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THE POLYGENIC RISK SCORE FOR SCHIZOPHRENIA PREDICTS THE MEASURED IQ OF EUROPEAN POPULATIONS AND CONTINENTAL SUPER-POPULATIONS BETTER THAN POLYGENIC SCORES FOR IQ AND EDUCATIONAL ATTAINMENT

Septembrie 29, 2017

I calculated the mean frequencies of 112 SNP that favor schizophrenia in European populations from 1000 GENOMES, and I found these frequencies better predict the measured IQ of populations than POLY_IQ and POLY_EDU:

POP     IQ     POLY_SCZ      POLY_IQ     POLY_EDU

FIN     101         0.2821             0.4890          0.5160

GBR   100         0.2887             0.4903          0.5060

CEU     99         0.2933             0.4866          0.5030

TSI       99          0.2965            0.4798          0.5130

IBS       97          0.2959            0.4838          0.5130

Furthermore, a simple empirical formula could predict the (genotypic) IQ of European populations in 1000 GENOMES:

IQ_POP = POLY_SCZ_GBR : POLY_SCZ_POP x 100

Here are the results: FIN=102.34, GBR=100, CEU=98.43, TSI=97.37, IBS=97.57

Although, a very recent study (Alloza, 2017) found a correlation of 0.508 between intelligence and POLY_SCZ at individual level. At population level, the correlation seems be even higher.

 

Also, POLY_SCZ on 122 SNP predicts the measured IQ of super-populations better than other polygenic scores:

POP     IQ      POLY_SCZ     POLY_IQ     POLY_EDU

AFR     69         0.3040              0.4450          0.4804

SAS      82         0.2926              0.4797          0.5038

AMR    85         0.2915              0.4673          0.4890

EUR     99         0.2886              0.4868          0.5102

EAS    104         0.2776              0.4755          0.5234

 

I calculated POLY_SCZ using Ripke (2014), and POLY_IQ using 120 lead SNP found by Davies (2017). POLY_EDU was calculated by Piffer (2016) using 161 SNP found by Okbay (2016).

 

REFERENCES

Alloza, C. et al (2017) Central and non-central networks, cognition, clinical symptoms, and polygenic risk scores in schizophrenia. Human Brain Mapping doi: 10.1002/hbm.23798.

Davies, G. et al (2017) Ninety-nine independent genetic loci influencing general cognitive function include genes
associated with brain health and structure (N = 280,360). bioRxiv doi: http://dx.doi.org/10.1101/176511

Ohi, K. et al (2017) Variability of 128 schizophrenia-associated gene variants
across distinct ethnic populations. Transl Psychiatry 7, e988; doi:10.1038/tp.2016.260

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

Ripke, S. et al (2014) Biological Insights From 108 Schizophrenia-Associated Genetic Loci. Nature 511(7510): 421-427 doi:  10.1038/nature13595

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