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. 2023 Jul 21;9:75. doi: 10.1038/s41421-023-00582-8

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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 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. 2 — a The geographical distribution of STROMICS samples in China. b The number and allele frequency spectrum of STROMICS variants (SNVs and indels). Novel and known variants are defined by dbSNP (Materials and methods). AC, allele count. c Length and number distribution of STROMICS variants. The purple line shows the proportion of novel variants. d The total number of variants observed in each functional class of genome. e Relationship between alternative allele count and the number of variants among different functional categories. The function categorization of the genetic variants (All, LoF, splicing, Moderate, Low, ncRNA) was shown in Supplementary Table S8. f Venn diagram showing the concordance of genetic variants among STROMICS, gnomAD, ChinaMAP, NyuWa Genome resource, and WBBC.