Evidence map›Paper›PMID 20590330›Full record

ArticleChaos (Woodbury, N.Y.)2010

Introduction to focus issue: genetic interactions.

Daniel Segrè, Christopher J Marx

Abstract read
In one paragraph

Article in Chaos (Woodbury, N.Y.), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Daniel SegrèDepartment of Biology, Boston University, Boston, Massachusetts 02215, USA.
Christopher J Marx

Funding

SciBay: A New Methodology for Scientific Collaboration and Gene Function DetermiRC2GM092602 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI KASIF, SIMON, ROBERTS, RICHARD J · 2009 to 2010
$4.0M
Systems-level physiological basis of selection and epistasis in adaptationR01GM078209 · NIGMS · HARVARD UNIVERSITY · PI MARX, CHRISTOPHER J · 2007 to 2011
$1.7M
NIGMS NIH HHS 1R01 GM078209NIGMS NIH HHS 1RC2GM092602-01NIGMS NIH HHS R01 GM078209NIGMS NIH HHS RC2 GM092602
6 · The paper itself

Abstract

The perturbation of a gene in an organism's genome often causes changes in the organism's observable properties or phenotypes. It is not obvious a priori whether the simultaneous perturbation of two genes produces a phenotypic change that is easily predictable from the changes caused by individual perturbations. In fact, this is often not the case: the nonlinearity and interdependence between genetic variants in determining phenotypes, also known as epistasis, is a prevalent phenomenon in biological systems. This focus issue presents recent developments in the study of epistasis and genetic interactions, emphasizing the broad implications of this phenomenon in evolutionary biology, functional genomics, and human diseases.

Indexed as

Epistasis, GeneticHumansModels, GeneticNonlinear Dynamics

Identifiers

PMID20590330
PMCPMC2909308

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.