Evidence map›Paper›PMID 41282735›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Saturation genome editing of

Ivan Woo, Silvia Casadei, Matthew W Snyder, Nahum T Smith, Sabrina Best, Malvika Tejura, Pankhuri Gupta, Abbye E McEwen, Mason Post, Audrey Hamm and 12 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Ivan WooBrotman Baty Institute for Precision Medicine, Seattle, WA, USA.ORCID 0009-0003-0945-8851
Silvia CasadeiBrotman Baty Institute for Precision Medicine, Seattle, WA, USA.ORCID 0000-0003-2619-5662
Matthew W SnyderBrotman Baty Institute for Precision Medicine, Seattle, WA, USA.ORCID 0000-0001-7433-4343
Nahum T SmithBrotman Baty Institute for Precision Medicine, Seattle, WA, USA.ORCID 0009-0007-5494-7477
Sabrina BestBrotman Baty Institute for Precision Medicine, Seattle, WA, USA.ORCID 0009-0008-6352-0106
Malvika TejuraDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.ORCID 0000-0001-5356-1977
Pankhuri GuptaDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.ORCID 0009-0002-5802-1296
Abbye E McEwenBrotman Baty Institute for Precision Medicine, Seattle, WA, USA.ORCID 0000-0001-7187-7975
Mason PostBrotman Baty Institute for Precision Medicine, Seattle, WA, USA.
Audrey HammBrotman Baty Institute for Precision Medicine, Seattle, WA, USA.
Moez DawoodHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX USA.ORCID 0000-0003-0192-1277
Airi HosokaiBrotman Baty Institute for Precision Medicine, Seattle, WA, USA.ORCID 0009-0008-5802-7130
Alicia XuBrotman Baty Institute for Precision Medicine, Seattle, WA, USA.ORCID 0009-0001-9766-3622
Riddhiman K GargeBrotman Baty Institute for Precision Medicine, Seattle, WA, USA.ORCID 0000-0002-6774-0172
Shawn FayerBrotman Baty Institute for Precision Medicine, Seattle, WA, USA.ORCID 0000-0003-1883-9069
Terra BrannanAmbry Genetics, Aliso Viejo, CA, USA.
Marcy E RichardsonAmbry Genetics, Aliso Viejo, CA, USA.
Sriram PendyalaDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.ORCID 0000-0003-3395-3417
Sarah HeidlBrotman Baty Institute for Precision Medicine, Seattle, WA, USA.ORCID 0009-0000-7692-9391
Lara MuffleyBrotman Baty Institute for Precision Medicine, Seattle, WA, USA.ORCID 0000-0002-3035-3339
Douglas M FowlerBrotman Baty Institute for Precision Medicine, Seattle, WA, USA.ORCID 0000-0001-7614-1713
Lea M StaritaBrotman Baty Institute for Precision Medicine, Seattle, WA, USA.ORCID 0000-0003-2870-5099

Funding

Technology to understand genetic variant effects in contextRM1HG010461 · NHGRI · UNIVERSITY OF WASHINGTON · PI Douglas M Fowler, Bruce Colston Trapnell · 2019 to 2026
$18.9M
University of Washington Mendelian Genomics Research Center (UW-MGRC)U01HG011744 · NHGRI · UNIVERSITY OF WASHINGTON · PI MICHAEL Joseph BAMSHAD, Evan Eichler · 2021 to 2026
$15.8M
The Center for Actionable Variant Analysis; measuring variant function at scaleUM1HG011969 · NHGRI · UNIVERSITY OF WASHINGTON · PI Douglas M Fowler, Lea Starita · 2021 to 2026
$9.9M
Advancing the implementation of variant-level functional data into clinical databases and clinical practiceR01HG013025 · NHGRI · UNIVERSITY OF WASHINGTON · PI Lea Starita, Andrew Ben Stergachis · 2023 to 2026
$3.1M
NHGRI NIH HHS R01 HG013025NHGRI NIH HHS RM1 HG010461NHGRI NIH HHS U01 HG011744NHGRI NIH HHS UM1 HG011969
6 · The paper itself

Abstract

BARD1 variants are associated with hereditary breast cancer and neuroblastoma, yet, 98% of missense variants remain variants of uncertain significance (VUS). We applied Saturation Genome Editing (SGE) to assess 8,818 SNVs and 2,097 3-base pair deletions for their effects on cell survival and RNA abundance. We found that 13% of missense variants are loss-of-function (LoF), with 98% in BARD1's three folded domains. LoF missense variants in the ankyrin repeat and BRCT domains were enriched in breast cancer cohorts, linking their molecular functions to cancer risk. SGE discriminated known pathogenic from benign variants with exceptional accuracy (AUC = 0.99) and resolved 95.4% of VUS, demonstrating high clinical utility. The single nucleotide resolution allowed discrimination of variant effects on RNA abundance from those affecting protein function and provided further evidence linking BARD1's function in homology directed repair to tumor suppression. This comprehensive variant effect dataset informs inherited cancer risk and treatment decisions.

Identifiers

PMID41282735
PMCPMC12637766

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.