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Taotao Tan

@doubletaotan.bsky.social
43 followers 117 following 0 posts

Computational biology & statistical genetics. 3rd year graduate student @ Baylor College of Medicine jasontan-code.github.io

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Reposted by Taotao Tan
Elizabeth Atkinson @egatkinson.bsky.social · 20/07/2026
Tractor-Mix is now published in @natgenet.nature.com! Led by @doubletaotan.bsky.social, we developed a GWAS method that handles admixture and relatedness together, expanding the range of samples that can be analyzed with local-ancestry resolution. Paper: rdcu.be/fuxCD
nature.com
Extending genome-wide association studies to admixed cohorts with high degrees of relatedness - Nature Genetics
Tractor-Mix is a GWAS method for admixed cohorts with high relatedness, improving ancestry-specific effect estimation, controlling false positives and boosting power to detect ancestry-enriched loci a...
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Reposted by Taotao Tan
Elizabeth Atkinson @egatkinson.bsky.social · 09/06/2025
We're excited to introduce Tractor-Mix, our new method for GWAS in admixed cohorts with relatedness, led by the fantastic @doubletaotan.bsky.social! Read the full preprint here: www.medrxiv.org/content/10.1... Thanks to all our amazing collaborators who helped make this work possible!
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Reposted by Taotao Tan
Elizabeth Atkinson @egatkinson.bsky.social · 20/03/2025
www.biorxiv.org/content/10.1... 📄 New preprint alert! 📄 @helenyslin.bsky.social benchmarked polygenic scores (PGS) using genotyping arrays vs whole-genome sequencing (WGS) across traits & populations in @AllofUsResearch. What’s the best approach? The answer is… it depends! 🧵⬇️
biorxiv.org
Differential performance of polygenic prediction across traits and populations depending on genotype discovery approach
Polygenic scores (PGS) are widely used for estimating genetic predisposition to complex traits by aggregating the effects of common variants into a single measure. They hold promise in identifying ind...
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Reposted by Taotao Tan
bioRxivpreprint @biorxivpreprint.bsky.social · 19/03/2025
Differential performance of polygenic prediction across traits and populations depending on genotype discovery approach www.biorxiv.org/content/10.1101/202…
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Reposted by Taotao Tan
Jeff Spence @jeffspence.github.io · 17/12/2024
What do GWAS and rare variant burden tests discover, and why? Do these studies find the most IMPORTANT genes? If not, how DO they rank genes? Here we present a surprising result: these studies actually test for SPECIFICITY! A 🧵on what this means... (🧪🧬) www.biorxiv.org/content/10.1...
biorxiv.org
Specificity, length, and luck: How genes are prioritized by rare and common variant association studies
Standard genome-wide association studies (GWAS) and rare variant burden tests are essential tools for identifying trait-relevant genes. Although these methods are conceptually similar, we show by anal...
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