期刊
ELIFE
卷 8, 期 -, 页码 -出版社
eLIFE SCIENCES PUBL LTD
DOI: 10.7554/eLife.39725
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资金
- National Institutes of Health [R01 GM115889, F32 GM126787, R01 GM121372, R01 HG008140, R01 GM108779]
- Stanford Center for Computational, Evolutionary and Human Genomics Fellowship
- U.S. Department of Defense
- Stanford University
- U.S. Department of Defense National Defense Science and Engineering Grant
- Villum Fonden
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.
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