*Essential Info* How Your Genes Influence Your Cannabis High: The CYP2C9 Gene

in #health5 years ago

Not everyone responds to weed the same way. I'm fascinated with why that is. The purpose of this article is to translate impossible-to-understand science jargon into plain English because this is essential information if you consume cannabis in any way, shape, or form. I was baffled that there wasn't a comprehensive write-up about this out there yet, so I did it myself.

Quick Summary

A gene called CYP2C9 makes an enzyme that breaks down THC (the main psychoactive ingredient in cannabis). Variations in this gene can cause a 3-fold difference in your ability to metabolize THC. Studies have shown that this can cause differences in how long-lasting and intense the effects of pot are for different people.

Also, your CYP2C9 variant may help predict how long you have to wait to pass a drug test after consuming cannabis, with certain genetic variants only needing a few days to clear the relevant molecule from their system and others needing up to 30 days.

Mapping the Human Genome: A Personalized Wellness Revolution

The landscape of medicine and wellness is quietly undergoing a radical transformation. Since we mapped the human genome in 2003, tens of thousands of studies, in different ways, are pointing to the same conclusion:

Each human being’s metabolism is unique. Generic dietary advice or using the same medical interventions for everybody just doesn’t match up with the countless differences observed between people’s individual biochemistry and metabolism.

In this article, you’ll learn how the principles of nutrigenetics and pharmacogenetics can help you understand your high, help you understand your body, and even help you pass a drug test.

CYP2C9: Destroyer of THC

CYP2C9 is a gene that contains instructions for building an enzyme also called CYP2C9. It is made by the liver and the GI tract. It is part of the Cytochrome P-450 family of enzymes.

Besides having one the coolest names around, the Cytochrome P-450 family of enzymes are all phase I detoxification molecules. This means they are responsible for the “first pass” of breaking down, or metabolizing, different substances. Cytochrome P-450 enzymes break down everything from prescription drugs to inhaled smoke to hormones like estrogen that our body produces on its own.

The chemical structure of the CYP2C9 enzyme is the perfect match for the chemical structure of THC, the main psychoactive molecule in marijuana. Because of this, as THC circulates throughout the body, when it comes in contact with CYP2C9, CYP2C9 chemically transforms THC into other molecules. When a substance is changed like this, the resulting molecule is called a metabolite.

The graphic below shows the chemical transformation catalyzed by CYP2C9. As you can see, it is a two-step process to break it down to the non-psychoactive metabolite, THC-COOH. You don’t need to worry about any of the chemical structure to understand this well, just know that CYP2C9 converts THC to THC-COOH.

Based on this image alone, you might imagine that more or less functional CYP2C9 in your body might also change the amount of THC in your body after smoking.

Genetic Polymorphisms: What makes you, you.

So, as you might have guessed already, we don’t all have the same “version” of the CYP2C9 gene. Just like you have variations in your genes that cause your eyes to be blue or brown, you have variations in the CYP2C9 gene that create your own unique metabolism. These variations are called Single Nucleotide Polymorphisms, or SNPs for short. If you’d like to read more in-depth about SNPs, check out this article I wrote. For the purposes of this article, just know the following:

  • SNPs are the commonly occurring variations in your genes. They are not mutations.
  • SNPs are identified with an “rs” number. For example, rs1057910 tells us exactly where that SNP is located in your DNA.
  • A SNP means that one letter of your DNA sequence varies from person to person.
  • Your allele type tells us which version of the SNP you have and is written with two letters, such as AA, AT, or TT.

In the above example, the “C” allele in example 1 is replaced with a “T” allele in example two. This is a SNP.

It’s fairly well-known that the cytochrome P-450 class of enzymes contain many SNPs, or variations, that change the function of each enzyme. For example, certain SNPs in the CYP2D6 gene are known to cause poor reactions to SSRI antidepressant drugs. And, a SNP in the CYP1A2 gene has a major effect on how long it takes to break down caffeine. This same SNP is also related to a 4-fold risk of high blood pressure and heart attack from excess caffeine consumption. Pretty significant stuff, right?

So, scientists thought it would be a good idea to test whether or not any SNPs in the CYP2C9 gene change the way we break down THC.

What the Studies Show

The first study on the pharmacogenetics (fancy word for how your genes impact your drug metabolism) of THC and CYP2C9 was done in 2005.(https://www.ncbi.nlm.nih.gov/pubmed/16112652)

This initial study was done with the enzymes in a petri dish, not in human subjects. However, they found that the CYP2C93 version of the enzyme (produced by C allele carriers) metabolized 30% less THC than the CYP2C91 version of the enzyme (produced by A allele carriers).

If this seems confusing, just know that in the initial petri dish study, one version of the enzyme was found to be 30% less effective at breaking down THC than the other. Since this was not done on human subjects, the question was raised: Will this translate to having an effect in the human body?

CYP2C9 In Human Subjects

A clinical study was done in 2009 which answered that question with a fairly definitive “yes”. 43 healthy volunteers were given 15 mg of oral THC and levels of THC and it’s metabolites 11-OH-THC and THC-COOH were measured over time. Additionally, their subjective response was reported. While this was a small study, its results were strongly significant.

It turns out that for each C allele someone carries, the less efficient the CYP2C9 enzyme becomes at breaking down THC.

So, CC carriers had on average THREE times more active THC in their system than AA carriers. AC carriers had roughly 2 times the THC of AA carriers.

You can see this in the graph below in the first column on the left.

Here’s another way of visualizing it looking at blood levels of THC over time:

Furthermore, because THC is converted into THC-COOH by the same enzyme, CC carriers had on average only 15% of the inactive metabolite in their system compared to AA carriers. You can see that pretty clearly in the farthest box on the right in that first chart above. Now, this gets really interesting because THC-COOH is the metabolite most urine drug tests are looking for to register whether or not someone has been smoking pot recently. More on that later.

CYP2C9 and Your High: The Subjective Effects

CC carriers reported more drowsiness and a longer effect from ingesting THCas shown by the graph below. Participants in the study reported their subjective experience over the course of 3 days. And, interestingly enough, CC variants showed a significant increase in drowsiness 72 hours later.

Since this study was done using orally consumed cannabis, its important to note the differences between smoking and eating edibles. When eating THC, the breakdown process starts in the gut, so CYPC29 starts doing it’s job before you even get high. So, it effects both how high you get, and how long it lasts. When smoked, CYP2C9 has less effect on how high you get right off the bat, but still has the same impact on how long the effects last.

There are so many potential further areas of inquiry. Different methods of smoking combined with CYP2C9 variants. CYP2C9 variants combined with other genes. The list goes on, and hopefully a more relaxed research climate around cannabis in the coming years will yield other interesting and useful studies.

CYP2C9 and Drug Tests

Contrary to popular belief, THC does not stay in your system for very long. Drug tests are looking for the THC-COOH metabolite, because it generally hangs around the body for about 30 days… UNLESS you have the CC variant of CYP2C9. Because so little THC gets converted into THC-COOH, there’s hardly enough of it to register on a urine test to begin with. It appears that after just a few days, CC carriers could pass a urine test as opposed to the 30 days it takes AA carriers.

Note how little THC-COOH is present in CC carriers. THC-COOH is stored in fat, so there is much less to store to begin with and detoxify overall.

You might be asking, “if this study was done in 2009, why haven’t I heard of it?” Well, the cost to get your DNA sequenced by 23andMe in 2009 was over $1000, making it much less accessible than it is now. Having this information just wasn’t relevant to most people. Now, you can get your genome sequenced for 99$ through 23andMe, and having this knowledge at your disposal is a lot more interesting if you can actually use it. (Full disclosure, if you purchase 23andMe through these links I get a small affiliate kickback.)

How Can I learn What CYP2C9 Variant I have?

If you have your 23andMe done, you can look up your CYP2C9 variant by going to the tools -> raw data section of your 23andMe login page. Then, copy and paste this into the search bar: rs1057910

Then, it will tell you your variant: AA, AC, or CC

Here’s a quick summary of the different variants:

AA– Most efficient CYP2C9 enzyme. Breaks down THC most fully and rapidly. Likely to experience the least amount of drowsiness from pot. Gets less high from edibles, high from smoking or edibles shorter in duration.

AC – Intermediate between AA and CC

CC – Least efficient CYP2C9 enzyme. Does not break down THC as completely. Likely to experience the most amount of drowsiness from pot. Gets WAY more high from edibles, high from smoking or edibles longer in duration.

Personally, I’m an AC.

What Else Does CYP2C9 Do?

THC is far from the only thing that CYP2C9 is responsible for. Blood thinning medications like warfarin and non-steroidal anti-inflammatory drugs like ibuprofen are some of the other substances it helps break down. In fact, poor metabolizer variants of CYP2C9 have been shown to heighten the risk of intestinal bleeding from using ibuprofen. It’s a pretty handy thing to know beyond just cannabis consumption.

Is this the only factor that influences how I feel about getting high?
To this, I answer a a very clear “NO”. This is just one of the many factors that influence your response to cannabis. While this study is significant, it is only the very beginning of understanding the complex dynamics at play. For example, there are other SNPs in the same gene that might further influence how efficient your CYP2C9 is. Note that in the graphs above, there is still some variation between carriers of the same variant. Hopefully this will be explored by further genetic studies.

The breakdown of THC is only one small piece of how your body responds to cannabis.

For example a SNP…

  • In the FAAH gene effect levels of craving after stopping smoking and greater or less neurological reward response to cannabis.
  • In the COMT gene affects how impaired your short-term memory is after smoking herb. One variant scored 40% better on average than the other on cognitive testing.
  • In SLC66A seems to effect better or worse decision-making skills after consuming THC, and in combination with COMT is a predictor of better or worse executive function.
  • In the PENK gene is associated with likelihood for cannabis dependence.
  • And SNPs in the ATK1, CNR1, and ABCB1 genes are associated with higher or lower likelihood for negative or psychosis-like symptoms after consuming cannabis. (Hey, I get it, the first time I hit a vaporizer I thought I was going to die)

Want to know more?

I'll be doing articles covering those SNPs more in depth. And, I also have put together an Endocannabinoid System Genomic Panel that I offer as part of my nutrigenomic coaching services that includes all those genes plus more. If you're interested in understanding the details of how you uniquely respond to cannabinoids or learning how your genetics can guide you to optimal health, drop me a line through the connect page on my site. I am crypto friendly and enjoy working with other traders on creating optimal health and breaking through limiting health barriers. (http://david-krantz.com)

I also did an interview about this topic with @michaelgarfield on the Future Fossils Podcast you can check out here that goes a bit deeper:


And, for the real nerds and other health practitioners I've got a free hour webinar on my site where I really dive deep into the genomics of the endocannabinoid system.


Thanks for reading! Hope you learned something new. Follow me for more articles like this one.


Hi David!

So glad you've joined Steemit! I'm looking forward to your posts on health, epigenetics and biohacking.

As an avid biohacker and health coach myself, I love reading all the new research, experimenting and seeing successes in those who learn the new habits to support a healthy lifestyle..

Probably shocking to you - I have actually not done my 23 and me profile yet. I have some privacy concerns and the way it may be used in the future - especially with health insurance. While I know there are ways to do the test completely anonymously I haven't set that up.

At the same time as Chris Kresser said: "Genes load the gun and environment (lifestyle) pulls the trigger."

With that in mind - and being an epigenetic coach yourself, how important do you think the 23 and me testing is?

In Peace, Love and Health ~T

Hey @Tamala! Always great to connect with other like minded health-interested folks. I'm testing the steemit waters and am really liking it so far.

I'm not that shocked, a lot of people are rightfully concerned about 23andMe's data habits. Its honestly very nebulous as to what the risks really are right now. I use their data for the analysis I do, and with any clients that are concerned I ship them a kit myself that buy, they use a fake name, and then there's nothing to even link it to their address.

In the next few months, I'm actually going to be switching to smaller, private company that has the same Illumina sequencing chip that 23andMe uses except the data is owned by the customer. And, my colleagues and myself have worked out a custom panel with them where we'll have access to all the SNPs they analyze in 23andMe from both version 4 and 5, the last two updates, plus some SNPs that aren't available in 23andMe at all. You'd never notice unless you were using their raw data, but they switch certain SNPs in and out when they make updates to their system. There were some amazing SNPs available in version 4 that I lost when they came out with the update last fall. Some neat ones in version 5 I didn't have access too previously as well, but I'm looking forward to having more control over what I can look at with a more ethical company.

I think genetic testing in general is really helpful information to know, especially if you're doing any kind of biohacking. It can really give you great information about "whats going on behind the lab value." Being able to look at specific pathways and get an understanding of which ones are functioning well and which ones could use support allows for precision that's just not possible (or would require really expensive lab testing) to discern other ways. For some things, it has it's drawbacks and lab testing is more useful. But, overall, with the type of information that's available now through genome-wide association studies, it's really powerful information to have about yourself.

For example, with genetic testing, my wife and I figured out why she was getting fat while I was losing weight on a more paleo/bulletproof style approach. I do all the cooking so she was eating what was right for my body, not hers. It wasn't until I looked at her genes did I really understand how I needed to modify her meals to give her a better balance of macros. Now, I add coconut oil and ghee, she adds olive oil and more starchy carbs.

One word of advice though, coming from someone who looks at this stuff all the time, is that many of the DIY gene analysis services (livewello, nutrihacker, etc) have really confusing or sometimes flat out wrong information because much of it is crowdsourced info. I've even found a few errors on Selfhacked (and hope they fixed them, cause I emailed em about it). So, if you decide to go at it yourself, make sure to double check source studies when you can.

Anyway, look forward to connecting with you more on steemit!

I learned something new! And I have most definitely followed you. Excellent contribution!

wow! what information we have here, clears up a few facts :) following you, would have loved to have resteemed this but only just found it!