title: The challenge of detecting epistasis (G x G interactions): Genetic Analysis Workshop 16.
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.
authors.affiliation: Division of Statistical Genomics and Department of Genetics, Washington University School of Medicine, St. Louis, Missouri 63108, USA.
authors.forename: Ping
authors.initials: P
authors.lastname: An
authors.forename: Odity
authors.initials: O
authors.lastname: Mukherjee
authors.forename: Pritam
authors.initials: P
authors.lastname: Chanda
authors.forename: Li
authors.initials: L
authors.lastname: Yao
authors.forename: Corinne D
authors.initials: CD
authors.lastname: Engelman
authors.forename: Chien-Hsun
authors.initials: CH
authors.lastname: Huang
authors.forename: Tian
authors.initials: T
authors.lastname: Zheng
authors.forename: Ilija P
authors.initials: IP
authors.lastname: Kovac
authors.forename: Marie-Pierre
authors.initials: MP
authors.lastname: Dubé
authors.forename: Xueying
authors.initials: X
authors.lastname: Liang
authors.forename: Jia
authors.initials: J
authors.lastname: Li
authors.forename: Mariza
authors.initials: M
authors.lastname: de Andrade
authors.forename: Robert
authors.initials: R
authors.lastname: Culverhouse
authors.forename: Doerthe
authors.initials: D
authors.lastname: Malzahn
authors.forename: Alisa K
authors.initials: AK
authors.lastname: Manning
authors.forename: Geraldine M
authors.initials: GM
authors.lastname: Clarke
authors.forename: Jeesun
authors.initials: J
authors.lastname: Jung
authors.forename: Michael A
authors.initials: MA
authors.lastname: Province
mesh_terms: D000483:Alleles; D001185:Artificial Intelligence; D004843:Epistasis, Genetic; D055106:Genome-Wide Association Study / Q000379:methods* / Q000706:statistics & numerical data; D006801:Humans; D016014:Linear Models; D008957:Models, Genetic; D017720:Molecular Epidemiology; D019683:Penetrance; D025341:Principal Component Analysis; D016016:Proportional Hazards Models; D018709:Statistics, Nonparametric