Evidence map›Paper›PMID 30901552›Full record

ReviewCell2019

Global Genetic Networks and the Genotype-to-Phenotype Relationship.

Michael Costanzo, Elena Kuzmin, Jolanda van Leeuwen, Barbara Mair, Jason Moffat, Charles Boone, Brenda Andrews

Abstract readReview
In one paragraph

Review in Cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers.

0numbers the graph read from it
0cells of the map it votes in
136citing 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

136 citing papers in PubMed.

  1. The power of many: when genetics met yeasts and high-throughput.Biological reviews of the Cambridge Philosophical Society · 2026
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76 more citing papers are in PubMed but not listed here.

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.

Michael CostanzoThe Donnelly Centre, University of Toronto, 160 College Street, Toronto ON, Canada. Electronic address: michael.costanzo@utoronto.ca.
Elena KuzminGoodman Cancer Research Centre, McGill University, Montreal QC, Canada.
Jolanda van LeeuwenCenter for Integrative Genomics, Université de Lausanne, Switzerland.
Barbara MairThe Donnelly Centre, University of Toronto, 160 College Street, Toronto ON, Canada.
Jason MoffatThe Donnelly Centre, University of Toronto, 160 College Street, Toronto ON, Canada; Department of Molecular Genetics, University of Toronto, 1 Kings College Circle, Toronto ON, Canada.
Charles BooneThe Donnelly Centre, University of Toronto, 160 College Street, Toronto ON, Canada; Department of Molecular Genetics, University of Toronto, 1 Kings College Circle, Toronto ON, Canada. Electronic address: charlie.boone@utoronto.ca.
Brenda AndrewsThe Donnelly Centre, University of Toronto, 160 College Street, Toronto ON, Canada; Department of Molecular Genetics, University of Toronto, 1 Kings College Circle, Toronto ON, Canada. Electronic address: brenda.andrews@utoronto.ca.

Funding

Mapping the reference genetic network of a eukaryotic cellR01HG005853 · NHGRI · UNIVERSITY OF TORONTO · PI ANDREWS, BRENDA JEAN, BOONE, CHARLES · 2010 to 2025
$7.6M
CIHRNHGRI NIH HHS R01 HG005853
6 · The paper itself

Abstract

Genetic interactions identify combinations of genetic variants that impinge on phenotype. With whole-genome sequence information available for thousands of individuals within a species, a major outstanding issue concerns the interpretation of allelic combinations of genes underlying inherited traits. In this Review, we discuss how large-scale analyses in model systems have illuminated the general principles and phenotypic impact of genetic interactions. We focus on studies in budding yeast, including the mapping of a global genetic network. We emphasize how information gained from work in yeast translates to other systems, and how a global genetic network not only annotates gene function but also provides new insights into the genotype-to-phenotype relationship.

Indexed as

AllelesAnimalsGene FrequencyGene Regulatory NetworksGenetic Association StudiesGenetic VariationGenotypeHumansModels, GeneticPhenotypeQuantitative Trait LociSaccharomyces cerevisiae

Identifiers

PMID30901552
PMCPMC6817365

What OpenQuestion holds

Textmetadata
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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.