Evidence map›Paper›PMID 41431246›Full record

ReviewMolecular genetics & genomic medicine2025

A Zebra in Horse's Clothing: Rethinking the Diagnosis of Rare Diseases.

Rajeev Dutta, Cathy Duong, Virginia Kimonis, Changrui Xiao

Abstract readReview
In one paragraph

Review in Molecular genetics & genomic medicine, 2025. 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

4 authors.

Rajeev DuttaSchool of Medicine, University of California, Irvine, Irvine, California, USA.ORCID https://orcid.org/0000-0002-6534-8812
Cathy DuongDivision of Genetics and Metabolism, Department of Pediatrics, University of California, Irvine, Irvine, California, USA.
Virginia KimonisDivision of Genetics and Metabolism, Department of Pediatrics, University of California, Irvine, Irvine, California, USA.
Changrui XiaoDivision of Genetics and Metabolism, Department of Pediatrics, University of California, Irvine, Irvine, California, USA.ORCID https://orcid.org/0000-0001-9536-3389

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRare diseases sometimes present with deceptively common symptoms, complicating diagnosis and decisions about genetic testing. While testing for rare disease offers important benefits, it also carries risks that warrant careful consideration.

methodsWe review illustrative cases of rare diseases, along with current screening and diagnostic practices, to reexamine guiding principles for genetic testing. The analysis focuses on balancing clinical utility, patient-centered care, and broader policy implications.

resultsWe propose a number of recommendations to guide testing, including ruling out common causes before proceeding, ensuring the presentation is atypical for other common conditions, confirming consistency with a specific, treatable rare disease entity or group, assessing patient or family capacity for informed decision-making, and matching test invasiveness to expected diagnostic utility. Comparison with newborn screening and diagnostic testing highlights discrepancies between these principles and common practices, highlighting the difficulty of achieving consistency.

conclusionsEstablishing uniform guidelines for genetic testing remains challenging, particularly given the limited knowledge surrounding rare disorders. Coordinated efforts are needed to protect patient interests, assess the utility of diagnoses across varied contexts, and ensure that both clinical practice and policy development maximize benefits while minimizing harms.

Indexed as

Genetic TestingRare DiseasesHumansdiagnosisgenetic testingrare and undiagnosed diseaseszebra

Identifiers

PMID41431246
PMCPMC12723074

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.