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. 2017 Mar 7;15:50. doi: 10.1186/s12916-017-0800-1

Table 3.

Methylome-CpGs associated with birth weight at a false discovery rate of 0.05

CpG CHR POS IQR Est 95% CI P Gene Annotation
cg00510507 10 61900413 8.4 4.9 (3.5 to 6.2) 4.6 × 10–8 ANK3 5’ UTR
cg08390209 9 22005563 6.6 7.1 (5.1 to 9.0) 4.9 × 10–8 CDKN2B 3’ UTR
cg23671997 15 65677753 4.6 9.2 (6.5 to 12) 1.6 × 10–7 IGDCC4 Intron
cg14300531 11 73969506 9.6 –3.9 (–5.0 to –2.8) 4.0 × 10–7 P4HA3 Intron
cg25685359 22 46473721 8.8 –3.7 (–4.8 to –2.6) 9.9 × 10–7 MIRLET7BHG Non-coding
cg22383874 17 48670670 4.8 7.6 (5.2 to 10) 1.2 × 10–6 CACNA1G Intron
cg02729344 16 49888237 6.6 6.8 (4.7 to 9.0) 1.9 × 10–6 ZNF423 Intron
cg25487405 22 46473039 5.5 –5.6 (–7.2 to –3.9) 2.2 × 10–6 MIRLET7BHG Non-coding

Eight CpGs were significantly associated with birth weight at a false discovery rate (FDR) of 0.05. The eight CpGs mapped to seven loci (two CpGs mapped to MIRLET7BHG). Regression coefficients (Est), 95% confidence intervals (CI) and P values are reported as percentage change in birth weight for 10% increase in percent methylation. Interquartile range (IQR), chromosome (CHR) and position (POS) of CpG are also shown. Analysis was done by linear regression of log-transformed birth weight against methylation at each CpG site, adjusted for child sex, gestational age, ethnicity, cellular proportions and interactions between ethnicity and cellular proportions