Evidence map›Paper›PMID 33664501›Full record

ArticleEuropean journal of human genetics : EJHG2021

The limits of normal approximation for adult height.

Sergei A Slavskii, Ivan A Kuznetsov, Tatiana I Shashkova, Georgii A Bazykin, Tatiana I Axenovich, Fyodor A Kondrashov, Yurii S Aulchenko

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Choice of phenotype scale is critical in biobank-based G×E tests.bioRxiv : the preprint server for biology · 2026
    Article
  5. Review
  6. Genetic Risk Scores for the Clinical Rheumatologist.Journal of clinical rheumatology : practical reports on rheumatic & musculoskeletal diseases · 2025
    Review
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

7 authors.

Sergei A Slavskii *Skolkovo Institute of Science and Technology, Moscow, Russia.
Ivan A Kuznetsov *Skolkovo Institute of Science and Technology, Moscow, Russia.ORCID 0000-0002-4873-0729
Tatiana I ShashkovaNovosibirsk State University, Novosibirsk, Russia.
Georgii A BazykinSkolkovo Institute of Science and Technology, Moscow, Russia.ORCID 0000-0003-2334-2751
Tatiana I AxenovichNovosibirsk State University, Novosibirsk, Russia.
Fyodor A KondrashovInstitute of Science and Technology, Vienna, Austria.
Yurii S AulchenkoNovosibirsk State University, Novosibirsk, Russia. yurii@bionet.nsc.ru.ORCID 0000-0002-7899-1575

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adult height inspired the first biometrical and quantitative genetic studies and is a test-case trait for understanding heritability. The studies of height led to formulation of the classical polygenic model, that has a profound influence on the way we view and analyse complex traits. An essential part of the classical model is an assumption of additivity of effects and normality of the distribution of the residuals. However, it may be expected that the normal approximation will become insufficient in bigger studies. Here, we demonstrate that when the height of hundreds of thousands of individuals is analysed, the model complexity needs to be increased to include non-additive interactions between sex, environment and genes. Alternatively, the use of log-normal approximation allowed us to still use the additive effects model. These findings are important for future genetic and methodologic studies that make use of adult height as an exemplar trait.

Indexed as

Body HeightQuantitative Trait, HeritableReference ValuesAdultAlgorithmsBiological Specimen BanksFemaleGenome-Wide Association StudyHumansMaleModels, GeneticMultifactorial InheritancePopulation SurveillanceUnited Kingdom

Identifiers

PMID33664501
PMCPMC8298501

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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.