Evidence map›Paper›PMID 31441021›Full record

ReviewCurrent osteoporosis reports2019

Complex Phenotypes: Mechanisms Underlying Variation in Human Stature.

Pushpanathan Muthuirulan, Terence D Capellini

Abstract readReview
In one paragraph

Review in Current osteoporosis reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Genetic Regulation of Adult Stature in Humans.The Journal of clinical endocrinology and metabolism · 2020
    Article
  9. 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

2 authors.

Pushpanathan MuthuirulanDepartment of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
Terence D CapelliniDepartment of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA. tcapellini@fas.harvard.edu.

Funding

Uncovering the Genetic Mechanisms Behind Joint-Specific OsteoarthritisR01AR070139 · NIAMS · HARVARD UNIVERSITY · PI CAPELLINI, TERENCE D · 2018 to 2022
$3.3M
NIAMS NIH HHS R01 AR070139
6 · The paper itself

Abstract

purpose of reviewThe goal of the review is to provide a comprehensive overview of the current understanding of the mechanisms underlying variation in human stature. RECENT

findingsHuman height is an anthropometric trait that varies considerably within human populations as well as across the globe. Historically, much research focus was placed on understanding the biology of growth plate chondrocytes and how modifications to core chondrocyte proliferation and differentiation pathways potentially shaped height attainment in normal as well as pathological contexts. Recently, much progress has been made to improve our understanding regarding the mechanisms underlying the normal and pathological range of height variation within as well as between human populations, and today, it is understood to reflect complex interactions among a myriad of genetic, environmental, and evolutionary factors. Indeed, recent improvements in genetics (e.g., GWAS) and breakthroughs in functional genomics (e.g., whole exome sequencing, DNA methylation analysis, ATAC-sequencing, and CRISPR) have shed light on previously unknown pathways/mechanisms governing pathological and common height variation. Additionally, the use of an evolutionary perspective has also revealed important mechanisms that have shaped height variation across the planet. This review provides an overview of the current knowledge of the biological mechanisms underlying height variation by highlighting new research findings on skeletal growth control with an emphasis on previously unknown pathways/mechanisms influencing pathological and common height variation. In this context, this review also discusses how evolutionary forces likely shaped the genomic architecture of height across the globe.

Indexed as

Biological EvolutionAnthropometryBody HeightGenome-Wide Association StudyHumansPhenotypeChondrocyteComplex traitsEnvironmentEvolutionGDF5Gene regulationGeneticsGWASHeightHeritabilityNatural selection

Identifiers

PMID31441021
PMCPMC6819265

What OpenQuestion holds

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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.