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Expanded Analysis of Pigmentation Genetics in UK Biobank

View ORCID ProfileErola Pairo-Castineira, Jaime Cornelissen, View ORCID ProfileKonrad Rawlik, View ORCID ProfileOriol Canela-Xandri, View ORCID ProfileStacie K. Loftus, William J. Pavan, View ORCID ProfileKevin M. Brown, Albert Tenesa, View ORCID ProfileIan J. Jackson
doi: https://doi.org/10.1101/2022.01.30.478418
Erola Pairo-Castineira
1MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, EH4 2XU, UK
2Roslin Institute, University of Edinburgh, Easter Bush, EH25 9RG, UK
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Jaime Cornelissen
1MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, EH4 2XU, UK
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Konrad Rawlik
2Roslin Institute, University of Edinburgh, Easter Bush, EH25 9RG, UK
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Oriol Canela-Xandri
1MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, EH4 2XU, UK
2Roslin Institute, University of Edinburgh, Easter Bush, EH25 9RG, UK
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Stacie K. Loftus
3National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892-2152, USA
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William J. Pavan
3National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892-2152, USA
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Kevin M. Brown
4Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
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  • ORCID record for Kevin M. Brown
Albert Tenesa
1MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, EH4 2XU, UK
2Roslin Institute, University of Edinburgh, Easter Bush, EH25 9RG, UK
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Ian J. Jackson
1MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, EH4 2XU, UK
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  • For correspondence: ian.jackson@ed.ac.uk
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Abstract

The genetics of pigmentation is an excellent model for understanding gene interactions in a trait almost entirely unaffected by environment. We have analysed pigmentation phenotypes in UK Biobank using DISSECT, a tool which enables genome-wide association studies (GWAS) whilst accounting for relatedness between individuals, and thus allows a much larger cohort to be studied. We have increased the number of candidate genes associated with red and blonde hair colour, basal skin colour and tanning response to UV radiation. As previously described, we find almost all red hair individuals have two variant MC1R alleles; exome sequence data expands the number of associated coding variants. Rare red-headed individuals with only a single MC1R variant are enriched for an associated eQTL at the ASIP gene. We find that females are most likely to self-report red or blonde hair, paler skin and less tanning ability than men, and that variants at KITLG, MC1R, OCA2 and IRF4 show significant sex differences in effect. After taking sex into account, pigmentation phenotypes are not correlated with sex hormone levels, except for tanning ability, which shows a positive correlation with testosterone in men. Across the UK there is a correlation between place of birth and hair colour; red hair being more common in the north and west, whilst blonde hair is more common in the east. Combining GWAS with transcriptome data to generate a transcriptome wide association study identifies candidate genes whose expression in skin or melanocytes shows association with pigmentation phenotypes. A comparison of candidates associated with different pigmentation phenotypes finds that candidates for blonde hair, but not skin colour, are enriched for skin and hair genes suggesting that it may be hair shape and structure that impacts hair colour, rather than the melanocyte/keratinocyte interaction.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. This article is a US Government work. It is not subject to copyright under 17 USC 105 and is also made available for use under a CC0 license.
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Posted February 02, 2022.
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Expanded Analysis of Pigmentation Genetics in UK Biobank
Erola Pairo-Castineira, Jaime Cornelissen, Konrad Rawlik, Oriol Canela-Xandri, Stacie K. Loftus, William J. Pavan, Kevin M. Brown, Albert Tenesa, Ian J. Jackson
bioRxiv 2022.01.30.478418; doi: https://doi.org/10.1101/2022.01.30.478418
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Expanded Analysis of Pigmentation Genetics in UK Biobank
Erola Pairo-Castineira, Jaime Cornelissen, Konrad Rawlik, Oriol Canela-Xandri, Stacie K. Loftus, William J. Pavan, Kevin M. Brown, Albert Tenesa, Ian J. Jackson
bioRxiv 2022.01.30.478418; doi: https://doi.org/10.1101/2022.01.30.478418

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