Literature DB >> 17449820

Modelling genotype-phenotype relationships and human disease with genetic interaction networks.

Ben Lehner1.   

Abstract

Probably all heritable traits, including disease susceptibility, are affected by interactions between mutations in multiple genes. We understand little, however, about how genes interact to produce phenotypes, and there is little power to detect interactions between genes in human population studies. An alternative approach towards understanding how mutations combine to produce phenotypes is to construct systematic genetic interaction networks in model organisms. Here I describe the methods that are being used to map genetic interactions in yeast and C. elegans, and the insights that these networks provide for human disease. I also discuss the mechanistic interpretation of genetic interaction networks, how genetic interactions can be used to understand gene function, and methods that have been developed to predict genetic interactions on a genome-wide scale.

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Year:  2007        PMID: 17449820     DOI: 10.1242/jeb.002311

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  30 in total

1.  Description of International Caenorhabditis elegans Experiment first flight (ICE-FIRST).

Authors:  N J Szewczyk; J Tillman; C A Conley; L Granger; L Segalat; A Higashitani; S Honda; Y Honda; H Kagawa; R Adachi; A Higashibata; N Fujimoto; K Kuriyama; N Ishioka; K Fukui; D Baillie; A Rose; G Gasset; B Eche; D Chaput; M Viso
Journal:  Adv Space Res       Date:  2008-09-15       Impact factor: 2.152

2.  Predicting genetic modifier loci using functional gene networks.

Authors:  Insuk Lee; Ben Lehner; Tanya Vavouri; Junha Shin; Andrew G Fraser; Edward M Marcotte
Journal:  Genome Res       Date:  2010-06-09       Impact factor: 9.043

3.  Predicting functional gene interactions with the hierarchical interaction score.

Authors:  Berend Snijder; Prisca Liberali; Mathieu Frechin; Thomas Stoeger; Lucas Pelkmans
Journal:  Nat Methods       Date:  2013-10-06       Impact factor: 28.547

4.  Novel and recurrent variants in AVPR2 in 19 families with X-linked congenital nephrogenic diabetes insipidus.

Authors:  Shivani Joshi; Helene Kvistgaard; Konstantinos Kamperis; Mia Færch; Søren Hagstrøm; Niels Gregersen; Søren Rittig; Jane Hvarregaard Christensen
Journal:  Eur J Pediatr       Date:  2018-03-28       Impact factor: 3.183

5.  Hierarchical modularity and the evolution of genetic interactomes across species.

Authors:  Colm J Ryan; Assen Roguev; Kristin Patrick; Jiewei Xu; Harlizawati Jahari; Zongtian Tong; Pedro Beltrao; Michael Shales; Hong Qu; Sean R Collins; Joseph I Kliegman; Lingli Jiang; Dwight Kuo; Elena Tosti; Hyun-Soo Kim; Winfried Edelmann; Michael-Christopher Keogh; Derek Greene; Chao Tang; Pádraig Cunningham; Kevan M Shokat; Gerard Cagney; J Peter Svensson; Christine Guthrie; Peter J Espenshade; Trey Ideker; Nevan J Krogan
Journal:  Mol Cell       Date:  2012-06-08       Impact factor: 17.970

Review 6.  "CRASH"ing with the worm: insights into L1CAM functions and mechanisms.

Authors:  Lihsia Chen; Shan Zhou
Journal:  Dev Dyn       Date:  2010-05       Impact factor: 3.780

7.  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

8.  Genes confer similar robustness to environmental, stochastic, and genetic perturbations in yeast.

Authors:  Ben Lehner
Journal:  PLoS One       Date:  2010-02-03       Impact factor: 3.240

Review 9.  Genotype to phenotype: lessons from model organisms for human genetics.

Authors:  Ben Lehner
Journal:  Nat Rev Genet       Date:  2013-01-29       Impact factor: 53.242

10.  Quantitative genetic-interaction mapping in mammalian cells.

Authors:  Assen Roguev; Dale Talbot; Gian Luca Negri; Michael Shales; Gerard Cagney; Sourav Bandyopadhyay; Barbara Panning; Nevan J Krogan
Journal:  Nat Methods       Date:  2013-02-13       Impact factor: 28.547

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