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Population structure of UK Biobank and ancient Eurasians reveals adaptation at genes influencing blood pressure

View ORCID ProfileKevin J. Galinsky, Po-Ru Loh, Mallick Swapan, View ORCID ProfileNick J. Patterson, Alkes L. Price
doi: https://doi.org/10.1101/055855
Kevin J. Galinsky
1Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
2Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
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  • ORCID record for Kevin J. Galinsky
Po-Ru Loh
2Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
3Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
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Mallick Swapan
2Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
4Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
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Nick J. Patterson
2Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
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Alkes L. Price
1Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
2Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
3Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
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Abstract

Analyzing genetic differences between closely related populations can be a powerful way to detect recent adaptation. The very large sample size of the UK Biobank is ideal for detecting selection using population differentiation, and enables an analysis of UK population structure at fine resolution. In analyses of 113,851 UK Biobank samples, population structure in the UK is dominated by 5 principal components (PCs) spanning 6 clusters: Northern Ireland, Scotland, northern England, southern England, and two Welsh clusters. Analyses with ancient Eurasians show that populations in the northern UK have higher levels of Steppe ancestry, and that UK population structure cannot be explained as a simple mixture of Celts and Saxons. A scan for unusual population differentiation along top PCs identified a genome-wide significant signal of selection at the coding variant rs601338 in FUT2 (p = 9.16 × 10−9). In addition, by combining evidence of unusual differentiation within the UK with evidence from ancient Eurasians, we identified new genome-wide significant (p < 5 × 10−8) signals of recent selection at two additional loci: CYP1A2/CSK and F12. We detected strong associations to diastolic blood pressure in the UK Biobank for the variants with new selection signals at CYP1A2/CSK (p = 1.10 × 10−19)) and for variants with ancient Eurasian selection signals in the ATXN2/SH2B3 locus (p = 8.00 × 10−33), implicating recent adaptation related to blood pressure.

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Posted May 27, 2016.
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Population structure of UK Biobank and ancient Eurasians reveals adaptation at genes influencing blood pressure
Kevin J. Galinsky, Po-Ru Loh, Mallick Swapan, Nick J. Patterson, Alkes L. Price
bioRxiv 055855; doi: https://doi.org/10.1101/055855
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Population structure of UK Biobank and ancient Eurasians reveals adaptation at genes influencing blood pressure
Kevin J. Galinsky, Po-Ru Loh, Mallick Swapan, Nick J. Patterson, Alkes L. Price
bioRxiv 055855; doi: https://doi.org/10.1101/055855

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