deCODE You

Independent of obesity itself, WHR is a key indicator of risk of diabetes, heart disease and mortality, and appears to be regulated differently in women and men.

Reykjavik, ICELAND, 11 October 2010 – In two of the largest metastudies of their kind to date, scientists from the GIANT consortium, including deCODE as well as hundreds of academic institutions on three continents, today report the discovery of eighteen new regions of the human genome contributing to obesity and thirteen new regions influencing waist-hip ratio (WHR). The studies bring together data on body mass index (BMI, a measure of obesity), WHR (a measure of body fat distribution), and detailed genotypic information, from more than a quarter of a million participants from Europe, North America and Australia. The findings demonstrate the effectiveness of collaborations such as GIANT for powering studies large enough to detect lower-impact genetic factors for common traits and diseases.

“To my mind, perhaps the most noteworthy aspect of these findings is that it has indeed been possible to find so many loci for WHR that are independent of BMI. Most of the BMI loci appear to affect central and neuronal processes regulating satiety and appetite. By contrast, the WHR loci appear to be involved in the development and distribution of adipose tissue. Thus, the genetics seems to be pointing us to biological distinctions between two components of the regulation of weight – how much we eat, and how and where calories are stored as fat. Also intriguing, many of the WHR loci show a significantly greater impact in women than in men, a distinction that is stronger here than in any other disease or trait we have looked at. From a health perspective, the distinctions drawn here between BMI and WHR are steps towards better understanding the role of these two traits as risk factors for a range of diseases,” said Kari Stefansson, deCODE CEO and a senior author on the BMI study.

The papers, “Association analyses of 249,796 individuals reveal eighteen new loci associated with body mass index,” and “Meta-analysis identifies 13 novel loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution,” are published online in Nature Genetics at www.nature.com/ng and will appear in an upcoming print edition of the journal.

Knowing your risk for Chronic Kidney Disease through a deCODEme DNA scan can increase your awareness and empower you to take preventive steps to protect your kidneys.

Chronic Kidney Disease has been added to the deCODEme Complete Scan. Chronic Kidney Disease involves the gradual loss of kidney function over time that can ultimately lead to kidney failure. It typically develops as a result of other common diseases, primarily diabetes, high blood pressure and obesity, but not everyone has the same risk of developing Chronic Kidney Disease. Research suggests that this disease has a strong familial component.

In the U.S., an estimated 26 million adults have Chronic Kidney Disease, but most of them do not know it. The kidneys have such a remarkable ability to compensate for problems in their function, that there may be no symptoms of Chronic Kidney Disease until it has progressed considerably.

Recently, scientists identified a common genetic variant (rs4293393-T), associated with increased risk of Chronic Kidney Disease. deCODEme has incorporated these results into the complete genetic scan, which analyzes your DNA and provides you with a personalized risk assessment for Chronic Kidney Disease and about many other diseases, including diabetes, obesity and kidney stones.

Chronic Kidney Disease is a growing problem in the U.S. and in other western parts of the world, Knowing your risk for Chronic Kidney Disease can increase your awareness and empower you to take preventive steps to protect your kidneys.

deCODE scientists have discovered new genetic variants influencing BMI, weight and risk of obesity

As we all know to well, for decades the scales have been tipping in favor of obesity. The epidemic of obesity in many industrialized countries has been driven by many factors, including easy access to fast food, an increasingly sedentary lifestyle, insufficient daily physical activity. All of this while our genomes have evolved on a background of scarcity, often putting a premium on the ability of the body to turn food into fat and store energy for leaner times. A paper published today by deCODE scientists and academic colleagues from the US and Europe provide a significant advance in our knowledge of the underlying genetics and biology of obesity, providing new information for understanding and addressing obesity and perhaps nudging the scales the other way.
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