Evidence map›Paper›PMID 40533831›Full record

ArticleHuman genomics2025

Outcomes of genetic testing for Usher syndrome in a diverse population cohort from South Florida.

Zachary J Cromar, Ryan Chen, Tamara Juvier Riesgo, Denise Yan, Lindsay Dawn Verma, Zhengyi Chen, Susan H Blanton, Byron L Lam, Xue Zhong Liu

Abstract read
In one paragraph

Article in Human genomics, 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. Article
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

9 authors.

Zachary J CromarDepartment of Human Genetics, Dr. John T. Macdonald Foundation, University of Miami Miller School of Medicine, Miami, USA.
Ryan ChenDepartment of Human Genetics, Dr. John T. Macdonald Foundation, University of Miami Miller School of Medicine, Miami, USA.
Tamara Juvier RiesgoBascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, USA.
Denise YanDepartment of Otolaryngology, University of Miami Miller School of Medicine, Miami, USA.
Lindsay Dawn VermaDepartment of Otolaryngology, University of Miami Miller School of Medicine, Miami, USA.
Zhengyi ChenEaton-Peabody Laboratory, Massachusetts Eye and Ear Infirmary, Department of Otolaryngology- Head and Neck Surgery, Harvard Medical School, Boston, USA.
Susan H BlantonDepartment of Human Genetics, Dr. John T. Macdonald Foundation, University of Miami Miller School of Medicine, Miami, USA.
Byron L LamBascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, USA.
Xue Zhong LiuDepartment of Human Genetics, Dr. John T. Macdonald Foundation, University of Miami Miller School of Medicine, Miami, USA. x.liu1@med.miami.edu.

Funding

Molecular Genetics on Non Syndromic Hearing Loss (NSHL)R01DC005575 · NIDCD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI LIU, XUE Z · 2001 to 2024
$10.6M
Preclinical Testing of PI3K Inhibitors for Vestibular SchwannomasR01DC017264 · NIDCD · UNIVERSITY OF CENTRAL FLORIDA · PI FERNANDEZ-VALLE, CRISTINA MARIA, LIU, XUE Z · 2018 to 2022
$3.1M
Miami Otolaryngology Surgeon-Scientist Training Program (MOSSTP)R25DC020726 · NIDCD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Christine Thuyvan Dinh · 2023 to 2026
$988k
Development of human inner ear organoid platforms for human auditory/vestibular disordersR01DC022239 · NIDCD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI LIU, XUE Z · 2025 to 2025
$767k
Bascom Palmer Eye Institute Mark J. Daily Inherited Retinal Disease Research Center EndowmentNIDCD NIH HHS R01 DC005575NIDCD NIH HHS R01 DC017264NIDCD NIH HHS R01 DC022239NIDCD NIH HHS R25 DC020726NIH HHS R01DC017264
6 · The paper itself

Abstract

backgroundUsher syndrome (USH) is the leading genetic cause of congenital deaf blindness worldwide. USH is an autosomal recessive disorder clinically characterized by partial or complete congenital sensorineural hearing loss followed by progressive vision loss due to retinitis pigmentosa. There are three main subtypes (USH1, USH2, USH3) with different genetic causes categorized by age of symptom onset and severity. Understanding the genetic epidemiology of USH can help identify novel mutations and facilitate definitive diagnosis and treatment. This retrospective study characterizes the mutation spectrum of USH in an ethnically diverse South Florida population.

resultsOf the 148 patients assessed for this study, 67 were male and 81 were female. In this population, one identified as American Indian or Alaska Native, 6 identified as Asian (A), eight identified as Black or African American (AA), eight identified as More than One Race, 26 were identified as Unknown or Not Reported, and 99 were identified as white. In addition, 42 identified as Hispanic or Latino, 87 identified as Non-Hispanic or Latino, and 19 were identified as Unknown or Not Reported; all individuals identifying as Hispanic or Latino were either White or Unknown. One American Indian or Alaska Native patient, two Asian patients, two Black or African American Patients, and 15 white patients had inconclusive molecular testing results. In our population, White Non-Hispanics were more likely to receive a conclusive molecular diagnosis for their hearing loss.

conclusionsThis is the first genetic characterization of an ethnically diverse South Florida population with USH, which can help direct patient diagnosis and medical care. As clinical trials for treatment increases, molecular testing in all individuals is imperative.

Indexed as

Genetic TestingUsher SyndromesAdolescentAdultChildChild, PreschoolCohort StudiesFemaleFloridaHumansInfantMaleMiddle AgedMutationRetrospective StudiesYoung AdultBlindnessDeafnessMinoritiesRetinitis pigmentosaUsher syndrome

Identifiers

PMID40533831
PMCPMC12177953

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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.