Literature DB >> 9148788

Partitioning of genetic variation between regulatory and coding gene segments: the predominance of software variation in genes encoding introvert proteins.

A Mitchison1.   

Abstract

In considering genetic variation in eukaryotes, a fundamental distinction can be made between variation in regulatory (software) and coding (hardware) gene segments. For quantitative traits the bulk of variation, particularly that near the population mean, appears to reside in regulatory segments. The main exceptions to this rule concern proteins which handle extrinsic substances, here termed extrovert proteins. The immune system includes an unusually large proportion of this exceptional category, but even so its chief source of variation may well be polymorphism in regulatory gene segments. The main evidence for this view emerges from genome scanning for quantitative trait loci (QTL), which in the case of the immune system points to a major contribution of pro-inflammatory cytokine genes. Further support comes from sequencing of major histocompatibility complex (Mhc) class II promoters, where a high level of polymorphism has been detected. These Mhc promoters appear to act, in part at least, by gating the back-signal from T cells into antigen-presenting cells. Both these forms of polymorphism are likely to be sustained by the need for flexibility in the immune response. Future work on promoter polymorphism is likely to benefit from the input from genome informatics.

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Year:  1997        PMID: 9148788     DOI: 10.1007/s002510050241

Source DB:  PubMed          Journal:  Immunogenetics        ISSN: 0093-7711            Impact factor:   2.846


  10 in total

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Authors:  N A Mitchison; D Schuhbauer; B Müller
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Authors:  Matthew V Rockman; David L Stern
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Review 3.  Common Polymorphisms in the Age of Research Domain Criteria (RDoC): Integration and Translation.

Authors:  Charles E Glatt; Francis S Lee
Journal:  Biol Psychiatry       Date:  2015-01-08       Impact factor: 13.382

4.  The QTN program and the alleles that matter for evolution: all that's gold does not glitter.

Authors:  Matthew V Rockman
Journal:  Evolution       Date:  2011-11-06       Impact factor: 3.694

5.  Gene expression differences in mice divergently selected for methamphetamine sensitivity.

Authors:  Abraham A Palmer; Miguel Verbitsky; Rathi Suresh; Helen M Kamens; Cheryl L Reed; Na Li; Sue Burkhart-Kasch; Carrie S McKinnon; John K Belknap; T Conrad Gilliam; Tamara J Phillips
Journal:  Mamm Genome       Date:  2005-05       Impact factor: 2.957

Review 6.  Modulating the Th1/Th2 balance in inflammatory arthritis.

Authors:  B Müller; U Gimsa; N A Mitchison; A Radbruch; J Sieper; Z Yin
Journal:  Springer Semin Immunopathol       Date:  1998

7.  Interleukin 10 secretion in relation to human IL-10 locus haplotypes.

Authors:  J Eskdale; G Gallagher; C L Verweij; V Keijsers; R G Westendorp; T W Huizinga
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Review 8.  Antibody-induced arthritis: disease mechanisms and genes involved at the effector phase of arthritis.

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Journal:  Arthritis Res Ther       Date:  2006       Impact factor: 5.156

9.  Polymorphism in regulatory gene sequences.

Authors:  N A Mitchison
Journal:  Genome Biol       Date:  2000-12-20       Impact factor: 13.583

10.  Identification and utilization of arbitrary correlations in models of recombination signal sequences.

Authors:  Lindsay G Cowell; Marco Davila; Thomas B Kepler; Garnett Kelsoe
Journal:  Genome Biol       Date:  2002-11-21       Impact factor: 13.583

  10 in total

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