
New tool can identify children who are likely to become obese in adulthood
The tool, which assesses a person's genetic risk of obesity, works twice as well as any other obesity risk predictor, academics said.
As well as identifying children at risk of obesity, it can also predict how well obese adults will respond to targeted weight loss programmes.
Academics used detail on genetic variations from more than five million people to create a tool called a polygenic risk score, which analyses people's genetics to work out their risk of developing obesity.
The tool could explain 17.6% of variation in body mass index score (BMI) from people in the UK, they found.
Researchers, led by academics at the universities of Copenhagen and Bristol, tested whether the risk score was associated with obesity using datasets of the physical and genetic characteristics of more than 500,000 people.
This included checking the tool on people taking part in the 'Children of the 90s' study – a long-term study in Bristol tracking families as children age.
They found that it could successfully predict weight gain during childhood – from the age of just two and a half – through to adolescence.
'Overall, these data show that polygenic scores have the potential to improve obesity prediction, particularly when implemented early in life,' the authors wrote in the journal, Nature Medicine.
Lead author of the research, assistant professor Roelof Smit from the University of Copenhagen, said: 'What makes the score so powerful is the consistency of associations between the genetic score and body mass index before the age of five and through to adulthood – timing that starts well before other risk factors start to shape their weight later in childhood.
'Intervening at this point could theoretically make a huge impact.'
He told the PA news agency that BMI is not a good predictor for a child's obesity risk in later life but the genetic predictor can offer insight into the risk from early years.
#BetterHealth offers a range of free NHS apps to help people eat better and get active, including the NHS Weight Loss Plan app.
Data shows it can help people lose 5.8kg on average over just 12 weeks. Find out more: https://t.co/Bv6bumO9ZU pic.twitter.com/XQuL0z6unA
— NHS London (@NHSEnglandLDN) July 25, 2023
'Essentially it's fixed at conception already very early in life, you're able to essentially quantify what someone's innate predisposition is for BMI,' he said.
'So, being able to say something about someone's innate biology for obesity risk.'
Meanwhile, the research team also looked at people taking part in 'intensive lifestyle intervention' programmes.
People with a higher risk score lost more weight, but were also more likely to regain it.
Prof Smit added: 'There is a huge amount of variation in how people respond to these interventions.
'What we observed was the higher someone's score was, the more they tended to respond to the intervention – people who had a higher score tended to lose more weight in the first year.
'And we also saw that people who had the higher scores tended to gain more weight.'
Dr Kaitlin Wade, associate professor in epidemiology at the University of Bristol and second author on the paper, said: 'Obesity is a major public health issue, with many factors contributing to its development, including genetics, environment, lifestyle and behaviour.
'These factors likely vary across a person's life, and we believe that some of these originate in childhood.
'We were delighted to contribute data from the Children of the 90s study to this exceptional and insightful research into the genetic architecture of obesity.
'We hope this work will contribute to detecting individuals at high risk of developing obesity at an earlier age, which could have a vast clinical and public health impact in the future.'
In 2022, some 64% of adults in England were estimated to be overweight or living with obesity.
Last week, MPs on the Health and Social Care Committee launched a review into how the Government is tackling the nation's obesity epidemic.
It comes after ministers pledged to 'launch a moonshot to end the obesity epidemic' in the one-year plan to improve the health of the nation.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


The Independent
3 days ago
- The Independent
Gut bacteria could help diagnose long Covid and chronic fatigue syndrome, researchers find
Bacteria in the gut could help diagnose long Covid and chronic fatigue syndrome, researchers have found. The debilitating condition, which can cause extreme tiredness, sleep problems, dizziness and brain fog, is often overlooked as there is no specific test to diagnose it. This means doctors have to simply rule out other illnesses. But research published in the journal Nature Medicine has looked at gut bacteria, immune responses and metabolism to find a way of diagnosing the condition. The findings, potentially relevant to long Covid due to its similarity with chronic fatigue syndrome, come from data on 249 individuals analysed using a new artificial intelligence (AI) platform that identifies disease biomarkers from stool, blood, and other routine lab tests. 'Our study achieved 90 per cent accuracy in distinguishing individuals with chronic fatigue syndrome, which is significant because doctors currently lack reliable biomarkers for diagnosis,' said study author Dr Derya Unutmaz, professor in immunology at the Jackson Laboratory in the US. 'Some physicians doubt it as a real disease due to the absence of clear laboratory markers, sometimes attributing it to psychological factors.' It is estimated that 404,000 people in the UK have chronic fatigue syndrome or ME, according to Action for ME. About half of the 1.9 million people in the UK with long Covid are also thought to have symptoms that are similar to ME. Although it is not yet known what causes chronic fatigue syndrome, there is evidence that certain infections, including but not limited to viruses, can trigger the illness. This new research, led by Dr Julia Oh, formerly at the Jackson Laboratory and now a microbiologist and professor at Duke University in North Carolina, investigates how the gut microbiome – the bacteria in your gut – and immune system interact in a patient with chronic fatigue syndrome. To conduct the study, researchers used data collected from the Bateman Horne Center, a leading ME/CFS, long Covid and fibromyalgia research centre in Salt Lake City, Utah. Dr Ruoyun Xiong, also a lead author on the study, developed a research tool called BioMapAI. This tool helped to compare gut bacteria, immune cells, blood test data, and clinical symptoms from 153 patients and 96 healthy participants over four years. Researchers found analysing immune cells proved the most accurate in predicting how severe the participants' symptoms were, but found data from gut bacteria helped predict participants' emotional symptoms and sleep disturbances. They found those with chronic fatigue had lower levels of butyrate, a beneficial fatty acid produced in the gut, along with other nutrients essential for metabolism, inflammation control, and energy. 'Despite diverse data collection methods, common disease signatures emerged in fatty acids, immune markers, and metabolites,' Dr Oh said. 'That tells us this is not random. This is real biological dysregulation. 'Our goal is to build a detailed map of how the immune system interacts with gut bacteria and the chemicals they produce. By connecting these dots, we can start to understand what's driving the disease and pave the way for genuinely precise medicine that has long been out of reach.'


Daily Record
6 days ago
- Daily Record
New tool can identify children who are likely to become obese in adulthood
The ground-breaking tool can also predict how well obese adults will respond to targeted weight loss programmes Obesity in children continues to be a major topic of discussion in Scotland. Around 33 per cent of kids aged two to 15 in Scotland are at risk of being overweight or obese, according to the Scottish Health Survey 2022. This is the highest number since 2011. Childhood obesity can be influenced by many factors such as lifestyle, environment, and even genetics. But what if there was a way that could measure a child's risk of becoming obese? Well, incredibly, this very tool has just been created by scientists. And it is hoped that one day, those at highest risk will get targeted support to prevent them from becoming obese in the first place. The tool, which assesses a person's genetic risk of obesity, works twice as well as any other obesity risk predictor, academics say. It can also predict how well obese adults will respond to targeted weight loss programmes. Dr Kaitlin Wade, associate professor in epidemiology at the University of Bristol and second author on the paper, said: 'Obesity is a major public health issue, with many factors contributing to its development. "These factors likely vary across a person's life, and we believe that some of these originate in childhood. We were delighted to contribute... data to this exceptional and insightful research into the genetic architecture of obesity. "We hope this work will contribute to detecting individuals at high risk of developing obesity at an earlier age, which could have a vast clinical and public health impact in the future." So, how did the study work? Academics used detail on genetic variations from more than five million people to create a tool called a polygenic risk score, which analyses people's genetics to work out their risk of developing obesity. The tool could explain 17.6 percent of variation in body mass index score (BMI) from people in the UK. Researchers, led by academics at the universities of Copenhagen and Bristol, tested whether the risk score was associated with obesity using datasets of the physical and genetic characteristics of more than 500,000 people. This included checking the tool on people taking part in the "Children of the 90s" study - a long-term study in Bristol tracking families as children age. They found that it could successfully predict weight gain during childhood - from the age of just two and a half - through to adolescence. "What makes the score so powerful is the consistency of associations between the genetic score and body mass index before the age of five and through to adulthood – timing that starts well before other risk factors start to shape their weight later in childhood," said assistant professor Roelof Smith, lead author of the research. "Intervening at this point could theoretically make a huge impact." Smith told the PA news agency that BMI is not a good predictor for a child's obesity risk in later life. However, the genetic predictor can offer insight into the risk from early years. "It's fixed at conception already very early in life, you're able to essentially quantify what someone's innate predisposition is for BMI," he said. "So, being able to say something about someone's innate biology for obesity risk." Meanwhile, the research team also looked at people taking part in "intensive lifestyle intervention" programmes. Join the Daily Record WhatsApp community! Get the latest news sent straight to your messages by joining our WhatsApp community today. You'll receive daily updates on breaking news as well as the top headlines across Scotland. No one will be able to see who is signed up and no one can send messages except the Daily Record team. All you have to do is click here if you're on mobile, select 'Join Community' and you're in! If you're on a desktop, simply scan the QR code above with your phone and click 'Join Community'. We also treat our community members to special offers, promotions, and adverts from us and our partners. If you don't like our community, you can check out any time you like. To leave our community click on the name at the top of your screen and choose 'exit group'. People with a higher risk score lost more weight, but were also more likely to regain it. "There is a huge amount of variation in how people respond to these interventions," Prof Smit added. "What we observed was the higher someone's score was, the more they tended to respond to the intervention. "People who had a higher score tended to lose more weight in the first year. And we also saw that people who had the higher scores tended to gain more weight."


The Independent
6 days ago
- The Independent
New test twice as effective as previous methods for predicting obesity
Scientists have developed a new DNA -based tool capable of predicting a child's risk of developing obesity in adulthood. The test, which analyses DNA from a blood sample, is thought to be twice as effective as previous methods and can identify risk before the age of five, allowing for targeted preventative strategies. Published in Nature Medicine, the scientists' research involved a vast genetic dataset of over five million people and can also predict how obese adults will respond to weight loss programmes. The World Obesity Federation forecasts that over half the global population will be overweight or obese by 2035. Despite its advancements, the new tool has limitations, such as being more accurate for people of European ancestry compared to those of African ancestry.