Evidence map›Paper›PMID 27148351›Full record

ArticleFrontiers in genetics2016

POEM: Identifying Joint Additive Effects on Regulatory Circuits.

Maya Botzman, Aharon Nachshon, Avital Brodt, Irit Gat-Viks

Abstract read
In one paragraph

Article in Frontiers in genetics, 2016. 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

4 authors.

Maya BotzmanDepartment of Cell Research and Immunology, The George S. Wise Faculty of Life Sciences, Tel Aviv University Tel Aviv, Israel.
Aharon NachshonDepartment of Cell Research and Immunology, The George S. Wise Faculty of Life Sciences, Tel Aviv University Tel Aviv, Israel.
Avital BrodtDepartment of Cell Research and Immunology, The George S. Wise Faculty of Life Sciences, Tel Aviv University Tel Aviv, Israel.
Irit Gat-ViksDepartment of Cell Research and Immunology, The George S. Wise Faculty of Life Sciences, Tel Aviv University Tel Aviv, Israel.

Funding

European Research Council 637885
6 · The paper itself

Abstract

motivationExpression Quantitative Trait Locus (eQTL) mapping tackles the problem of identifying variation in DNA sequence that have an effect on the transcriptional regulatory network. Major computational efforts are aimed at characterizing the joint effects of several eQTLs acting in concert to govern the expression of the same genes. Yet, progress toward a comprehensive prediction of such joint effects is limited. For example, existing eQTL methods commonly discover interacting loci affecting the expression levels of a module of co-regulated genes. Such "modularization" approaches, however, are focused on epistatic relations and thus have limited utility for the case of additive (non-epistatic) effects.

resultsHere we present POEM (Pairwise effect On Expression Modules), a methodology for identifying pairwise eQTL effects on gene modules. POEM is specifically designed to achieve high performance in the case of additive joint effects. We applied POEM to transcription profiles measured in bone marrow-derived dendritic cells across a population of genotyped mice. Our study reveals widespread additive, trans-acting pairwise effects on gene modules, characterizes their organizational principles, and highlights high-order interconnections between modules within the immune signaling network. These analyses elucidate the central role of additive pairwise effect in regulatory circuits, and provide computational tools for future investigations into the interplay between eQTLs. AVAILABILITY: The software described in this article is available at csgi.tau.ac.il/POEM/.

Indexed as

additive effectseQTLgene modulesimmune signaling networkpairwise effects

Identifiers

PMID27148351
PMCPMC4835676

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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.