Evidence map›Paper›PMID 29982553›Full record

ReviewThe Journal of clinical endocrinology and metabolism2018

Insights and Implications of Genome-Wide Association Studies of Height.

Michael H Guo, Joel N Hirschhorn, Andrew Dauber

Open access · bronzeAbstract readReview
In one paragraph

Review in The Journal of clinical endocrinology and metabolism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Review
  3. Genotypic and phenotypic consequences of domestication in dogs.bioRxiv : the preprint server for biology · 2025
    Article
  4. Genome-Wide Scan of Fifth Finger Clinodactyly.Molecular genetics & genomic medicine · 2025
    Article
  5. Article
  6. Review
  7. Animals : an open access journal from MDPI · 2024
    Article
  8. Applications of genomic research in pediatric endocrine diseases.Clinical and experimental pediatrics · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Revisiting the Population Genetics of Human Height.Journal of the Endocrine Society · 2020
    Article
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 1 country.

Michael H GuoBroad Institute of MIT and Harvard, Cambridge, Massachusetts.
Joel N HirschhornBroad Institute of MIT and Harvard, Cambridge, Massachusetts.
Andrew DauberDivision of Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Cincinnati Children's Hospital Medical Center · USHarvard University · USUniversity of Florida · US

Funding

Cell Interactions in the Inflamed Intestinal MucosaR01DK075787 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI JOEL N HIRSCHHORN · 2007 to 2026
$13.1M
NIDDK NIH HHS R01 DK075787
6 · The paper itself

Abstract

Context: In the last decade, genome-wide association studies (GWASs) have catalyzed our understanding of the genetics of height and have identified hundreds of regions of the genome associated with adult height and other height-related body measurements. Evidence Acquisition: GWASs related to height were identified via PubMed search and a review of the GWAS catalog. Evidence Synthesis: The GWAS results demonstrate that height is highly polygenic: that is, many thousands of genetic variants distributed across the genome each contribute to an individual's height. These height-associated regions of the genome are enriched for genes in known biological pathways involved in growth, such as fibroblast growth factor signaling, as well as for genes expressed in relevant tissues, such as the growth plate. GWASs can also uncover previously unappreciated biological pathways, such as the STC2/PAPPA/IGFBP4 pathway. The genes implicated by GWASs are often the same genes that are the genetic causes of Mendelian growth disorders or skeletal dysplasias, and GWAS results can provide complementary information about these disorders. Conclusions: Here, we review the rationale behind GWASs and what we have learned from GWASs for height, including how it has enhanced our understanding of the underlying biology of human growth. We also highlight the implications of GWASs in terms of prediction of adult height and our understanding of Mendelian growth disorders.

Indexed as

Genome-Wide Association StudyBody HeightGrowthGrowth DisordersHumansMultifactorial InheritanceSignal Transduction

Identifiers

PMID29982553
PMCPMC7263788
OpenAlexW2810005304

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.