Literature DB >> 25998948

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

William Murk1, Michael B Bracken, Andrew T DeWan.   

Abstract

Epistasis (gene-gene interaction) is thought to play an integral role in the genetic basis of complex traits, and a significant amount of research has been invested into identifying this phenomenon in human disease. However, the overall success of empirical studies of epistasis in humans is unclear, as such studies are rarely systematically evaluated. Here, we have selected asthma as an example of a well-studied, complex human disease, and provide a critical analysis and replication attempt of nearly all prior reports of epistasis for this disease. Of 191 previously reported interactions, we find that 39.8% were not originally identified using an explicit test for interaction and thus may not have been true epistatic effects to begin with. Moreover, directions of effect were not described for 46.1% of the interactions, which prevents their rigorous replication. In the original studies, attempts at replication were made for 15.2% of the interactions, and 7.3% were actually replicated. In the current study, we were able to evaluate 85.9% of the interactions using a large asthma dataset from the GABRIEL Consortium. None of these interactions could be replicated based on strict criteria. However, we found nominally significant (p < 0.05) evidence in support of 23.8% of the evaluated interactions. Although many reports of epistasis are not robustly supported in the published literature, our results suggest that at least some of these reports may have been true-positive examples of epistasis. In general, improvements in empirical studies of epistasis are called for, in order to better understand the importance of this phenomenon in human disease.

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Year:  2015        PMID: 25998948     DOI: 10.1007/s00439-015-1564-3

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   4.132


  29 in total

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3.  When one depends on the other: reporting of interaction in case-control and cohort studies.

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4.  Circos: an information aesthetic for comparative genomics.

Authors:  Martin Krzywinski; Jacqueline Schein; Inanç Birol; Joseph Connors; Randy Gascoyne; Doug Horsman; Steven J Jones; Marco A Marra
Journal:  Genome Res       Date:  2009-06-18       Impact factor: 9.043

5.  Attempted replication of 50 reported asthma risk genes identifies a SNP in RAD50 as associated with childhood atopic asthma.

Authors:  William Murk; Kyle Walsh; Ling-I Hsu; Linlu Zhao; Michael B Bracken; Andrew T Dewan
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Review 6.  Epistasis in sporadic Alzheimer's disease.

Authors:  Onofre Combarros; Mario Cortina-Borja; A David Smith; Donald J Lehmann
Journal:  Neurobiol Aging       Date:  2008-02-21       Impact factor: 4.673

7.  Pervasive cryptic epistasis in molecular evolution.

Authors:  Mark Lunzer; G Brian Golding; Antony M Dean
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8.  The genetic landscape of a cell.

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Journal:  Science       Date:  2010-01-22       Impact factor: 47.728

9.  A large-scale, consortium-based genomewide association study of asthma.

Authors:  Miriam F Moffatt; Ivo G Gut; Florence Demenais; David P Strachan; Emmanuelle Bouzigon; Simon Heath; Erika von Mutius; Martin Farrall; Mark Lathrop; William O C M Cookson
Journal:  N Engl J Med       Date:  2010-09-23       Impact factor: 91.245

10.  Performance analysis of novel methods for detecting epistasis.

Authors:  Junliang Shang; Junying Zhang; Yan Sun; Dan Liu; Daojun Ye; Yaling Yin
Journal:  BMC Bioinformatics       Date:  2011-12-15       Impact factor: 3.169

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  6 in total

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Journal:  Am J Hum Genet       Date:  2016-09-15       Impact factor: 11.025

2.  Accurately annotate compound effects of genetic variants using a context-sensitive framework.

Authors:  Si-Jin Cheng; Fang-Yuan Shi; Huan Liu; Yang Ding; Shuai Jiang; Nan Liang; Ge Gao
Journal:  Nucleic Acids Res       Date:  2017-06-02       Impact factor: 16.971

3.  Neuropeptide S (NPS) variants modify the signaling and risk effects of NPS Receptor 1 (NPSR1) variants in asthma.

Authors:  Nathalie Acevedo; Sini Ezer; Simon Kebede Merid; Vincent D Gaertner; Cilla Söderhäll; Mauro D'Amato; Michael Kabesch; Erik Melén; Juha Kere; Ville Pulkkinen
Journal:  PLoS One       Date:  2017-05-02       Impact factor: 3.240

4.  Exhaustive Genome-Wide Search for SNP-SNP Interactions Across 10 Human Diseases.

Authors:  William Murk; Andrew T DeWan
Journal:  G3 (Bethesda)       Date:  2016-07-07       Impact factor: 3.154

5.  Genome-wide search identifies a gene-gene interaction between 20p13 and 2q14 in asthma.

Authors:  William Murk; Andrew T DeWan
Journal:  BMC Genet       Date:  2016-07-07       Impact factor: 2.797

6.  Cis-epistasis at the LPA locus and risk of cardiovascular diseases.

Authors:  Lingyao Zeng; Sylvain Moser; Nazanin Mirza-Schreiber; Claudia Lamina; Stefan Coassin; Christopher P Nelson; Tarmo Annilo; Oscar Franzén; Marcus E Kleber; Salome Mack; Till F M Andlauer; Beibei Jiang; Barbara Stiller; Ling Li; Christina Willenborg; Matthias Munz; Thorsten Kessler; Adnan Kastrati; Karl-Ludwig Laugwitz; Jeanette Erdmann; Susanne Moebus; Markus M Nöthen; Annette Peters; Konstantin Strauch; Martina Müller-Nurasyid; Christian Gieger; Thomas Meitinger; Elisabeth Steinhagen-Thiessen; Winfried März; Andres Metspalu; Johan L M Björkegren; Nilesh J Samani; Florian Kronenberg; Bertram Müller-Myhsok; Heribert Schunkert
Journal:  Cardiovasc Res       Date:  2022-03-16       Impact factor: 10.787

  6 in total

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