Literature DB >> 18206267

Epistasis in sporadic Alzheimer's disease.

Onofre Combarros1, Mario Cortina-Borja, A David Smith, Donald J Lehmann.   

Abstract

The traditional approach in case-control association studies, to evaluate candidate genes individually, either single markers or haplotypes, has had limited success. The multifactorial nature of complex diseases suggests the alternative of examining gene-gene interactions (epistasis) within biological networks. We have used synergy factor analysis to assess over 100 claims of epistasis in sporadic Alzheimer's disease (AD), in networks involving, e.g. cholesterol, beta-amyloid, inflammation and oxidative stress. We found 27 gene-gene interactions that were significantly associated with AD. In most of these the main effect of one of the genes was so small that it would probably have been missed by the traditional locus-by-locus approach. There are questions, however, about the quality of replication studies: about sample sizes, about homogeneity, characterization and matching of sample sets, and about the statistical methods commonly used to assess interactions. Meta-analyses could now be conducted of the four interactions that have been sufficiently replicated, all involving APOE4: ACT -17AA; BACE1 exon5 GG; IL6 -174C; BCHE K. Only that between BACE1 exon5 GG and APOE4 has so far been consistently replicated. We conclude that epistasis is a crucial feature of complex diseases, that its study is a promising approach to the genetics of AD and that larger and more rigorous studies are needed to establish interactions.

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Year:  2008        PMID: 18206267     DOI: 10.1016/j.neurobiolaging.2007.11.027

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  47 in total

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Authors:  Subrata Pramanik; Yanuar Alan Sulistio; Klaus Heese
Journal:  Mol Neurobiol       Date:  2016-11-05       Impact factor: 5.590

5.  Something old and something new: wedding recombinant inbred lines with traditional line cross analysis increases power to describe gene interactions.

Authors:  Tarek W Elnaccash; Stephen J Tonsor
Journal:  PLoS One       Date:  2010-04-16       Impact factor: 3.240

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Journal:  Mol Neurobiol       Date:  2018-01       Impact factor: 5.590

7.  Cuckoo search epistasis: a new method for exploring significant genetic interactions.

Authors:  M Aflakparast; H Salimi; A Gerami; M-P Dubé; S Visweswaran; A Masoudi-Nejad
Journal:  Heredity (Edinb)       Date:  2014-02-19       Impact factor: 3.821

8.  Molecular profiling reveals diversity of stress signal transduction cascades in highly penetrant Alzheimer's disease human skin fibroblasts.

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Journal:  PLoS One       Date:  2009-02-27       Impact factor: 3.240

9.  Replication by the Epistasis Project of the interaction between the genes for IL-6 and IL-10 in the risk of Alzheimer's disease.

Authors:  Onofre Combarros; Cornelia M van Duijn; Naomi Hammond; Olivia Belbin; Alejandro Arias-Vásquez; Mario Cortina-Borja; Michael G Lehmann; Yurii S Aulchenko; Maaike Schuur; Heike Kölsch; Reinhard Heun; Gordon K Wilcock; Kristelle Brown; Patrick G Kehoe; Rachel Harrison; Eliecer Coto; Victoria Alvarez; Panos Deloukas; Ignacio Mateo; Rhian Gwilliam; Kevin Morgan; Donald R Warden; A David Smith; Donald J Lehmann
Journal:  J Neuroinflammation       Date:  2009-08-23       Impact factor: 8.322

10.  The synergy factor: a statistic to measure interactions in complex diseases.

Authors:  Mario Cortina-Borja; A David Smith; Onofre Combarros; Donald J Lehmann
Journal:  BMC Res Notes       Date:  2009-06-15
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