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. 2019 Jul 26;9:10858. doi: 10.1038/s41598-019-47402-2

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© The Author(s) 2019

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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The effects of neonatal MC4Rrs17782313 and ENPP1rs1044498 SNPs on birth weight of full-term newborns adjusted for GWG status and other covariates - unstandardized regression beta coefficients with their confidence intervals (95% CI). Legend: Neonatal MC4Rrs17782313 and ENPP1rs1044498 SNPs were regarded as dichotomous predictors in multiple linear regression and coded as 1 = variant genotype, 0 = wild genotype; also for Multiparous (coded as 1 = yes, 0 = nulliparous) and Smoking in pregnancy (coded as 1 = yes; 0 = no) while Educational status (coded as 0 = 0 years of education; 1 = under 8 years of education; 2 = between 9 and 12 years of education; 3 = more than 12 years of education) and GWG status (0 = insufficient GWG; 1 = normal GWG; 2 = excessive GWG) were regarded as ordinal variables.