Data from: Reduced signal for polygenic adaptation of height in UK Biobank

Several recent papers have reported strong signals of selection on European polygenic height scores. These analyses used height effect estimates from the GIANT consortium and replication studies. Here, we describe a new analysis based on the the UK Biobank (UKB), a large, independent dataset. We find that the signals of selection using UKB effect estimates are strongly attenuated or absent. We also provide evidence that previous analyses were confounded by population stratification. Therefore, the conclusion of strong polygenic adaptation now lacks support. Moreover, these discrepancies highlight (1) that methods for correcting for population stratification in GWAS may not always be sufficient for polygenic trait analyses, and (2) that claims of differences in polygenic scores between populations should be treated with caution until these issues are better understood.UKBB_noPCsA GWAS for human height in the UK Biobank. Linear regression without any structure correction---with only genotype, age, sex and sequencing array as covariates (unrelated British ancestry individuals only). See the paper for the plink command and more details.UKBB_sib_gwasA GWAS for human height in the UK Biobank sibs. Family-based sib-pair analysis. See the paper for the plink command and more details.IRL-GBR allele frequency differencesLogistic regression using self-identified as "White British" or "White Irish" in the UK Biobank were compared with distinct phenotype labels. See paper for plink command line and more details.BvI.nocovar.Irish.glm.logistic.gzGBR-TSI allele frequency differencesIndividuals from the GBR and TSI populations from 1000G Phase 3 were assigned binary phenotype labels and a chi square test was performed for allele frequency differences. See paper for the plink command line and more details.gwas.hwe1e6.geno05.nocovar.chisq.British.assoc.gzUK Biobank Acknowledgemen