Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2021 May 27;53(1):43–50. doi: 10.1007/s11239-021-02494-4

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s) 2021

Open AccessThis 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/.

PMC Copyright notice

Fig. 2 — Association of genetically predicted eGFR with venous thromboembolism using 308 SNPs for eGFR. CI confidence interval, eGFR estimated glomerular filtration rate, IVW inverse-variance weighted, OR odds ratio, SNPs single-nucleotide polymorphisms. There were 10,023 venous thromboembolism cases and 486,809 non-cases in the meta-analysis of IVW-random effects model. Significant heterogeneity was detected among estimates from used SNPs in analyses based on data from both the FinnGen consortium (I² = 19; Rucker’s Q = 377; p_het = 0.004) and UK Biobank study (I² = 25; Rucker’s Q = 389; p_het < 0.001). There was no horizontal pleiotropy in MR-Egger regression using data from FinnGen consortium and UK Biobank study (p > 0.300). One and four outliers were detected in MR-PRESSO analyses using data from FinnGen consortium and UK Biobank study, respectively. However, p values for distortion tests were > 0.05, indicating no significant difference between estimates before and after outlier removing