Uncover the secrets of genetic code: what is the original sin of not being able to lose weight?

Maybe it's because it's the end of the year and we're about to face all kinds of New Year's Eve dinners, so the topic of weight loss has become more and more popular. It's said that weight loss is an eternal topic. In addition to ordinary people's attention, the scientific community is also constantly studying it. Just recently, the editor saw a very interesting research result on weight loss. This study from the University of Connecticut in the United States shows that if one partner in a couple works hard to lose weight, the other partner will lose weight even if they do nothing!

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This phenomenon is called the "ripple effect", which means that when one partner starts to lose weight, it will also affect the other's lifestyle and eating habits, which will often change accordingly, making it easy to "lose weight without doing anything". So comrades who want to lose weight, start urging your partner to lose weight now, so that you can gain and lose weight together.

Some netizens joked: If you are single, won’t you never lose weight in your entire life?

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In fact, losing weight has nothing to do with being single, and of course it does not entirely depend on your willpower. For example, some people gain weight just by drinking water, while others remain slim no matter how much they eat. And why do some people lose weight visibly in a short period of time when they go to the gym, while others show no change?

This is probably "destined" - influenced by genes. Among the factors that cause obesity, one very important factor is heredity. According to relevant research, genetic factors have an important impact on obesity. If one parent is obese, the obesity rate of children is 40%. Among genes, there are more factors that affect body shape, such as sports genes, nutritional metabolism, etc., which can be learned through genetic testing.

Your unique genes can help you understand yourself better

When it comes to genetic testing, many people think it is very complicated, and even think it is not the same thing as DNA testing, but it is not. The so-called genetic testing detects the specific position of the gene on the chromosome, which is called the "gene locus". This is also an important factor that determines our individual differences.

There are more than 7 billion people in the world, and no one has the same genes. Therefore, a genetic test can not only let you know why you can't lose weight and deepen our understanding of ourselves, but also help you estimate the risk of certain diseases. For example, American movie star Angelina Jolie was diagnosed with a BRCA1 gene defect, which means she has a high chance of developing breast cancer and ovarian cancer. For this reason, Jolie had her breasts and ovaries removed.

In addition, from a medical perspective, analyzing the secrets hidden in genes can also help us understand the formation mechanism of diseases and be of great help in the development of new drugs.

Extracting valuable information from massive amounts of data is not easy

The secrets contained in genes, after analysis, are not only of great significance to individuals, but also of great help to medical research.

By accessing raw data from tens of thousands of genomes, bioinformaticians and computational biologists are able to discover entirely new disease-causing DNA variants that were previously undetectable using smaller datasets. This allows them to find rare mutations as therapeutic targets that could suppress disease and identify previously overlooked variants in well-known cancer-causing genes.

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However, collecting, analyzing, and storing raw data from large genomic datasets and ensuring the scientific accuracy of the results is not only complex but also expensive. Therefore, in order to maximize the potential of genomic analysis, they need tools that can provide fast and reliable data processing capabilities and can scale cost-effectively.

High-performance platform accelerates genetic analysis and advances scientific development

Especially now that the healthcare industry is moving from a one-size-fits-all approach to a personalized precision disease treatment model, and medical professionals are increasingly using genomic testing and analysis to treat personal diseases, this places extremely high demands on testing tools.

Intel and industry players are working closely together to develop a powerful solution for high-performance computing (HPC) clusters and optimized genomics codes to help address today's genomic data challenges. With this solution, scientists can cost-effectively accelerate genomic analysis on a low-cost and unified basis, providing high performance, balance, scalability, and elasticity for current and future genomic workloads.

This efficient genome analysis system can fundamentally change the ability of bioinformaticians and computational biologists to conduct research. With faster and more reliable genome sequencing data processing, the pace of research discovery can be accelerated. With the huge amount and diversity of genome sequencing data, researchers can discover extremely rare variants and quickly explore the root causes of rare genetic diseases.

Accelerating genomic analysis using high-performance clusters can reduce the time required to go from raw sequencing data to treatment plans.

This will bring more possibilities to medical and biological research. In the future, perhaps precision medicine characterized by molecular profiles and personalized treatments will end the long and arduous diagnostic process, change the way we diagnose and treat injuries and diseases, and benefit more people.

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