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[Preprint]. 2022 May 3:2022.04.13.22273841. [Version 2] doi: 10.1101/2022.04.13.22273841

Table 5.

Top results in Mendelian randomization analyses

INV MR1
Exposure Chr Gene type Outcome Beta SE p N SNPs
PSRC1 1 Protein coding CHD −0.084 0.0075 4.8E-29 7
LTA 6 Protein coding CHD −0.069 0.011 1.3E-09 5
MIR6891 6 miRNA CHD 1.72 0.28 2.0E-09 25
LIPA 10 Protein coding CHD 0.0033 0.00039 2.9E-17 18
PHETA1 12 Protein coding CHD −0.078 0.013 4.7E-09 3
ACSL6 5 Protein coding COVID-19 0.19 0.064 0.0025# 4
DPP9 19 Protein coding COVID-19 −0.044 0.017 0.0078# 3
HLA-DRB1 6 Protein coding COVID-19 0.00099 0.00018 1.9E-08# 35
IFNAR2 21 Protein coding COVID-19 −0.023 0.0037 1.8E-06# 11
OAS1 12 Protein coding COVID-19 −0.0086 0.0022 1.6E-04$ 1
SLC22A31 12 Protein coding COVID-19 0.32 0.11 0.0029 13
TYK2 21 Protein coding COVID-19 0.011 0.0021 2.8E-08 3
AC006460.2 2 Bidirectional promoter lncRNA SBP −5.60 0.55 2.3E-24 3
MAP4 3 Protein coding SBP 0.092 0.0086 4.6E-27 4
PHETA1 12 Protein coding SBP −0.92 0.058 1.9E-58 3
SLC5A11 16 Protein coding SBP −0.82 0.066 5.3E-35 21
ACADVL 17 Protein coding SBP −0.035 0.0030 1.5E-31 3
1,

Beta/SE and p-value were obtained by inverse variance weighted MR method.

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Heterogeneity was observed in MR analyses. Sensitivity analyses were performed with median-based and mode-based MR methods in Supplemental Table 9.

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MR analysis was performed at gene level. At splice variation level (rs10774671), the MR p = 4E-06.