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SEC16B

Can This Gene Cause Obesity (SEC16B)?

Written by Carlos Tello, PhD on June 9th, 2020
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The SEC16B gene encodes a protein that stimulates the secretory process and peroxisome formation. Several variants of this gene are associated with higher obesity rates and BMI — read on to check where your genes stand.

What Is the SEC16B Gene?

The SEC16B gene encodes a protein also called SEC16B (‘SEC16 homolog B’) [R, R].

SEC16B was first identified as a protein enhancing the expression of the regucalcin gene and called RGPR-p117 (‘regucalcin gene promoter-related protein 117’) [R, R].

SEC16B controls the secretory process by allowing the assembly of the vesicles that transport newly formed proteins and fats out of the membrane system that produces them (the endoplasmic reticulum) [R, R].

Importantly, SEC16B is required for the transport of the factors that promote the formation of peroxisomes. These cell structures are involved in the breakdown of fatty acids [R, R].

The SEC16B gene encodes a protein involved in the secretion of proteins that help transport and break down fat.

SEC16B Variants in Body Weight

Rs10913469 and Rs543874

Two SEC16B polymorphisms have been widely investigated: rs10913469 and rs543874.

The minor ‘C’ variant of rs10913469 was more common among people with obesity and high BMI in Japanese, Chinese, Singaporean, and Dutch adults. However, two studies couldn’t find this association [R, R, R, R, R, R, R, R, R].

This variant has also been linked to increased obesity rates, BMI, and body weight in Czech, Mexican, Portuguese, Chinese, American, Danish, Estonian, Norwegian, and British children and adolescents [R, R, R, R, R, R, R, R, R, R].

The minor ‘G’ variant of rs543874 has been associated with higher obesity rates and BMI in Japanese (especially in women), Korean, and African American populations, and with high body fat percentage in people of European descent [R, R, R, R, R, R]. 

This allele has also been linked to higher rates of childhood obesity, as well as with increases in BMI throughout childhood and adolescence in multiple ethnicities [R, R, R, R, R, R, R, R, R, R].

A meta-analysis of 28 studies concluded that both variants are associated with increased BMI and risk of obesity in different ethnic populations [R].

Other Polymorphisms

Less-widely investigated polymorphisms linked to obesity traits include:

  • The minor ‘T’ variant of rs574367: associated with higher BMI in healthy people of East Asian ancestry and Chinese diabetics [R, R]
  • The minor ‘A’ variant of rs516636: associated with increased obesity and BMI in Japanese adults and Chinese children [R, R]
  • The minor ‘C’ variant of rs591120: associated with increased BMI in European adolescents and young adults [R, R]

How It Works

Unfortunately, none of the studies evaluated the effects of the different variants on SEC16B expression. 

The exact contribution of this protein to weight also remains unclear, but the following mechanisms have been proposed:

  • As previously mentioned, SEC16B stimulates the production of the regulatory protein regucalcin. Its excessive levels increase fat production in bone marrow cells and alter fat transport in rats, leading to increased fat levels in blood but lower in the liver [R, R, R].
  • Mutated SEC16B variants may reduce fat breakdown by interfering with the correct formation of peroxisomes [R, R].
  • SEC16B may contribute to weight gain through its role in protein secretion. Variants of this gene could alter the transport of proteins involved in appetite regulation or fat breakdown [R, R].
  • SEC16B might influence the diet by changing taste preferences [R, R].

The minor variants of several SEC16B polymorphisms have been associated with increased obesity rates and BMI. The mechanisms by which they contribute to weight gain remain unclear.

Your SEC16B Results for Body Weight

SNP Table

 

 

SNP Summary and Table

Primary SNP:

SEC16B rs10913469 

  • ‘T’ = normal obesity rates, BMI, and body weight
  • ‘C’ = increased obesity rates, BMI, and body weight
  • 60% of the world population carries two copies of the ‘T’ allele
  • The ‘C’ variant is slightly more common in people with an African background

Other Important SNPs:

SEC16B rs543874 

  • ‘A’ =  normal obesity rates, BMI, and body fat
  • ‘G’ = increased obesity rates, BMI, and body fat
  • Less than 5% of the world population carries two copies of the ‘G’ allele
  • The ‘A’ variant is even more common in people of East and South Asian ancestry and less in African descendants

SEC16B rs574367

  • ‘G’ = normal BMI
  • ‘T’ = increased BMI
  • Less than 3% of the world population carries two copies of the ‘T’ allele
  • The ‘T’ variant is even less common in African descendants

SEC16B rs516636

  • ‘C’ = normal obesity rates and BMI
  • ‘A’ = increased obesity rates and BMI
  • The genotype distribution is very similar to that of rs574367 for all ethnicities
  • The ‘A’ variant is slightly more common in people of European and American descent

SEC16B rs591120

  • ‘G’ = normal BMI 
  • ‘C’ = increased BMI
  • Approximately 47% of the world population carries one copy of each allele
  • The ‘C’ variant is least common in East Asian descendants

 

 

Recommendations

Lifestyle

Exercise

In Hispanic American adolescents, moderate physical activity lessened the obesity-promoting effects of the ‘G’ variant at rs543874 [R].

Similarly, exercise reduced the weight-gain effects of the ‘C’ variant at rs10913469 in a study on different American and European populations [R].

High-intensity exercise is probably the best strategy to lose weight. In addition to promoting fat and calorie burning, it may increase the levels of chemicals that support mental health and suppress appetite such as the neurotransmitters norepinephrine and endorphins, and the neurotrophin BDNF [R, R, R].

Aerobic exercise (like walking, running, swimming, etc) has also been shown to cause major reductions in belly fat in multiple studies. Although the reason is not fully understood, yoga can be a useful tool for weight loss too [R, R, R, R, R].

Exercise helps reduce weight and may lessen the obesity-promoting effects of some SEC16B variants.

Diet

Low-Carbohydrate Diets

Chinese children carrying the ‘G’ variant of rs543874 showed preference for salty foods, which may cause an increased intake of  sugar-sweetened soft drinks to curb thirst. In addition, high salt intake may contribute to obesity by causing water retention and reducing fat burning [R]. 

In a clinical trial on 119 overweight people, a low-carbohydrate ketogenic diet was as effective as a low-fat diet for weight loss but had the advantages that it reduced appetite and negative affect. A meta-analysis of 13 studies and over 1,500 people concluded that low-carbohydrate ketogenic diets are more effective than low-fat diets for losing weight [R, R].

Coffee

The ‘T’ variant of the rs574367 polymorphism has been associated with preference for bitter tastes and higher coffee consumption, potentially helping lose weight [R].

Caffeine is a well-known metabolic booster. In 12 clinical trials on 135 people, caffeine (100-600 mg/day) increased energy use and fat burning. Paradoxically, the effects were more pronounced in lean than in overweight people. Caffeine also helped maintain weight loss in 2 long-term studies on 2,500 people [R, R, R, R, R, R, R, R, R, R, R].

Cutting down on carbohydrates and drinking more coffee helps weight loss. Some SEC16B variants may influence weight by stimulating the preference for these tastes.

Author photo
Carlos Tello
PhD

Carlos received his PhD and MS from the Universidad de Sevilla.

Carlos spent 8 years in the laboratory investigating mineral transport in plants. He then started working as a freelancer, mainly in science writing, editing, and consulting. Carlos is passionate about learning the mechanisms behind biological processes and communicating science to both academic and lay audiences. He strongly believes that scientific literacy is crucial to maintaining a healthy lifestyle and avoiding falling for scams.

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.

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