Evidence map›Paper›PMID 28542158›Full record

ArticlePLoS genetics2017

Identifying pathogenicity of human variants via paralog-based yeast complementation.

Fan Yang, Song Sun, Guihong Tan, Michael Costanzo, David E Hill, Marc Vidal, Brenda J Andrews, Charles Boone, Frederick P Roth

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 35 citations in OpenAlex.

  1. Functional Homology of WIPI4 and Atg18 EnablesInternational journal of molecular sciences · 2026
    Article
  2. The power of many: when genetics met yeasts and high-throughput.Biological reviews of the Cambridge Philosophical Society · 2026
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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

9 authors at 4 institutions in 3 countries.

Fan YangDonnelly Centre, Toronto, Ontario, Canada.
Song SunDonnelly Centre, Toronto, Ontario, Canada.
Guihong TanDonnelly Centre, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0001-7334-1154
Michael CostanzoDonnelly Centre, Toronto, Ontario, Canada.
David E HillCenter for Cancer Systems Biology (CCSB), Dana- Farber Cancer Institute, Boston, Massachusetts, United States of America.ORCID http://orcid.org/0000-0001-5192-0921
Marc VidalCenter for Cancer Systems Biology (CCSB), Dana- Farber Cancer Institute, Boston, Massachusetts, United States of America.
Brenda J AndrewsDonnelly Centre, Toronto, Ontario, Canada.
Charles BooneDonnelly Centre, Toronto, Ontario, Canada.
Frederick P RothDonnelly Centre, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-6628-649X
University of Toronto · CACanadian Institute for Advanced Research · CAHarvard University · USUppsala University · SE

Funding

Genomic Analysis of Network Perturbations in Human DiseaseP50HG004233 · NHGRI · DANA-FARBER CANCER INST · PI VIDAL, MARC · 2007 to 2017
$31.6M
The C. elegans Interactome ProjectR01HG001715 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI HILL, DAVID E., ROTH, FREDERICK P · 1998 to 2010
$16.5M
Mapping the reference genetic network of a eukaryotic cellR01HG005853 · NHGRI · UNIVERSITY OF TORONTO · PI ANDREWS, BRENDA JEAN, BOONE, CHARLES · 2010 to 2025
$7.6M
Mapping the first half of the REFERENCE human binary protein interactomeU01HG001715 · NHGRI · DANA-FARBER CANCER INST · PI HILL, DAVID E., ROTH, FREDERICK P · 2012 to 2014
$5.4M
Resource ProjectU41HG001715 · NHGRI · DANA-FARBER CANCER INST · PI HILL, DAVID E. · 2015 to 2017
$4.7M
NHGRI NIH HHS P50 HG004233NHGRI NIH HHS R01 HG001715NHGRI NIH HHS R01 HG005853NHGRI NIH HHS U01 HG001715NHGRI NIH HHS U41 HG001715
6 · The paper itself

Abstract

To better understand the health implications of personal genomes, we now face a largely unmet challenge to identify functional variants within disease-associated genes. Functional variants can be identified by trans-species complementation, e.g., by failure to rescue a yeast strain bearing a mutation in an orthologous human gene. Although orthologous complementation assays are powerful predictors of pathogenic variation, they are available for only a few percent of human disease genes. Here we systematically examine the question of whether complementation assays based on paralogy relationships can expand the number of human disease genes with functional variant detection assays. We tested over 1,000 paralogous human-yeast gene pairs for complementation, yielding 34 complementation relationships, of which 33 (97%) were novel. We found that paralog-based assays identified disease variants with success on par with that of orthology-based assays. Combining all homology-based assay results, we found that complementation can often identify pathogenic variants outside the homologous sequence region, presumably because of global effects on protein folding or stability. Within our search space, paralogy-based complementation more than doubled the number of human disease genes with a yeast-based complementation assay for disease variation.

Indexed as

Genes, FungalGenome, HumanSequence HomologyAllelesGenetic Complementation TestGenetic Diseases, InbornHumansYeasts

Identifiers

PMID28542158
PMCPMC5466341
OpenAlexW2617400454

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.