Evidence map›Paper›PMID 21565936›Full record

ArticleBriefings in bioinformatics2012

A computational framework for the inheritance pattern of genomic imprinting for complex traits.

Chenguang Wang, Zhong Wang, Daniel R Prows, Rongling Wu

Open access · bronzeAbstract read
In one paragraph

Article in Briefings in bioinformatics, 2012. 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
2.0field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Graph statistics theory of individualized quantitative genetics under haplotype-resolved genome assembly.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Mapping complex traits as a dynamic system.Physics of life reviews · 2015
    Review
  4. 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

4 authors at 2 institutions in 2 countries.

Chenguang WangOffice of Surveillance and Biometrics, Center for Devices and Radiological Health, Food and Drug Administration, USA.
Zhong Wang
Daniel R Prows
Rongling Wu
Dalian University of Technology · CNUniversity of Cincinnati · US

Funding

Genetic Analysis of Hyperoxia Induced Acute Lung InjuryR01HL075562 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI PROWS, DANIEL R · 2004 to 2012
$3.0M
NHLBI NIH HHS R01 HL075562NIGMS NIH HHS GM-0540745
6 · The paper itself

Abstract

Genetic imprinting, by which the expression of a gene depends on the parental origin of its alleles, may be subjected to reprogramming through each generation. Currently, such reprogramming is limited to qualitative description only, lacking more precise quantitative estimation for its extent, pattern and mechanism. Here, we present a computational framework for analyzing the magnitude of genetic imprinting and its transgenerational inheritance mode. This quantitative model is based on the breeding scheme of reciprocal backcrosses between reciprocal F(1) hybrids and original inbred parents, in which the transmission of genetic imprinting across generations can be tracked. We define a series of quantitative genetic parameters that describe the extent and transmission mode of genetic imprinting and further estimate and test these parameters within a genetic mapping framework using a new powerful computational algorithm. The model and algorithm described will enable geneticists to identify and map imprinted quantitative trait loci and dictate a comprehensive atlas of developmental and epigenetic mechanisms related to genetic imprinting. We illustrate the new discovery of the role of genetic imprinting in regulating hyperoxic acute lung injury survival time using a mouse reciprocal backcross design.

Indexed as

Computer SimulationGenomic ImprintingInheritance PatternsAnimalsBreedingCrosses, GeneticEpigenesis, GeneticGenotypeMiceQuantitative Trait Loci

Identifiers

PMID21565936
PMCPMC3278998
OpenAlexW2139839130

What OpenQuestion holds

Textmetadata
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.