Evidence map›Paper›PMID 30346941›Full record

ArticleNature biotechnology2018

An integrative tissue-network approach to identify and test human disease genes.

Victoria Yao, Rachel Kaletsky, William Keyes, Danielle E Mor, Aaron K Wong, Salman Sohrabi, Coleen T Murphy, Olga G Troyanskaya

Open access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
3.9field-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

33 citing papers in PubMed, 71 citations in OpenAlex.

  1. Article
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  8. Lab on a chip · 2023
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  10. Review
  11. Neuroimmunometabolism: A New Pathological Nexus Underlying Neurodegenerative Disorders.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. Genome-wide screen identifies curli amyloid fibril as a bacterial component promoting host neurodegeneration.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  20. 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

8 authors at 2 institutions in 1 country.

Victoria YaoDepartment of Computer Science, Princeton University, Princeton, New Jersey, USA.ORCID http://orcid.org/0000-0002-3201-9983
Rachel KaletskyLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA.
William KeyesLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA.
Danielle E MorLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA.
Aaron K WongFlatiron Institute, Simons Foundation, New York, New York, USA.ORCID http://orcid.org/0000-0002-7294-0646
Salman SohrabiLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA.
Coleen T MurphyLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA.
Olga G TroyanskayaDepartment of Computer Science, Princeton University, Princeton, New Jersey, USA.
Princeton University · USSimons Foundation · US

Funding

Quantitavie and Computational Biology Graduate ProgramT32HG003284 · NHGRI · PRINCETON UNIVERSITY · PI Joshua Michael Akey, Stanislav Y. Shvartsman · 2004 to 2026
$9.9M
lntegration and Visualization of Diverse Biological DataR01GM071966 · NIGMS · PRINCETON UNIVERSITY · PI TROYANSKAYA, OLGA G · 2005 to 2022
$6.4M
Toward the Tissue-ome: A Map of the C. elegans Cell-specific TranscriptomeDP1GM119167 · NIGMS · PRINCETON UNIVERSITY · PI MURPHY, COLEEN TARA · 2015 to 2019
$4.0M
Molecular Mechanisms Regulating Age-Related Cognitive Decline in C. elegansR01AG034446 · NIA · PRINCETON UNIVERSITY · PI MURPHY, COLEEN TARA · 2009 to 2019
$3.1M
NHGRI NIH HHS T32 HG003284NIA NIH HHS R01 AG034446NIGMS NIH HHS DP1 GM119167NIGMS NIH HHS R01 GM071966
6 · The paper itself

Abstract

Effective discovery of causal disease genes must overcome the statistical challenges of quantitative genetics studies and the practical limitations of human biology experiments. Here we developed diseaseQUEST, an integrative approach that combines data from human genome-wide disease studies with in silico network models of tissue- and cell-type-specific function in model organisms to prioritize candidates within functionally conserved processes and pathways. We used diseaseQUEST to predict candidate genes for 25 different diseases and traits, including cancer, longevity, and neurodegenerative diseases. Focusing on Parkinson's disease (PD), a diseaseQUEST-directed Caenhorhabditis elegans behavioral screen identified several candidate genes, which we experimentally verified and found to be associated with age-dependent motility defects mirroring PD clinical symptoms. Furthermore, knockdown of the top candidate gene, bcat-1, encoding a branched chain amino acid transferase, caused spasm-like 'curling' and neurodegeneration in C. elegans, paralleling decreased BCAT1 expression in PD patient brains. diseaseQUEST is modular and generalizable to other model organisms and human diseases of interest.

Identifiers

PMID30346941
PMCPMC7021177
OpenAlexW2897771749

What OpenQuestion holds

Textmetadata
LicenceTDM
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.