Evidence map›Paper›PMID 42901987›Full record

ArticleNature genetics2026

The landscape of gene loss and missense variation across the mammalian tree informs on gene essentiality.

Calwing Liao, Robert Ye, Franjo Ivankovic, Jack M Fu, Raymond Walters, Chelsea Lowther, Elise Valkanas, Claire Churchhouse, Kaitlin E Samocha, Kerstin Lindblad-Toh and 4 more

Abstract read
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In one paragraph

Article in Nature genetics, 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

14 authors.

Calwing LiaoAnalytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA. cliao@broadinstitute.org.
Robert YeAnalytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0009-0007-4947-9672
Franjo IvankovicAnalytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0002-6776-8626
Jack M FuStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-4152-5471
Raymond WaltersAnalytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0001-8422-6530
Chelsea LowtherStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-6723-1899
Elise ValkanasStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-4624-4732
Claire ChurchhouseAnalytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0003-3140-6452
Kaitlin E SamochaAnalytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0002-1704-3352
Kerstin Lindblad-TohStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-8338-0253
Elinor KarlssonStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-4343-3776
Michael HillerLOEWE Centre for Translational Biodiversity Genomics, Frankfurt, Germany.ORCID http://orcid.org/0000-0003-3024-1449
Michael E TalkowskiAnalytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0003-2889-0992
Benjamin M NealeAnalytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA. bneale@broadinstitute.org.ORCID http://orcid.org/0000-0003-1513-6077

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patterns of gene and sequence preservation across species provide insight into gene essentiality under natural selection. Here we developed two interspecies constraint metrics across 462 mammalian species: Gene Identity Score of Mammalian Orthologs (GISMO), which quantifies gene loss weighted by evolutionary distance to humans, and GISMO-mis, which measures missense constraint using the ratio of missense to synonymous variation across mammals. Both metrics are strongly correlated with human loss of function, missense and dosage constraint derived from large-scale sequencing studies, yet are largely independent of coding sequence length. GISMO and GISMO-mis identify essential genes missed by existing human-only metrics, particularly short genes. Genes in the most constrained deciles are enriched for rare variant associations in disorders linked to reduced fecundity, including schizophrenia, autism and neurodevelopmental disorders, and show strong enrichment for common variant heritability. These deciles also exhibit reduced copy number variation, consistent with dosage sensitivity. In addition, GISMO improves prioritization of recessive disease genes and captures signatures of homozygous selection across the mammalian tree. Taken together, GISMO and GISMO-mis leverage deep mammalian evolution to provide complementary, length-robust measures of gene essentiality that strengthen disease-gene prioritization and illuminate the selective forces shaping human biology.

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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.