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Eric Fauman (he/him)

@ericfauman.bsky.social
1.4K followers 308 following 517 posts

GWAS whisperer. It's usually the closest gene. Executive Director, Integrative Biology, Internal Medicine Research Unit. Pfizer R&D. All views my own. Also cats.

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Eric Fauman (he/him) @ericfauman.bsky.social · 24/10/2025
@inmice.bsky.social Here's one for you www.sciencedaily.com/releases/202...
sciencedaily.com
New treatment cuts cholesterol by nearly 50%, without statins or side effects
Researchers have developed a DNA-based therapy that targets the PCSK9 gene to lower cholesterol naturally. Using polypurine hairpins, they increased cholesterol uptake by cells and reduced artery-clog...
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Eric Fauman (he/him) @ericfauman.bsky.social · 19/10/2025
If you didn't get your certificate were you really even there?
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Eric Fauman (he/him) @ericfauman.bsky.social · 28/09/2025
I did filter to p < 5e-8. But we also some filtering to independent lead snps. We also have sissies studies ranging from n of a few hundred to a few million subjects.
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Eric Fauman (he/him) @ericfauman.bsky.social · 28/09/2025
It's a little odd. I am plotting the log10 of the -log10(pvalue) on the x axis so in this plot the null signal drops off much faster than what we observe in the @gwascatalog.bsky.social I'm curious if anyone has a hypothesis why the lead SNP p-values would have this distribution.
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Eric Fauman (he/him) @ericfauman.bsky.social · 28/09/2025
Sounds great!
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Eric Fauman (he/him) @ericfauman.bsky.social · 28/09/2025
The effect size in gwas catalog are harder to compare because they are not necessarily in standard deviation units.
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Eric Fauman (he/him) @ericfauman.bsky.social · 28/09/2025
Oh you win! Yes, all are inappropriate attempts to avoid underflows.
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Eric Fauman (he/him) @ericfauman.bsky.social · 28/09/2025
Bonus question. Why is the plot of log10(count) as a function of log10(-log10(p)) a straight line? Recall, the data is all the lead SNPs recorded in the GWAS catalog.
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Eric Fauman (he/him) @ericfauman.bsky.social · 28/09/2025
Quick quiz. This is a plot of how often each p-value appears in this @gwascatalog.bsky.social. Actually I binned the -log10(p) values to their integer values (e.g., 8-9, 9-10, etc). I'm highlighting 3 outliers here, in orange. What are these p-values and why do they diverge so much?
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Eric Fauman (he/him) @ericfauman.bsky.social · 28/09/2025
Getting ready for ASHG25 here in Boston! Who's coming to town? As you know, I am fascinated by extreme GWAS p-values. Will we see anything beyond the current record holder, 10^-28538, for eye color. Interestingly, the p-values for all lead SNPs in the @gwascatalog.bsky.social follow a power law
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Eric Fauman (he/him) @ericfauman.bsky.social · 16/08/2025
For fun I'm also tracking the room temperature, humidity and CO2 which all increase during the workout, as expected. All the analysis, charting and graphs were done by GPT5 operating on a google sheet where I collected the minute by minute stats.
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Eric Fauman (he/him) @ericfauman.bsky.social · 16/08/2025
GPT4o pointed me to a device that measures core and skin body temperature. In gold you can see my core body temp continues to rise even after I reach my max heart rate (red), thus requiring further decreases in the work output (blue). Skin temperature drops during the workout, thanks to fans + sweat
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Eric Fauman (he/him) @ericfauman.bsky.social · 16/08/2025
This graph plots a study I did on myself which involves trying to maintain a heart rate of exactly 123 bpm for 45 minutes. Doing so requires adjusting the work output. In this plot the red line is my heart rate while the blue line is the work output, which you can see decreases over time.
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Eric Fauman (he/him) @ericfauman.bsky.social · 16/08/2025
Specifically, the phenomenon is called cardiovascular drift and it is a consequence of the body having to do the mechanical work and then also additional work to dissipate the heat generated by the effort, especially the vasodilation to direct internal body heat to the surface.
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Eric Fauman (he/him) @ericfauman.bsky.social · 16/08/2025
Years ago I asked on Twitter why my heart rate would continue to climb even after I fixed the speed and incline on my treadmill. At the time, no one on Twitter could give me a satisfactory answer. But now GPT4o was able to answer it and suggested approaches to quantify the phenomenon.
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Eric Fauman (he/him) @ericfauman.bsky.social · 16/08/2025
Isn't that the beginning of the movie "Brazil"?
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Eric Fauman (he/him) @ericfauman.bsky.social · 24/06/2025
This was the random page on the internet that set me down this rabbit hole: www.tomsguide.com/wellness/fit...
tomsguide.com
Slash your biological age by up to 16 years by doing this one thing during your daily walk — new study says
This is one hack that could increase your life expectancy
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Reposted by Eric Fauman (he/him)
Aaron Rupar @atrupar.com · 24/06/2025
DeGETTE: Will you commit that neither you or anyone else at HHS will take retaliatory action against the brave scientists at NIH? Should be an easy answer bc it's illegal RFK Jr: I can commit that we are absolutely depoliticizing science at NIH for the first time D: I asked you a simple question
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Eric Fauman (he/him) @ericfauman.bsky.social · 23/06/2025
It could be like designing an antibody to reduce circulating cystatin C levels in an attempt to improve kidney function...
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Eric Fauman (he/him) @ericfauman.bsky.social · 23/06/2025
And if that's the case, then we haven't really established a causal link between making people walk faster and seeing them age slower.
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Eric Fauman (he/him) @ericfauman.bsky.social · 23/06/2025
This makes no sense to me. How does genetically predicted walking speed relate to biological aging (here as telomere length( except as some sort of biomarker of overall health? www.nature.com/articles/s42...
nature.com
Investigation of a UK biobank cohort reveals causal associations of self-reported walking pace with telomere length - Communications Biology
Mendelian randomisation analysis of the UK Biobank cohort, supported by analyses of accelerometer-measured activity intensity, reveals that genetically-determined walking pace is associated with longe...
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Eric Fauman (he/him) @ericfauman.bsky.social · 07/06/2025
To add to your weekend reading, check out this nice report on the Genes & Health cohort from Hye In Kim, David van Heel and many many more: www.medrxiv.org/content/10.1...
medrxiv.org
Exome sequencing and analysis of 44,028 British South Asians enriched for high autozygosity
Genes and Health (G&H) is a biomedical study of adult British-Pakistani and -Bangladeshi research volunteers enriched for autozygosity. We performed whole exome sequencing in 44,028 G&H participants, ...
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Eric Fauman (he/him) @ericfauman.bsky.social · 26/05/2025
Signed
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Eric Fauman (he/him) @ericfauman.bsky.social · 26/05/2025
Please consider signing.
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Eric Fauman (he/him) @ericfauman.bsky.social · 26/05/2025
Thanks for these caveats. I guess I'm just surprised a major chromosomal rearrangement can fix in a population so quickly with no apparent impact on the effective population size. Is there good literature on this across other species.
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Eric Fauman (he/him) @ericfauman.bsky.social · 25/05/2025
(I did hedge a bit in my opening post calling it a "possible bottleneck")...
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Reposted by Eric Fauman (he/him)
Yang Luo @y-luo.bsky.social · 25/05/2025
Pirruccello #eshg2025 - “There is really one game in town right now that is @ukb UKB.” - no one else is producing image data in healthy heart at this scale. @ukbiobank.bsky.social Taking a deep-dive into image-derived phenotypes such as sphericity and cardiac age acceleration.
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Eric Fauman (he/him) @ericfauman.bsky.social · 25/05/2025
This looks great. Reminds me to set aside time to read the whole thing.
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Eric Fauman (he/him) @ericfauman.bsky.social · 25/05/2025
Yes, I saw that paper but don't know enough to weigh the claims of either paper. Have you registered an opinion? We do know chimps have 48 chromosomes and we have 46 so there must have been a first fusion carrier and that must have caused some reproductive difficulties.
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Eric Fauman (he/him) @ericfauman.bsky.social · 25/05/2025
Interestingly the original paper doesn't say the 99% went extinct, it says they were "lost" to our lineage, which is consistent with my model. The quote: "98.7% of human ancestors were lost at the beginning of the bottleneck, thus threatening our ancestors with extinction".
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Eric Fauman (he/him) @ericfauman.bsky.social · 25/05/2025
Any population geneticist want to weigh in on whether any of this makes sense.
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Eric Fauman (he/him) @ericfauman.bsky.social · 25/05/2025
In this model the larger population of unfused individuals persisted for up to 800k years. There's a report of H erectus remains from only 100,000 years ago. Whether we outcompeted our unfused cousins or it was just blind luck I think is not known. www.nature.com/articles/s41...
nature.com
Last appearance of Homo erectus at Ngandong, Java, 117,000–108,000 years ago - Nature
Bayesian modelling of radiometric age estimates provides a robust chronology for Homo erectus at Ngandong (Java), confirming that this site currently represents the last known occurrence of this speci...
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Eric Fauman (he/him) @ericfauman.bsky.social · 25/05/2025
In this model the effective population size reflects some kind of weighted sum of (reduced cross viability with the larger unfused population) and (higher reproductive success with the smaller fusion carriers). In absolute terms I imagine there was a "bottleneck" of one chr2 fusion carrier.
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Eric Fauman (he/him) @ericfauman.bsky.social · 25/05/2025
All the non-fusion carriers are still around but we'd expect reduced reproductive success between fusion carriers and non-carriers. No massive extinction event. Just a genetic barrier between the original population and the fusion carriers.
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Eric Fauman (he/him) @ericfauman.bsky.social · 25/05/2025
Let's imagine a child was born 900kya with a chromosome 2 fusion. Chromosomal fusions occur today in 1:1000 live births. Beating expectations this individual was able to reproduce, nucleating a small cohort of chr2 fusion carriers molecularcytogenetics.biomedcentral.com/articles/10....
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Eric Fauman (he/him) @ericfauman.bsky.social · 25/05/2025
This figure and the coverage of the paper interpret the findings to mean that 99% of the human ancestors alive at the time were wiped out by some cataclysm like major climate change. See here: www.nature.com/articles/d41... But what if there was no extinction event, just reproductive isolation
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Eric Fauman (he/him) @ericfauman.bsky.social · 25/05/2025
This paper from late 2023 got a lot of attention in both the scientific and popular press based on the claim that the effective population size of humans was reduced to 1,280 individuals about 900k years ago www.science.org/doi/10.1126/... This is the authors' model:
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Eric Fauman (he/him) @ericfauman.bsky.social · 25/05/2025
I was today years old when I realized that the Chromosome 2 fusion event which is unique to modern humans probably coincides with a possible population bottleneck event ~900kya. Could the one have caused the other? This is my adaptation of the published figure DOI: 10.1126/science.abq7487
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Eric Fauman (he/him) @ericfauman.bsky.social · 25/05/2025
In the comments section I saw someone else who got it in 3 and their first two guesses were: CLEAR RIGHT which I thought was almost too perfect.
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Eric Fauman (he/him) @ericfauman.bsky.social · 25/05/2025
From Adam Butterworth: worth getting embroidered:
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Eric Fauman (he/him) @ericfauman.bsky.social · 11/05/2025
Happy Caturday! These are Mage and Moxie, brothers to my avatar cat, Mojo.
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Eric Fauman (he/him) @ericfauman.bsky.social · 02/05/2025
How do you mean? They do a good job of keeping up with published GWAS. And then open targets calculates credible sets for all the full summary statistics in the catalog.
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Eric Fauman (he/him) @ericfauman.bsky.social · 17/04/2025
Yes, Mojo, the all black cat, is my mews and inspiration. He's patiently waiting for the first pet association wide study, aka PAWS. Also, I'll be at Hinxton from April 28 to May 1st. Love to catch up with anyone who might be around then.
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Reposted by Eric Fauman (he/him)
ACLU of Massachusetts @aclum.bsky.social · 14/04/2025
We’re in U.S. District Court in Burlington, Vermont for Rümeysa Öztürk’s hearing. Today, the legal team is asking the judge to release her from detention. Ideas aren’t illegal. Rümeysa must be released.
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Eric Fauman (he/him) @ericfauman.bsky.social · 14/04/2025
But do you put two spaces after a period. I hear we're not supposed to do that anymore.
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Eric Fauman (he/him) @ericfauman.bsky.social · 13/04/2025
It is now 2025. There are 10s of thousands of gwas. I hope @opentargets and similar tools will make it easier for everyone to consider the full complement of phenotypes caused by the genetic variant of interest. In my experience this makes it far easier to infer the likely causal gene.
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Eric Fauman (he/him) @ericfauman.bsky.social · 13/04/2025
The two themes, glucose biology and hemoglobin biology, together explain 739 of the HbA1c implicated genes even though they overlap at only 117 implicated genes. I guess HbA1c really is the perfect blend of a metabolite QTL and a protein QTL!
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Eric Fauman (he/him) @ericfauman.bsky.social · 13/04/2025
The 2nd group includes phenotypes like red blood cell count, bilirubin measurement, reticulocyte count. The 421 L2G associated genes are enriched in red blood cell markers and phenotype maayanlab.cloud/Enrichr/enri...
maayanlab.cloud
Enrichr
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Eric Fauman (he/him) @ericfauman.bsky.social · 13/04/2025
I'll give the punchline first: Clustering all the phenotypes based on the associated loci reveals two distinct sets of phenotypes The 1st includes traits like: Type 2 diabetes, drugs for t2d, glucose. L2G links 201 unique genes. These are enriched for islet biology: maayanlab.cloud/Enrichr/enri...
maayanlab.cloud
Enrichr
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Eric Fauman (he/him) @ericfauman.bsky.social · 13/04/2025
So that's what I did. I wrote a script to loop through all HbA1c loci, and for each locus I recorded all the other phenotypes that colocalize with HbA1c. 1300 unique traits 999 unique gene symbols. What did I find?
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