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. Author manuscript; available in PMC: 2016 Dec 1.
Published in final edited form as: Placenta. 2015 Oct 23;36(12):1480–1486. doi: 10.1016/j.placenta.2015.10.005

Table 3.

Multiple logistic regression based on SNPs selected from candidate circadian rhythm genes using a bi-level selection approach

Genes Chromosome SNPs Minor Allele MAF OR 95%CI Empirical p-value
RORA 15 rs341397 A 0.006 7.22 2.39–21.73 0.000
RORA 15 rs341392 A 0.441 1.31 1.05–1.63 0.017
RORA 15 rs9788699 G 0.404 0.70 0.51–0.94 0.019
RORA 15 rs3784610 A 0.377 1.49 1.07–2.08 0.020
RORB 9 rs7869849 A 0.321 3.30 1.21–8.99 0.020
CRY2 11 chr11:45829415 A 0.037 1.72 1.06–2.78 0.028
RORA 15 rs1680446 A 0.019 0.34 0.13–0.89 0.028
NPAS2 2 rs17655180 C 0.054 0.59 0.36–0.97 0.039
DEC1 9 rs7851481 A 0.037 2.76 1.04–7.33 0.042
RORB 9 rs1407845 G 0.321 0.35 0.13–0.97 0.043
RORA 15 rs11639241 C 0.179 1.60 0.96–2.69 0.072
RORA 15 rs6494217 A 0.042 1.61 0.95–2.72 0.077
RORA 15 rs340025 A 0.401 1.30 0.97–1.75 0.083
RORA 15 rs7168782 A 0.080 0.68 0.44–1.06 0.087
RORA 15 rs2899663 G 0.235 0.80 0.61–1.04 0.088
RORB 9 rs10781238 A 0.287 1.28 0.96–1.71 0.096
RORA 15 rs4638514 A 0.206 1.28 0.93–1.75 0.132
NPAS2 2 rs3820785 G 0.057 1.37 0.91–2.08 0.135
RORA 15 rs1533940 G 0.177 1.25 0.91–1.71 0.164
RORA 15 rs1370431 G 0.412 1.25 0.81–1.71 0.176
RORA 15 rs8033552 A 0.344 0.84 0.65–1.08 0.181
PER2 2 rs10462023 A 0.304 0.87 0.70–1.07 0.188
RORB 9 rs10869412 A 0.325 1.30 0.87–1.96 0.202
DEC1 9 rs10120799 A 0.029 0.48 0.16–1.48 0.203
PER2 2 rs2304673 C 0.108 0.82 0.58–1.14 0.233
CLOCK 4 rs3805148 A 0.408 1.14 0.92–1.40 0.235
RORA 15 rs8036966 C 0.178 1.26 0.86–1.85 0.240
CSNK1E 22 rs1534891 A 0.018 1.50 0.75–2.97 0.248
PER3 1 rs228641 A 0.014 0.57 0.20–1.59 0.281
RORA 15 rs17270188 G 0.362 0.88 0.68–1.12 0.295
ARNTL 11 rs12795264 C 0.017 0.61 0.24–1.55 0.299
RORA 15 rs12908671 A 0.023 1.39 0.71–2.75 0.341
CRY2 11 chr11:45854227 C 0.103 0.82 0.55–1.23 0.342
Genes Chromosome SNPs Minor Allele MAF OR 95%CI p-value
RORA 15 rs17303530 C 0.297 0.80 0.50–1.28 0.344
CRY2 11 chr11:45840879 A 0.018 1.46 0.66–3.22 0.350
ARNTL 11 rs2290037 G 0.050 1.22 0.80–1.87 0.359
RORA 15 rs8042228 A 0.430 0.91 0.74–1.12 0.385
RORA 15 rs8041381 G 0.190 0.86 0.58–1.26 0.425
RORA 15 rs12594188 A 0.362 1.10 0.87–1.39 0.443
NPAS2 2 rs356651 G 0.022 1.28 0.68–2.41 0.450
ARNTL2 12 rs1562048 A 0.084 0.85 0.55–1.30 0.453
CRY1 12 rs12368868 G 0.456 0.93 0.76–1.14 0.471
CRY1 12 rs8192440 A 0.084 0.87 0.60–1.27 0.474
RORA 15 rs340008 A 0.038 1.23 0.69–2.18 0.480
RORA 15 rs341408 A 0.423 1.07 0.88–1.32 0.494
CRY2 11 chr11:45831968 T 0.427 1.10 0.82–1.46 0.523
RORA 15 rs7163680 C 0.222 0.83 0.46–1.50 0.530
RORC 1 rs3790515 A 0.078 0.89 0.62–1.28 0.533
PER3 1 rs875994 G 0.267 1.07 0.86–1.34 0.554
PER3 1 rs228654 A 0.039 1.15 0.70–1.91 0.581
RORA 15 rs782958 A 0.220 0.93 0.72–1.21 0.596
RORA 15 rs12903172 G 0.293 1.07 0.84–1.36 0.600
RORB 9 rs4098048 A 0.439 1.09 0.78–1.51 0.630
ARNTL2 12 rs16931937 G 0.020 0.82 0.35–1.88 0.634
RORA 15 rs17237810 G 0.093 1.08 0.76–1.53 0.660
RORA 15 rs7176774 A 0.371 0.94 0.72–1.24 0.676
CRY2 11 chr11:45849748 G 0.024 0.83 0.33–2.12 0.701
RORA 15 rs17270362 A 0.070 0.92 0.59–1.42 0.701
CRY2 11 rs12281674 G 0.244 1.06 0.78–1.45 0.703
RORA 15 rs1370433 A 0.432 1.10 0.67–1.79 0.704
RORB 9 rs10781235 A 0.266 0.94 0.65–1.36 0.733
DEC1 9 rs1414141 G 0.467 1.06 0.75–1.51 0.737
RORA 15 rs930359 G 0.049 0.91 0.52–1.60 0.738
CRY2 11 chr11:45835169 A 0.030 0.90 0.41–1.94 0.781
DEC1 9 rs2183700 A 0.388 1.03 0.72–1.47 0.883

MAF = Minor Allele Frequency in controls