Evidence map›Paper›PMID 42539204›Full record

ArticlebioRxiv : the preprint server for biology2026

EXCAVATE-HT: A Bioinformatic Pipeline to Identify Targetable Genomic Variants for Allele-Specific Editing.

Akshita G Saxena, Grace D Ramey, John A Capra, Bruce R Conklin, Bria L Macklin

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

5 authors.

Akshita G SaxenaGladstone Institute of Data Science and Biotechnology, San Francisco, CA 94158, USA.
Grace D RameyBiomedical Informatics PhD Program, University of California, San Francisco, San Francisco, CA 94143, USA.
John A CapraBakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0001-9743-1795
Bruce R ConklinGladstone Institute of Data Science and Biotechnology, San Francisco, CA 94158, USA.
Bria L MacklinGladstone Institute of Data Science and Biotechnology, San Francisco, CA 94158, USA.ORCID 0000-0002-3744-6431

Funding

The Evolution of Gene Regulation and Human DiseaseR35GM127087 · NIGMS · VANDERBILT UNIVERSITY · PI John Anthony Capra · 2018 to 2026
$3.2M
C9orf72 frontotemporal dementia (FTD) and amyotrophic lateral sclerosis(ALS): using patient cells and CRISPR to reveal therapeutic approachesR01AG072052 · NIA · J. DAVID GLADSTONE INSTITUTES · PI CONKLIN, BRUCE R · 2024 to 2025
$1.4M
Cellular perturbations to enhance precise therapeutic genome editing to treat FTD/ALSF32AG081085 · NIA · J. DAVID GLADSTONE INSTITUTES · PI MACKLIN, BRIA · 2023 to 2024
$143k
Investigating clinical risk between autoimmunity and Alzheimer’s Disease in diverse human populationsF31AG090013 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Grace Ramey · 2024 to 2026
$93k
NIA NIH HHS F31 AG090013NIA NIH HHS F32 AG081085NIA NIH HHS R01 AG072052NIGMS NIH HHS R35 GM127087
6 · The paper itself

Abstract

Allele-specific CRISPR/Cas editing is a powerful tool with great potential for treating genetic diseases and for uncovering the effects of allelic diversity. By targeting commonly inherited single nucleotide polymorphisms (SNPs), a small number of gRNAs can treat many more individuals than targeting rare disease mutations. However, current tools for identifying common targetable variants and generating CRISPR guide RNAs (gRNA) have fundamental conceptual and technical limitations. Here, we introduce EXCAVATE-HT (EXtracting Common Allelic VAriants for Targeted Editing in High-Throughput) a bioinformatic tool that mines population variant data to generate CRISPR libraries targeting genomic loci for allele-specific editing. Users define their loci of interest, Cas species, and SNP frequency, then EXCAVATE-HT outputs an annotated list of allele-specific gRNAs. EXCAVATE-HT can also generate libraries of gRNA pairs to enable excision. We illustrate the use of EXCAVATE-HT to design and characterize multiple gRNA libraries for allele-specific targeting of the disease gene, Cone-Rod Homeobox (

Identifiers

PMID42539204
PMCPMC13419747

What OpenQuestion holds

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LicenceCC BY-NC
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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.