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. Author manuscript; available in PMC: 2021 Mar 1.
Published in final edited form as: J Hum Genet. 2020 Sep 18;66(3):297–306. doi: 10.1038/s10038-020-00843-4

Table 4.

Expression data analysis of pleiotropic genes

Pleiotropic analysis
BMI
Insulin resistant
Gene SNP FDR logFC p value logFC p value
JAZF1 rs849135 0.0002 1.76 1.39E–05 0.35 2.13E–05
SYN2 rs2119812 0.0018 −1.99 5.49E–03 −0.50 5.27E–04
CDKN2C rs12855 0.0227 −5.57 1.99E–12 −1.06 6.27E–11
RABGAP1 rs587364 0.0295 −0.80 3.08E–03 −0.15 7.46E–03
UBE2E2 rs17012823 0.0459 0.99 1.83E–04 0.14 8.22E–03
ATP2B4 rs17537593 0.0479 −1.36 4.51E–03 −0.38 7.26E–05
DDX42 rs11079511 0.0554 −0.48 2.87E–02 −0.14 1.67E–03
EIF3H rs12677487 0.0600 −0.96 4.42E–05 −0.22 2.13E–06
NUCB2 rs214105 0.0699 1.81 1.91E–05 0.39 5.18E–06
SKIV2L rs437179 0.0759 −0.77 3.38E–03 −0.13 1.20E–02
BPTF rs12449442 0.0839 0.94 3.65E–03 0.14 3.90E–02
SENP2 rs3087964 0.0876 −1.92 2.05E–06 −0.40 8.84E–07
WDR68 rs17631394 0.0899 −0.74 3.16E–02 −0.19 7.49E–03
SOBP rs3923954 0.1048 2.15 8.65E–06 0.53 3.62E–08
SLIT3 rs10069222 0.1096 0.78 4.54E–02 0.25 1.85E–03
THADA rs17334919 0.1108 1.66 2.17E–05 0.41 1.33E–07
SLC39A11 rs9912666 0.1145 2.08 3.78E–06 0.43 2.84E–06
CCND1 rs649392 0.1228 4.27 1.86E–09 0.78 8.58E–08
BCL2 rs12454712 0.1326 −1.04 2.37E–03 −0.26 1.72E–04
OGDH rs6961567 0.1342 −1.22 1.38E–05 −0.12 3.27E–02
GALNT10 rs6860445 0.1425 1.68 4.72E–05 0.29 4.68E–04
PROS1 rs8178610 0.1463 2.24 3.03E–10 0.45 3.39E–10
PHACTR2 rs1082 0.1543 0.64 3.10E–02 0.14 1.55E–02
NOPE rs2289045 0.1570 −2.57 1.68E–05 −0.43 4.02E–04
HLA-DRA rs3129882 0.1588 3.33 5.45E–09 0.63 7.17E–08
FBXW7 rs1516822 0.1633 1.42 3.96E–05 0.21 3.24E–03
C15orf44 rs12909511 0.1662 −1.50 2.58E–03 −0.28 4.84E–03
PLEKHM2 rs16851970 0.1771 0.82 5.05E–04 0.17 3.76E–04
TOM1L2 rs7222480 0.1872 −2.73 3.83E–08 −0.52 3.18E–07

The first column lists the 29 genes that show evidence of pleiotropy in both our study (FDR < 0.2) and the validation gene expression data (p < 0.05). The second and third columns list the corresponding SNPs and FDR value in our GWA-based pleiotropic analysis. The last four columns list the log fold change (FC) and p values in gene expression data which may reveal the association between genes and the phenotypes BMI and insulin resistance, respectively