Objective: Coronavirus disease 2019 (COVID-19) is a global pandemic caused by the severe acute respiratory syndrome coronavirus 2. It has been reported that dyslipidemia is correlated with COVID-19, and blood lipids levels, including total cholesterol, HDL-C (high-density lipoprotein cholesterol), and LDL-C (low-density lipoprotein cholesterol) levels, were significantly associated with disease severity. However, the causalities of blood lipids on COVID-19 are not clear. Approach and Results: We performed 2-sample Mendelian randomization (MR) analyses to explore the causal effects of blood lipids on COVID-19 susceptibility and severity. Using the outcome data from the UK Biobank (1221 cases and 4117 controls), we observed potential positive causal effects of dyslipidemia (odds ratio [OR], 1.27 [95% CI, 1.08–1.49], P =3.18×10 −3 ), total cholesterol (OR, 1.19 [95% CI, 1.07–1.32], P =8.54×10 −4 ), and ApoB (apolipoprotein B; OR, 1.18 [95% CI, 1.07–1.29], P =1.01×10 −3 ) on COVID-19 susceptibility after Bonferroni correction. In addition, the effects of total cholesterol (OR, 1.01 [95% CI, 1.00–1.02], P =2.29×10 −2 ) and ApoB (OR, 1.01 [95% CI, 1.00–1.02], P =2.22×10 −2 ) on COVID-19 susceptibility were also identified using outcome data from the host genetics initiative (14 134 cases and 1 284 876 controls). Conclusions: In conclusion, we found that higher total cholesterol and ApoB levels might increase the risk of COVID-19 infection.

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OBJECTIVE To investigate whether the association between brain imaging-derived phenotypes (IDPs) and Type 2 diabetes (T2D) related traits is causal. DESIGN Two sample, bidirectional Mendelian randomization study. SETTING Genome wide association study (GWAS) summary data taken from various cohorts comprised of the general population (mainly composed of Europeans). PARTICIPANTS Summary data were used from previous GWAS. For IDPs, the data included up to 33,224 European individuals from the UK Biobank. For T2D-related traits, the number of participants ranged from 63,396 to 455,313. MAIN OUTCOME MEASURES A total of 587 reliable IDPs and five T2D-related traits (T2D, fasting glucose, 2h-glucose post-challenge, glycated hemoglobin, and fasting insulin). RESULTS We identified 3 IDPs with potential causal effects on T2D or fasting insulin. For example, we observed that the area of the right rostral middle frontal cortex was negatively associated with the T2D risk (OR = 0.74, 95% CI 0.65 to 0.85, P = 1.31 x 10-5). In addition, we identified potential causal effects of T2D-related traits on 6 IDPs. For example, T2D was negatively associated with the volumes of the right superior frontal gyrus (beta = -0.05, 95% CI -0.08 to -0.03, P = 2.17 x 10-5) and the right paracentral lobule (beta = -0.05, 95% CI -0.07 to -0.02, P = 1.74 x 10-4). CONCLUSIONS Our results revealed strong genetic evidence for the bidirectional causal associations between brain neuroimaging phenotypes and T2D-related traits. This will contribute to better prediction and intervention for the risk of T2D.