Nik Baya

@nbaya.bsky.social

Postdoc in Samocha Lab at MGH and Broad Institute. Oxford PhD in Genomic Medicine and Statistics. Passionate about using data science to improve global public health.

Excited to share our new preprint on gnomAD v4! We present the full analysis of 730,947 exomes — new constraint metrics, improved LoF annotation (LOFTEE-2), LLM-based literature curation, and a unified framework for gene discovery and rare disease diagnosis. www.medrxiv.org/content/10.6...

Integrating 730,947 exome sequences with clinical literature improves gene discovery

Accurate estimates of allele frequencies aid in genetic discovery, including rare disease diagnosis, common disease investigations, and population genetics. Here, we present the Genome Aggregation Dat...

medrxiv.org

So excited to give a talk at #ESHG2025! ✨ I presented our work demonstrating that individuals whose phenotype deviates from genetic expectation are enriched for rare damaging variants. This has implications for: - Screening of rare disorders 🔎 - Target discovery 💊 - Improving trait prediction 📈

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