Growth hormone receptor polymorphism and growth hormone therapy response in children: A bayesian meta-analysis

Andrew G. Renehan, Mattea Solomon, Marcel Zwahlen, Reena Morjaria, Andrew Whatmore, Laura Audí, Gerhard Binder, Werner Blum, Pierre Bougnres, Christine Dos Santos, Antonio Carrascosa, Anita Hokken-Koelega, Alexander Jorge, Primus E. Mullis, Maïthé Tauber, Leena Patel, Peter E. Clayton

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Recombinant human growth hormone (rhGH) therapy is used in the long-term treatment of children with growth disorders, but there is considerable treatment response variability. The exon 3-deleted growth hormone receptor polymorphism (GHR d3) may account for some of this variability. The authors performed a systematic review (to April 2011), including investigator-only data, to quantify the effects of the GHR fl-d3 and GHR d3-d3 genotypes on rhGH therapy response and used a recently established Bayesian inheritance model-free approach to meta-analyze the data. The primary outcome was the 1-year change-in-height standard-deviation score for the 2 genotypes. Eighteen data sets from 12 studies (1,527 children) were included. After several prior assumptions were tested, the most appropriate inheritance model was codominant (posterior probability = 0.93). Compared with noncarriers, carriers had median differences in 1-year change-in-height standard-deviation score of 0.09 (95% credible interval (CrI): 0.01, 0.17) for GHR fl-d3 and of 0.14 (95% CrI: 0.02, 0.26) for GHR d3-d3. However, the between-study standard deviation of 0.18 (95% CrI: 0.10, 0.33) was considerable. The authors tested by meta-regression for potential modifiers and found no substantial influence. They conclude that 1) the GHR d3 polymorphism inheritance is codominant, contrasting with previous reports; 2) GHR d3 genotypes account for modest increases in rhGH effects in children; and 3) considerable unexplained variability in responsiveness remains. © 2012 The Auther.
    Original languageEnglish
    Pages (from-to)867-877
    Number of pages10
    JournalAmerican Journal of Epidemiology
    Volume175
    Issue number9
    DOIs
    Publication statusPublished - 1 May 2012

    Keywords

    • Bayesian meta-analysis
    • genetic model
    • growth hormone
    • growth hormone receptor polymorphism

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