Literature DB >> 25200660

Detecting epistasis in human complex traits.

Wen-Hua Wei1, Gibran Hemani2, Chris S Haley3.   

Abstract

Genome-wide association studies (GWASs) have become the focus of the statistical analysis of complex traits in humans, successfully shedding light on several aspects of genetic architecture and biological aetiology. Single-nucleotide polymorphisms (SNPs) are usually modelled as having additive, cumulative and independent effects on the phenotype. Although evidently a useful approach, it is often argued that this is not a realistic biological model and that epistasis (that is, the statistical interaction between SNPs) should be included. The purpose of this Review is to summarize recent directions in methodology for detecting epistasis and to discuss evidence of the role of epistasis in human complex trait variation. We also discuss the relevance of epistasis in the context of GWASs and potential hazards in the interpretation of statistical interaction terms.

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Year:  2014        PMID: 25200660     DOI: 10.1038/nrg3747

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  157 in total

1.  Using biological knowledge to discover higher order interactions in genetic association studies.

Authors:  Gary K Chen; Duncan C Thomas
Journal:  Genet Epidemiol       Date:  2010-12       Impact factor: 2.135

2.  Interaction of insulin and PPAR-α genes in Alzheimer's disease: the Epistasis Project.

Authors:  Heike Kölsch; Donald J Lehmann; Carla A Ibrahim-Verbaas; Onofre Combarros; Cornelia M van Duijn; Naomi Hammond; Olivia Belbin; Mario Cortina-Borja; Michael G Lehmann; Yurii S Aulchenko; Maaike Schuur; Monique Breteler; Gordon K Wilcock; Kristelle Brown; Patrick G Kehoe; Rachel Barber; Eliecer Coto; Victoria Alvarez; Panos Deloukas; Ignacio Mateo; Wolfgang Maier; Kevin Morgan; Donald R Warden; A David Smith; Reinhard Heun
Journal:  J Neural Transm (Vienna)       Date:  2011-11-08       Impact factor: 3.575

3.  Heritability of Threshold Characters.

Authors:  E R Dempster; I M Lerner
Journal:  Genetics       Date:  1950-03       Impact factor: 4.562

4.  SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies.

Authors:  Can Yang; Zengyou He; Xiang Wan; Qiang Yang; Hong Xue; Weichuan Yu
Journal:  Bioinformatics       Date:  2008-12-19       Impact factor: 6.937

5.  Modelling of genetic interactions improves prediction of hybrid patterns--a case study in domestic fowl.

Authors:  José M Álvarez-Castro; Arnaud Le Rouzic; Leif Andersson; Paul B Siegel; Örjan Carlborg
Journal:  Genet Res (Camb)       Date:  2012-10       Impact factor: 1.588

6.  Gene-gene interaction filtering with ensemble of filters.

Authors:  Pengyi Yang; Joshua Wk Ho; Yee Hwa Yang; Bing B Zhou
Journal:  BMC Bioinformatics       Date:  2011-02-15       Impact factor: 3.169

7.  Functional epistasis on a common MHC haplotype associated with multiple sclerosis.

Authors:  Jon W Gregersen; Kamil R Kranc; Xiayi Ke; Pia Svendsen; Lars S Madsen; Allan Randrup Thomsen; Lon R Cardon; John I Bell; Lars Fugger
Journal:  Nature       Date:  2006-09-27       Impact factor: 49.962

8.  The dopamine β-hydroxylase -1021C/T polymorphism is associated with the risk of Alzheimer's disease in the Epistasis Project.

Authors:  Onofre Combarros; Donald R Warden; Naomi Hammond; Mario Cortina-Borja; Olivia Belbin; Michael G Lehmann; Gordon K Wilcock; Kristelle Brown; Patrick G Kehoe; Rachel Barber; Eliecer Coto; Victoria Alvarez; Panos Deloukas; Rhian Gwilliam; Reinhard Heun; Heike Kölsch; Ignacio Mateo; Abderrahim Oulhaj; Alejandro Arias-Vásquez; Maaike Schuur; Yurii S Aulchenko; M Arfan Ikram; Monique M Breteler; Cornelia M van Duijn; Kevin Morgan; A David Smith; Donald J Lehmann
Journal:  BMC Med Genet       Date:  2010-11-11       Impact factor: 2.103

9.  Variability in the heritability of body mass index: a systematic review and meta-regression.

Authors:  Cathy E Elks; Marcel den Hoed; Jing Hua Zhao; Stephen J Sharp; Nicholas J Wareham; Ruth J F Loos; Ken K Ong
Journal:  Front Endocrinol (Lausanne)       Date:  2012-02-28       Impact factor: 5.555

10.  Gene-gene interaction analysis for the survival phenotype based on the Cox model.

Authors:  Seungyeoun Lee; Min-Seok Kwon; Jung Mi Oh; Taesung Park
Journal:  Bioinformatics       Date:  2012-09-15       Impact factor: 6.937

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  154 in total

1.  Loss of function, missense, and intronic variants in NOTCH1 confer different risks for left ventricular outflow tract obstructive heart defects in two European cohorts.

Authors:  Emmi Helle; Aldo Córdova-Palomera; Tiina Ojala; Priyanka Saha; Praneetha Potiny; Stefan Gustafsson; Erik Ingelsson; Michael Bamshad; Deborah Nickerson; Jessica X Chong; Euan Ashley; James R Priest
Journal:  Genet Epidemiol       Date:  2018-12-04       Impact factor: 2.135

2.  An Efficient Genome-Wide Multilocus Epistasis Search.

Authors:  Hanni P Kärkkäinen; Zitong Li; Mikko J Sillanpää
Journal:  Genetics       Date:  2015-09-23       Impact factor: 4.562

Review 3.  Application of computational methods in genetic study of inflammatory bowel disease.

Authors:  Jin Li; Zhi Wei; Hakon Hakonarson
Journal:  World J Gastroenterol       Date:  2016-01-21       Impact factor: 5.742

Review 4.  Personalized Therapy of Hypertension: the Past and the Future.

Authors:  Paolo Manunta; Mara Ferrandi; Daniele Cusi; Patrizia Ferrari; Jan Staessen; Giuseppe Bianchi
Journal:  Curr Hypertens Rep       Date:  2016-03       Impact factor: 5.369

5.  Evidence for epistatic interaction between VDR and SLC13A2 genes in the pathogenesis of hypocitraturia in recurrent calcium oxalate stone formers.

Authors:  Domenico Rendina; Gianpaolo De Filippo; Fernando Gianfrancesco; Riccardo Muscariello; Michele Schiano di Cola; Pasquale Strazzullo; Teresa Esposito
Journal:  J Nephrol       Date:  2016-09-17       Impact factor: 3.902

6.  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 7.  Gene-Environment Interaction: A Variable Selection Perspective.

Authors:  Fei Zhou; Jie Ren; Xi Lu; Shuangge Ma; Cen Wu
Journal:  Methods Mol Biol       Date:  2021

8.  2016 Presidential Address: Let's Make Human Genetics Great (Again): The Importance of Beauty in Science.

Authors:  Harry C Dietz
Journal:  Am J Hum Genet       Date:  2017-03-02       Impact factor: 11.025

9.  Confronting the missing epistasis problem: on the reproducibility of gene-gene interactions.

Authors:  William Murk; Michael B Bracken; Andrew T DeWan
Journal:  Hum Genet       Date:  2015-05-22       Impact factor: 4.132

10.  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

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