An international consortium has made significant inroads into uncovering the genetic basis of obesity by identifying 18 new gene sites associated with overall obesity and 13 that affect fat distribution. The studies include data from nearly a quarter of a million participants, the largest genetic investigation of human traits to date. The papers, both from the GIANT (Genetic Investigation of ANthropometric Traits) consortium which consists of more than 400 scientists from 280 research institutions worldwide will appear in Nature Genetics and are receiving early online publication.
Joel Hirschhorn, MD, PhD of Children's Hospital Boston and the Broad Institute, a senior author on the overall obesity paper and involved in both, says, "Different people have different susceptibilities to obesity. Some don't rigorously watch what they eat or how much they exercise and still resist gaining weight, while others constantly struggle to keep their weight from skyrocketing. Some of this variability is genetic, and our goal was to increase understanding of why different people have different inherited susceptibility to obesity." Because most of the genes newly implicated in these studies have never been suspected of having a role in obesity, findings from both papers begin to shed light on the underlying biology, which may lead to better categorization and treatment of obesity in the future, Hirschhorn notes.
The overall obesity study looked for genetic determinants of body mass index (BMI), calculated as an individual's weight in kilograms over height in meters squared. Investigators combined data from 46 studies involving nearly 124,000 people and confirmed the top results in almost 126,000 more individuals to identify a total of 32 sites consistently associated with BMI, 18 of which are new. One of the novel variants is in the gene encoding for a receptor protein that responds to signals from the gut to influence insulin levels and metabolism. Another variant is near a gene known to encode proteins affecting appetite.
"One of the most exciting parts of this work is that most of the BMI-associated variants identified are in or near genes that have never before been connected to obesity. Through this work we are discovering that the underlying biological underpinnings of obesity are many, varied and largely uncharacterized," says Elizabeth K. Speliotes, MD, PhD, MPH, of Massachusetts General Hospital and the Broad Institute, the first author of the BMI study and also involved in both studies.
Although the effects of each individual variant were modest, individuals who carried more than 38 BMI-increasing variants were on average 15 to 20 pounds heavier than those who carried fewer than 22 such variants. However, even in combination these variants explain only a small fraction of the overall variation in body weight. The researchers found that the combined genetic information from these variants was only slightly better than flipping a coin in predicting whether an individual would be obese, probably because many other factors, both genetic and environmental, contribute to overall weight.
The second study looked at genetic associations with how fat is distributed in the body.
Studies have shown that fat stored in the abdomen increases the risk of type 2 diabetes and heart disease, even after adjusting for obesity. In contrast, fat stored in the hips and thighs may actually protect against diabetes and high blood pressure. The investigators examined the genetic determinants of waist-to-hip ratio, a measure of fat distribution, analyzing data from 77,000 participants in 32 studies. The regions identified in this analysis were then checked against data from another 29 studies including over 113,500 individuals. This revealed 14 gene regions associated with waist-to-hip ratio, adding 13 new regions and confirming the one previously known association.
Seven of the identified genetic variations have much stronger effects in women than in men, suggesting they may underlie some of the normal difference in fat distribution between the sexes. Although these identified gene regions explain only about 1 percent of the general variation in waist-to-hip ratios, the authors note, the findings point towards specific biological mechanisms involved in regulating where the body stores fat. The regions affecting fat distribution implicate genes involved in regulating cholesterol, triglyceride levels, insulin and insulin resistance, which may improve understanding of how fat deposits in certain body locations are even more tightly linked to metabolic disorders than to obesity.
"By finding genes that have an important role in influencing fat distribution and the ways in which that differs between men and women, we hope to home in on the crucial underlying biological processes," says Cecilia Lindgren, PhD, of the Wellcome Trust Centre for Human Genetics at Oxford University, senior researcher on the waist-to-hip ratio study, who was involved in both papers.
Hirschhorn is an associate professor of Genetics, and Speliotes is an instructor in Medicine at Harvard Medical School. Additional lead authors of the overall obesity study include investigators from Oxford University and Cambridge University in the U.K., the University of Michigan, the National Cancer Institute, University of North Carolina, deCODE Genetics, and the Karolinska Institutet in Sweden. Lead authors of the fat distribution paper include investigators from Regensburg University Medical Center, University of Michigan, Harvard School of Public Health, deCODE Genetics, Boston University, the Framingham Heart Study, Wellcome Trust, Sanger Institute and the University of North Carolina. The studies were supported by grants from a broad range of institutions, including the U.S. National Institutes of Health.
-- Head I et al. Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 2010. www.nature.com/ng/journal/vaop … ent/full/ng.685.html
-- Speliotes E et al. Association analyses of 249 796 individuals reveal 18 new loci associated with body mass index. Nat Genet 2010. www.nature.com/ng/journal/vaop … ent/full/ng.686.html