4.4 Article

Associations of the growth hormone receptor (GHR) gene polymorphisms with adiposity and IGF-I activity in adolescents

Journal

CLINICAL ENDOCRINOLOGY
Volume 73, Issue 3, Pages 313-322

Publisher

WILEY-BLACKWELL
DOI: 10.1111/j.1365-2265.2010.03786.x

Keywords

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Funding

  1. Croucher Foundation
  2. Research Grants Council of the Hong Kong Special Administrative Region, China [CUHK 4055/01M]

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P>Objective: To explore the genetic effect of the GH receptor (GHR) on obesity and related metabolic parameters in Hong Kong Chinese adolescents. Context: Obesity is a growing global epidemic. Increasing evidence suggests that the GH-IGF-I axis plays an important role in regulating adiposity and insulin sensitivity. Design: We examined the associations of genetic variants of GHR with serum IGF-I and IGFBP-3 levels as well as obesity-related metabolic traits in Hong Kong Chinese adolescents. Patients: Nine hundred and eighty-one randomly selected Hong Kong Chinese adolescents from 14 schools. Measurements: We genotyped 17 single nucleotide polymorphisms (SNP) at GHR and measured serum IGF-I and IGFBP-3 levels as well as obesity-related metabolic traits including fasting plasma glucose, insulin and lipid levels. Results: There were significant associations between rs4410646 and the body composition (P = 0 center dot 0044) and blood pressure factor scores (P = 0 center dot 00017). Carriers of the CC genotype had lower body mass index, percentage body fat, waist and hip circumferences than AC and AA genotype carriers (P = 0 center dot 00030-0 center dot 0094). There was also association between rs7703713 and the IGF-I activity factor score (P = 0 center dot 0033). The GA and AA carriers of rs7703713 had higher serum IGF-I, higher serum IGFBP-3 and higher IGF-I/IGFBP-3 molar ratio (P = 0 center dot 00069-0 center dot 025). Haplotype analysis did not increase the significance of associations. Conclusion: Our results support the role of GHR gene polymorphisms in modulating adiposity and IGF-I activity in adolescents. Examination of interactions of these SNPs with lifestyle, environmental and perinatal factors may provide further insights into their long-term effects on obesity and metabolic risks.

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