Evidence map›Paper›PMID 32652002›Full record

Observational studyThe Journal of clinical endocrinology and metabolism2020

A Genome-Wide Pharmacogenetic Study of Growth Hormone Responsiveness.

Andrew Dauber, Yan Meng, Laura Audi, Sailaja Vedantam, Benjamin Weaver, Antonio Carrascosa, Kerstin Albertsson-Wikland, Michael B Ranke, Alexander A L Jorge, Jose Cara and 4 more

Open access · hybridAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in The Journal of clinical endocrinology and metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Human height: a model common complex trait.Annals of human biology · 2023
    Review
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  11. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 8 institutions in 5 countries.

Andrew DauberDivision of Endocrinology, Children's National Hospital, Washington, DC.
Yan MengDivision of Endocrinology, Boston Children's Hospital, and Program in Medical and Population Genetics, Broad Institute, Harvard Medical School, Boston, Massachusetts.
Laura AudiDepartment of Pediatrics, Institut de Recerca (VHIR), Hospital Vall d'Hebron, Centre for Biomedical Research on Rare Diseases (CIBERER), Autonomous University, Barcelona, Spain.
Sailaja VedantamDivision of Endocrinology, Boston Children's Hospital, and Program in Medical and Population Genetics, Broad Institute, Harvard Medical School, Boston, Massachusetts.
Benjamin WeaverDivision of Endocrinology, Boston Children's Hospital, and Program in Medical and Population Genetics, Broad Institute, Harvard Medical School, Boston, Massachusetts.
Antonio CarrascosaDepartment of Pediatrics, Institut de Recerca (VHIR), Hospital Vall d'Hebron, Centre for Biomedical Research on Rare Diseases (CIBERER), Autonomous University, Barcelona, Spain.
Kerstin Albertsson-WiklandDepartment of Physiology/Endocrinology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Michael B RankeUniversity Children´s Hospital, Paediatric Endocrinology, Tübingen, Germany.
Alexander A L JorgeUnidade de Endocrinologia do Desenvolvimento (LIM42), Hospital das Clinicas da Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil.
Jose CaraPfizer Inc, Rare Disease, New York.
Michael P WajnrajchPfizer Inc, Rare Disease, New York.
Anders LindbergPfizer, Data Management, Sollentuna, Sweden.
Cecilia Camacho-HübnerPfizer Inc, Rare Disease, New York.
Joel N HirschhornDivision of Endocrinology, Boston Children's Hospital, and Program in Medical and Population Genetics, Broad Institute, Harvard Medical School, Boston, Massachusetts.
Broad Institute · USPfizer (United States) · USUniversitat Autònoma de Barcelona · ESChildren's National · USHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRPfizer (Sweden) · SEUniversity Children's Hospital Tübingen · DEUniversity of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextIndividual patients vary in their response to growth hormone (GH). No large-scale genome-wide studies have looked for genetic predictors of GH responsiveness.

objectiveTo identify genetic variants associated with GH responsiveness.

designGenome-wide association study (GWAS).

settingCohorts 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.

interventionAssociation of more than 2 million variants was tested.

main outcome measuresPrimary 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.

resultsNo 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.

conclusionsWe 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.

Indexed as

Genetic LociBody HeightChildCohort StudiesDwarfism, PituitaryFemaleGalactosyltransferasesGenome-Wide Association StudyHuman Growth HormoneHumansInfant, Small for Gestational AgeMaleMolecular ChaperonesPharmacogenomic TestingPolymorphism, Single NucleotideSialyltransferasesGalactosyltransferasesHuman Growth HormoneMolecular ChaperonesSialyltransferasesTBCE protein, humangenome-wide associationgrowth hormonepharmacogeneticsshort stature

Identifiers

PMID32652002
PMCPMC7446971
OpenAlexW3040798108

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.