Evidence map›Paper›PMID 24963031›Full record

ArticlePhysiological reports2014

Epigenetic heredity of human height.

Pasquale Simeone, Saverio Alberti

Open access · goldAbstract read
In one paragraph

Article in Physiological reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
6.6field-weighted citation impact, top 4% of its field
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

19 citing papers in PubMed, 41 citations in OpenAlex.

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  11. Pharmacogenetic and pharmacogenomic discovery strategies.Cancer drug resistance (Alhambra, Calif.) · 2019
    Review
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  13. Growth plate expression profiling: Large and small breed dogs provide new insights in endochondral bone formation.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2018
    Article
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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 at 1 institution in 1 country.

Pasquale SimeoneUnit of Cancer Pathology, Department of Neuroscience and Imaging and CeSI, University "G. d'Annunzio" Foundation, Chieti Scalo, Italy.
Saverio AlbertiUnit of Cancer Pathology, Department of Neuroscience and Imaging and CeSI, University "G. d'Annunzio" Foundation, Chieti Scalo, Italy.
University of Chieti-Pescara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide SNP analyses have identified genomic variants associated with adult human height. However, these only explain a fraction of human height variation, suggesting that significant information might have been systematically missed by SNP sequencing analysis. A candidate for such non-SNP-linked information is DNA methylation. Regulation by DNA methylation requires the presence of CpG islands in the promoter region of candidate genes. Seventy two of 87 (82.8%), height-associated genes were indeed found to contain CpG islands upstream of the transcription start site (USC CpG island searcher; validation: UCSC Genome Browser), which were shown to correlate with gene regulation. Consistent with this, DNA hypermethylation modules were detected in 42 height-associated genes, versus 1.5% of control genes (P = 8.0199e(-17)), as were dynamic methylation changes and gene imprinting. Epigenetic heredity thus appears to be a determinant of adult human height. Major findings in mouse models and in human genetic diseases support this model. Modulation of DNA methylation are candidate to mediate environmental influence on epigenetic traits. This may help to explain progressive height changes over multiple generations, through trans-generational heredity of progressive DNA methylation patterns.

Indexed as

BioinformaticsDNA methylationepigenetic regulationgenome‐wide association studiesmeta‐analysis

Identifiers

PMID24963031
PMCPMC4208652
OpenAlexW2038826578

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.