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

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...

nature.com

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!

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! 🧵⬇️

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...

biorxiv.org

Differential performance of polygenic prediction across traits and populations depending on genotype discovery approach https://www.biorxiv.org/content/10.1101/2025.03.18.644029v1

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...

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...

biorxiv.org