Hatoon Al Ali
@hatoonli.bsky.social
I study genetic interactions using statistical/population genomics. PhD candidate at the Atkinson lab @BCM. Views my own
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
October 9, 2025 at 9:10 PM
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
Reposted by Hatoon Al Ali
📃 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).
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.
www.nature.com
October 6, 2025 at 6:31 PM
📃 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).
Reposted by Hatoon Al Ali
🚨 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...
Preprint: doi.org/10.1101/2025...
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...
www.biorxiv.org
September 8, 2025 at 12:23 PM
🚨 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...
Preprint: doi.org/10.1101/2025...
Reposted by Hatoon Al Ali
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! 🧵⬇️
📄 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...
www.biorxiv.org
March 20, 2025 at 2:53 PM
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! 🧵⬇️
📄 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! 🧵⬇️