Excited for #ASHG2025 next week! I will be presenting my latest work on refining how ancestry prediction models perform on Middle Eastern populations. If you are attending, find me by poster #6054W on Wed. We can chat about current practices in defining/inferring populations and ways to improve them

Improved allele frequencies in gnomAD through local ancestry inference - Nature Communications This study incorporates local ancestry into the Genome Aggregation Database (gnomAD) to improve allele frequency estimates for admixed populations, enhancing variant interpretation and enabling more accurate and equitable genomic research and clinical care.

📃 We’re excited to share our latest work, now published in Nature Communications — a major update to the Genome Aggregation Database (gnomAD) that improves allele frequency resolution for two gnomAD-defined genetic ancestry groups using local ancestry inference (LAI).

Tractor Workflow Pipeline: A Scalable Nextflow Framework for Local Ancestry-Aware Genome-Wide Association Studies The routine exclusion of admixed individuals from traditional Genome-Wide Association Studies (GWAS) due to concerns about spurious associations has hindered genetic analyses involving multiple ancest...

🚨 New preprint! Traditional GWAS often exclude admixed individuals, missing ancestry-enriched genetic signals. We built Tractor Nextflow Workflow - a modular, scalable pipeline that automates phasing, LAI, and Tractor GWAS, alongside comprehensive documentation.
Preprint: doi.org/10.1101/2025...

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...

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! 🧵⬇️