A Genome-Wide Pharmacogenetic Study of Growth Hormone Responsiveness

Author:

Dauber Andrew1ORCID,Meng Yan2,Audi Laura3,Vedantam Sailaja2,Weaver Benjamin2,Carrascosa Antonio3,Albertsson-Wikland Kerstin4,Ranke Michael B5,Jorge Alexander A L6,Cara Jose7,Wajnrajch Michael P7ORCID,Lindberg Anders8,Camacho-Hübner Cecilia7,Hirschhorn Joel N2

Affiliation:

1. Division of Endocrinology, Children’s National Hospital, Washington, DC

2. Division of Endocrinology, Boston Children’s Hospital, and Program in Medical and Population Genetics, Broad Institute, Harvard Medical School, Boston, Massachusetts

3. Department of Pediatrics, Institut de Recerca (VHIR), Hospital Vall d’Hebron, Centre for Biomedical Research on Rare Diseases (CIBERER), Autonomous University, Barcelona, Spain

4. Department of Physiology/Endocrinology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden

5. University Children´s Hospital, Paediatric Endocrinology, Tübingen, Germany

6. Unidade de Endocrinologia do Desenvolvimento (LIM42), Hospital das Clinicas da Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil

7. Pfizer Inc, Rare Disease, New York

8. Pfizer, Data Management, Sollentuna, Sweden

Abstract

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.

Funder

Pfizer

Publisher

The Endocrine Society

Subject

Biochemistry (medical),Clinical Biochemistry,Endocrinology,Biochemistry,Endocrinology, Diabetes and Metabolism

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