TFAP2B is a gene that becomes active in the prenatal period and goes on to influence obesity risk and diet response later in life. Can your variations help prevent the “yo-yo” dieting effect if you up your protein intake–or do you require more dietary fat?
The TFAP2B gene codes for a protein called transcription factor AP-2B, which can attach to DNA and control the activity of other genes. TFAP2B has the power to influence how cells divide and self-destruct when they are no longer needed (also known as apoptosis) [R].
Although we aren’t aware of it, this unusual protein starts to play a large part in our lives even before we are born. Research shows that TFAP2B is active in cells in the early prenatal period, affecting how the brain and other tissues and organs develop [R].
More recently, the TFAP2B gene has been in the spotlight of obesity and nutrigenomics research. So what do your TFAP2B variants mean and how exactly can you modify your diet based on them?
The TFAP2B gene is implicated in prenatal development, obesity, and dietary response.
TFAP2B, BMI & Being Overweight
Variations in the TFAP2B gene have been associated with increased weight and belly fat and type 2 diabetes. The majority of obesity and diet-related research focused on a SNP labeled rs987237 [R, R].
Initial studies revealed a link between the G allele of rs987237 and obesity. People carrying the risk allele were more likely to be overweight and to have excess belly fat [R].
The TFAP2B gene is mostly expressed in fat tissue and it is more active in people with the risk allele. Scientists think that TFAP2B overactivity might cause the body to store too much fat by inducing insulin resistance in fat cells. It also reduces adiponectin and increases interleukin-6 (IL-6) [R, R, R].
Low adiponectin levels have been linked with obesity, insulin resistance, and heart disease. IL-6 is an inflammatory cytokine. Hence, TFAP2B seems a plausible link between obesity and low-grade inflammation [R, R].
This gene also appears to increase the size of fat cells. Switching TFAP2B on in test tubes transformed regular cells into massive, dangerous fat cells that are characteristic of obesity [R].
Although more research is needed, it seems that keeping TFAP2B from becoming overactive might be beneficial for weight loss and general well-being [R].
Certain genetic variations may over-activate the TFAP2B gene, potentially contributing to obesity and insulin resistance.
The existing studies suggest that people who carry TFAP2B risk variants tend to have extra weight, and they may be better off on a high-fat diet [R].
High-protein diets are well researched for curbing appetite and preventing weight regain. However, people with TFAP2B variations seem to be an exception: they might be more prone to the “yo-yo” effect with high protein intake [R].
This association is still inconclusive, though, since only a couple of studies on TFAP2B and diet have been published so far.
Remember that many other genetic and non-genetic factors also influence a person’s response to diet and their ability to lose weight. Dietary interventions should always be part of a holistic weight management program that takes these factors and your overall health into account.
Weight Loss Based on Fat Intake
A study of obese adults revealed an association between the more common TFAP2B rs987237 genotype and weight loss on a low-fat diet. The rare genotype was linked with weight loss on a high-fat diet [R].
Both diets were energy-deficient (by 600 kcal) and the participants strictly followed them for 10 weeks.
To take a deep dive into the data by genotype:
- AA carriers lost over 2lbs (1 kg) more weight on the low-fat than on the high-fat diet
- GG carriers (highest obesity risk) lost almost 6 lbs (2.6 kg) more weight on the high-fat diet
- GA carriers were a bit less sensitive, but they still lost almost 2 lbs (0.8 kg) more on the high-fat diet
The authors also discovered a similar but weaker pattern for waist size reduction. People with the AA genotype lost more belly fat on the low-fat diet, and vice versa [R].
Another study of 639 obese people found a similar but insignificant trend. Participants in this study dieted for only 8 weeks and were not closely monitored, which might explain the weaker effect [R].
People with obesity-linked TFAP2B rs987237 variations (GG and AG) are likely to lose more weight on high-fat diets. The opposite seems to be the case for obese AA carriers.
Will You Regain Weight on Protein or Fat?
Preventing weight regain–the infamous “yo-yo” effect–might be even more important than losing extra weight in the first place. Maintaining healthy weight and good nutrition is key to fighting obesity and other chronic health problems in the long run [R].
People often describe this maintenance step as more challenging than initial weight loss. It’s not just about “sticking to it” and having psychological support. The body actually mounts a response when you lose weight, activating various feedback loops you have to overcome. In turn, your hormones change, your appetite increases, and you feel less satiated [R].
And as it turns out, people may have completely opposite weight regain reactions to high fat vs. high-protein diets based on TFAP2B variations [R].
In a study of 468 people, high-protein diets were beneficial for weight maintenance in the “non-risk” AA rs987237 genotype group.
Carriers of the obesity risk allele (G allele) regained 4 lbs more body weight per risk allele on the high-protein diet compared to the low-protein diet. In other words, people with the GG genotype regained 8 lbs more when their protein intake was high.
High-protein diets may be a good weight-maintenance strategy for most people. People with obesity-linked rs987237 variations may be better suited for lower protein intake.
SNP Summary and Table
You can see your genotypes for TFAP2B in the table below. However, keep in mind that these associations are based on studies from certain ethnic populations — so you should interpret your results with caution if you are not descended from one of these specific groups!
Primary SNP: TFAP2B rs987237
- ‘A’ = Greater weight loss on lower-fat diets, better weight maintenance on a high-protein diet; less prone to obesity.
- ‘G’ = Greater weight loss on higher-fat diets, better weight maintenance on a low-protein diet; more likely to be obese.
Population Frequency
Around 68% of people worldwide carry the high-protein-suited, “non-obesity” AA variant of rs987237; the rest are mostly AG (28%), while about 4% carry two risk alleles (GG).
The situation flips in Latin Americans, of which only 45% are AA. Let’s take a closer look:
- Only 31% of people of Mexican ancestry are AA. The rest carry the fat-favoring, “obesity” risk allele (48% are AG and a shocking 20% have the highest risk GG genotype)
- Similarly, only 30% of Peruvians are AA (52% are AG and 18% are GG)
On the other end of the spectrum are people of African ancestry, 84% of which have the “non-obesity” AA variant. About 16% are AG; the highest risk, GG allele is extremely rare (under 1%).
The rest are somewhere in-between: 67% of Europeans are AA, while 73% of East Asians and 59% of South Asians are AA.
Although the “obesity” G allele of rs987237 is considered the rare variant worldwide, it’s relatively more common among people of South and Central American ancestry.
Recommendations to Optimize Diet and Weight Loss
If you are overweight and have metabolic problems, always speak with your doctor before implementing any of the following strategies. There may be unexpected interactions with your current medications or health conditions.
None of these recommendations should ever be used to replace any of the treatments or medications that your doctor gives you.
For Weight Loss
The high-fat diet used in a study covered in this article was “moderate-fat” and wouldn’t fit keto diet standards. It better fits the Mediterranean diet since it had the following daily macronutrient breakdown:
- 40-45% carbohydrates
- 15% protein
This ratio enhanced weight loss in people carrying the obesity-linked G allele of rs987237.
As the main difference, the low-fat diet contained 20-25% of total daily calories from fat. This diet worked better for people with the AA genotype for rs987237 [R].
Another study used the low-calorie Modifast diet over 8 weeks (20% fat, 54% carbohydrates, 26% protein, 880 kcal/day). It didn’t work well for G-allele carriers who were used to higher-fat diets. The more they had to cut down on fat, the less weight they lost.
Therefore, G-allele carriers would be best off getting at least moderate amounts of healthy fat in their diet. They should increase monounsaturated fatty acids, such as those found in olive oil, and heart-healthy omega-3 fatty acids that abound in wild-caught fish and seafood.
People with the AA genotype lose more weight with reduced fat intake, but they should still make sure to get enough healthy fats every day. Low-fat diets are an option backed up by decent evidence for weight loss, but their effect on general well-being is less convincing [R].
Talk to your doctor before trying out a low-fat diet as it’s not recommended for most people [R, R, R].
For Weight Maintenance
Typically, a high-protein diet will have the following macronutrient ratio:
- 30% protein
- 30% fat
- 40% carbs
A high-protein diet was a better weight-maintenance choice for people with the AA rs987237 genotype [R].
Although some diets contain up to 65% of calories from protein, going over 35% isn’t recommended.
On the other hand, low-protein diets usually contain less than 10% of total calories from protein.
A low-protein diet worked better for preventing weight regain in G-allele carriers of rs987237. People with this genotype should look to increase healthy fats and low-glycemic-index carbs like resistant starch and fiber. Studies suggest that resistant starch supports energy balance, weight loss, and weight maintenance [R].
Disclaimer
The information on this website has not been evaluated by the Food & Drug Administration or any other
official medical body. This information is presented for educational purposes only, and may not be used
to diagnose or treat any illness or disease.
Also keep in mind that the “Risk Score” presented in this post is based only on a select number of
SNPs, and therefore only represents a small portion of your total risk as an individual. Furthermore,
these analyses are based primarily on associational studies, which do not necessarily imply causation.
Finally, many other (non-genetic) factors can also play a significant role in the development of a
disease or health condition — therefore, carrying any of the risk-associated genotypes discussed in this
post does not necessarily mean you are at increased risk of developing a major health condition.
Always consult your doctor before acting on any information or recommendations discussed in this post —
especially if you are pregnant, nursing, taking medication, or have been officially diagnosed with a
medical condition.