Sile Hu
@fuopen
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Interested in stats&pop genetics. He/him. Views are my own
Joined May 2012
Excited to see my project at @UniofOxford finally published at @NatureGenet ! Huge thanks to my co-authors @simon_r_myers @danjlawson @marchini @g_hellenthal @linoafferreira @ShiSinan , and the reviewers/editors. Read the publication here: 🚀🎉
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Amazing work, huge congrats, Hrushi
(1/6) Excited to share our manuscript describing Quickdraws, a novel algorithm and software to perform GWAS that increases association power while keeping computational costs low. More details below (thread). Link to article:
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RT @pontus_skoglund: Kicking off the new year, our paper by @leo_speidel et al. is out describing what to me is a breakthrough in ancient g…
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RT @spence_jeffrey_: What do GWAS and rare variant burden tests discover, and why? Do these studies find the most IMPORTANT genes? If not,…
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RT @ana_ignatieva: New preprint (with @linoafferreira) where we explore the idea of using genealogies (in the form of ancestral recombinat…
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RT @razoralign: GLEANR: Sparse matrix factorization of GWAS summary statistics robust to sample sharing improves detection and interpretati…
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RT @biorxiv_genetic: A consensus variant-to-function score to functionally prioritize variants for disease #biorxi…
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RT @joellembatchou: REGENIE v4.0 is live!🎉 You can now analyze time-to-event phenotypes, leveraging power gains with case-control phenotype…
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RT @biorxiv_genetic: Revealing the range of maximum likelihood estimates in the admixture model. #biorxiv_genetic
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RT @biorxiv_genetic: Simple models of non-random mating and environmental transmission bias standard human genetics statistical methods ht…
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RT @NatureRevGenet: Inference and applications of ancestral recombination graphs #Review by @ras_nielsen, @andrewhv…
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RT @biorxiv_evobio: The TMRCA of general genealogies in populations of variable size #biorxiv_evobio
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RT @biorxiv_genetic: Stabilising selection enriches the tails of complex traits with rare alleles of large effect
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RT @biorxiv_genetic: A scalable approach for genome-wide inference of ancestral recombination graphs #biorxiv_gene…
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RT @biorxiv_genetic: Fast variance component analysis using large-scale ancestral recombination graphs #biorxiv_ge…
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