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The challenge of detecting epistasis (G×G Interactions): Genetic Analysis Workshop 16

✍ Scribed by Ping An; 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

Publisher
John Wiley and Sons
Year
2009
Tongue
English
Weight
426 KB
Volume
33
Category
Article
ISSN
0741-0395

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✦ Synopsis

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. Genet. Epidemiol. 33 (Suppl. 1):S58–S67, 2009. © 2009 Wiley‐Liss, Inc.

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Dem Bearbeiterkollektiv gebuhrt Dank fur die Losung der schwierigen Aufgabe der Herausgabe vereinheitlichter Methoden. Die Methoden sind logisch, wissenschaftlich fundiert und klar formuliert aufgebaut. I m Vergleich zu ahnlichen Buchern uber die Wasseranalyse stellt dieses Werk eine Weiterentwicklu