4) >50% of proteins predictive of disease also predict smoking (this does vary significantly by disease).

www.medrxiv.org/content/10.1...

2) proteomics stratifies smokers, prior smokers, & non smokers (Fig. 4a)
3) proteomics even stratifies how LONG it has been since you quit smoking (Fig. 4b)🤯

Kristin Tsuo, @genetisaur.bsky.social, & Mark Daly just wrote the best proteomics paper I've read.

They convincingly show how smoking and alcohol (aka, the environment) dramatically influences proteomics data.

Some 🤯 results
1) proteomics predicts frequency (5a) & quanity (5b) of alcohol consumed

Year ago, the prevailing attitude was that deep learning would significantly improve polygenic risk scores (or anything else, to be fair).

A rather important set of negative results indicating that isn't the case (though I imagine many will still try).
nature.com/articles/s41...

Congrats to everyone involved in the long COVID GWAS - diligence and perseverance paid off with an association near FOXP4 that increases risk (OR=1.63; P=1.76e-10).

nature.com/articles/s41...

Carl Sagan was really ahead of his time. Absolutely prescient quote from one of his final interviews.

It's incredible how far we have come from saturated mutagenesis of 1 gene (BRCA) in 2018 to now 500 protein domains.

www.nature.com/articles/s41...

As the topic of batch covariates from sequencing data came up recently, here was a fun little look at differences in read depth by DNA source (blood or saliva) and sequencing center in All of Us. It often isn't a bad idea to include batch covariates to account for some of these differences!

Wow, they even scrapped my papers - must have been desperate for data 😅

My job might be DOOMed to fail, but I certainly got a laugh out of it 😆

I love it when programmer's have a sense of humor (in this case, the people behind Cromshell).

How common is reinfection with SARS-CoV-2 in the omicron world? Basically, no protection from reinfection of omicron SARS-CoV-2 after 1 year 😬

www.nature.com/articles/s41...

Nice paper showing ~1/540 people have a sex chromosome trisomy from 3 large biobanks (UKB, FinnGen, MVP) comprising 1.5 million individuals along with their phenotypic impact.

www.medrxiv.org/content/10.1...

☺️So excited for Kristin Tsuo's PhD defense!

As if FinnGen couldn't get any better, they've now released summary statistics from a meta-analysis including UK BioBank and Millions Veteran Program (for a combined >1.5M)!!

mvp-ukbb.finngen.fi

Everyone talks about how fantastic generative #AI is. I recently got a license for Adobe Illustrator that includes the ability to generate graphics based off of a prompt and my goodness, it is failing spectacularly to generate a simple normal distribution🤦