I've written about race, genetic ancestry, analyses of large biobanks, and human history https://t.co/DogeRfUCdr I'll summarize the key points here 🧵:

Thoughtful and informative post on the Virtual Cell Challenge, what we actually want out of virtual cells, and ideas on how to measure it.

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Modern GWAS can identify 1000s of significant hits but it can be hard to turn this into biological insight. I'm excited to share our new work combining genetic associations and Perturb-seq to build interpretable causal graphs, out today in @Nature:

Leveraging ancestral recombination graphs for scalable mixed-model analysis of complex traits

Big new blogpost! My guide to data visualization, which includes a very long table of contents, tons of charts, and more. --> Why data visualization matters and how to make charts more effective, clear, transparent, and sometimes, beautiful. https://t.co/hDQhDL5rR1

🧬 Do genetic variants interact in humans? For years, the answer was “probably, but we lacked solid statistical evidence.” We now bring one of the strongest pieces of evidence to date. Thrilled to share our latest work, FAME, now at Nature Genetics:

Immigration restrictionists don’t want to just own up to racist motives so they end up endorsing absurd economics.

Link: https://t.co/AUeROkL9RC

Atlas: “I was sitting across from Anthony Fauci in August of 2020, and he looked at me and said, ‘One of the biggest problems is the American public is not afraid enough.’ This was the task force… it’s a completely unethical way to do public health.”

I rounded up some of the missing heritability discussions from the past few weeks and got the last word in (for now).

Please take a moment to ponder the ringing stupidity of the concept "real biological name"

2016-2022: we really thort single cell and spatial would take genomics to that next level. By asking deeper questions and having the tools to answer them. That would in turn feed more funding and more research positions and vendor investments. Instead:

https://t.co/Niwc5aZSfx

Algorand is now more decentralized than ever before. We're transitioning from a relay node network to a P2P network. P2P is the most decentralized option, and so we've implemented it. Sending decentralization, censorship resistance, and network resilience to the next level.

Rewatching #BreakingBad in 2025 with fresh eyes as #Radonc resident☢️ Let's talk about how Walter White's Stage IIIA lung adenocarcinoma would be treated if diagnosed today instead of 2008. 🧵 #lcsm #MedTwitter Because honestly? The show may look very different. Here's why...

This is accurate and why the impact factor problem needs to be solved from the top down. Senior academics who lead search committees should pledge to review all applications blind to journal/IF and pressure other institutions to commit to the same.

3 questions to test your intition about genetics and CLT, inspired by @davidbessis argument that "long tailed phenotypes are not compatible with high additive h2": 1 Assume all traits are additive on the genetic level, no gxg, and no gxe exists. Is Bessis' argument correct? 2:

The high correlation for DZ twins apart in this landmark study implies a massive selective placement effect and basically makes the data unusable. Perhaps that explains why the result went unpublished for 35 years.

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I've yet to see an answer from twin study die-hards to this discrepancy. Ironically, the response feels very "nurturist" -- the methods are too complicated, there must be some confounding, they estimate "different" parameters (without stating which), don't talk about it.

Rare, moderately penetrant variants identifiable by whole-genome sequencing were one of the core hypotheses for "the case of the missing heritability" ( https://t.co/itH1nDu2uO) so it is useful to put that hypothesis to bed (on average).

I think the "hereditarian vs. nurturist" framing in the recent ACX post on heritability misses the most interesting result: that multiple different methods now show that twin study estimates are inflated for simple biomedical traits and the gap is not explained by rare variants.

I agree with @slatestarcodex that the latest WGS analysis of UK Biobank participants has not resolved the missing (IQ) heritability debate for me. However, I think Scott's article makes a bizarre claim and misses some important arguments that I wanted to draw attention to.

@SashaGusevPosts Have been urging the QTL/GWAS community to routinely profile caQTLs for years especially with smaller sample sizes. Hopefully this convinces folks to pursue the chromatin +expression route. H3k27ac and me3 QTLs would be even more informative. Just not as convenient at single cell

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