PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
Polygenic Selection, Polygenic Scores, Spatial Autocorrelation and Correlated Allele Frequencies. Can We Model Polygenic Selection on Intellectual Abilities?
Version 1
: Received: 26 January 2017 / Approved: 27 January 2017 / Online: 27 January 2017 (03:55:50 CET)
Version 2
: Received: 28 January 2017 / Approved: 29 January 2017 / Online: 29 January 2017 (07:55:37 CET)
Version 3
: Received: 23 May 2017 / Approved: 23 May 2017 / Online: 23 May 2017 (17:08:33 CEST)
How to cite:
Piffer, D. Polygenic Selection, Polygenic Scores, Spatial Autocorrelation and Correlated Allele Frequencies. Can We Model Polygenic Selection on Intellectual Abilities?. Preprints2017, 2017010127. https://doi.org/10.20944/preprints201701.0127.v1
Piffer, D. Polygenic Selection, Polygenic Scores, Spatial Autocorrelation and Correlated Allele Frequencies. Can We Model Polygenic Selection on Intellectual Abilities?. Preprints 2017, 2017010127. https://doi.org/10.20944/preprints201701.0127.v1
Piffer, D. Polygenic Selection, Polygenic Scores, Spatial Autocorrelation and Correlated Allele Frequencies. Can We Model Polygenic Selection on Intellectual Abilities?. Preprints2017, 2017010127. https://doi.org/10.20944/preprints201701.0127.v1
APA Style
Piffer, D. (2017). <b></b>Polygenic Selection, Polygenic Scores, Spatial Autocorrelation and Correlated Allele Frequencies. Can We Model Polygenic Selection on Intellectual Abilities?. Preprints. https://doi.org/10.20944/preprints201701.0127.v1
Chicago/Turabian Style
Piffer, D. 2017 "<b></b>Polygenic Selection, Polygenic Scores, Spatial Autocorrelation and Correlated Allele Frequencies. Can We Model Polygenic Selection on Intellectual Abilities?" Preprints. https://doi.org/10.20944/preprints201701.0127.v1
Abstract
The majority of polygenic selection signal of educational attainment GWAS hits is confined to a handful of SNPs within genomic regions replicated across GWAS publications. A polygenic score comprising 9 SNPs predicts population IQ (r=0.9), outperforming 99.9% of the polygenic scores obtained from sets of random SNPs. Its predictive power remains unaffected after controlling for spatial autocorrelation. Even random polygenic scores are moderate predictors of population IQ, and their predictive power increases logarithmically with the number of SNPs, indicating an exponential reduction in noise.Thus, the predictive power of polygenic scores has to be scaled in proportion to the number of SNPs composing them.
Keywords
GWAS; educational attainment; polygenic selection
Subject
Biology and Life Sciences, Biochemistry and Molecular Biology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
