Evidence map›Paper›PMID 17186467›Full record

ArticleAmerican journal of human genetics2006

Human adaptive evolution at Myostatin (GDF8), a regulator of muscle growth.

Matthew A Saunders, Jeffrey M Good, Elizabeth C Lawrence, Robert E Ferrell, Wen-Hsiung Li, Michael W Nachman

Abstract read
In one paragraph

Article in American journal of human genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Myogenic Potential inACS omega · 2026
    Article
  5. Article
  6. Enhanced Muscle Fibers ofInternational journal of molecular sciences · 2022
    Article
  7. Effects of Muscles on Bone Metabolism-with a Focus on Myokines.Annals of geriatric medicine and research · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Myostatin A55T Genotype is Associated with Strength Recovery Following Exercise-Induced Muscle Damage.International journal of environmental research and public health · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

6 authors.

Matthew A SaundersDepartment of Ecology and Evolution, University of Chicago, Chicago, IL 60637, USA. saunders@uchicago.edu
Jeffrey M Good
Elizabeth C Lawrence
Robert E Ferrell
Wen-Hsiung Li
Michael W Nachman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myostatin (GDF8) is a negative regulator of muscle growth in mammals, and loss-of-function mutations are associated with increased skeletal-muscle mass in mice, cattle, and humans. Here, we show that positive natural selection has acted on human nucleotide variation at GDF8, since the observed ratio of nonsynonymous:synonymous changes among humans is significantly greater than expected under the neutral model and is strikingly different from patterns observed across mammalian orders. Furthermore, extended haplotypes around GDF8 suggest that two amino acid variants have been subject to recent positive selection. Both mutations are rare among non-Africans yet are at frequencies of up to 31% in sub-Saharan Africans. These signatures of selection at the molecular level suggest that human variation at GDF8 is associated with functional differences.

Indexed as

Adaptation, PhysiologicalEvolution, MolecularAnimalsBlack PeopleGene FrequencyGenetic VariationHaplotypesHumansMammalsMuscle DevelopmentMyostatinPolymorphism, Single NucleotideSelection, GeneticTransforming Growth Factor betaWhite PeopleMSTN protein, humanMstn protein, mouseMyostatinTransforming Growth Factor beta

Identifiers

PMID17186467
PMCPMC1698719

What OpenQuestion holds

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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.