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A Genome-Wide Pharmacogenetic Study of Growth Hormone Responsiveness

Abstract Context Individual patients vary in their response to growth hormone (GH). No large-scale genome-wide studies have looked for genetic predictors of GH responsiveness. Objective To identify genetic variants associated with GH responsiveness. Design Genome-wide association study (GWAS). Setti...

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Bibliographic Details
Published in:The journal of clinical endocrinology and metabolism 2020-10, Vol.105 (10), p.3203-3214
Main Authors: Dauber, Andrew, Meng, Yan, Audi, Laura, Vedantam, Sailaja, Weaver, Benjamin, Carrascosa, Antonio, Albertsson-Wikland, Kerstin, Ranke, Michael B, Jorge, Alexander A L, Cara, Jose, Wajnrajch, Michael P, Lindberg, Anders, Camacho-Hübner, Cecilia, Hirschhorn, Joel N
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Language:English
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Summary:Abstract Context Individual patients vary in their response to growth hormone (GH). No large-scale genome-wide studies have looked for genetic predictors of GH responsiveness. Objective To identify genetic variants associated with GH responsiveness. Design Genome-wide association study (GWAS). Setting Cohorts from multiple academic centers and a clinical trial. Patients A total of 614 individuals from 5 short stature cohorts receiving GH: 297 with idiopathic short stature, 276 with isolated GH deficiency, and 65 born small for gestational age. Intervention Association of more than 2 million variants was tested. Main Outcome Measures Primary analysis: individual single nucleotide polymorphism (SNP) association with first-year change in height standard deviation scores. Secondary analyses: SNP associations in clinical subgroups adjusted for clinical variables; association of polygenic score calculated from 697 genome-wide significant height SNPs with GH responsiveness. Results No common variant associations reached genome-wide significance in the primary analysis. The strongest suggestive signals were found near the B4GALT4 and TBCE genes. After meta-analysis including replication data, signals at several loci reached or retained genome-wide significance in secondary analyses, including variants near ST3GAL6. There was no significant association with variants previously reported to be associated with GH response nor with a polygenic predicted height score. Conclusions We performed the largest GWAS of GH responsiveness to date. We identified 2 loci with a suggestive effect on GH responsiveness in our primary analysis and several genome-wide significant associations in secondary analyses that require further replication. Our results are consistent with a polygenic component to GH responsiveness, likely distinct from the genetic regulators of adult height.
ISSN:0021-972X
1945-7197
1945-7197
DOI:10.1210/clinem/dgaa443