Literature DB >> 24448549

Systematic large-scale study of the inheritance mode of Mendelian disorders provides new insight into human diseasome.

Dapeng Hao1, Guangyu Wang2, Zuojing Yin1, Chuanxing Li3, Yan Cui1, Meng Zhou1.   

Abstract

One important piece of information about the human Mendelian disorders is the mode of inheritance. Recent studies of human genetic diseases on a large scale have provided many novel insights into the underlying molecular mechanisms. However, most successful analyses ignored the mode of inheritance of diseases, which severely limits our understanding of human disease mechanisms relating to the mode of inheritance at the large scale. Therefore, we here conducted a systematic large-scale study of the inheritance mode of Mendelian disorders, to bring new insight into human diseases. Our analyses include the comparison between dominant and recessive disease genes on both genomic and proteomic characteristics, Mendelian mutations, protein network properties and disease connections on both the genetic and the population levels. We found that dominant disease genes are more functionally central, topological central and more sensitive to disease outcome. On the basis of these findings, we suggested that dominant diseases should have higher genetic heterogeneity and should have more comprehensive connections with each other compared with recessive diseases, a prediction we confirm by disease network and disease comorbidity.

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Year:  2014        PMID: 24448549      PMCID: PMC4200425          DOI: 10.1038/ejhg.2013.309

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  41 in total

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Authors:  Ulrich Broeckel; Nicholas J Schork
Journal:  J Physiol       Date:  2004-01-01       Impact factor: 5.182

2.  Human housekeeping genes are compact.

Authors:  Eli Eisenberg; Erez Y Levanon
Journal:  Trends Genet       Date:  2003-07       Impact factor: 11.639

3.  iPfam: visualization of protein-protein interactions in PDB at domain and amino acid resolutions.

Authors:  Robert D Finn; Mhairi Marshall; Alex Bateman
Journal:  Bioinformatics       Date:  2004-09-07       Impact factor: 6.937

4.  The human disease network.

Authors:  Kwang-Il Goh; Michael E Cusick; David Valle; Barton Childs; Marc Vidal; Albert-László Barabási
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-14       Impact factor: 11.205

5.  Three-dimensional reconstruction of protein networks provides insight into human genetic disease.

Authors:  Xiujuan Wang; Xiaomu Wei; Bram Thijssen; Jishnu Das; Steven M Lipkin; Haiyuan Yu
Journal:  Nat Biotechnol       Date:  2012-01-15       Impact factor: 54.908

6.  Peeling the yeast protein network.

Authors:  Stefan Wuchty; Eivind Almaas
Journal:  Proteomics       Date:  2005-02       Impact factor: 3.984

7.  starBase: a database for exploring microRNA-mRNA interaction maps from Argonaute CLIP-Seq and Degradome-Seq data.

Authors:  Jian-Hua Yang; Jun-Hao Li; Peng Shao; Hui Zhou; Yue-Qin Chen; Liang-Hu Qu
Journal:  Nucleic Acids Res       Date:  2010-10-30       Impact factor: 16.971

8.  Differences in the evolutionary history of disease genes affected by dominant or recessive mutations.

Authors:  Simon J Furney; M Mar Albà; Núria López-Bigas
Journal:  BMC Genomics       Date:  2006-07-03       Impact factor: 3.969

9.  Identifying disease-specific genes based on their topological significance in protein networks.

Authors:  Zoltán Dezso; Yuri Nikolsky; Tatiana Nikolskaya; Jeremy Miller; David Cherba; Craig Webb; Andrej Bugrim
Journal:  BMC Syst Biol       Date:  2009-03-23

10.  The impact of cellular networks on disease comorbidity.

Authors:  Juyong Park; Deok-Sun Lee; Nicholas A Christakis; Albert-László Barabási
Journal:  Mol Syst Biol       Date:  2009-04-07       Impact factor: 11.429

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  2 in total

1.  Expression characteristics of FHIT, p53, BRCA2 and MLH1 in families with a history of oesophageal cancer in a region with a high incidence of oesophageal cancer.

Authors:  Zhiwei Chang; Weijie Zhang; Zhijun Chang; Min Song; Yanru Qin; Fubao Chang; Haiyun Guo; Qingli Wei
Journal:  Oncol Lett       Date:  2014-11-07       Impact factor: 2.967

2.  Uncovering disease mechanisms through network biology in the era of Next Generation Sequencing.

Authors:  Janet Piñero; Ariel Berenstein; Abel Gonzalez-Perez; Ariel Chernomoretz; Laura I Furlong
Journal:  Sci Rep       Date:  2016-04-15       Impact factor: 4.379

  2 in total

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