Evidence map›Paper›PMID 22242009›Full record

ArticlePLoS genetics2011

Common variants show predicted polygenic effects on height in the tails of the distribution, except in extremely short individuals.

Yingleong Chan, Oddgeir L Holmen, Andrew Dauber, Lars Vatten, Aki S Havulinna, Frank Skorpen, Kirsti Kvaløy, Kaisa Silander, Thutrang T Nguyen, Cristen Willer and 8 more

Abstract read
In one paragraph

Article in PLoS genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Insights and Implications of Genome-Wide Association Studies of Height.The Journal of clinical endocrinology and metabolism · 2018
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. The Biology of Stature.The Journal of pediatrics · 2016
    Article
  20. 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

18 authors.

Yingleong ChanDepartment of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America.
Oddgeir L Holmen
Andrew Dauber
Lars Vatten
Aki S Havulinna
Frank Skorpen
Kirsti Kvaløy
Kaisa Silander
Thutrang T Nguyen
Cristen Willer
Michael Boehnke
Markus Perola
Aarno Palotie
Veikko Salomaa
Kristian Hveem
Timothy M Frayling
Joel N Hirschhorn
Michael N Weedon

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 1R01DK075787NIDDK NIH HHS R01 DK075787Wellcome TrustWellcome Trust 085301/Z/08/Z
6 · The paper itself

Abstract

Common genetic variants have been shown to explain a fraction of the inherited variation for many common diseases and quantitative traits, including height, a classic polygenic trait. The extent to which common variation determines the phenotype of highly heritable traits such as height is uncertain, as is the extent to which common variation is relevant to individuals with more extreme phenotypes. To address these questions, we studied 1,214 individuals from the top and bottom extremes of the height distribution (tallest and shortest ∼1.5%), drawn from ∼78,000 individuals from the HUNT and FINRISK cohorts. We found that common variants still influence height at the extremes of the distribution: common variants (49/141) were nominally associated with height in the expected direction more often than is expected by chance (p<5×10⁻²⁸), and the odds ratios in the extreme samples were consistent with the effects estimated previously in population-based data. To examine more closely whether the common variants have the expected effects, we calculated a weighted allele score (WAS), which is a weighted prediction of height for each individual based on the previously estimated effect sizes of the common variants in the overall population. The average WAS is consistent with expectation in the tall individuals, but was not as extreme as expected in the shortest individuals (p<0.006), indicating that some of the short stature is explained by factors other than common genetic variation. The discrepancy was more pronounced (p<10⁻⁶) in the most extreme individuals (height<0.25 percentile). The results at the extreme short tails are consistent with a large number of models incorporating either rare genetic non-additive or rare non-genetic factors that decrease height. We conclude that common genetic variants are associated with height at the extremes as well as across the population, but that additional factors become more prominent at the shorter extreme.

Indexed as

AllelesAdolescentAdultAgedBody HeightCohort StudiesFemaleGene FrequencyGenetic Association StudiesHumansMaleMiddle AgedMultifactorial InheritancePhenotypePolymorphism, Single NucleotideQuantitative Trait, Heritable

Identifiers

PMID22242009
PMCPMC3248463

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Registered trials

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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.