Evidence map›Paper›PMID 26975778›Full record

ArticleGenome research2016

An extended set of yeast-based functional assays accurately identifies human disease mutations.

Song Sun, Fan Yang, Guihong Tan, Michael Costanzo, Rose Oughtred, Jodi Hirschman, Chandra L Theesfeld, Pritpal Bansal, Nidhi Sahni, Song Yi and 9 more

Abstract read
In one paragraph

Article in Genome research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing 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

74 citing papers in PubMed.

  1. Tyrosine Supplementation Rescues a Growth Defect in a HumanizedInternational journal of molecular sciences · 2026
    Article
  2. Article
  3. Article
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  5. Article
  6. Special Issue: "Yeast as a Model System to Study Human Diseases".International journal of molecular sciences · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
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  14. Article
  15. Article
  16. Article
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  18. International journal of molecular sciences · 2023
    Review
  19. Article
  20. Review

14 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

19 authors.

Song SunDonnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 3E1, Canada; Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3E1, Canada; Lunenfeld-Tanenbaum Research Institute, Mt. Sinai Hospital, Toronto, Ontario M5G 1X5, Canada; Department of Medical Biochemistry and Microbiology, Uppsala University, SE-75123 Uppsala, Sweden;
Fan YangDonnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 3E1, Canada; Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3E1, Canada; Lunenfeld-Tanenbaum Research Institute, Mt. Sinai Hospital, Toronto, Ontario M5G 1X5, Canada;
Guihong TanDonnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 3E1, Canada;
Michael CostanzoDonnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 3E1, Canada;
Rose OughtredLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544, USA;
Jodi HirschmanLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544, USA;
Chandra L TheesfeldLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544, USA;
Pritpal BansalDonnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 3E1, Canada; Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3E1, Canada; Lunenfeld-Tanenbaum Research Institute, Mt. Sinai Hospital, Toronto, Ontario M5G 1X5, Canada;
Nidhi SahniCenter for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA; Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA;
Song YiCenter for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA; Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA;
Analyn YuDonnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 3E1, Canada; Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3E1, Canada; Lunenfeld-Tanenbaum Research Institute, Mt. Sinai Hospital, Toronto, Ontario M5G 1X5, Canada;
Tanya TyagiDonnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 3E1, Canada; Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3E1, Canada; Lunenfeld-Tanenbaum Research Institute, Mt. Sinai Hospital, Toronto, Ontario M5G 1X5, Canada;
Cathy TieLunenfeld-Tanenbaum Research Institute, Mt. Sinai Hospital, Toronto, Ontario M5G 1X5, Canada;
David E HillCenter for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA; Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA;
Marc VidalCenter for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA; Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA;
Brenda J AndrewsDonnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 3E1, Canada;
Charles BooneDonnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 3E1, Canada;
Kara DolinskiLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544, USA;
Frederick P RothDonnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 3E1, Canada; Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3E1, Canada; Lunenfeld-Tanenbaum Research Institute, Mt. Sinai Hospital, Toronto, Ontario M5G 1X5, Canada; Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA; Canadian Institute for Advanced Research, Toronto, Ontario, M5G 1Z8, Canada.

Funding

Genomic Analysis of Network Perturbations in Human DiseaseP50HG004233 · NHGRI · DANA-FARBER CANCER INST · PI VIDAL, MARC · 2007 to 2017
$31.6M
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
Systematic data curation and integration to link models of human diseaseR24OD011194 · OD · PRINCETON UNIVERSITY · PI DOLINSKI, KARA · 2012 to 2014
$1.9M
NHGRI NIH HHS P50 HG004233NHGRI NIH HHS R01 HG005853NHGRI NIH HHS U01 HG001715NHGRI NIH HHS U41 HG001715NIH HHS R24 OD011194
6 · The paper itself

Abstract

We can now routinely identify coding variants within individual human genomes. A pressing challenge is to determine which variants disrupt the function of disease-associated genes. Both experimental and computational methods exist to predict pathogenicity of human genetic variation. However, a systematic performance comparison between them has been lacking. Therefore, we developed and exploited a panel of 26 yeast-based functional complementation assays to measure the impact of 179 variants (101 disease- and 78 non-disease-associated variants) from 22 human disease genes. Using the resulting reference standard, we show that experimental functional assays in a 1-billion-year diverged model organism can identify pathogenic alleles with significantly higher precision and specificity than current computational methods.

Indexed as

Genetic Diseases, InbornSaccharomyces cerevisiaeTranscription, GeneticGenetic Complementation TestHumans

Identifiers

PMID26975778
PMCPMC4864455

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.