4.3 Review

Gene Clusters, Molecular Evolution and Disease: A Speculation

Journal

CURRENT GENOMICS
Volume 10, Issue 1, Pages 64-75

Publisher

BENTHAM SCIENCE PUBL LTD
DOI: 10.2174/138920209787581271

Keywords

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Funding

  1. Ruth L. Kirschstein National Research Service Award
  2. March of Dimes
  3. Gillson Longenbaugh Foundation
  4. Dana Foundation
  5. New Development Award, Microscopy, and Administrative Cores of the Mental Retardation and Developmental Disabilities Research Center at Baylor College of Medicine
  6. Burroughs Wellcome Foundation
  7. National Institute of Diabetes, Digestive, and Kidney Diseases, NIH
  8. Association Autour D'Emeric et D'Anthony

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Traditionally eukaryotic genes are considered independently expressed under the control of their promoters and cis-regulatory domains. However, recent studies in worms, flies, mice and humans have shown that genes co-habiting a chromatin domain or genomic neighborhood are frequently co-expressed. Often these co-expressed genes neither constitute part of an operon nor function within the same biological pathway. The mechanisms underlying the partitioning of the genome into transcriptional genomic neighborhoods are poorly defined. However, cross-species analyses find that the linkage among the co-expressed genes of these clusters is significantly conserved and that the expression patterns of genes within clusters have coevolved with the clusters. Such selection could be mediated by chromatin interactions with the nuclear matrix and long-range remodeling of chromatin structure. In the context of human disease, we propose that dysregulation of gene expression across genomic neighborhoods will cause highly pleiotropic diseases. Candidate genomic neighborhood diseases include the nuclear laminopathies, chromosomal translocations and genomic instability disorders, imprinting disorders of errant insulator function, syndromes from impaired cohesin complex assembly, as well as diseases of global covalent histone modifications and DNA methylation. The alteration of transcriptional genomic neighborhoods provides an exciting and novel model for studying epigenetic alterations as quantitative traits in complex common human diseases.

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