Evidence map›Paper›PMID 23102025›Full record

ArticleBMC bioinformatics2012

A quantitative genetic and epigenetic model of complex traits.

Zhong Wang, Zuoheng Wang, Jianxin Wang, Yihan Sui, Jian Zhang, Duanping Liao, Rongling Wu

Abstract read
In one paragraph

Article in BMC bioinformatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Mapping complex traits as a dynamic system.Physics of life reviews · 2015
    Review
  6. 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

7 authors.

Zhong WangSiyang Science and Technology Station, Yuanpeng Institute of Genome, Nantong, Jiangsu 226019, China.
Zuoheng Wang
Jianxin Wang
Yihan Sui
Jian Zhang
Duanping Liao
Rongling Wu

Funding

NCRR NIH HHS UL1RR0330184
6 · The paper itself

Abstract

backgroundDespite our increasing recognition of the mechanisms that specify and propagate epigenetic states of gene expression, the pattern of how epigenetic modifications contribute to the overall genetic variation of a phenotypic trait remains largely elusive.

resultsWe construct a quantitative model to explore the effect of epigenetic modifications that occur at specific rates on the genome. This model, derived from, but beyond, the traditional quantitative genetic theory that is founded on Mendel's laws, allows questions concerning the prevalence and importance of epigenetic variation to be incorporated and addressed.

conclusionsIt provides a new avenue for bringing chromatin inheritance into the realm of complex traits, facilitating our understanding of the means by which phenotypic variation is generated.

Indexed as

Computer SimulationEpigenesis, GeneticGenetic VariationModels, GeneticGenomeHumansMultifactorial Inheritance

Identifiers

PMID23102025
PMCPMC3577459

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.