Evidence map›Paper›PMID 25281000›Full record

ArticleBMC evolutionary biology2014

Evolutionary profiling reveals the heterogeneous origins of classes of human disease genes: implications for modeling disease genetics in animals.

Evan K Maxwell, Christine E Schnitzler, Paul Havlak, Nicholas H Putnam, Anh-Dao Nguyen, R Travis Moreland, Andreas D Baxevanis

Open access · goldAbstract read
In one paragraph

Article in BMC evolutionary biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

29 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. A chromosome-level genome assembly for the colonial marine hydrozoanbioRxiv : the preprint server for biology · 2026
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  4. TheBioinformatics advances · 2025
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  5. GETdb: A comprehensive database for genetic and evolutionary features of drug targets.Computational and structural biotechnology journal · 2024
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  8. The genome of the colonial hydroidGenome research · 2024
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  9. Review
  10. Article
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  12. Review
  13. Environmental science & technology · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. The Evolutionary Traceability of a Protein.Genome biology and evolution · 2019
    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

7 authors at 2 institutions in 1 country.

Evan K MaxwellComputational and Statistical Genomics Branch, Division of Intramural Research, National Human Genome Research, National Institutes of Health, Bethesda, MD, 20892, USA. evan.maxwell@nih.gov.
Christine E SchnitzlerComputational and Statistical Genomics Branch, Division of Intramural Research, National Human Genome Research, National Institutes of Health, Bethesda, MD, 20892, USA. christine.schnitzler@nih.gov.
Paul HavlakDepartment of Ecology and Evolutionary Biology, Rice University, Houston, Texas, 77005, USA. phavlak@medicine.tamhsc.edu.
Nicholas H PutnamDepartment of Ecology and Evolutionary Biology, Rice University, Houston, Texas, 77005, USA. nputnam@gmail.com.
Anh-Dao NguyenComputational and Statistical Genomics Branch, Division of Intramural Research, National Human Genome Research, National Institutes of Health, Bethesda, MD, 20892, USA. nguyenan@mail.nih.gov.
R Travis MorelandComputational and Statistical Genomics Branch, Division of Intramural Research, National Human Genome Research, National Institutes of Health, Bethesda, MD, 20892, USA. travism@mail.nih.gov.
Andreas D BaxevanisComputational and Statistical Genomics Branch, Division of Intramural Research, National Human Genome Research, National Institutes of Health, Bethesda, MD, 20892, USA. andy@mail.nih.gov.
National Institutes of Health · USRice University · US

Funding

Phylogenomic Studies on the Evolution of Morphological ComplexityZIAHG000140 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI BAXEVANIS, ANDREAS · 2009 to 2025
$11.4M
6 · The paper itself

Abstract

backgroundThe recent expansion of whole-genome sequence data available from diverse animal lineages provides an opportunity to investigate the evolutionary origins of specific classes of human disease genes. Previous studies have observed that human disease genes are of particularly ancient origin. While this suggests that many animal species have the potential to serve as feasible models for research on genes responsible for human disease, it is unclear whether this pattern has meaningful implications and whether it prevails for every class of human disease.

resultsWe used a comparative genomics approach encompassing a broad phylogenetic range of animals with sequenced genomes to determine the evolutionary patterns exhibited by human genes associated with different classes of disease. Our results support previous claims that most human disease genes are of ancient origin but, more importantly, we also demonstrate that several specific disease classes have a significantly large proportion of genes that emerged relatively recently within the metazoans and/or vertebrates. An independent assessment of the synonymous to non-synonymous substitution rates of human disease genes found in mammals reveals that disease classes that arose more recently also display unexpected rates of purifying selection between their mammalian and human counterparts.

conclusionsOur results reveal the heterogeneity underlying the evolutionary origins of (and selective pressures on) different classes of human disease genes. For example, some disease gene classes appear to be of uncommonly recent (i.e., vertebrate-specific) origin and, as a whole, have been evolving at a faster rate within mammals than the majority of disease classes having more ancient origins. The novel patterns that we have identified may provide new insight into cases where studies using traditional animal models were unable to produce results that translated to humans. Conversely, we note that the larger set of disease classes do have ancient origins, suggesting that many non-traditional animal models have the potential to be useful for studying many human disease genes. Taken together, these findings emphasize why model organism selection should be done on a disease-by-disease basis, with evolutionary profiles in mind.

Indexed as

Biological EvolutionDisease Models, AnimalAnimalsDiseaseHumansModels, GeneticSpecies Specificity

Identifiers

PMID25281000
PMCPMC4219131
OpenAlexW1992041012

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LicenceCC BY
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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.