Table 2 Trait-associated variants with Bonferroni-corrected significant evidence of being under polygenic adaptation in the Lazaridis et al. (2014) dataset, using the Embedded Image statistic: Embedded Image where n is the number of GWAS tested, assuming a Embedded Image distribution
GraphTraitPEmbedded ImageEmbedded Image
Seven-leaf graph (w/EuropeA)Height**Embedded ImageEmbedded ImageEmbedded Image
Photic sneeze reflex**0.00087Embedded Image0.006
Educational attainment**Embedded Image0.0010.001
UnibrowEmbedded Image0.173Embedded Image
Seven-leaf graph (w/EuropeB)Height**Embedded ImageEmbedded ImageEmbedded Image
Educational attainment**Embedded ImageEmbedded Image0.001
Age at voice drop**0.000953Embedded Image0.001
Photic sneeze reflex**0.00086Embedded Image0.001
UnibrowEmbedded Image0.166Embedded Image
Seven-leaf graph (w/EuropeC)Educational attainment**Embedded ImageEmbedded ImageEmbedded Image
Photic sneeze reflex0.0006530.0040.004
UnibrowEmbedded Image0.199Embedded Image
  • We tested three different graphs with different sets of European panels, containing either low (EuropeA), medium (EuropeB), or high (EuropeC) EEF ancestry. We also computed P-values from 1000 samples in which we randomly switched the sign of effect size estimates, to simulate neutrality while preserving the genetic architecture of the traits (Embedded Image). Additionally, we computed P-values from an empirical null distribution produced using 1000 samples, each containing SNPs that were frequency-matched to the trait-associated SNPs, using their allele frequency in Europeans, to account for each GWAS’s ascertainment scheme (Embedded Image).

  • ** Trait-associated variants for which Embedded Image

  • * Trait-associated variants for which Embedded Image.