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. 2022 Aug 15;13:4484. doi: 10.1038/s41467-022-31999-6

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 6 — Each panel contains regional association statistics (p values) from linear regression analysis for the trait listed in the upper left corner along genomic coordinates. Each dot represents single nucleotide polymorphisms and colours indicate linkage disequilibrium (LD; r²) with the most likely causal variant, rs12600856, prioritised by multi-trait colocalisation at this locus (darker colours stronger LD). The position of rs12600856 in the genome is highlighted by a red line on the lowest panel. Summary statistics for COVID-19-related outcomes were obtained from the COVID-19 HGI¹⁵, for protein abundances from Pietzner et al.³², and white blood cell counts from Astle et al.⁵⁸. LD was calculated based on 8350 unrelated white-British participants of the Fenland cohort.