Literature DB >> 21441561

Travelling the world of gene-gene interactions.

Kristel Van Steen1.   

Abstract

Over the last few years, main effect genetic association analysis has proven to be a successful tool to unravel genetic risk components to a variety of complex diseases. In the quest for disease susceptibility factors and the search for the 'missing heritability', supplementary and complementary efforts have been undertaken. These include the inclusion of several genetic inheritance assumptions in model development, the consideration of different sources of information, and the acknowledgement of disease underlying pathways of networks. The search for epistasis or gene-gene interaction effects on traits of interest is marked by an exponential growth, not only in terms of methodological development, but also in terms of practical applications, translation of statistical epistasis to biological epistasis and integration of omics information sources. The current popularity of the field, as well as its attraction to interdisciplinary teams, each making valuable contributions with sometimes rather unique viewpoints, renders it impossible to give an exhaustive review of to-date available approaches for epistasis screening. The purpose of this work is to give a perspective view on a selection of currently active analysis strategies and concerns in the context of epistasis detection, and to provide an eye to the future of gene-gene interaction analysis.

Mesh:

Year:  2011        PMID: 21441561     DOI: 10.1093/bib/bbr012

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  69 in total

1.  Gene-Gene Interaction Among WNT Genes for Oral Cleft in Trios.

Authors:  Qing Li; Yoonhee Kim; Bhoom Suktitipat; Jacqueline B Hetmanski; Mary L Marazita; Priya Duggal; Terri H Beaty; Joan E Bailey-Wilson
Journal:  Genet Epidemiol       Date:  2015-02-06       Impact factor: 2.135

2.  EINVis: a visualization tool for analyzing and exploring genetic interactions in large-scale association studies.

Authors:  Yubao Wu; Xiaofeng Zhu; Jian Chen; Xiang Zhang
Journal:  Genet Epidemiol       Date:  2013-08-11       Impact factor: 2.135

3.  A cautionary note on the impact of protocol changes for genome-wide association SNP × SNP interaction studies: an example on ankylosing spondylitis.

Authors:  Kyrylo Bessonov; Elena S Gusareva; Kristel Van Steen
Journal:  Hum Genet       Date:  2015-05-05       Impact factor: 4.132

Review 4.  Animal models of gene-environment interaction in schizophrenia: A dimensional perspective.

Authors:  Yavuz Ayhan; Ross McFarland; Mikhail V Pletnikov
Journal:  Prog Neurobiol       Date:  2015-10-25       Impact factor: 11.685

5.  Serotonin transporter and receptor genes significantly impact nicotine dependence through genetic interactions in both European American and African American smokers.

Authors:  Zhongli Yang; Chamindi Seneviratne; Shaolin Wang; Jennie Z Ma; Thomas J Payne; Jundong Wang; Ming D Li
Journal:  Drug Alcohol Depend       Date:  2013-01-04       Impact factor: 4.492

6.  Identifying gene-gene interactions using penalized tensor regression.

Authors:  Mengyun Wu; Jian Huang; Shuangge Ma
Journal:  Stat Med       Date:  2017-10-16       Impact factor: 2.373

7.  Gene-Gene Interactions among SPRYs for Nonsyndromic Cleft Lip/Palate.

Authors:  R Zhou; M Wang; W Li; S Wang; Z Zhou; J Li; T Wu; H Zhu; T H Beaty
Journal:  J Dent Res       Date:  2018-10-01       Impact factor: 6.116

8.  An assessment of gene-by-gene interactions as a tool to unfold missing heritability in dyslexia.

Authors:  S Mascheretti; A Bureau; V Trezzi; R Giorda; C Marino
Journal:  Hum Genet       Date:  2015-04-28       Impact factor: 4.132

9.  A meta-analytic framework for detection of genetic interactions.

Authors:  Yulun Liu; Yong Chen; Paul Scheet
Journal:  Genet Epidemiol       Date:  2016-08-15       Impact factor: 2.135

10.  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

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