Literature DB >> 12351582

Epistasis: what it means, what it doesn't mean, and statistical methods to detect it in humans.

Heather J Cordell1.   

Abstract

Epistasis, the interaction between genes, is a topic of current interest in molecular and quantitative genetics. A large amount of research has been devoted to the detection and investigation of epistatic interactions. However, there has been much confusion in the literature over definitions and interpretations of epistasis. In this review, we provide a historical background to the study of epistatic interaction effects and point out the differences between a number of commonly used definitions of epistasis. A brief survey of some methods for detecting epistasis in humans is given. We note that the degree to which statistical tests of epistasis can elucidate underlying biological interactions may be more limited than previously assumed.

Entities:  

Mesh:

Year:  2002        PMID: 12351582     DOI: 10.1093/hmg/11.20.2463

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  381 in total

1.  Diminishing returns epistasis among beneficial mutations decelerates adaptation.

Authors:  Hsin-Hung Chou; Hsuan-Chao Chiu; Nigel F Delaney; Daniel Segrè; Christopher J Marx
Journal:  Science       Date:  2011-06-03       Impact factor: 47.728

2.  The FGF and FGFR Gene Family and Risk of Cleft Lip With or Without Cleft Palate.

Authors:  Hong Wang; Tianxiao Zhang; Tao Wu; Jacqueline B Hetmanski; Ingo Ruczinski; Holger Schwender; Kung Yee Liang; Tanda Murray; M Daniele Fallin; Richard J Redett; Gerald V Raymond; Sheng-Chih Jin; Yah-Huei Wu Chou; Philip Kuo-Ting Chen; Vincent Yeow; Samuel S Chong; Felicia S H Cheah; Sun Ha Jee; Ethylin W Jabs; Alan F Scott; Terri H Beaty
Journal:  Cleft Palate Craniofac J       Date:  2011-11-10

3.  Interaction between CTLA4 gene and IBD5 locus in Hungarian Crohn's disease patients.

Authors:  Veronika Csöngei; Luca Járomi; Eniko Sáfrány; Csilla Sipeky; Lili Magyari; Noémi Polgár; Judit Bene; Patrícia Sarlós; Lilla Lakner; Eszter Baricza; Melinda Szabó; Gábor Rappai; Béla Melegh
Journal:  Int J Colorectal Dis       Date:  2011-04-26       Impact factor: 2.571

4.  You've gotta be lucky: Coverage and the elusive gene-gene interaction.

Authors:  Matthew Reimherr; Dan L Nicolae
Journal:  Ann Hum Genet       Date:  2010-10-26       Impact factor: 1.670

5.  Affected-sib-pair data can be used to distinguish two-locus heterogeneity from two-locus epistasis.

Authors:  Heather J Cordell
Journal:  Am J Hum Genet       Date:  2003-12       Impact factor: 11.025

6.  Gene-gene interaction in folate-related genes and risk of neural tube defects in a UK population.

Authors:  C L Relton; C S Wilding; M S Pearce; A J Laffling; P A Jonas; S A Lynch; E J Tawn; J Burn
Journal:  J Med Genet       Date:  2004-04       Impact factor: 6.318

7.  Benchmarking relief-based feature selection methods for bioinformatics data mining.

Authors:  Ryan J Urbanowicz; Randal S Olson; Peter Schmitt; Melissa Meeker; Jason H Moore
Journal:  J Biomed Inform       Date:  2018-07-17       Impact factor: 6.317

8.  A genome-wide gene-gene interaction analysis identifies an epistatic gene pair for lung cancer susceptibility in Han Chinese.

Authors:  Minjie Chu; Ruyang Zhang; Yang Zhao; Chen Wu; Huan Guo; Baosen Zhou; Jiachun Lu; Yongyong Shi; Juncheng Dai; Guangfu Jin; Hongxia Ma; Jing Dong; Yongyue Wei; Cheng Wang; Jianhang Gong; Chongqi Sun; Meng Zhu; Yongyong Qiu; Tangchun Wu; Zhibin Hu; Dongxin Lin; Hongbing Shen; Feng Chen
Journal:  Carcinogenesis       Date:  2013-12-09       Impact factor: 4.944

9.  Epistasis between hyperglycemic QTLs revealed in a double congenic of the OLETF rat.

Authors:  Hiroyuki Kose; Yoshimi Bando; Keisuke Izumi; Takahisa Yamada; Kozo Matsumoto
Journal:  Mamm Genome       Date:  2007-08-21       Impact factor: 2.957

10.  Testing gene-gene interactions in genome wide association studies.

Authors:  Jie Kate Hu; Xianlong Wang; Pei Wang
Journal:  Genet Epidemiol       Date:  2014-01-15       Impact factor: 2.135

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.