Personalized nutrition is rooted in the concept that one size does not fit all, and who doesn’t want to think they’re special? The concept of personalized nutrition is inherently appealing to the human ego. Simple messages recognizing individuality therefore resonate deeply with consumers, explaining the popularity of such messages in sales and marketing. Even to the point of manufacturing personalized food for people uniqueness, suggesting 3D food printing as a good candidate for food customization.
Now, there certainly are some legitimate differences between people. Some have a peanut allergy, and keel over if they eat a peanut. And others have celiac disease and have to avoid gluten, or genetically are lactose intolerant. There’s an enzyme mutation common in some parts of Asia that protects against alcoholism because you don’t metabolize alcohol as efficiently; so, toxic metabolites build up. I did a fascinating video about fast versus slow caffeine metabolizers, and the difference in health benefits that actually extends to athletic performance. Caffeine is ergogenic, performance-enhancing––but only in fast metabolizers, shaving more than a minute off a 10 kilometers of cycling, whereas slower metabolizers got no benefit, or caffeine actually slows them down, adding two minutes to their cycling time, depending on which kind of gene they have that codes the enzyme that breaks it down. But for most people, in most situations, we are more similar than different.
While there is undoubtedly a specific minority of individuals who clearly require a more personalized approach to nutrition, there is presently insufficient rationale for truly personalized nutrition for the majority of people. Yet there is an astonishing number of direct-to-consumer (DTC) genetic testing companies that have proliferated offering personalized nutrition advice; for example, supplement-hawking companies claiming to help consumers optimize micronutrient status on the basis of a handful of genetic variants. But the majority of the variants explain just a few percent of the difference in levels between individuals.
Personalized nutrition is part of a broader push towards “personalized medicine,” also known as “precision medicine,” given the ‘‘massive cultural allure’’ of personal control over prevention, diagnosis, and treatment of disease, stimulating demand and prompting intense commercialization. But unlike monogenetic diseases—which are rare genetic diseases caused by a single malfunctioning gene like hemophilia or sickle cell anemia—most diseases are caused by a complex interaction between multiple genes with environmental factors, which pose a major challenge for the realization of personalized medicine.
Take something like adult stature, for example. We’ve found at least 40 locations on our chromosomes that have been associated with human height, which is strongly inherited. The genes from your parents account for about 80 percent of the difference in height between people, yet all those dozens of genes we’ve found explain only about five percent of height variation between people.
Researchers find those genetic links by using what are called genome-wide association studies, where you scan through all the chromosomes and look for statistical associations between diseases and any particular stretches of DNA. Okay, that’s interesting, but what companies marketing genetic susceptibility tests are doing is reinterpreting these data as if they were predictive of individual risks. But all you’re really getting are modest genetic associations, with a slight increase in the risk of disease and with little predictive value when compared to more significant contributions of things we already know, like lifestyle behaviors. Currently, the practice of utilizing the DNA of an individual to predict disease has been judged to provide little to no useful information.
In other words, almost no one in the United States is eating a healthy diet. Studies like that remind us that from the perspective of public health, worrying about personalizing our preventive strategies based on genetic risk information borders on the absurd.