Evidence map›Paper›PMID 40624578›Full record

ArticleGenome biology2025

Conserved missense variant pathogenicity and correlated phenotypes across paralogous genes.

Tobias Brünger, Alina Ivaniuk, Eduardo Pérez-Palma, Ludovica Montanucci, Stacey Cohen, Lacey Smith, Shridhar Parthasarathy, Ingo Helbig, Michael Nothnagel, Patrick May and 1 more

Abstract read
In one paragraph

Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. CharacterizingmedRxiv : the preprint server for health sciences · 2026
    Article
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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

11 authors.

Tobias Brünger *Cologne Center for Genomics (CCG), University of Cologne, Cologne, 50931, Germany.
Alina Ivaniuk *Department of Neurology, Mayo Clinic in Florida, Jacksonville, Fl, 32224, USA.
Eduardo Pérez-PalmaCentro de Genética y Genómica, Facultad de Medicina Clínica Alemana, Universidad del Desarrollo, Santiago, Chile.
Ludovica MontanucciDepartment of Neurology, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Stacey CohenDivision of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Lacey SmithEpilepsy Genetics Program, Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Boston, MA, USA.
Shridhar ParthasarathyDivision of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Ingo HelbigDivision of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Michael NothnagelCologne Center for Genomics (CCG), University of Cologne, Cologne, 50931, Germany.
Patrick MayLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Sur-Alzette, Luxembourg.
Dennis LalCologne Center for Genomics (CCG), University of Cologne, Cologne, 50931, Germany. dennis.lal@uth.tmc.edu.

Funding

Project 3 - Development and investigation of murine models of channelopathy-associated epilepsyU54NS108874 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GEORGE, ALFRED L. · 2018 to 2022
$12.1M
A computational phenotyping approach to characterize neurogenetic disordersR01NS131512 · NINDS · CHILDREN'S HOSP OF PHILADELPHIA · PI Ingo Helbig · 2023 to 2026
$2.8M
Agencia Nacional de Investigación y Desarrollo 1221464Bundesministerium für Bildung und Forschung 01GM1907DBundesministerium für Bildung und Forschung 01GM2210BDravet Syndrome Foundation 272016Fonds National de la Recherche Luxembourg INTER/DFG/21/16394868NINDS NIH HHS 5-U54-NS108874NINDS NIH HHS R01 NS131512NINDS NIH HHS U54 NS108874SCN2A Foundation SCN2A foundation 2020 Action Potential Grant
6 · The paper itself

Abstract

backgroundThe majority of missense variants in clinical genetic tests are classified as variants of uncertain significance. Prior research shows that the deleterious effects and the subsequent molecular consequences of variants are often conserved among paralogous protein sequences within a gene family. Here, we systematically quantify on an exome-wide scale whether the existence of pathogenic variants in paralogous genes at a conserved position can serve as evidence for the pathogenicity of a new variant. For the gene family of voltage-gated sodium channels, where variants and expert-curated clinical phenotypes are available, we also assess whether phenotype patterns of multiple disorders for each gene are conserved across variant positions within the gene family.

resultsMapping 590,000 pathogenic and 1.9 million population variants onto 9928 genes grouped into 2054 paralogous families increases the number of residues with classifiable evidence 5.1-fold compared with gene-specific data alone. The presence of a pathogenic variant in a paralogous gene is associated with a positive likelihood ratio of 13.0 for variant pathogenicity. Across ten genes encoding voltage-gated sodium channels and 22 expert-curated disorders, we identify cross-paralog correlated phenotypes based on 3D structure spatial position. For example, multiple established loss-of-function related disorders across SCN1A, SCN2A, SCN5A, and SCN8A show overlapping spatial variant clusters. Finally, we show that phenotype integration in paralog variant selection improves variant classification.

conclusionConserved pathogenic missense variants in paralogous genes provide robust, quantifiable support for clinical variant interpretation, and phenotype-informed mapping further improves predictions.

Indexed as

Mutation, MissenseConserved SequenceExomeHumansPhenotypeVoltage-Gated Sodium ChannelsVoltage-Gated Sodium ChannelsACMGGeneticsmissensesodium channelvariant classification

Identifiers

PMID40624578
PMCPMC12235991

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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.