Literature DB >> 21735376

Analysis of gene-gene interactions.

Diane Gilbert-Diamond1, Jason H Moore.   

Abstract

The goal of this unit is to introduce gene-gene interactions (epistasis) as a significant complicating factor in the search for disease susceptibility genes. This unit begins with an overview of gene-gene interactions and why they are likely to be common. Then, it reviews several statistical and computational methods for detecting and characterizing genes with effects that are dependent on other genes. The focus of this unit is genetic association studies of discrete and quantitative traits because most of the methods for detecting gene-gene interactions have been developed specifically for these study designs.
© 2011 by John Wiley & Sons, Inc.

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Year:  2011        PMID： 21735376      PMCID： PMC4086055          DOI： 10.1002/0471142905.hg0114s70

Source DB:  PubMed          Journal:  Curr Protoc Hum Genet        ISSN： 1934-8258


  78 in total

1.  Selecting SNPs in two-stage analysis of disease association data: a model-free approach.

Authors:  J Hoh; A Wille; R Zee; S Cheng; R Reynolds; K Lindpaintner; J Ott
Journal:  Ann Hum Genet       Date:  2000-09       Impact factor: 1.670

Review 2.  Detecting epistatic interactions contributing to quantitative traits.

Authors:  Robert Culverhouse; Tsvika Klein; William Shannon
Journal:  Genet Epidemiol       Date:  2004-09       Impact factor: 2.135

3.  STUDENTJAMA. The challenges of whole-genome approaches to common diseases.

Authors:  Jason H Moore; Marylyn D Ritchie
Journal:  JAMA       Date:  2004-04-07       Impact factor: 56.272

4.  A global view of epistasis.

Authors:  Jason H Moore
Journal:  Nat Genet       Date:  2005-01       Impact factor: 38.330

Review 5.  Genome-wide association studies for common diseases and complex traits.

Authors:  Joel N Hirschhorn; Mark J Daly
Journal:  Nat Rev Genet       Date:  2005-02       Impact factor: 53.242

6.  A balanced accuracy function for epistasis modeling in imbalanced datasets using multifactor dimensionality reduction.

Authors:  Digna R Velez; Bill C White; Alison A Motsinger; William S Bush; Marylyn D Ritchie; Scott M Williams; Jason H Moore
Journal:  Genet Epidemiol       Date:  2007-05       Impact factor: 2.135

7.  INTERSNP: genome-wide interaction analysis guided by a priori information.

Authors:  Christine Herold; Michael Steffens; Felix F Brockschmidt; Max P Baur; Tim Becker
Journal:  Bioinformatics       Date:  2009-10-16       Impact factor: 6.937

8.  Analysis of the high affinity IgE receptor genes reveals epistatic effects of FCER1A variants on eczema risk.

Authors:  J M Mahachie John; H Baurecht; E Rodríguez; A Naumann; S Wagenpfeil; N Klopp; M Mempel; N Novak; T Bieber; H-E Wichmann; J Ring; T Illig; T Cattaert; K Van Steen; S Weidinger
Journal:  Allergy       Date:  2009-12-21       Impact factor: 13.146

9.  A computationally efficient hypothesis testing method for epistasis analysis using multifactor dimensionality reduction.

Authors:  Kristine A Pattin; Bill C White; Nate Barney; Jiang Gui; Heather H Nelson; Karl T Kelsey; Angeline S Andrew; Margaret R Karagas; Jason H Moore
Journal:  Genet Epidemiol       Date:  2009-01       Impact factor: 2.135

10.  FAM-MDR: a flexible family-based multifactor dimensionality reduction technique to detect epistasis using related individuals.

Authors:  Tom Cattaert; Víctor Urrea; Adam C Naj; Lizzy De Lobel; Vanessa De Wit; Mao Fu; Jestinah M Mahachie John; Haiqing Shen; M Luz Calle; Marylyn D Ritchie; Todd L Edwards; Kristel Van Steen
Journal:  PLoS One       Date:  2010-04-22       Impact factor: 3.240
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  16 in total

1.  The role of FAS, FAS-L, BAX, and BCL-2 gene polymorphisms in determining susceptibility to unexplained recurrent pregnancy loss.

Authors:  Rafael Tomoya Michita; Francis Maria Báo Zambra; Lucas Rosa Fraga; Maria Teresa Sanseverino; Lavínia Schuler-Faccini; José Artur Bogo Chies; Priscila Vianna
Journal:  J Assist Reprod Genet       Date:  2019-04-02       Impact factor: 3.412

2.  Penetrance of Polygenic Obesity Susceptibility Loci across the Body Mass Index Distribution.

Authors:  Arkan Abadi; Akram Alyass; Sebastien Robiou du Pont; Ben Bolker; Pardeep Singh; Viswanathan Mohan; Rafael Diaz; James C Engert; Salim Yusuf; Hertzel C Gerstein; Sonia S Anand; David Meyre
Journal:  Am J Hum Genet       Date:  2017-12-07       Impact factor: 11.025

3.  The juxtaparanodal proteins CNTNAP2 and TAG1 regulate diet-induced obesity.

Authors:  David A Buchner; Jon M Geisinger; Patricia A Glazebrook; Michael G Morgan; Sabrina H Spiezio; Karl J Kaiyala; Michael W Schwartz; Takeshi Sakurai; Andrew J Furley; Diana L Kunze; Colleen M Croniger; Joseph H Nadeau
Journal:  Mamm Genome       Date:  2012-07-01       Impact factor: 2.957

4.  Scrutinizing Deleterious Nonsynonymous SNPs and Their Effect on Human POLD1 Gene.

Authors:  Md Nazmul Islam Bappy; Anindita Roy; Md Gulam Rabbany Rabbi; Nusrat Jahan; Fahmida Akther Chowdhury; Syeda Farjana Hoque; Emran Hossain Sajib; Parvez Khan; Ferdaus Mohd Altaf Hossain; Kazi Md Ali Zinnah
Journal:  Genet Res (Camb)       Date:  2022-05-11       Impact factor: 1.375

5.  Failure to detect synergy between variants in transferrin and hemochromatosis and Alzheimer's disease in large cohort.

Authors:  Elizabeth Vance; Josue D Gonzalez Murcia; Justin B Miller; Lyndsay Staley; Paul K Crane; Shubhabrata Mukherjee; John S K Kauwe
Journal:  Neurobiol Aging       Date:  2020-02-12       Impact factor: 4.673

6.  High performance computing enabling exhaustive analysis of higher order single nucleotide polymorphism interaction in Genome Wide Association Studies.

Authors:  Benjamin Goudey; Mani Abedini; John L Hopper; Michael Inouye; Enes Makalic; Daniel F Schmidt; John Wagner; Zeyu Zhou; Justin Zobel; Matthias Reumann
Journal:  Health Inf Sci Syst       Date:  2015-02-24

7.  An autoregressive logistic model to predict the reciprocal effects of oviductal fluid components on in vitro spermophagy by neutrophils in cattle.

Authors:  Rasoul Kowsar; Behrooz Keshtegar; Mohamed A Marey; Akio Miyamoto
Journal:  Sci Rep       Date:  2017-06-30       Impact factor: 4.379

8.  An Analytic Approach Using Candidate Gene Selection and Logic Forest to Identify Gene by Environment Interactions (G × E) for Systemic Lupus Erythematosus in African Americans.

Authors:  Bethany J Wolf; Paula S Ramos; J Madison Hyer; Viswanathan Ramakrishnan; Gary S Gilkeson; Gary Hardiman; Paul J Nietert; Diane L Kamen
Journal:  Genes (Basel)       Date:  2018-10-15       Impact factor: 4.096

9.  Multilocus genotypes of relevance for drug metabolizing enzymes and therapy with thiopurines in patients with acute lymphoblastic leukemia.

Authors:  Gabriele Stocco; Raffaella Franca; Federico Verzegnassi; Margherita Londero; Marco Rabusin; Giuliana Decorti
Journal:  Front Genet       Date:  2013-01-07       Impact factor: 4.599

10.  PACSIN2 polymorphism is associated with thiopurine-induced hematological toxicity in children with acute lymphoblastic leukaemia undergoing maintenance therapy.

Authors:  Alenka Smid; Natasa Karas-Kuzelicki; Janez Jazbec; Irena Mlinaric-Rascan
Journal:  Sci Rep       Date:  2016-07-25       Impact factor: 4.379
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