Evidence map›Paper›PMID 40121539›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2025

Unique signatures of highly constrained genes across publicly available genomic databases.

Klaus Schmitz-Abe, Qifei Li, Sunny Greene, Michela Borrelli, Shiyu Luo, Madesh C Ramesh, Pankaj B Agrawal

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Genetic architectures of brain-related traits are shaped by strong selective constraints.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Klaus Schmitz-AbeDivision of Neonatology, Department of Pediatrics, University of Miami Miller School of Medicine and Holtz Children's Hospital, Jackson Health System, Miami, FL; Broad Institute of MIT and Harvard, Cambridge, MA.
Qifei LiDivision of Neonatology, Department of Pediatrics, University of Miami Miller School of Medicine and Holtz Children's Hospital, Jackson Health System, Miami, FL; Broad Institute of MIT and Harvard, Cambridge, MA.
Sunny GreeneDepartment of Medical Education, University of Miami Miller School of Medicine, Miami, FL.
Michela BorrelliDivision of Neonatology, Department of Pediatrics, University of Miami Miller School of Medicine and Holtz Children's Hospital, Jackson Health System, Miami, FL.
Shiyu LuoDivision of Neonatology, Department of Pediatrics, University of Miami Miller School of Medicine and Holtz Children's Hospital, Jackson Health System, Miami, FL.
Madesh C RameshDivision of Neonatology, Department of Pediatrics, University of Miami Miller School of Medicine and Holtz Children's Hospital, Jackson Health System, Miami, FL.
Pankaj B AgrawalDivision of Neonatology, Department of Pediatrics, University of Miami Miller School of Medicine and Holtz Children's Hospital, Jackson Health System, Miami, FL; Broad Institute of MIT and Harvard, Cambridge, MA; Department of Medical Education, University of Miami Miller School of Medicine, Miami, FL. Electronic address: pagrawal@miami.edu.

Funding

VIGOR: Virtual Genome Center for Infant HealthR01HG011798 · NHGRI · BOSTON CHILDREN'S HOSPITAL · PI AGRAWAL, PANKAJ B, PARKER, MARGARET GRAHAM KEMPER · 2021 to 2025
$5.1M
Medical Scientist Training ProgramT32GM145462 · NIGMS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ALESSIA FORNONI, Daniel Jon Liebl · 2022 to 2026
$3.9M
NHGRI NIH HHS R01 HG011798NIGMS NIH HHS T32 GM145462
6 · The paper itself

Abstract

purposePublicly available genomic databases are critical in understanding human genetic variation. They also provide unique insights into patterns of genetic constraints and their relationship with human disease.

methodsWe utilized one of the largest publicly available databases, Genome Aggregate Database, to determine genes that are highly constrained for only loss-of-function, only missense, and both loss-of-function/missense variants. We identified their unique signatures and explored their causal relationship with human diseases. Those genes were also evaluated for chromosomal location, tissue-level expression, Gene Ontology analysis, and gene family categorization using multiple publicly available databases.

resultsWe identified unique patterns of inheritance, protein size, and enrichment in distinct molecular pathways for those constrained genes associated with human disease. In addition, we identified genes that are currently not known to cause human disease, which may be excellent gene discovery candidates.

conclusionWe elucidate biological pathways of highly constrained genes that expand our understanding of critical cellular proteins. The findings can also advance research in rare diseases.

Indexed as

Databases, GeneticGenomicsGene OntologyGenetic Predisposition to DiseaseGenetic VariationGenome, HumanHumansLoss of Function MutationMutation, MissenseClinVarConstrained genesgnomADHGMDz-score

Identifiers

PMID40121539
PMCPMC12753103

What OpenQuestion holds

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Registered trials

None linked

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.