Genome-wide Genetic Analysis of Cardiometabolic Traits

For Observational study, all these statistical analyses were conducted in R version 4.0.3 and STATA 14.1 software. A Bonferroni-corrected threshold of p < 0.05 was considered statistically significant.
The GWAS analysis of BMI, WCadjBMI and HCadjBMI was performed using PLINK software (http://www.coggenomics.org/plink2), and we used the option --clump-r2 and --clump -kb to obtain the independent locus.
The wGRS method was performed using PLINK software (http://www.coggenomics.org/plink2) with the command of --score sum to obtain the sum of valid per-allele scores (Chang et al., 2015 (link)). The asterisks indicate significant differences between groups (∗ = p < 0.05; ∗∗ = p < 0.01). The different letters above each of plots indicate significant differences according to Chi-Square test. The Chi square test for quartile groups was conducted in STATA 14.1 software.
For Two-sample MR, all statistical analyses were performed with R 4.0.3. The IVW, simple mode, weighted mode, weighted-median, and MR-Egger methods were performed using the “MendelianRandomization” package (Yavorska and Burgess, 2017 (link)). The MR-PRESSO approach was performed using the “MR-PRESSO” package (Verbanck et al., 2018 (link)). The two-sided p value of less than 0.05 was considered statistically significant.