Excited to share our #MultiRegion #SingleCell dissection of #Alzheimers out in @Nature today studying #Reelin in #RegionSpecific #NeuronalVulnerability, #CholineMetabolism and #PolyAmineBiosynthesis in #CognitiveResilience, #Astrocyte diversity, #Thalamus-specific #Interneurons, #scDemon for #Module analysis, and so much more. Paper: nature.com/articles/s41586-0… News: picower.mit.edu/news/study-a… Website/Data: compbio.mit.edu/ad_multiregi… Interactive website: compbio2.mit.edu/ad_multireg… Cell Browser: ad-multi-region.cells.ucsc.e… Code: github.com/cboix/admultiregi… scDemon module analysis: github.com/KellisLab/scdemon with: @Carles_Boix, @MathysHansruedi, @Leyla_Aakay, @DrLiHueiTsai, #DavidBennett, @RudyTanzi, @__ben_james__, @_JoseDavila, #KikiGalani, @NeilBBand, @NIHAging, #CureAlz and so many more amazing contributors. Truly grateful for an amazing team and collaboration #OpenAccess #OpenScience #NeuroDegeneration

Shotgun metagenomics data for >200 healthy Asian octogenerians helped us identify key gut microbial hallmarks of healthy aging, including some that are only consistently seen in Asian cohorts! 4 Major results in thread #aging #microbiome biorxiv.org/content/10.1101/…

Very happy to present our new paper led by an excellent team of graduate students @mslob95 @ABahcheli at @OICR_news @MoGen_Grad @MBPatUofT: nature.com/articles/s41467-0… 1/4

Published today! We found that cancer cells adapting to drug treatments don't simply switch from a sensitive to resistant state; instead there's a ‘resistance continuum’ of resistant phenotypes with epigenetically reprogrammed states. 🧵⬇️ nature.com/articles/s41586-0… @Gustavo_SFranca

Quick thread on the Astra Zeneca (AZ) covid vaccine since it's been in the news today. TLDR there isn't a new "smoking gun", the AZ vax was one of first and cheapest, it saved millions of lives globally, there are better vax out there now, adapted to new variants 1/9

Obesity rate by country from 1990 to today, for selected countries. Time to study what France is doing right! #dataviz source: reddit.com/r/dataisbeautiful…

Five steps to connect genetic risk variants to disease nature.com/articles/d41586-0… #journals #feedly

Huge congrats to our @mit_hst @harvardmed student @ImJiwooLee using Mendelian randomization to estimate healthcare costs attributed to various clinical risk factors. Highlights substantial estimated cost savings from treating obesity nature.com/articles/s41467-0… @NatureComms @andganna

Excited to share our work introducing a remarkably efficient approach to model linkage disequilibrium, now published in @NatureGenet nature.com/articles/s41588-0… This work was led by Pouria Salehi Nowbandegani and @WilderWohns

🆕 @Nature A major genomic sequencing feat finally accomplished: a complete, gapless map of the human Y-chromosome, a notoriously difficult palindrome and repeat-laden region, with discovery of 41 new genes nature.com/articles/s41586-0…

RNAseq counting tools are not perfect. I simulated 240 GTEx samples to test multiple tools. Below I show the difference between actual and estimated counts for each simulated sample. But, what is causing this? And will it affect differential expression? (1/7) #Bioinformatics

The “unknome” database ranks human proteins by how little we know about them. sciencenews.org/article/unkn…

This is as close as our group could get to a how-to guide for studies of the environment and #epigenetics Don't forget DNA sequence variation. Look for transcription factor and cell signalling effects. @_jjdubs @david_a_knowles @srimraj journals.plos.org/plosgeneti…

This macrophage tattoo is made of macrophages! Have you ever wondered why tattoos are permanent? In tattooing, ink is injected into the skin. Some of this ink is expelled with the epidermis o, but the rest remains in the dermis for life. 🧵1/10

A genome-wide meta-analysis of data from 6 US and European cohorts involving 1.3 million individuals identifies 243 genetic variants associated with risk and pathophysiology of depression @AndersBorglum nature.com/articles/s41591-0…

New research from @sergio_vim @jordanatbell & co. @KingsCollegeLon, with findings that improve the characterisation of the mechanisms underlying DNA methylation variability & are informative for prioritisation of GWAS variants for functional follow-ups bit.ly/3qh5pJi

🚨preprint alert🚨 We report a #GWAS with ratios between protein levels from the @OlinkProteomics Explore 1536 #proteomics data from ~54,000 participants of the @uk_biobank using the @dnanexus platform. biorxiv.org/content/10.1101/… 1/13

Anyone who wants to study #HLA but feels hesitant as HLA is too complicated☹️? Happy to share our paper @NatureProtocols describing the up-to-date knowledge on HLA #genetics and step-by-step tutorial for HLA imputation and association with @soumya_boston🥳 nature.com/articles/s41596-0…

Proteomics outshines polygenic risk scores in predicting 218 common and rare diseases. Impressive C-statistics for some diseases for which we have few predictive tools in the clinic. @omicscience on a roll with Robert Scott @pietznerm and others medrxiv.org/content/10.1101/…

Case-control GWAS on 11m variants in 335k people in <4 mins using ONLY summary-level data! Check out our isGWAS @biorxivpreprint at biorxiv.org/content/10.1101/… - large multi GWAS now accessible to all! Made possible with @MarioniGroup @heikorunz @ZhanaKuncheva & Chris Foley!