Evidence map›Paper›PMID 41496737›Full record

ArticleInternational journal of dermatology2026

Decoding Genetic Disease Through the Skin: Lessons From the UDN.

Athira Sivadas, Katelyn Moore, Kimberly Ezell, Ashley McMinn, Yutaka Furuta, Christopher G Bunick, Thomas Cassini, Rizwan Hamid, John A Phillips, Undiagnosed Disease Network and 1 more

Abstract read
In one paragraph

Article in International journal of dermatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Athira SivadasVanderbilt University School of Medicine, Nashville, Tennessee, USA.ORCID https://orcid.org/0009-0004-7145-4509
Katelyn MooreVanderbilt University, Nashville, Tennessee, USA.
Kimberly EzellDivision of Medical Genetics and Genomic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0009-0005-7200-7644
Ashley McMinnDivision of Medical Genetics and Genomic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Yutaka FurutaDivision of Medical Genetics and Genomic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0009-0001-7278-8242
Christopher G BunickDepartment of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0002-4011-8308
Thomas CassiniDivision of Medical Genetics and Genomic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0002-3522-2135
Rizwan HamidDivision of Medical Genetics and Genomic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0002-2302-1344
John A PhillipsDivision of Medical Genetics and Genomic Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0001-9339-531X
Undiagnosed Disease Network
Rory J TinkerDepartment of Medical Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID https://orcid.org/0000-0001-7093-8844

Funding

T32 training grant in medical genetics.T32GM082773 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Laszlo Tamas Kozicz, Eva Morava-Kozicz · 2008 to 2026
$4.9M
Vanderbilt Center of Excellence for Undiagnosed Disease (VCEUD)U01NS134349 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI JOY D COGAN, Thomas Anthony Cassini · 2023 to 2026
$3.8M
C BRIGGSAE AND C ELEGANS GENOMIC SEQUENCE COMPARISONF32HG000130 · NHGRI · WASHINGTON UNIVERSITY · PI COUCH, JENNIFER A · 1994 to 1995
–
NHGRI NIH HHS F32 HG000130NIGMS NIH HHS T32 GM082773NIH HHS T32GM082773-16NINDS NIH HHS U01 NS134349Undiagnosed Diseases Network 15-HG-0130
6 · The paper itself

Abstract

backgroundSkin findings are often among the earliest signs of genetic disease but remain underused in diagnostic evaluation, especially in complex or multisystem cases.

objectivesWe aimed to examine how dermatologic features contribute to genetic diagnoses in patients evaluated through the Undiagnosed Diseases Network (UDN).

methodsWe conducted a retrospective study of 2849 individuals referred to the UDN from 2015 to 2025. All underwent comprehensive clinical evaluation and genome-wide sequencing. Skin findings were identified using Human Phenotype Ontology (HPO) terms and assessed for their association with diagnostic yield and time to diagnosis using odds ratios, Fisher's exact tests, and t-tests.

resultsA confirmed genetic diagnosis was made in 911 individuals. Eighteen were diagnosed with a primary genodermatosis, including four with somatic mosaicism, three of whom required biopsy of affected skin for confirmation. Skin-related HPO terms were present in about one-third of both diagnosed and undiagnosed individuals. While general skin findings were not predictive, specific features were strongly associated with diagnosis. These included café au lait macules (odds ratio 6.75), decreased palmar creases (odds ratio 5.61), and prominent fingertip pads (odds ratio 2.36). In contrast, bruising susceptibility was associated with a lower likelihood of diagnosis. Diagnostic delay was shorter for primary dermatologic disorders, though not statistically significant.

conclusionsSkin features, even subtle ones, can provide powerful diagnostic clues in rare diseases. Integrating focused dermatologic evaluation and tissue-specific testing, particularly for suspected mosaicism, can enhance diagnostic accuracy and shorten the path to answers for patients and families.

Indexed as

Skin Diseases, GeneticAdolescentAdultAgedBiopsyChildChild, PreschoolDelayed DiagnosisFemaleGenetic TestingHumansInfantMaleMiddle AgedMosaicismPhenotypedermatologygeneticsrare diseases

Identifiers

PMID41496737
PMCPMC13075645

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.