9,382
Views
17
CrossRef citations to date
0
Altmetric
Review Article

Published GMO studies find no evidence of harm when corrected for multiple comparisons

&
Pages 213-217 | Received 01 Mar 2015, Accepted 25 Nov 2015, Published online: 14 Jan 2016
 

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.

Declaration of interest

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of this article. This article was not financed by any non-government organization or lobbied by any entity, except for the common sense. This study was supported by the Russian Science Foundation (project 14-50-00150). The funding body did not in any way interfere with or participate in the preparation of the article. A.I.T. was supported by NIH grant EY02238. We are grateful to anonymous reviewers who suggested a number of improvements for our article.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 751.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.