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Sasha Gusev

@sashagusevposts.bsky.social
7.4K followers 722 following 1.1K posts

Statistical geneticist. Associate Prof at Dana-Farber / Harvard Medical School. www.gusevlab.org

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Sasha Gusev @sashagusevposts.bsky.social · 29/09/2026
Claude made me an app to keep track of exploratory tasks on agentic projects (which quickly get out of control in the session). Point an agent at the workspace/prompt and it will populate tasks as it goes. Everything is recorded in markdowns/csvs. Code: github.com/sashagusev/f...
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Aylwyn Scally @aylwyn-scally.bsky.social · 27/08/2026
This is a thoughtful piece by @ent3c.bsky.social, articulating a view of hereditarianism that I think is shared by many in anthropology, psychology & elsewhere. It's also one that I, as a geneticist working on human evolution, fundamentally disagree with. ericturkheimer.substack.com/p/the-cofnas...
ericturkheimer.substack.com
The Cofnas Manifesto
The social consequences of hereditarianism
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Sasha Gusev @sashagusevposts.bsky.social · 24/08/2026
It is good to keep in mind that Trump & co's attacks on these disciplines have faced their biggest challenge in courts, typically on 1st amendment, academic freedom, and labor law grounds (see examples below). So I would like to see the left move towards, not away, from defending such principles.
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Sasha Gusev @sashagusevposts.bsky.social · 23/08/2026
Seeing some arguments for firing Cofnas like this one, that (scare quotes) academic freedom should not apply to pseudo-scholarship and taxpayers shouldn't fund scholar-activism. I think this is wrong. /1
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Kevin Bird @stairwaytokevin.bsky.social · 17/08/2026
It's ironic that "woke 1" as activism was pretty much a failure at all goals except 'raising awareness' but it turned out the mere act of raising awareness to ongoing inequities was enough to turn elites into reactionary authoritarians, completely vindicating the theoretical foundation of "woke"
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Sasha Gusev @sashagusevposts.bsky.social · 17/08/2026
I wrote a little bit about the data on recent DEI efforts in academic hiring (inspired by some recent articles). A few interesting charts and hot takes below. 🧵
theinfinitesimal.substack.com
What actually happened to faculty hiring under DEI?
...
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Sini Nagpal @nagpalsini.bsky.social · 15/07/2026
Excited to share 2 important milestones in my academic journey- Our work on “Pervasive interactions between exposures & polygenic risk can inform more effective clinical & behavioral interventions,” showing PGSxC interactions & their utility, is out in #NatureGenetics @genomestake.bsky.social
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Sasha Gusev @sashagusevposts.bsky.social · 20/07/2026
Over the weekend GPT built me a lab management app that is more effective than anything I've ever used (a bunch of spreadsheets in Dropbox).
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Sasha Gusev @sashagusevposts.bsky.social · 16/07/2026
Very exciting new method for inferring latent disease trajectories, led by the tireless Dr. Urbut with Natarajan and Parmigiani labs. If you're considering a postdoc in this area talk to Sarah! www.nature.com/articles/s41...
nature.com
A Bayesian framework for longitudinal EHR and genetic discovery - Nature
A Bayesian generative framework that integrates longitudinal electronic health records with genetic data to identify latent disease signatures is presented.
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Sasha Gusev @sashagusevposts.bsky.social · 10/07/2026
How are NIH abstracts changing with the new administration? A short 🧵 on common term trends over time: sashagusev.github.io/nih-abstract...
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International Genetic Epidemiology Society @geneticepi.bsky.social · 01/07/2026
We're excited to have an incredible lineup of invited speakers at #IGES2026 this fall! Josée Dupuis, @mikeinouye.bsky.social, Sriram Sankararaman, and @sashagusevposts.bsky.social will present on cutting-edge topics in complex disease genetics, from multi-omics integration to biobank-scale methods.
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Sasha Gusev @sashagusevposts.bsky.social · 30/06/2026
Anyone have a recommendation for tracking and organizing AI agent work on a codebase? Linear.app? Ideally with an emphasis on organization.
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Kevin Bird @stairwaytokevin.bsky.social · 28/06/2026
Twitter is going kind of crazy about crime and genetics right now (What's new?). My next post is a deep dive into a paper behind a widespread claim that brutal execution in Medieval Europe selected for reduced aggression, allowing civilization to develop. The title says it all, really.
sequencesandconsequences.substack.com
Capital punishment is not a breeding program
No, medieval execution didn't "genetically pacify" Europe
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jdelafuente.bsky.social @jdelafuente.bsky.social · 05/06/2026
1/9 🚨 BREAKING OUT OF STEALTH MODE 🚨 Multivariate GWAS in Genomic SEM now runs on a laptop! New preprint + package update: a closed-form analytic solution makes multivariate GWAS ~800× faster, cutting runtimes from hours on HPC clusters to minutes on a personal computer.
static.klipy.com
The Predator Emerges
ALT: The Predator Emerges
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Judith Kribelbauer @jk-swietek.bsky.social · 08/06/2026
Recommend read! Struggling to implement code/bring your thoughts on paper is what builds topic-level expertise. Great tool for everyone already on the other side of the learning journey, but what about trainees? Would I have wanted it for myself when I started out? Not entirely sure.
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Sasha Gusev @sashagusevposts.bsky.social · 07/06/2026
I wrote about AI in academia. "PhD-level thinking", LLM bias, grunt work, alignment, AGI, data center water use, AI politics -- something for everyone.
open.substack.com
Thoughts on AI in academia
PhD-level thinking, LLM bias, alignment, AGI, data centers, and AI politics
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Sasha Gusev @sashagusevposts.bsky.social · 27/05/2026
I asked GPT-5.5 and Opus-4.7 to generate nonpartisan political candidate bios. Then in a new session I asked the models to help me rank candidates to vote for from the full list. GPT was 5x more likely to put a GPT-generated candidate bio in the top half.
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Joanna Bryson @j2bryson.bsky.social · 23/05/2026
www.science.org/doi/10.1126/...
science.org
Semantics derived automatically from language corpora contain human-like biases
Computers can learn which words go together more or less often and can thus mimic human performance on a test of implicit bias.
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Ryan Gutenkunst @ryangutenkunst.bsky.social · 23/05/2026
Especially concerning when we know DOGE was using AI models to identify “DEI” projects to cut. A self-reinforcing cycle against women and URM researchers.
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Sasha Gusev @sashagusevposts.bsky.social · 23/05/2026
I assigned random gender/ethnicity labels to scientific abstracts from the literature and then asked Claude to do a thematic analysis. Claude identified a clinical versus computational split for female/male authors and a DEI focus for Black/URM authors. All in completely random data.
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Kevin Bird @stairwaytokevin.bsky.social · 18/05/2026
First real post on the new blog! If you follow human genetics, you've likely of "missing heritability". If you look at twins to estimate heritability, you get values much larger than what molecular genomic methods produce. IQ, for example, goes from 50-80% heritability to 10-15%. Which is right?
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Sasha Gusev @sashagusevposts.bsky.social · 16/05/2026
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Molly Przeworski @mollyprz.bsky.social · 15/05/2026
Happy to highlight new findings by Vanesa Getseva and Lin Poyraz about the sources of variation in germline mutation rates among humans: www.biorxiv.org/content/10.6... Joint work with Anastasia Stolyarova and @ipsitaagarwal.bsky.social. 1/n
biorxiv.org
A sibling study of variation in parental mutation rates
People are born with variable numbers of de novo germline mutations (DNMs), depending primarily on the ages of their parents. To explore additional causes, we developed an approach to call DNMs from nucleotide differences between siblings in genomic regions inherited identical by descent from both parents. Applying it to whole genome sequences from 28,985 sibling pairs of diverse genetic ancestries present in the UK Biobank and All of Us datasets, as well as 2,330 trios, we identified >800K autosomal DNMs and characterized mutation phenotypes in 27,645 sets of parents. We found subtle shifts in the mutation spectrum but no differences in total DNM rates among genetic ancestry groups, or between smokers and non-smokers. Testing for associations between parental mutation phenotypes and their burden of loss-of-function and deleterious missense variants in a set of 180 DNA repair and maintenance genes, we discovered that disruptions in REV1 and LIG1 increase germline mutation rates, and thus that rare mutator alleles segregate in population cohorts. ### Competing Interest Statement The authors have declared no competing interest. NIH, R35 GM083098
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Dwarkesh Podcast @dwarkesh.skystack.xyz · 08/05/2026
David Reich – Why the Bronze Age was an inflection point in human evolution • "Instead of being quiescent, natural selection is everywhere."
dwarkesh.com
David Reich – Why the Bronze Age was an inflection point in human evolution
"Instead of being quiescent, natural selection is everywhere."
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Sasha Gusev @sashagusevposts.bsky.social · 07/05/2026
New work from us pooling together clinical sequencing data to identify large effect common risk variants for rare cancer types. This included a novel HLA locus that interacts with HPV infection to increase Anal Cancer risk. Carver et al. (2026) www.medrxiv.org/content/10.6...
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Nicholas Mancuso @nmancuso.bsky.social · 14/04/2026
Thrilled to see this out. What started out as a chat several years back with @drfejzo.bsky.social about leveraging publicly available data on hyperemesis gravidarum GWAS turned into a wonderful collaboration with April Shu, @mvaudel.bsky.social, @xwww.bsky.social and many others! rdcu.be/fdl9k
rdcu.be
Multi-ancestry genome-wide association study of severe pregnancy nausea and vomiting
Nature Genetics - Multi-ancestry GWAS meta-analysis identifies risk loci for severe nausea and vomiting of pregnancy. Downstream analyses explore maternal and fetal contributions of these loci and...
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Adam Auton @adamauton.bsky.social · 08/04/2026
Delighted to share our latest research from the 23andMe Research Team, just published in @nature.com ! We looked at data from >27,000 participants to uncover how human genetics influences weight loss efficacy and side effects of GLP-1 medications like semaglutide. A short thread 🧵👇
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Sasha Gusev @sashagusevposts.bsky.social · 07/04/2026
Some slides from a recent talk on missing heritability. www.dropbox.com/scl/fi/kvogj...
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Sasha Gusev @sashagusevposts.bsky.social · 04/04/2026
A little widget to play around with the various inputs and outputs that go into soft money research lab finances on a 10-year outlook. sashagusev.github.io/PISim/
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Sasha Gusev @sashagusevposts.bsky.social · 01/04/2026
Here's a little widget to play with the data across journals (as well as download the raw CSVs). sashagusev.github.io/Genetics_Pub...
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Sasha Gusev @sashagusevposts.bsky.social · 01/04/2026
Monthly median Received to Accepted time (days) at Nature Genetics
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Sasha Gusev @sashagusevposts.bsky.social · 01/04/2026
*long whistle*
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Sasha Gusev @sashagusevposts.bsky.social · 26/03/2026
A little jukebox that plays the top hits from a desired country and year (ordered by the most distinct hits for that country). sashagusev.github.io/world_music/
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Sasha Gusev @sashagusevposts.bsky.social · 24/03/2026
Asked the AI to make a fun slide about potential de-skilling from AI use. Need to specify more clearly what I mean by "fun".
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Pieter T. L. Beck @ptrbck.bsky.social · 23/03/2026
A week ago @terzake.bsky.social gave a platform to Nathan Cofnas. At some point, Cofnas said: "The people who do know, the experts, are not the ones calling me a racist pseudoscientist." He received no critical questions about this statement. /1 www.vrt.be/vrtnws/nl/20...
vrt.be
"IQ hangt samen met ras": dit is Nathan Cofnas, de 'rassenrealist' die ophef veroorzaakt aan UGent | VRT NWS Nieuws
De aanstelling van de Amerikaanse filosoof en ethicus Nathan Cofnas aan de UGent leidt al enkele weken tot beroering. Waarom eigenlijk? Wie is Cofnas, waar komt hij vandaan en welke ideeën predikt hij...
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Michel Nivard @michelnivard.bsky.social · 13/03/2026
I build a feed for european grant funding that's updated daily and (IMO) far more transparent then the official EU fundign website: michelnivard.github.io/eu-grants-fe... (inspired by the NIH equivalent @sashagusevposts.bsky.social build yesterday)
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Jeremy Berg @jeremymberg.bsky.social · 13/03/2026
Here are the results limited to R01 grants. Multiyear funded R01s were quite rare, but the number (and amount of funding) increased starting in mid-May 2025. The level in FY2026 is starting at this high level. 3/5
A line graph of the fraction of multiyear funding for R01 grants. The line for FY2025 increased in the last third of the year and the level in FY2026 is already high. Very few multiyear R01 awards were made in FY2024.
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Sasha Gusev @sashagusevposts.bsky.social · 13/03/2026
Here's a (daily updated) NIH grant listing that doesn't suck: sashagusev.github.io/nih-grants-f...
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Joshua G. Schraiber @jgschraiber.bsky.social · 07/03/2026
The drop in the last column presumably is mostly reflecting multi-year funding, which is now codified into the appropriations. This is going to devastate US science in a way that we will never come from.
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Sasha Gusev @sashagusevposts.bsky.social · 07/03/2026
Here is the "effective payline" for each institute, estimated (by Claude) as the percentile where one can expect 80% probability of funding from a logistic regression fit. The effective payline has gone from a historic ~12% to 6% in 2025.
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Lior Pachter @lpachter.bsky.social · 19/02/2026
I used Claude Opus 4.5/4.6 (and a bit of Codex GPT-5.3) to port edgeR to Python. See edgePython github.com/pachterlab/e... This allowed me to develop a single-cell DE method that extends NEBULA with edgeR Empirical Bayes. All in one week. Details in doi.org/10.64898/202...
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Sasha Gusev @sashagusevposts.bsky.social · 13/02/2026
Gave Codex an old R simulation I had lying around and it very adeptly turned it into an interactive web app with tunable parameters and visualizations. sashagusev.github.io/Stabilizing-...
sashagusev.github.io
Stabilizing Selection Dashboard
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Sasha Gusev @sashagusevposts.bsky.social · 09/02/2026
Another Claude project: a static site that pulls in GWAS SNP data from ensemble, multiple public biobanks, open targets, gtex, eqtl catalog, and OMIM. sashagusev.github.io/gwas_lookup/
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Sasha Gusev @sashagusevposts.bsky.social · 03/02/2026
Quick Claude Code project: download movie showtimes from Fandango, upload to this site, select some movies, and it will generate a marathon schedule. For example, you could go see F1, MELANIA, Iron Lung, and Mercy at the AMC Boston Commons -- what a treat! Took <1hr to prompt ...
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Gregory Kohn @kohngregory.bsky.social · 24/01/2026
Great piece in the NYtimes with quotes from @stairwaytokevin.bsky.social and @sashagusevposts.bsky.social. The misuse of NIH datasets with sensitive personal information for racist aims should be concerning for anybody interested in scientific integrity. www.nytimes.com/2026/01/24/u...
nytimes.com
Genetic Data From Over 20,000 U.S. Children Misused for ‘Race Science’
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Sasha Gusev @sashagusevposts.bsky.social · 09/01/2026
Interesting new multi-population aDNA selection scan from Colbran, Terhorst, Mathieson. Loci that are estimated to be under selection in one population also show enrichment in other populations, consistent with parallel or pre-split selection. www.biorxiv.org/content/10.6...
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Kaur Alasoo @kauralasoo.bsky.social · 07/01/2026
We used a similar design in this paper: www.sciencedirect.com/science/arti... Found that in cis-MR with multiple colocalising instruments (i.e. multiple indepdent signals colocalise between eQTL and pQTL traits) sign concordance was around 95%:
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Sasha Gusev @sashagusevposts.bsky.social · 06/01/2026
Clever use of proteomic data to stress-test TWAS and QTL colocalization methods, revealing a high false sign rate. This hypothesis about high-LD and cross-tissue confounding is particularly interesting:
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Zeyun Lu 鲁泽沄 @zeyunlu.bsky.social · 05/01/2026
Happy to share our new preprint from @sashagusevposts.bsky.social and @nmancuso.bsky.social labs! We introduce Mr. PEG, a framework integrating perturbational screens, eQTL, and GWAS data to identify mediating genes for complex traits. (1/n) www.medrxiv.org/content/10.6...
medrxiv.org
Integrating perturbational screens, eQTL, and GWAS data identifies mediating genes for complex traits
Most current GWAS-eQTL approaches prioritize genes whose mediating effects on complex traits act through cis-regulation, while trans-acting genes remain largely underexplored. Recent perturbational sc...
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Sasha Gusev @sashagusevposts.bsky.social · 06/01/2026
New method from our group for identifying disease-mediating genes using perturb-seq, eQTL, and GWAS data. Check out the thread:
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