Evidence map›Paper›PMID 40189669›Full record

ReviewNature reviews. Genetics2025

The genetic basis of human height.

Louise S Bicknell, Joel N Hirschhorn, Ravi Savarirayan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Genetic influences on haematopoiesis.Nature reviews. Genetics · 2026
    Review
  4. Healthy short stature.Archives of endocrinology and metabolism · 2026
    Review
  5. An introduction to polygenic scores - methodological basics and recent advances.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
    Article
  6. Article
  7. Article
  8. Choice of phenotype scale is critical in biobank-based G×E tests.bioRxiv : the preprint server for biology · 2026
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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.

Louise S BicknellDepartment of Biochemistry, University of Otago, Dunedin, New Zealand. louise.bicknell@otago.ac.nz.ORCID http://orcid.org/0000-0001-6899-9322
Joel N HirschhornDivision of Endocrinology, Boston Children's Hospital, Boston, MA, USA.
Ravi SavarirayanMurdoch Children's Research Institute, Royal Children's Hospital and University of Melbourne, Parkville, Victoria, Australia. ravi.savarirayan@mcri.edu.au.ORCID http://orcid.org/0000-0002-5105-8427

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human height is a model polygenic trait - additive effects of many individual variants create continuous, genetically determined variation in this phenotype. Height can also be severely affected by single-gene variants in monogenic disorders, often causing severe alterations in stature relative to population averages. Deciphering the genetic basis of height provides understanding into the biology of growth and is also of relevance to disease, as increased or decreased height relative to population averages has been epidemiologically and genetically associated with an altered risk of cancer or cardiometabolic diseases. With recent large-scale genome-wide association studies of human height reaching saturation, its genetic architecture has become clearer. Genes implicated by both monogenic and polygenic studies converge on common developmental or cellular pathways that affect stature, including at the growth plate, a key site of skeletal growth. In this Review, we summarize the genetic contributors to height, from ultra-rare monogenic disorders that severely affect growth to common alleles that act across multiple pathways.

Indexed as

Body HeightGenetic VariationGenome-Wide Association StudyHumansMultifactorial InheritancePhenotype

Identifiers

What OpenQuestion holds

Textmetadata
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.