ArticleBMC evolutionary biology2014
Evolutionary profiling reveals the heterogeneous origins of classes of human disease genes: implications for modeling disease genetics in animals.
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.
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.
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.
Who cites it
29 citing papers in PubMed, 51 citations in OpenAlex.
- A chromosome-level reference genome for the colonial marine hydrozoan Podocoryna americana.G3 (Bethesda, Md.) · 2026Article
- A chromosome-level genome assembly for the colonial marine hydrozoanbioRxiv : the preprint server for biology · 2026Article
- Computational strategies for cross-species knowledge transfer.Nature methods · 2026Review
- TheBioinformatics advances · 2025Article
- GETdb: A comprehensive database for genetic and evolutionary features of drug targets.Computational and structural biotechnology journal · 2024Article
- Computational strategies for cross-species knowledge transfer and translational biomedicine.ArXiv · 2024Article
- An AI-generated proteome-scale dataset of predicted protein structures for the ctenophore Mnemiopsis leidyi.Proteomics · 2024Article
- The genome of the colonial hydroidGenome research · 2024Article
- The NIH Comparative Genomics Resource: addressing the promises and challenges of comparative genomics on human health.BMC genomics · 2023Review
- "Correcting" Gene Trees to be More Like Species Trees Frequently Increases Topological Error.Genome biology and evolution · 2023Article
- Pan-glioma analyses reveal species- and tumor-specific regulation of neuron-glioma synapse genes by lncRNAs.Frontiers in genetics · 2023Article
- Daphnia as a model organism to probe biological responses to nanomaterials-from individual to population effects via adverse outcome pathways.Frontiers in toxicology · 2023Review
- Review
- Toxicity by descent: A comparative approach for chemical hazard assessment.Environmental advances · 2022Article
- AniProtDB: A Collection of Consistently Generated Metazoan Proteomes for Comparative Genomics Studies.Molecular biology and evolution · 2021Article
- Maternal Responses and Adaptive Changes to Environmental Stress via Chronic Nanomaterial Exposure: Differences in Inter and Transgenerational Interclonal Broods ofInternational journal of molecular sciences · 2020Article
- Emerging Roles of RNA 3'-end Cleavage and Polyadenylation in Pathogenesis, Diagnosis and Therapy of Human Disorders.Biomolecules · 2020Review
- The Mnemiopsis Genome Project Portal: integrating new gene expression resources and improving data visualization.Database : the journal of biological databases and curation · 2020Article
- An evolutionary approach to recover genes predominantly expressed in the testes of the zebrafish, chicken and mouse.BMC evolutionary biology · 2019Article
- The Evolutionary Traceability of a Protein.Genome biology and evolution · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.