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Table 8 Each of the two random permutation six-gene models that also had positive R2 in the Infinium data set (from Table 7) were combined with each random permutation seven-gene model that achieved an R2 higher than the L1 Infinium model (25 models) for a total of 50, 13 gene models

From: DNA methylation differences at growth related genes correlate with birth weight: a molecular signature linked to developmental origins of adult disease?

Data Set Genes in model Adjusted R2 and stability when tested on Infinium Data Genes in resulting model Gene name
GoldenGate gene model which achieved R 2 = 0.48 (stability 44/48) on the Infinium Data BEST1 IMPDH2 0.87 (44/48) CTTN GMDS Cortactin GDP-mannose 4,6-dehydratase
  OSBPL5   IMPDH2 IMP (inosine 5'-monophosphate) dehydrogenase 2
  PAX3   OSBPL5 oxysterol binding protein-like 5
  PSMC3   PAX3 paired box 3
  SERPINF1   PSMC3 proteasome (prosome, macropain) 26S subunit, ATPase, 3
Infinium gene model which achieved better R 2 than our model CTTN   REG1B regenerating islet-derived 1 beta
  GMDS   RUVBL1 RuvB-like 1 (E. coli)
  REG1B   SERPINF1 serpin peptidase inhibitor, clade F (alpha-2 antiplasmin, pigment epithelium derived factor), member 1
  VPS52   VPS52 vacuolar protein sorting 52 homolog
  RUVBL1    
  KIAA241    
  1. Only one of the 50 models achieved higher R2 than the L1 13 gene model. Genes in bold have suggested role in fetal or placental growth and development