Evidence map›Paper›PMID 41413243›Full record

ArticleNature biotechnology2025

Computational prediction of human genetic variants in the mouse genome.

Kexin Dong, Samuel I Gould, Minghang Li, Francisco J Sánchez Rivera

Erratum issuedAbstract read
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In one paragraph

Article in Nature biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

4 authors.

Kexin DongDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-1379-3890
Samuel I GouldDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-2617-5215
Minghang LiDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Francisco J Sánchez RiveraDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA. fsr@mit.edu.ORCID http://orcid.org/0000-0002-8466-8563

Funding

Howard Hughes Medical Institute (HHMI) GT15656U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) 1P01CA291694-01A1U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) NIH T32GM136540V Foundation for Cancer Research (V Foundation) V2022-028
6 · The paper itself

Abstract

Mouse models of human disease should resemble human genetics. Here we present H2M (human-to-mouse), a computational pipeline to predict mouse genetic variants that mirror the sequence and functional effects of human variants. H2M can also perform mouse-to-human and paralog-to-paralog variant mapping for precision genome-editing tools. We provide a database of >3 million human-mouse mutation pairs, base- and prime-editing libraries for 4,944 variant pairs and a web tool.

Identifiers

PMID41413243

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.