Prediction of genomic biomarkers for endometriosis using the transcriptomic dataset

Table 2 Descriptive statistics for input variables¹

Gene ID	Gene symbol	Median		OR	P
		Normal (n = 22)	Endometriosis (n = 16)
ENSG00000085741	WNT11	1 (0-6)	0 (0-2)	-	0.093
ENSG00000103966	EHD4	10 (2-39)	4.5 (0-28)	0.828	< 0.0001
ENSG00000105374	NKG7	4 (0-15)	1 (0-7)	0.619	0.003
ENSG00000111249	CUX2	2 (0-6)	0 (0-1)	0.151	< 0.0001
ENSG00000139880	CDH24	1 (0-5)	0 (0-2)	0.145	< 0.0001
ENSG00000141577	CEP131	5 (1-14)	2 (0-9)	0.545	< 0.0001
ENSG00000158014	SLC30A2	1 (0-60)	1 (0-8)	-	0.637
ENSG00000166250	CLMP	7 (1-11)	12 (8-38)	2.617	< 0.0001
ENSG00000180385	EMC3-AS1	20 (10-40)	14 (2-20)	0.751	< 0.0001
ENSG00000183729	No found	1 (0-39)	0 (0-39)	-	0.166
ENSG00000196821	ILRUN	4 (1-8)	2 (0-7)	0.682	0.021
ENSG00000201207	Y_RNA	11.5 (3-25)	6 (1-12)	0.802	0.012
ENSG00000211935	IGHV1-3	1 (0-12)	0 (0-3)	-	0.022
ENSG00000226715	LINC01709	19 (0-53)	36 (3-84)	1.050	0.014
ENSG00000228630	HOTAIR	3 (0-12)	1 (0-5)	0.603	0.009
ENSG00000229245	No found	1 (0-35)	23.5 (0-59)	1.100	< 0.0001
ENSG00000232153	Novel transcript	31 (2-631)	323 (36-926)	1.007	0.000
ENSG00000256249	Novel transcript	8.5 (1-1653)	3 (0-22)	-	0.011
ENSG00000264630	PRKCA-AS1	0 (0-2)	1.5 (0-19)	2.812	0.003
ENSG00000270591	PPP2R5C	1 (0-3)	3 (0-8)	2.736	< 0.0001
ENSG00000279271	TEC	1 (0-9)	10 (0-45)	1.486	< 0.0001

¹Continuous variables are given as median (min-max).