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. 2022 Nov 3;12(11):1826. doi: 10.3390/jpm12111826

Table 1.

SNPs and Weights in the Polygenic Risk Score Model 1.

Term Estimate std.error Statistic p-Value Overlapped Gene Nearest Upstream Gene Nearest Downstream Gene
rs1173743 0.1453 0.031 4.712 2.45×106 NPR3
rs4660586 −0.1570 0.034 −4.603 4.17×106 HIVEP3
rs77979097 0.3020 0.071 4.266 1.99×105 CSMD1
rs29282 0.2175 0.053 4.128 3.66×105 FMR1
rs144401118 0.5282 0.130 4.068 4.75×105 RP11-102N11.1 SMLR1
rs167479 −0.1247 0.031 −4.000 0.0001 RGL3
rs193168008 1.1161 0.282 3.965 0.0001 LINC01019 IRX1
rs534036441 0.9111 0.234 3.901 0.0001 RNU6-163P LINC00704
rs537363408 1.0705 0.275 3.893 0.0001 RAD51B
rs190092234 1.1370 0.294 3.865 0.0001 OSBPL6
rs141667164 1.2467 0.326 3.830 0.0001 DEF6 PPARD
rs115654387 0.4269 0.112 3.811 0.0001 RP11-329N22.1 RP11-334L9.1
rs544149038 1.3523 0.360 3.753 0.0002 C14orf177 AL132796.1
rs113046103 0.2230 0.060 3.703 0.0002 SHANK2
rs561028558 1.1228 0.303 3.700 0.0002 TOP2A
rs191614564 0.4953 0.137 3.607 0.0003 SCRT2 SLC52A3
rs72674615 0.6124 0.170 3.604 0.0003 LINC00609; PTCSC3
rs113882455 0.4979 0.143 3.474 0.0005 U40455.1 RPL7L1P11
rs28558138 0.1080 0.031 3.452 0.0006 TBC1D19 STIM2
rs71519836 0.2241 0.065 3.447 0.0006 MYOM2 AC133633.2
rs80043362 0.1698 0.050 3.413 0.0006 JPH2
rs183374245 0.4377 0.129 3.400 0.0007 CACNA2D1
rs2409532 −0.0991 0.030 −3.342 0.0008 AP000330.8
rs145385264 0.2780 0.083 3.333 0.0009 RP11-344P13.4
rs558954655 0.7364 0.222 3.311 0.0009 SPON2

1 Table with top most significant SNPs from the polygenic risk score as the result of the machine-learning procedure. SNPs are annotated using SNPnexus. Full Table with all 115 SNPs and their weights is available in the Supplementary Table S1.