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Evolutionary profiling reveals the heterogeneous origins of classes of human disease genes: implications for modeling disease genetics in animals.
Maxwell, Evan K; Schnitzler, Christine E; Havlak, Paul; Putnam, Nicholas H; Nguyen, Anh-Dao; Moreland, R Travis; Baxevanis, Andreas D.
Afiliación
  • Maxwell EK; Computational and Statistical Genomics Branch, Division of Intramural Research, National Human Genome Research, National Institutes of Health, Bethesda, MD, 20892, USA. evan.maxwell@nih.gov.
  • Schnitzler CE; Bioinformatics Program, Boston University, Boston, MA, 02215, USA. evan.maxwell@nih.gov.
  • Havlak P; Computational and Statistical Genomics Branch, Division of Intramural Research, National Human Genome Research, National Institutes of Health, Bethesda, MD, 20892, USA. christine.schnitzler@nih.gov.
  • Putnam NH; Department of Ecology and Evolutionary Biology, Rice University, Houston, Texas, 77005, USA. phavlak@medicine.tamhsc.edu.
  • Nguyen AD; Biomedical Informatics Core, College of Medicine, Texas A&M Health Science Center, Houston, Texas, 77030, USA. phavlak@medicine.tamhsc.edu.
  • Moreland RT; Department of Ecology and Evolutionary Biology, Rice University, Houston, Texas, 77005, USA. nputnam@gmail.com.
  • Baxevanis AD; Computational and Statistical Genomics Branch, Division of Intramural Research, National Human Genome Research, National Institutes of Health, Bethesda, MD, 20892, USA. nguyenan@mail.nih.gov.
BMC Evol Biol ; 14: 212, 2014 Oct 04.
Article en En | MEDLINE | ID: mdl-25281000
BACKGROUND: The 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. RESULTS: We 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. CONCLUSIONS: Our 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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad / Modelos Animales de Enfermedad / Evolución Biológica Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: BMC Evol Biol Asunto de la revista: BIOLOGIA Año: 2014 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad / Modelos Animales de Enfermedad / Evolución Biológica Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: BMC Evol Biol Asunto de la revista: BIOLOGIA Año: 2014 Tipo del documento: Article País de afiliación: Estados Unidos
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