Altered Genes, Twisted Truth: How the Venture to Genetically Engineer Our Food Has Subverted Science

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77. Answered

As Dr. Steven Novella notes on his blog Neurologica:

This data is observational, meaning the authors are looking at data collected out there in the world and not part of any controlled prospective experiment. Observational data is always subject to unanticipated confounding factors. However, robust observational data is still highly useful, and has the potential to detect any clear signals.

The findings also comport with long-term GMO feeding laboratory studies. The GENERA database, found at Biology Fortified online, lists more than three-dozen examples of multi-year studies. A recent review of 24 of these studies by Snell et. al found: “Results…do not suggest any health hazards and, in general, there were no statistically significant differences within parameters observed.” There have been a few outlier studies, such as the retracted GMO corn research. But if Séralini’s data were real and 80% of food was poison, animals and people would be dropping like flies.

The authors also found no evidence to suggest any health affect on humans who eat those animals. No study has revealed any differences in the nutritional profile of animal products derived from GE-fed animals. Because DNA and protein are normal components of the diet that are digested, there are no detectable or reliably quantifiable traces of GE components in milk, meat, and eggs following consumption of GE feed.

In other words, the debate over the risks associated with GMO food is effectively over. As Novella writes:

We now have a large set of data, both experimental and observational, showing that genetically modified feed is safe and nutritionally equivalent to non-GMO feed. There does not appear to be any health risk to the animals, and it is even less likely that there could be any health effect on humans who eat those animals.

In order to maintain the position that GMOs are not adequately tested, or that they are harmful or risky, you have to either highly selectively cherry pick a few outliers of low scientific quality, or you have to simply deny the science.