Title |
Genetics of obesity: can an old dog teach us new tricks?
|
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Published in |
Diabetologia, December 2016
|
DOI | 10.1007/s00125-016-4187-x |
Pubmed ID | |
Authors |
Giles S. H. Yeo |
Abstract |
At one level, obesity is clearly a problem of simple physics, a result of eating too much and not expending enough energy. The more complex question, however, is why do some people eat more than others? Studies of human and mouse genetics over the past two decades have uncovered a number of pathways within the brain that play a key role in the control of food intake. A prime example is the leptin-melanocortin pathway, which we now know greatly contributes to mammalian appetitive behaviour. However, genetic disruption of this pathway remains rare and does not represent the major burden of the disease that is carried by those of us with 'common obesity'. In recent years, genome-wide association studies have revealed more than 100 different candidate genes linked to BMI, with most (including many components of the melanocortin pathway) acting in the central nervous system and influencing food intake. So while severe disruption of the melanocortin pathway results in severe obesity, subtle variations in these genes influence where you might sit in the normal distribution of BMI. As we now enter this 'post-genomics' world, can this new information influence our treatment and management of obese patients? |
X Demographics
Geographical breakdown
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Canada | 4 | 6% |
Netherlands | 4 | 6% |
Finland | 2 | 3% |
Italy | 1 | 2% |
Chile | 1 | 2% |
Spain | 1 | 2% |
India | 1 | 2% |
Other | 1 | 2% |
Unknown | 26 | 40% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 34 | 52% |
Scientists | 18 | 28% |
Practitioners (doctors, other healthcare professionals) | 9 | 14% |
Science communicators (journalists, bloggers, editors) | 3 | 5% |
Unknown | 1 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 1 | <1% |
Unknown | 138 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 30 | 22% |
Student > Ph. D. Student | 22 | 16% |
Student > Master | 22 | 16% |
Researcher | 15 | 11% |
Student > Doctoral Student | 6 | 4% |
Other | 18 | 13% |
Unknown | 26 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 35 | 25% |
Medicine and Dentistry | 23 | 17% |
Agricultural and Biological Sciences | 23 | 17% |
Veterinary Science and Veterinary Medicine | 9 | 6% |
Psychology | 4 | 3% |
Other | 13 | 9% |
Unknown | 32 | 23% |