Evidence map›Paper›PMID 24861622›Full record

ArticleNucleic acids research2014

MORPHIN: a web tool for human disease research by projecting model organism biology onto a human integrated gene network.

Sohyun Hwang, Eiru Kim, Sunmo Yang, Edward M Marcotte, Insuk Lee

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. OMAMO: orthology-based alternative model organism selection.Bioinformatics (Oxford, England) · 2022
    Pooled it
  2. Article
  3. Article
  4. Article
  5. The Human Phenotype Ontology in 2017.Nucleic acids research · 2017
    Review
  6. Article
  7. Applications of comparative evolution to human disease genetics.Current opinion in genetics & development · 2015
    Review
  8. Article
  9. Article
  10. 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

5 authors.

Sohyun HwangDepartment of Biotechnology, Yonsei University, Seoul, 120-749, Korea Center for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, University of Texas at Austin, TX 78712, USA.
Eiru KimDepartment of Biotechnology, Yonsei University, Seoul, 120-749, Korea.
Sunmo YangDepartment of Biotechnology, Yonsei University, Seoul, 120-749, Korea.
Edward M MarcotteCenter for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, University of Texas at Austin, TX 78712, USA insuklee@yonsei.ac.kr.
Insuk LeeDepartment of Biotechnology, Yonsei University, Seoul, 120-749, Korea insuklee@yonsei.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite recent advances in human genetics, model organisms are indispensable for human disease research. Most human disease pathways are evolutionally conserved among other species, where they may phenocopy the human condition or be associated with seemingly unrelated phenotypes. Much of the known gene-to-phenotype association information is distributed across diverse databases, growing rapidly due to new experimental techniques. Accessible bioinformatics tools will therefore facilitate translation of discoveries from model organisms into human disease biology. Here, we present a web-based discovery tool for human disease studies, MORPHIN (model organisms projected on a human integrated gene network), which prioritizes the most relevant human diseases for a given set of model organism genes, potentially highlighting new model systems for human diseases and providing context to model organism studies. Conceptually, MORPHIN investigates human diseases by an orthology-based projection of a set of model organism genes onto a genome-scale human gene network. MORPHIN then prioritizes human diseases by relevance to the projected model organism genes using two distinct methods: a conventional overlap-based gene set enrichment analysis and a network-based measure of closeness between the query and disease gene sets capable of detecting associations undetectable by the conventional overlap-based methods. MORPHIN is freely accessible at http://www.inetbio.org/morphin.

Indexed as

Gene Regulatory NetworksSoftwareAnimalsCaenorhabditis elegansDiseaseHumansInternetMiceModels, AnimalPhenotypeRats

Identifiers

PMID24861622
PMCPMC4086117

What OpenQuestion holds

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Registered trials

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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.