Genetic variation associated with COVID-19 is also associated with endometrial cancerDear editor, In this journal, Cai and colleagues described that uterine corpus endometrial carcinoma, esophageal carcinoma, kidney renal papillary cell carcinoma, lung adenocarcinoma, kidney chromophobe, and prostate adenocarcinoma were at the high risk of COVID-19 infection. 1 Recently, in this journal, Qiu and colleagues reported that the high expression of SARS-CoV-2 cell receptors might lead to higher COVID-19 infection rates in cancer patients. 2 However, it is still unclear whether COVID-19 infection is a risk factor for endometrial cancer.Mendelian randomization (MR) study, based on the principle that genetic variants are randomly allocated at meiosis, is independent of many factors that bias observational studies. 3 , 4 MR study has been widely used to assess the causal link between an exposure and an outcome. [3][4][5][6][7] To assess the effect of COVID-19 on endometrial cancer, we performed the present two-sample MR study as followed.First, we extracted genetic instrumental variants (IVs) from COVID-19 GWAS. To date, the largest COVID-19 GWAS was reported by the COVID-19 Host Genetics Initiative in 2020. 8 Primarily, this GWAS is to elucidate the role of host genetic factors in susceptibility and severity of the SARS-CoV-2 virus pandemic. The summary dataset of COVID-19 GWAS (14,134 cases and 1284,876 controls from European ancestry) is available in https://gwas.mrcieu. ac.uk/datasets/ebi-a-GCST010780 . We selected three independent genome-wide significant variants as COVID-19 genetic IVs using the following criteria 1 : p value ( < 5 × 10 −8 ) on COVID-19; 2 linkage disequilibrium (LD) (r 2 < 0.001) between SNPs 3 ; The F-statistics of all selected IVs (F-statistic > 10) were all above the threshold of weak instruments of F-statistic < 10. 9 The main characteristics of three selected COVID-19 genetic IVs are shown in Suppl. Table 1 .Second, we extracted three selected COVID-19 genetic IVs from endometrial cancer GWAS dataset. To date, the largest endome-