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Table 1 The 43 genes used to determine the predictive model

From: Establishment and validation of a predictive model of preeclampsia based on transcriptional signatures of 43 genes in decidua basalis and peripheral blood

Gene

Coefficient

ABCA7

0.541868753

ABCG1

 − 0.06517424

ATF4

0.838095044

CALR

0.031047572

CASP6

0.146229425

CAV2

 − 0.180641438

CBS

 − 0.059166669

CCNB1

 − 0.042959353

CDIPT

 − 0.808012575

CHEK1

 − 0.002422351

CTNNA2

0.055547405

CYFIP1

 − 0.107809352

DEGS1

 − 0.111781866

DGKH

0.136330674

GGA1

0.024137534

GNG13

0.15972311

HTRA2

 − 0.174892988

IKBKB

0.158093266

MAP4K3

 − 0.425954731

OR11H12

0.461050481

OR1G1

 − 0.134170642

OR1L4

0.001125134

OR1N2

0.786152706

OR2A7

0.20659641

OR4C15

0.446657402

OR51B5

0.282437104

OR5AP2

 − 0.164222624

OR8J1

 − 0.548971209

PDE11A

 − 0.300761564

PFAS

 − 0.271570254

PIK3R3

 − 0.014831635

PPT2

0.024398568

PRKCG

0.190530227

PRMT5

 − 0.070152948

RHOA

 − 0.492044815

RIPK1

1.186303398

RRM2

 − 0.000843929

SLC22A1

 − 0.202447713

SLC22A7

 − 0.554879551

SLC4A5

0.082317787

SPTLC1

 − 0.454811615

STMN1

 − 0.032054443

TUBB6

0.600532672