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. 2023 Aug 7;20:31. doi: 10.1186/s12014-023-09421-0

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© The Author(s) 2023

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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 1 — a Distribution of the number of pQTLs per protein. We observe a range of 1–2 pQTLs per protein for 23 proteins and 19 + pQTLs for each of two proteins. b Minor allele frequency (MAF) versus absolute value of effect size. As the MAF increases, size of the effect tends to increase. c. Distance from variant to transcription start site of protein (TSS) versus negative log P. Variants plotted here include all SNPs on the same chromosome as the coding region of the protein. The most statistically significant pQTLs are closest to the TSS. d pQTL position versus location of protein coding gene