Skip to content

QUANTIFYING THE DIFFERENCES OF GENOTYPIC INTELLIGENCE AND GENOTYPIC EDUCATION BETWEEN (SUPER)POPULATIONS IN 1000 GENOMES: TWO SIMPLE EMPIRICAL FORMULAS BASED ON THE NEW RESULTS OF DAVID HILL

Iulie 1, 2017

Polygenic scores on intelligence do not reflect differences on genotypic intelligence between populations and superpopulations (Piffer, 2017; Sniekers, 2017). Polygenic scores on educational attainment (Piffer, 2016; Okbay, 2016) work slightly better, but British and Utah Whites have the same scores as South Asians, for example.

Based on the last revised study of David Hill (5 june 2017), that found MAF 0.001-0.01 account for 45% of genotypic IQ (G) and for 33% of genotypic EDU (E), I created two scores of populations and superpopulations of 1000 GENOMES for G and E:

G_POP = (POLY_IQ_POP : POLY_IQ_GBR x (1 + gdGBR) x 55% + MAF0.000-0.005_GBR : MAF0.000-0.005_POP x 45%) x IQ_GBR

E_POP = (POLY_EDU_POP : POLY_EDU_GBR x (1+ gdGBR) x 67% + MAF0.000-0.005_GBR : MAF0.000-0.005_POP x 33%) x IQ_GBR

I used MAF 0.000-0.005 (1000 GENOMES, 2015 – Extended Data, Figure 3b) as a proxy for MAF 0.001-0.01.

gdGBR is the genetic distance on SNP from British: 0 for Europeans, 0.060 for South Asians, 0.112 for East Asians and 0.176 for Africans. I used these genetic distances because not all SNP of found by GWAS on Europeans are IQ-increasing and EDU-increasing variants in other populations. Also, the other populations have IQ-increasing and EDU-increasing SNP that are neutral for Europeans. Higher is the genetic distance of a population, higher is this number of SNP that are not captured by POLY-IQ and POLY-EDU of Europeans.

These scores work much better than POLY-IQ and POLY-EDU, excepting populations that have Native American admixture. The explanation is simple. MAF 0.00-0.005 (1000 GENOMES, 2015) arose during the severe bottleneck (23,000-16,000 years ago) and the fast grow (since 16,000 years ago) of Amerindian populations. In Native Americans, many SNP that arose during this period reached high frequencies, hence they have higher than 0.005 frequency even in 1000 GENOMES total samples, and are not captured by my two formulas.

I used POLY-EDU and POLY-IQ found by Piffer (2016, 2017) using the results of GWAS of Okbay (2016) and Sniekers (2017), 161 SNP and 15 SNP respectively.

Here are the results for G, E, and measured IQ of populations and superpopulations. The correlations between G, E and measured IQ are much higher than for POLY-IQ and POLY-EDU:

 

 

POP        G           E         IQ

 

CHB – 105.27 – 104.56 – 105

CHS  – 104.98 – 105.17 – 105

JPT  –  104.42 – 103.29 – 105

KHV – 100.74 – 102.05 –  99

CDX – 100.26 – 102.24

EAS  – 103.06 – 103.42 – 103.50

 

FIN – 101.37 – 102.62 – 101

GBR   –  100 – 100 – 100

CEU  – 97.94 – 97.29 – 99

IBS   –  95.44 – 98.61 – 97

TSI   –  94.54 – 97.57 – 99

EUR  – 97.72 – 99.13 – 99.2

 

GIH – 91.72 – 94.98

PJL  – 86.91 – 93.89 – 84

STU – 85.05 – 91.91 – 79

BEB  – 84.59 – 93.02 – 81

ITU  – 83.74 – 92.60

SAS – 86.34 – 93.25 – 81.33

 

ASW – 81.98 – 87.53 – 85

ACB  – 81.64 – 86.95 – 83

YRI   – 81.27 – 86.71 – 71

ESN   – 80.70 – 86.02 – 71

MSL  – 80.51 – 82.91 – 64

GWD – 80.37 – 86.23 – 62

LWK  – 75.70 – 83.25 – 74

AFR   – 80.08 – 85.52 – 68.5

 

REFERENCES

1000 GENOMES (2015) https://www.nature.com/nature/journal/v526/n7571/full/nature15393.html

Hill, D.W. et al. (2017) Genomic analysis of family data reveals additional genetic effects on intelligence and personality. bioRxiv http://dx.doi.org/10.1101/106203

Okbay, A. et al. (2016). Genome-wide association study identifies 74 loci associated with educational attainment. Nature 533: 539-542.

Piffer, D. (2016). Polygenic selection on educational attainment: a replication. https://figshare.com/article/Polygenic_selection_on_educational_attainment_a_replication/3381439

Piffer, D. (2017)  2017 Intelligence GWAS: Group-level polygenic scores http://rpubs.com/Daxide/279148

Sniekers, S. et al (2017) Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence. Nature Genetics doi:10.1038/ng.3869

Anunțuri

From → Uncategorized

Lasă un comentariu

Lasă un răspuns

Completează mai jos detaliile tale sau dă clic pe un icon pentru a te autentifica:

Logo WordPress.com

Comentezi folosind contul tău WordPress.com. Dezautentificare / Schimbă )

Poză Twitter

Comentezi folosind contul tău Twitter. Dezautentificare / Schimbă )

Fotografie Facebook

Comentezi folosind contul tău Facebook. Dezautentificare / Schimbă )

Fotografie Google+

Comentezi folosind contul tău Google+. Dezautentificare / Schimbă )

Conectare la %s

%d blogeri au apreciat asta: