Eric Fauman (he/him)

7.6K posts

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Eric Fauman (he/him)

Eric Fauman (he/him)

@Eric_Fauman

GWAS whisperer 'Nothing in biology makes sense except in the light of evolution' DMs open Executive Director, Integrative Biology @Pfizer

شامل ہوئے Aralık 2013
248 فالونگ5.7K فالوورز
Nikhil Milind
Nikhil Milind@TheNikhilMilind·
Although burden tests are a gold standard, various factors such as specificity and constraint reduce our power from rare-variant burden tests. Common variants, which are context-specific, provide critical information about the direction-of-effect. 16/n
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Veera Rajagopal 
Veera Rajagopal @doctorveera·
@Eric_Fauman Ah, very cool! I missed that! Didn't realize you were at the ASHG! I should start using LinkedIn (and bluesky) more!
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Veera Rajagopal 
Veera Rajagopal @doctorveera·
Had a great week in Boston meeting friends at the #ASHG2025, though this year's ASHG felt a bit duller than previous ones. Many important research works were presented as always. But there weren't a lot that's super exciting and everyone talk about. Perhaps, new discoveries from UK Biobank datasets are plateauing.
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Clifton Dalgard
Clifton Dalgard@panomics·
@AdrianoAguzzi The last Intro paragraph should convey the gaps of understanding that were framed by the background of the topic area in the previous sections and then state what your next logical step is to understand that gap with the approaches for your study and their rationale. Not results
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Eric Fauman (he/him)
Eric Fauman (he/him)@Eric_Fauman·
Not bad. Twitter used to be a nice place to do science.
Grok@grok

@Eric_Fauman @mbeisen @JoezMcfLy Based on public interactions, the most famous person to visit your profile is Atul Butte, the renowned bioinformatics expert and UCSF distinguished professor who engaged with your GWAS posts.

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Grok
Grok@grok·
@mbeisen @JoezMcfLy mbeisen Based on public interactions and your own posts, the most famous person to visit your profile is Curt Schilling, the MLB legend who blocked you after viewing it.
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JoezMcfly🇩🇴
JoezMcfly🇩🇴@JoezMcfLy·
Hey, @grok, who was the most famous person to visit my profile? It doesn't need to be a mutual, don't tag them, just say who it was
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Eric Fauman (he/him)
Eric Fauman (he/him)@Eric_Fauman·
@caina89 Very interesting work. Did you validate on phenotypes with known subtypes like T2D or HbA1c (hematologic vs glycemic)?
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Grok
Grok@grok·
As of June 20, 2025, Rasmussen Reports shows Trump's approval rating at 52%, not 56%. The 56% figure likely comes from an older January 2025 poll, making it outdated. Other pollsters like Quinnipiac report 38% and Economist/YouGov around 41-45%, showing wide variation. Polling methods differ, with Rasmussen often higher for Trump, but the 56% claim doesn't hold for current data. Always check multiple sources, as polls can be inconsistent.
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Eric Fauman (he/him)
Eric Fauman (he/him)@Eric_Fauman·
@DrAnneCarpenter @iRanitK The mind map feature is very nice. The pod cast feature seems gimicky at first but it's actually a fun way to make a new pile of research papers accessible for your commute.
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Anne Carpenter, PhD
Anne Carpenter, PhD@DrAnneCarpenter·
Help! Let’s say I have 200 scientific papers in my digital to-read pile I could stay in denial, or I could ask AI for help. Any workflows/tools to group them in some meaningful way? This alone would help mental load as I at least read abstracts And/or any good summary tools?
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Eric Fauman (he/him)
Eric Fauman (he/him)@Eric_Fauman·
@MariosGeorgakis Key insight: "At 72% of the gold-standard gene loci, other eGenes were detected providing potentially misleading gene targets." When the true causal gene was not an eGene "other eGenes were detected in 70% of the loci, which may lead to a misleading inference"
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Marios Georgakis
Marios Georgakis@MariosGeorgakis·
Most disease-associated GWAS signals fall in the non-coding genome🧬 Although assumed to influence expression, pinpointing the causal gene isn't easy. Two ways include: 1⃣eQTL mapping in relevant tissues/cells 2⃣in vitro CRISPRi screens This preprint compares the two👇
Marios Georgakis tweet media
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Eric Fauman (he/him)
Eric Fauman (he/him)@Eric_Fauman·
@jmuiuc @anshulkundaje "Reckless" implies the regime's actions are inadvertent. The goal of trump and the Republicans is to destroy scientific research and higher education in the US.
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Jian Ma
Jian Ma@jmuiuc·
@anshulkundaje Truly alarming how reckless policy decisions are gutting the future of science - and really, the future itself
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Anshul Kundaje
Anshul Kundaje@anshulkundaje·
Academic labs have been holding fort so far due to past active funding. Soon we're going to fall off the cliff. There continue to be multi dimensional shenanigans preventing federal funding from reaching us. Expecting a blood bath if things don't change soon and fast.
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Eric Fauman (he/him)
Eric Fauman (he/him)@Eric_Fauman·
The most famous heuristic in mapping gwas snps to genes is "it's usually the closest gene". But only slightly less well-known is this: "consider the colocalized phenotypes." bsky.app/profile/ericfa…
GIF
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Eric Fauman (he/him)
Eric Fauman (he/him)@Eric_Fauman·
@catgyoung That is the pretense. This regime is destroying research institutions because that's what autocracies do in order to centralize power and control the narrative.
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Dr. Catharine Young
Dr. Catharine Young@DrCatharineY·
The Trump administration will freeze $175 million in federal funding to the University of Penn due to its transgender policy. Science should be a force for progress, not politics. Restricting funding based on ideology undermines innovation, disrupts research, and will set the United States back. wsj.com/us-news/educat…
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Marios Georgakis
Marios Georgakis@MariosGeorgakis·
Important reads from this week on human genetics, multiomics, and precision medicine🧵 1⃣A new expression and splicing QTL resource from TOPMed In 14,324 whole blood and tissue samples, the study detects primary and secondary cis- and trans-e/sQTLs and colocalizes them with 10,000 signals from GWASs for 164 traits. 🔗medrxiv.org/content/10.110…
Marios Georgakis tweet media
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