Japanese researchers identify genetic variations related to specific dietary habits

Researchers at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan and colleagues at Osaka University have found genetic variations in humans related to specific dietary habits. Published in Nature Human Behaviour, the genome-wide association study found 9 gene locations associated with eating and drinking foods like meat, tofu, cheese, tea, and coffee. Among them, three were also related to having particular diseases such as cancer or diabetes.

Genome-wide association studies are usually carried out when scientists want to know if a disease is related to a specific genetic variation. To do this, they group hundreds of thousands of people depending on whether or not they have the disease and compare the genomes across groups. They scan the whole genome looking at variations in DNA called single nucleotide polymorphisms (SNPs). If they find an SNP that is consistently associated with the disease group, they can say that people with that genetic variation might be at risk for the disease.

Rather than first looking at diseases, the RIKEN team looked at dietary habits. They wanted to find out if there are any specific genetic variations that make people "at risk" for habitually eating certain foods. "We know that what we eat defines what we are, but we found that what we are also defines what we eat," says Yukinori Okada, Senior Visiting Scientist at RIKEN IMS and professor at Osaka University.

Using genetic data from over 160,000 Japanese people who had filled out a food-frequency questionnaire, they found 9 genetic loci--positions on chromosomes--that were associated with consuming coffee, tea, alcohol, yogurt, cheese, natto (fermented soy beans), tofu, fish, vegetables, or meat. Initial diet-genome associations showed that the ingredients mattered. For example, they found positive genetic correlations between eating cheese and eating yogurt.

Overall, the study found 10 diet-genome associations that have never been reported before; four related to coffee and three related to alcohol. One SNP already known to be associated with coffee and alcohol was found to be related to almost all of the dietary items that were examined.

We found that this particular variation in a single DNA nucleotide at the ALDH2 gene was related to consuming less alcohol, natto, tofu, and fish, and at the same time, related to consuming more coffee, green tea, milk, and yogurt."

Yukinori Okada, Senior Visiting Scientist at RIKEN IMS and professor at Osaka University

Just as the genome comprises all the genetic material of an organism, the phenome comprises all the possible observable traits, known as phenotypes. In order to determine whether any of the SNPs associated with diet were also related to diseases, the researchers performed a phenome-wide association study. The results indicated that six of the SNPs were related to at least one disease phenotype, including several types of cancer as well as type-2 diabetes.

As with genome-wide association studies for diseases, the current results can benefit society in the long run. As Okada explains, "by estimating individual differences in dietary habits from genetics, especially the 'risk' of being an alcohol drinker, we can help create a healthier society."

Source:
Journal reference:

Matoba, N., et al. (2020) GWAS of 165,084 Japanese individuals identified nine loci associated with dietary habits. Nature Human Behaviour. doi.org/10.1038/s41562-019-0805-1.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Air pollution linked to head and neck cancer risk