Evidence map›Paper›PMID 20467476›Full record

ArticleJournal of biomedicine & biotechnology2010

Maternal-zygotic epistasis and the evolution of genetic diseases.

Nicholas K Priest, Michael J Wade

Open access · hybridAbstract read
In one paragraph

Article in Journal of biomedicine & biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Runaway coevolution: adaptation to heritable and nonheritable environments.Evolution; international journal of organic evolution · 2014
    Article
  2. Article
  3. Article
  4. Article
  5. Gene-gene interaction in maternal and perinatal research.Journal of biomedicine & biotechnology · 2010
    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 at 2 institutions in 2 countries.

Nicholas K PriestDepartment of Biology & Biochemistry, University of Bath, Bath BA27AY, UK.
Michael J Wade
Indiana University Bloomington · USUniversity of Bath · GB

Funding

Epistasis: its role in complex tratis, gene expression and speciationR01GM065414 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI DEMUTH, JEFFERY, WADE, MICHAEL J · 2003 to 2012
$3.1M
NIGMS NIH HHS 2-R01-GM065414-05A1NIGMS NIH HHS R01 GM065414
6 · The paper itself

Abstract

Many birth defects and genetic diseases are expressed in individuals that do not carry the disease causing alleles. Genetic diseases observed in offspring can be caused by gene expression in mothers and by interactions between gene expression in mothers and offspring. It is not clear whether the underlying pattern of gene expression (maternal versus offspring) affects the incidence of genetic disease. Here we develop a 2-locus population genetic model with epistatic interactions between a maternal gene and a zygotic gene to address this question. We show that maternal effect genes that affect disease susceptibility in offspring persist longer and at higher frequencies in a population than offspring genes with the same effects. We find that specific forms of maternal-zygotic epistasis can maintain disease causing alleles at high frequencies over a range of plausible values. Our findings suggest that the strength and form of epistasis and the underlying pattern of gene expression may greatly influence the prevalence of human genetic diseases.

Indexed as

Epistasis, GeneticGenetic Diseases, InbornGenetic Predisposition to DiseaseModels, GeneticAnimalsEvolution, MolecularHumansModels, StatisticalZygote

Identifiers

PMID20467476
PMCPMC2867001
OpenAlexW2016500821

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.