Literature DB >> 17681277

How similar are amino acid mutations in human genetic diseases and evolution.

Hao Wu1, Bin-Guang Ma, Ji-Tao Zhao, Hong-Yu Zhang.   

Abstract

Accumulating evidence indicates that some deleterious mutations responsible for genetic diseases may offer benefits for human to prevent other diseases. Therefore, human genetic diseases and evolution were tentatively regarded as the two sides of the same coin, which stimulated our interest to explore how similar are amino acid mutations in human genetic diseases and evolution. Through a large-scale analysis on amino acid mutation patterns of genetic diseases and evolution of Hominidae (Homo sapiens and Pan troglodytes), it was found that there exist significant correlations between two mutation patterns. Besides, there also exist some evident differences between both mutations, especially those associated with four amino acids C, G, R, and L. These findings are of significance to understanding the subtle connections between human genetic diseases and evolution.

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Year:  2007        PMID: 17681277     DOI: 10.1016/j.bbrc.2007.07.141

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  5 in total

Review 1.  Analysis and functional prediction of reactive cysteine residues.

Authors:  Stefano M Marino; Vadim N Gladyshev
Journal:  J Biol Chem       Date:  2011-12-06       Impact factor: 5.157

Review 2.  Redox Regulation via Glutaredoxin-1 and Protein S-Glutathionylation.

Authors:  Reiko Matsui; Beatriz Ferran; Albin Oh; Dominique Croteau; Di Shao; Jingyan Han; David Richard Pimentel; Markus Michael Bachschmid
Journal:  Antioxid Redox Signal       Date:  2020-01-23       Impact factor: 8.401

3.  Cysteine function governs its conservation and degeneration and restricts its utilization on protein surfaces.

Authors:  Stefano M Marino; Vadim N Gladyshev
Journal:  J Mol Biol       Date:  2010-10-13       Impact factor: 5.469

4.  Elucidating common structural features of human pathogenic variations using large-scale atomic-resolution protein networks.

Authors:  Jishnu Das; Hao Ran Lee; Adithya Sagar; Robert Fragoza; Jin Liang; Xiaomu Wei; Xiujuan Wang; Matthew Mort; Peter D Stenson; David N Cooper; Haiyuan Yu
Journal:  Hum Mutat       Date:  2014-04-07       Impact factor: 4.878

5.  Allelic Spectra of Risk SNPs Are Different for Environment/Lifestyle Dependent versus Independent Diseases.

Authors:  Ivan P Gorlov; Olga Y Gorlova; Christopher I Amos
Journal:  PLoS Genet       Date:  2015-07-22       Impact factor: 5.917

  5 in total

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