iiinova — where your digital self keeps evolving

Reposted by @dalygene.bsky.social

Masahiro Kanai @masakanai.bsky.social · 30/09/2026

Our single-nucleus immune multiome atlas is now out in @nature.com! 🧬 10M PBMCs from 1,108 @finngen.bsky.social donors recruited by Finnish Blood Service, profiled at @broadinstitute.org with chromatin accessibility and gene expression in the same nuclei, to trace how disease variants act 🧵👇

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Reposted by @dalygene.bsky.social

FinnGen @finngen.bsky.social · 01/10/2026

Using data from more than 1,100 Finnish blood donors participating in FinnGen, @masakanai.bsky.social and colleagues have created an atlas of over 10 million immune cells that links disease-associated genetic variants to the genes they control. The findings were just published in @nature.com.

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Ian Boudreau @ianboudreau.com · 23/02/2025

Maybe corny but it was helpful for me to hear Henry Rollins saying "this is not time to be dismayed, this is punk rock time, this is what Joe Strummer trained you for... You can be thunderous in your own life, to the eight people around you. That rubs off... Goodness is viral"

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Reposted by @dalygene.bsky.social

Dan Kaszeta FRHistS @dankaszeta.bsky.social · 06/02/2025

The Papua New Guinea Courier is in rare form.

Screenshot from "Letter from our correspondent" in "Papua New Guinea Courier"

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Reposted by @dalygene.bsky.social

Institute for Molecular Medicine Finland (FIMM) @fimm-uh.bsky.social · 06/02/2025

Last call! The deadline for applications to our FIMM-EMBL International PhD Programme is tomorrow, 7 Feb! Don't miss this opportunity to pursue your doctoral studies in a unique, ambitious and interdisciplinary research environment. 🔗 jobs.helsinki.fi/job/Helsinki... #PhDposition #PhDopportunity

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Jack Kosmicki @jakphd.bsky.social · 05/02/2025

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...

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dalygene.bsky.social @dalygene.bsky.social · 10/01/2025

Curiously, the longer-standing very common signal at the locus that @timfrayling.bsky.social highlights has pinpointed the gene for years (and seems to include another missense variant in credible set rs10305420) seems more strongly associated to obesity in UKBB & FG...

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dalygene.bsky.social @dalygene.bsky.social · 10/01/2025

As @kauralasoo.bsky.social points out rs10305492 (A316T) is a lights out conclusively fine-mapped (PIP>0.99) for lower glucose and HbA1c in UKBB & FinnGen - T2D protective in multi-biobank mvp-ukbb.finngen.fi/variant/6:39...

mvp-ukbb.finngen.fi

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FinnGen @finngen.bsky.social · 05/12/2024

Million Veteran Program & FinnGen teams are pleased to release v1 meta-analysis of MVP, FinnGen and UKBB GWAS data. This first version includes ~300 binary disease definitions across >1.5 M individuals. Browse scans at: mvp-ukbb.finngen.fi

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dalygene.bsky.social @dalygene.bsky.social · 27/11/2024

Sometimes going 5 levels of conditional fine-mapping reveals something new about an old association! Great work from @heikorunz.bsky.social @mpreeve.bsky.social Seppo Meri's Lab and @finngen.bsky.social

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dalygene.bsky.social @dalygene.bsky.social · 22/11/2024

Totally agree - FM from meta of heterogeneous GWAS is very imprecise (see @masakanai.bsky.social papers) and I cannot imagine anyone would say we have a near complete annotation of functional non-coding elements. Impossible to interpret then when FM points to unannotated variants...

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Tuuli Lappalainen @tuuliel.bsky.social · 20/11/2024

I agree with this, and would add that data of regulatory annotations doesn't cover all cell types where the variant effect might be driving the trait association. scATAC probably has the best coverage of cell types, but it's not perfect either.

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