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Out today in @Nature: our Alzheimer’s disease GWAS of ~2.8M people (~184k cases). We find 48 new loci, ~3x higher SNP-heritability, enrichment in genes up-regulated in microglia and down-regulated in neurons, and we release public summary statistics. nature.com/articles/s4158…

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Out today in @Nature: our Alzheimer’s disease GWAS of ~2.8M people (~184k cases). We find 48 new loci, ~3x higher SNP-heritability, enrichment in genes up-regulated in microglia and down-regulated in neurons, and we release public summary statistics. nature.com/articles/s4158…

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Special thanks to @Dubhghlaso (shared first author), my PIs @DPosthu and Ole Andreassen, and the whole Alzheimer’s Disease Working Group of the Psychiatric Genomics Consortium (PGC-ALZ) @PGCgenetics

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This summarizes the most important results, but the paper includes much more.

rdcu.be/SjGYEiEZuLua

Excited to share our new @NatureHumBehav paper reporting within-family heritability estimates (the gold standard design unconfounded with population stratification, shared environmental effects and assortative mating) from 500,000 siblings pairs of diverse ancestries.

If you’ve ever run a GWAS, chances are you've used COJO (Conditional and Joint analysis). Well, we've extended and improved (up to 100× faster 🚀) this essential tool in the GWAS toolkit to enable joint analyses across multiple ancestry groups.

Paper:
nature.com/articles/s4158…

Interesting new preprint from Uffelmann & Visscher on properly converting Nagelkerke’s R^2 for disease PGS to the liability scale.

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New preprint 🧵

Lee and colleagues (Genet Epidemiol, 2012) introduced a canonical formula to transform linear-regression variance explained (R²) to the liability scale.

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We provide an R function to implement the conversion. It applies directly to previously published Nagelkerke R² estimates, placing them on a comparable scale without reanalyzing individual-level data.

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📄 Preprint (including the function): biorxiv.org/content/10.648…

w/ Peter Visscher

I’m currently recruiting an experienced postdoc to join our team in Brisbane for at least two years, working on some cutting-edge problems in statistical genomics and genetic epidemiology.

Link here: uq.wd3.myworkdayjobs.com/uqcareers/job/…