Literature DB >> 19924703

The challenge of detecting epistasis (G x G interactions): Genetic Analysis Workshop 16.

Ping An1, Odity Mukherjee, Pritam Chanda, Li Yao, Corinne D Engelman, Chien-Hsun Huang, Tian Zheng, Ilija P Kovac, Marie-Pierre Dubé, Xueying Liang, Jia Li, Mariza de Andrade, Robert Culverhouse, Doerthe Malzahn, Alisa K Manning, Geraldine M Clarke, Jeesun Jung, Michael A Province.   

Abstract

Interest is increasing in epistasis as a possible source of the unexplained variance missed by genome-wide association studies. The Genetic Analysis Workshop 16 Group 9 participants evaluated a wide variety of classical and novel analytical methods for detecting epistasis, in both the statistical and machine learning paradigms, applied to both real and simulated data. Because the magnitude of epistasis is clearly relative to scale of penetrance, and therefore to some extent, to the choice of model framework, it is not surprising that strong interactions under one model might be minimized or even disappear entirely under a different modeling framework. (c) 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19924703      PMCID: PMC3692280          DOI: 10.1002/gepi.20474

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  29 in total

Review 1.  Detecting epistatic interactions contributing to quantitative traits.

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

2.  Powerful multilocus tests of genetic association in the presence of gene-gene and gene-environment interactions.

Authors:  Nilanjan Chatterjee; Zeynep Kalaylioglu; Roxana Moslehi; Ulrike Peters; Sholom Wacholder
Journal:  Am J Hum Genet       Date:  2006-10-20       Impact factor: 11.025

3.  Gene-environment interaction in genome-wide association studies.

Authors:  Cassandra E Murcray; Juan Pablo Lewinger; W James Gauderman
Journal:  Am J Epidemiol       Date:  2008-11-20       Impact factor: 4.897

4.  Who's afraid of epistasis?

Authors:  W N Frankel; N J Schork
Journal:  Nat Genet       Date:  1996-12       Impact factor: 38.330

5.  Incorporating biological knowledge in the search for gene x gene interaction in genome-wide association studies.

Authors:  Alisa K Manning; Julius Suh Ngwa; Audrey E Hendricks; Ching-Ti Liu; Andrew D Johnson; Josée Dupuis; L Adrienne Cupples
Journal:  BMC Proc       Date:  2009-12-15

6.  Power and false-positive rates for the restricted partition method (RPM) in a large candidate gene data set.

Authors:  Robert Culverhouse; Wu Jin; Carol H Jin; Anthony L Hinrichs; Brian K Suarez
Journal:  BMC Proc       Date:  2009-12-15

7.  A two-stage search strategy for detecting multiple loci associated with rheumatoid arthritis.

Authors:  Pritam Chanda; Aidong Zhang; Lara Sucheston; Murali Ramanathan
Journal:  BMC Proc       Date:  2009-12-15

8.  Classification tree for detection of single-nucleotide polymorphism (SNP)-by-SNP interactions related to heart disease: Framingham Heart Study.

Authors:  Li Yao; Wenjun Zhong; Zhumin Zhang; Matthew J Maenner; Corinne D Engelman
Journal:  BMC Proc       Date:  2009-12-15

9.  Genetics Analysis Workshop 16 Problem 2: the Framingham Heart Study data.

Authors:  L Adrienne Cupples; Nancy Heard-Costa; Monica Lee; Larry D Atwood
Journal:  BMC Proc       Date:  2009-12-15

10.  Tests for candidate-gene interaction for longitudinal quantitative traits measured in a large cohort.

Authors:  Dörthe Malzahn; Yesilda Balavarca; Jingky P Lozano; Heike Bickeböller
Journal:  BMC Proc       Date:  2009-12-15
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  12 in total

1.  A Case for Returning to Multiplex Families for Further Understanding the Heritability of Schizophrenia: A Psychiatrist's Perspective.

Authors:  Lynn E DeLisi
Journal:  Mol Neuropsychiatry       Date:  2016-01-08

2.  Association of genetic variation with gene expression and protein abundance within the natriuretic peptide pathway.

Authors:  David E Lanfear; Bipin Sunkara; Jia Li; Sharad Rastogi; Ramesh C Gupta; Badri Padhukasahasram; L Keoki Williams; Hani N Sabbah
Journal:  J Cardiovasc Transl Res       Date:  2013-07-09       Impact factor: 4.132

3.  Dissecting the genetic architecture of host-pathogen specificity.

Authors:  Louis Lambrechts
Journal:  PLoS Pathog       Date:  2010-08-05       Impact factor: 6.823

4.  Genome-wide association studies for discrete traits.

Authors:  Duncan C Thomas
Journal:  Genet Epidemiol       Date:  2009       Impact factor: 2.135

5.  Construction and analysis of single nucleotide polymorphism-single nucleotide polymorphism interaction networks.

Authors:  Yang Liu; Xutao Li; Zhiping Liu; Luonan Chen; Michael K Ng
Journal:  IET Syst Biol       Date:  2013-10       Impact factor: 1.615

6.  Simulating gene-gene and gene-environment interactions in complex diseases: Gene-Environment iNteraction Simulator 2.

Authors:  Michele Pinelli; Giovanni Scala; Roberto Amato; Sergio Cocozza; Gennaro Miele
Journal:  BMC Bioinformatics       Date:  2012-06-14       Impact factor: 3.169

7.  A novel statistic for genome-wide interaction analysis.

Authors:  Xuesen Wu; Hua Dong; Li Luo; Yun Zhu; Gang Peng; John D Reveille; Momiao Xiong
Journal:  PLoS Genet       Date:  2010-09-23       Impact factor: 5.917

8.  Systematic detection of epistatic interactions based on allele pair frequencies.

Authors:  Marit Ackermann; Andreas Beyer
Journal:  PLoS Genet       Date:  2012-02-09       Impact factor: 5.917

9.  Modeling haplotype-haplotype interactions in case-control genetic association studies.

Authors:  Li Zhang; Ruitao Liu; Zhong Wang; Daniel A Culver; Rongling Wu
Journal:  Front Genet       Date:  2012-01-18       Impact factor: 4.599

Review 10.  Detecting epistasis in human complex traits.

Authors:  Wen-Hua Wei; Gibran Hemani; Chris S Haley
Journal:  Nat Rev Genet       Date:  2014-09-09       Impact factor: 53.242

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