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. 2019 Mar 18;24:98–107. doi: 10.1016/j.molmet.2019.03.004

Table 4.

Significant eQTL genes also differentially expressed in T2D compared to controls in PPP dataset.

PPP
Gene SNP ID distance eQTL FDR logFC FDR Direction of eQTL effect
SCTR rs4344946 −15760 0.023 −0.78 0.03
CYP2U1 rs141713207 −22383 0.002 −0.55 0.01 +
CYP4V2 rs10866290 757 6.38E-11 −0.5 0.05
CASR rs3749203 489 0.001 −0.45 0.04 +
ACP6 rs28700004 5788 7.94E-08 −0.41 0.01
LOC79160 rs3761133 653 0.015 −0.39 0.03 +
IGF1R rs12591122 305650 3.08E-05 −0.34 0.04 +
LINC00667 rs34361006 49303 0.032 −0.31 0.02
ACVR1B rs2854464 43389 0.008 −0.28 0.02 +
KLHDC10 rs4443587 68107 1.58E-10 −0.25 0.01
VAMP1 rs11613996 22444 0.016 −0.25 0.02 +
ELP5 rs222843 −9867 1.40E-15 −0.25 0.03 +
RASA3 rs9525230 80306 4.37E-07 −0.22 0.04 +
H2AFV rs13245012 −669 0.002 −0.22 0.04
METTL15 rs4614434 −52250 0.027 −0.15 0.05
RNF213 rs35627722 15051 0.01 0.44 0.01
CAST kgp11684924 12272 4.62E-07 0.46 0.02 +
ERAP1 kgp3909205 15984 3.09E-12 0.49 0.03 +
ZNF117 rs10262238 121749 0.015 0.5 0.02 +
CFLAR rs10184098 9878 0.001 0.63 0.03
ONECUT2 rs514250 32118 0.008 0.71 0.04 +