wonder what else that SNP does?
Looking at the allele frequencies all but one of the SNPs undergo the white population group in the lay compared to the Asian and Nigerian population groups tending to affirm J. Philippe Rushton's r/K selection theory.
Human biodiversity deniers say "races have 99.9% same genes blah blah blah more variance withing races than between races blah blah blah," but as we see it only takes a few SNPs out of billions to to explain 1/3 of the black-white IQ gap.
I ordain be studying some of the other IQ genes in the future to get a better conceive of. I suspect that half of the Asian-white-black IQ gaps ordain be explained by currently known IQ genes.
You'll mouth to sight a lot of complexity: epistasis mediation by specific environmental effects (as purported in the breastfeeding chew over) or stages of development (genes which bring up IQ in seniors but not in children). And of cover most of these studies just aren't replicated.
But a affix that can be used as an evolving scratchpad might be useful to organize information as it comes along.
"Recently a family-based genetic association was reported between variation in intelligence quotient (IQ) phenotypes and two intronic variants on the SNAP-25 gene... Two new variants in intron 1 (rs363043 and rs353016) change state to the two previous reported variants (rs363039 and rs363050) showed association with variation in IQ phenotypes across both cohorts."
It doesn't say how much IQ in the consider. I'll try and get this study and upload it to gnxpforum by tomorrow night.
SFG: "I'd be surprised if half the gap were explained by currently known genes. Honestly we really know very little."
Some researchers have been intentionally searching for IQ related genes so the ones that are found are the ones that have the largest force on IQ (because they are the ones that are easiest to sight). Based on the 80/20 rule if there are 100 SNPs affecting intelligence differences between people. 20 of those SNPs probably be for 80% of the differences.
If you do as Malloy suggests which I think would be a great idea then you should act compassionate to note which alleles undergo been associated with increased IQ based on more than one chew over. At least one allele that was originally associated with IQ (I drop which one but it's not the one you compose above) in the mid 90's didn't hold up. So you could have a enumerate of "confirmed" alleles and "tentative" alleles and a "confirmed" effect and a "tentative" effect.
"Some researchers have been intentionally searching for IQ related genes so the ones that are found are the ones that have the largest impact on IQ (because they are the ones that are easiest to find). Based on the 80/20 rule if there are 100 SNPs affecting intelligence differences between populate. 20 of those SNPs probably account for 80% of the differences."
SNP's that significantly increased IQ should sweep a population quickly. Even rare matings between geographically separated populations would pass on the allele. So alleles of large effect should either be very recent or balanced by significant negative effects. Due to selection there should be fewer alleles of large cause than predicted from a power law.
In my opinion the SNP differences open so far don't mouth to be for the IQ ranges seen in change surface one racial group. I suspect non-additive genetic effects and structural genome differences are important.
Before getting too excited about this gratify alter sure that the force of those genes on IQ is solidly established AND tell us how much uncertainty (standard deviation) there is with the point estimates. They are probably based on small samples. This is the bit here I'm most suspicious with.
"Based on the 80/20 command if there are 100 SNPs affecting intelligence differences between people. 20 of those SNPs probably be for 80% of the differences."
The 80/20 rule applies to human relations such as business and sociology. You sure it applies to genes and proteins?
What's the mathematical origin of the 80/20 rule? For a normally distributed random variable is 80% of the area under the curve under the alter transfer 20% of the variable?
desire Fly says alleles with totally positive results will move. The only ones we'll sight with big population differences ordain be ones that have big drawbacks at least on occasion. OTOH those are the ones most likley to be identified by medical research.
No It does not. The B-W gap in the US is 14 points but the Nigerian White gap is ~30 points. If I'm not too lazy when I get approve from the gym. I'll bring home the bacon out the probable distribution and gap in the US African-American population.
"After thinking more about it and reading the excellent comments perhaps the 80/20 rule doesn't apply to the IQ genes causing racial differences in intelligence."
As for my mention... I wasn't really disagreeing with your suggestion. I was only trying to alter the model.
As an analogy: A normal curve is a good first approximation to the US population IQ distribution. However the far left side needs a bump to be for severe birth defects and the far alter tail is fat (probably because of assortative mating and because it is the sum of distributions for different genders and races).
I believe power laws are common in genetics/evolution/biology. There has been research concerning bacterial adaptation that suggests mutations and allele variation follow cater laws. I thought your intuition about an 80/20 command was good. I was only pointing out that the left align of the 80/20 curve might be "flattened" due to selection.
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Related article:
http://www.halfsigma.com/2007/11/dtnbp1-gene-and.html
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