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[Preprint]. 2023 Apr 3:2023.03.30.23287968. [Version 1] doi: 10.1101/2023.03.30.23287968

Table 2:

Reverse MR analysis. The table shows the results of MR analysis with the subcortical brain structures as exposure and the biomarkers that were significant in the primary analysis as the outcomes. Table 2A shows the results for proteins and 2B shows the results for the metabolites. N SNPs is the number of genetic instruments used for the analysis.

Region (Exposure) Biomarker ID (Outcome) N SNPs Beta SE p-value
(2A) Proteins

Accumbens SCGB1C1.5960.49.3 7 5.84E-05 0.00143 0.967
Accumbens SERPING1.4479.14.2 7 0.0024 0.00175 0.159
Amygdala GZMA.3440.7.2 17 0.0001 0.00048 0.795
Caudate TMPRSS11D.6547.83.3 24 0.00018 0.00021 0.377
Caudate TXNDC12.4815.25.3 24 −0.00026 0.00023 0.268
Hippocampus C5orf38.6378.2.3 18 −0.00066 0.00025 0.008
Hippocampus CPNE1.5346.24.3 18 −0.00126 0.00119 0.288
Hippocampus CTF1.13732.79.3 18 −0.00022 0.00025 0.369
Hippocampus VIMP.11286.78.3 18 −0.00019 0.00025 0.435
Putamen ASIP.5676.54.3 28 −0.00014 0.00017 0.410
Thalamus CTRB1.5671.1.3 28 0.00005 0.00015 0.743

(2B) Metabolites

Amygdala Uridine 6 −3E-06 7.28E-05 0.967
Amygdala Arachidonate 6 7.84E-05 0.0001 0.437
Caudate Mannose 8 −8.23E-05 4.21E-05 0.051
Thalamus Urate 12 −7.89E-06 1.69E-05 0.641
Thalamus 1-arachidonoylglycerphosphocholine 12 −4.13E-05 3.73E-05 0.267
Thalamus N-acetylornithine 12 −3.60E-05 5.05E-05 0.475