Podcast Breakdown

Which Genes Impact Your Longevity The Most?

How To Decode Your Genes & Unlock Key Insights To Living Longer & Aging Well

Introduction & Guest Bio:

In this episode of the Ben Greenfield Fitness podcast, Joe Cohen shares some resources on how to use your DNA data to increase longevity and age well.

Joe Cohen is a thriving biotech entrepreneur, author, speaker, and founder of SelfDecode, SelfHacked, and Jo Supplements. He began his own personal health journey when he realized that several health problems like inflammation, brain fog, fatigue, digestive problems, anxiety, depression, and other issues were caused by a combination of genetic variants in his DNA. After months of research and thousands of PubMed articles, Joe was able to improve his health. He then founded SelfHacked, the resource that was missing when he needed it most.

His mission is to help people gain access to the most up-to-date, unbiased, and science-based ways to optimize their health. Learn more about how you can optimize your health using your DNA data and labs with SelfDecode.

Episode Highlights

SelfDecode’s business model

Other companies use their users’ data to sell to drug companies. SelfDecode never sells your data and focuses on giving users the most up-to-date, science-backed health information so you have a clear health plan on your terms, and your private genetic data stays private.

Health recommendations

Most companies analyze about 1-2 of the most common genetic variants for any health report. Beyond this, the health recommendations are not personalized to each person – it’s usually generalized advice that works for most people.

SelfDecode analyzes thousands of genetic variants per health report using the latest science, and your health recommendations are prioritized based on your unique DNA – because what works for most people may not work for you.

Your genes don’t get the final say.

Joe won the genetic lottery of bad genes. He lived most of his youth with brain fog, chronic fatigue, anxiety, low mood, and more. But once he understood the root causes of these issues, he was able to make diet, lifestyle, and supplement changes that counteract these genes in order to increase his longevity, feel more grounded, and active.

Decode your genes to increase your longevity

There has been a surge of new research into longevity enhancement in an attempt to capture people’s attention. The truth is, most of it is not personalized, with no real data behind them.

SelfDecode has created software that promotes REAL personalized health by finding your polygenic risk scores for any specific health condition and uses your genetic data to help you understand the root causes of your symptoms.

Episode Summary

SelfDecode is using AI to make better health recommendations based on your genes, labs, and environmental data. It’s the only company that eliminates the guesswork in which health actions you should be taking to improve your health. As SelfDecode’s users grow, so does its’ team – SelfDecode now has a team of over 88 top scientists, engineers, and product experts working together to produce a cutting-edge precision health tool that is revolutionizing the way we make health decisions.

Because every person’s DNA is unique, each person’s health regimen needs to look different. The majority of modern health care is what works for “most people”, but Joe Cohen personally knows that what works for most doesn’t always work for him. Because of this, he was able to create software that promotes REAL personalized health with different health recommendations for each individual, based on their unique DNA and lab data.

To learn more about SelfDecode and how you can decode your genes to improve your health, visit this page.

To find more podcast episodes featuring Ben Greenfield and Joe Cohen, check out “How To Decode Your Genome, Unlock The Nitty-Gritty Details Behind Your DNA, Discover Your Good Genes, Your Bad Genes & More.,” then later on “32 Ways to Stimulate Your Vagus Nerve, Fine-Tune Your Nervous System & Self-Hack Your Hormones.” 

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