title: Published GMO studies find no evidence of harm when corrected for multiple comparisons.
abstract: A number of widely debated research articles claiming possible technology-related health concerns have influenced the public opinion on genetically modified food safety. We performed a statistical reanalysis and review of experimental data presented in some of these studies and found that quite often in contradiction with the authors' conclusions the data actually provides weak evidence of harm that cannot be differentiated from chance. In our opinion the problem of statistically unaccounted multiple comparisons has led to some of the most cited anti-genetically modified organism health claims in history. We hope this analysis puts the original results of these studies into proper context.
authors.affiliation: a Institute for Information Transmission Problems RAS , Moscow , Russian Federation and.
authors.forename: Alexander Y
authors.initials: AY
authors.lastname: Panchin
authors.affiliation: a Institute for Information Transmission Problems RAS , Moscow , Russian Federation and.|b Department of Ophthalmology , School of Medicine, Bascom Palmer Eye Institute, University of Miami Miller Miami , FL , USA.
authors.forename: Alexander I
authors.initials: AI
authors.lastname: Tuzhikov
mesh_terms: D000818:Animals; D003627:Data Interpretation, Statistical; D006801:Humans; D030781:Organisms, Genetically Modified; D018675:Toxicity Tests / Q000706:statistics & numerical data*
keywords: GMO; Genetic engineering; genetic modification; health; safety; statistics; transgenic