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Table 3 Linear regression models of the effect of the two selected SNPs on GH-related variables in MDC

From: Genetic determinants of growth hormone and GH-related phenotypes

 

rs7208736 (GWAS)

rs13153388 (Candidate gene)

 

Variable

Beta

95%CI

P

Beta

95%CI

P

All

Height

−0.002

−0.015 to 0.011

0.78

−0.019

−0.032 to −0.006

0.003

BMI

−0.005

−0.024 to 0.014

0.59

0.009

−0.010 to 0.027

0.36

Waist

−0.004

−0.019 to 0.012

0.64

0.010

−0.005 to 0.025

0.18

Male

Height

−0.006

−0.036 to 0.024

0.70

−0.017

−0.046 to 0.012

0.26

BMI

−0.035

−0.065 to −0.004

0.026

0.010

−0.020 to 0.039

0.51

Waist

−0.036

−0.066 to −0.005

0.021

0.008

−0.021 to 0.038

0.58

Female

Height

0.000

−0.024 to 0.024

0.99

−0.034

−0.057 to −0.011

0.003

BMI

0.009

−0.015 to 0.033

0.46

0.008

−0.015 to 0.032

0.48

Waist

0.013

−0.011 to 0.037

0.28

0.015

−0.008 to 0.039

0.19

  1. Minor allele modeled as effect allele.One linear regression model is executed per variable with the variable in question as independent. Adjusted for sex and age. Beta coefficients are expressed as the increment of standardized values of the variable (BMI, waist, height) per 1 minor allele. Individuals available for analysis in rs7208736 ranging between 23,126–23,140 in all; 9103–9109 in males and 14,023–14,031 in females. Individuals available for analysis in rs13153388 ranging between 22,997–23,011 in all; 9024–9031 in males and 13,973–13,980 in females. p-values < 0.05 in bold
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BMC Genomics

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