Kaitlin Samocha

@ksamocha.bsky.social

Assistant Investigator @ MGH / Broad / HMS. Focus on human genomics and modeling rare variation. She/her

Hi everyone! I'm excited to announce that our lab at UW will soon be recruiting a postdoc to work on DNA methylation signatures in rare disease. This will be a mostly computational position. Please share and reach out if interested! millerlaboratory.com

Miller Lab | University of Washington

Led by Danny E. Miller, MD, PhD, the Miller Lab uses long-read Nanopore sequencing to investigate the significance of structural genomic variation, methylation, and RNA in human disease, and to impro...

millerlaboratory.com

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Excited to share our new preprint, "Inference of elevated mutation rates and variant effects using 700k exomes"! - www.biorxiv.org/content/10.6... Using gnomAD v4, we estimate per-variant missense selection coefficients, and find loss-of-function (LoF) mutations with enhanced mutation rates.

Inference of elevated mutation rates and variant effects using 700k exomes

Genomic sequencing is now widely accessible for genetic diagnostics and is emerging as a component of newborn screening. This technological development generates the need to characterize incoming muta...

biorxiv.org

Attend the Leena Peltonen Award lecture now at #eshg2026 with Nicola Whiffin from Oxford University and learn About her recent discovieries in rare diseases and the broader inclusion of non-coding variants in clinical genetic testing that led to the Leena Peltonen Award. Congratulations!

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Excited to be at #ESHG2026 in the beautiful Gothenburg! For those of you attending and up for an extra game, check out the bingo cards 👇

Alex Hoischen@ahoischen.bsky.social · 2mo ago

To all attending #eshg2026: if you are ready to spent extra attention to detail throughout the entire conference, I recommend the informal ESHG bingo card. Brought by our great postdoc @lydiasagath.bsky.social @eshg.bsky.social First bingo gets a kanelbullar from me… tinyurl.com/eshgbingo2026

To nominate disease genes, we introduce two discovery scores: ΔPEPPER flags genes where biological features predicts clinical impact beyond whats published, and DisPo highlights genes under strong constraint with limited literature. Together they prioritize hundreds of candidate genes for follow-up

We train a new model trained on biomedical literature (PEPPER_XGB). Mix LOEUF and PEPPER to make an OMELET, which outperforms either each individual model in identifying disease genes

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We introduce LOEUF-MIS, combining pLoF and top 1% predicted deleterious missense constraint. This captures not just LoF but also gain-of-function and dominant-negative signals.

Precision-recall curves showing LOEUF-MIS outperforming other metrics

gnomAD v4's 5x sample increase benefits both common and rare disease: more common variants observed across ancestries improve diagnostic filtering, while more rare variants strengthen constraint metrics for disease gene detection

Figure 1a-b, growth of variation with sample size

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

If you are submitting an NIH grant in February, you will be required to use SciENcv to prepare you biosketch. IT IS MUCH WORSE THAN YOU CAN POSSIBLY IMAGINE. Set aside *at least* 4 hours just to transfer an existing an biosketch into SciENcv.

New paper on everyone’s favourite topic, QC! We show why you should do genotype-level QC on your WGS data www.biorxiv.org/content/10.1... Very real quotes about this paper - “The most exciting, mind-blowing paper of the year!” “On a par with Fisher 1918” “I read it every night. Just so beautiful”

Genotype-level quality control substantially reduces error rates in population-scale whole-genome sequencing

Population-scale whole-genome sequencing data will contain many individual-level genotype errors, even after allele-level quality control (QC). We establish the need for genotype-level QC using UK Bio...

biorxiv.org

📃 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.

nature.com

📣 We are recruiting! Please share!! Are you a bioinformatician / computational scientist who wants to apply your skills to understanding regulatory biology and improving rare disease diagnosis and treatment? 🧠 💻 🧬 🩺 We have two roles available 👇 🧵 1/4

Image of an old building in Oxford with the heading 'postdoc opportunities' and the text 'computational approaches to improve rare disease diagnosis and treatment' and 'Big Data Institute, University of Oxford'

Isn't genetics cool??? Within only 145 nucleotides(!) of a non-coding RNA (RNU4-2) - different variants in distinct regions / structures cause three distinct disorders!!! (all discovered within the last 18 months) 🤯🤓🧬❤️

Schematic of the U4 and U6 snRNAs with coloured annotations to note nucleotides linked to different disorders:
- Teal in the T-loop and Stem III for ReNU syndrome (Chen et al. Nature 2024 and Greene et al. Nature Medicine 2024)
- Red for variants causing a recessive NDD in Stem II, the k-turn and Sm protein binding sites (De Jonghe et al. medRxiv 2025 and Rius & Blakes medRxiv 2025)
- Yellow for the central loop and Retinitis pigmentosa (Quinodoz et al. medRxiv 2025)
@alexblakes.bsky.social · 12mo ago

Importantly, most of the mutations potentially responsible for this condition fall outside of the #ReNU syndrome critical region – they cluster in other parts of the U4 structure which make contacts with other RNAs and proteins, or within U4 itself.

Human Developmental Cell Atlas (HDCA) expression data is now displayed. Expression is displayed in 12 sections of a 6-7 post-conception week human embryo, alongside a sagittal view which displays the region of the embryo represented by each section @mhaniffa.bsky.social

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