Evidence map›Paper›PMID 42644240›Full record

ArticleClinical genetics2026

Uncovering the Genetic Landscape of Pediatric Hearing Loss Along the Texas-Mexico Border.

Desiree Lanehart, Michelle Gray, Roberta Sierra, Camille Maldonado, Daniel Brooks, Hongzheng Dai, Aaly Rahimtoola, Sandy Magallan, Sarah Rodriguez, Jose Gamez and 8 more

Abstract read
In one paragraph

Article in Clinical genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Desiree LanehartUniversity of Texas Rio Grande Valley, Harlingen, Texas, USA.ORCID https://orcid.org/0009-0008-6083-0387
Michelle GrayDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Roberta SierraDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Camille MaldonadoDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Daniel BrooksDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.ORCID https://orcid.org/0009-0000-1433-1589
Hongzheng DaiDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Aaly RahimtoolaUniversity of Texas at Dallas, Richardson, Texas, USA.
Sandy MagallanDHR Health, Edinburg, Texas, USA.
Sarah RodriguezDriscoll Children's Hospital, Edinburg, Texas, USA.
Jose GamezDriscoll Children's Hospital, Edinburg, Texas, USA.
Pattie RosenlundEasterseals Rio Grande Valley, McAllen, Texas, USA.
Surya N MulukutlaDHR Health, Edinburg, Texas, USA.ORCID https://orcid.org/0000-0002-0447-0638
Alberto AllegreUniversity of Texas Rio Grande Valley, Harlingen, Texas, USA.
Lori BerryUniversity of Texas Rio Grande Valley, Harlingen, Texas, USA.
Brendan LeeDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.ORCID https://orcid.org/0000-0001-8573-4211
Daryl A ScottDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.ORCID https://orcid.org/0000-0003-1460-5169
Blake VuocoloDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-8445-9809
Seema R LalaniDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.ORCID https://orcid.org/0000-0003-0707-657X

Funding

Virtual Platforms for Genetics Evaluation in the Medically UnderservedUH3TR004047 · NCATS · BAYLOR COLLEGE OF MEDICINE · PI Seema R Lalani · 2024 to 2026
$1.4M
Virtual Platforms for Genetics Evaluation in the Medically UnderservedUG3TR004047 · NCATS · BAYLOR COLLEGE OF MEDICINE · PI LALANI, SEEMA R · 2022 to 2023
$619k
National Institutes of Health Sub-Organization National Center for Advancing Translational Sciences 5UG3TR004047National Institutes of Health Sub-Organization National Center for Advancing Translational Sciences 5UH3TR004047NCATS NIH HHS UG3 TR004047NCATS NIH HHS UH3 TR004047
6 · The paper itself

Abstract

Children in Health Professional Shortage Areas (HPSAs), including the US border regions, experience delays in the diagnosis of hereditary hearing loss (HL), driven primarily by limited access to specialized genetic services. Although approximately 60% of congenital HL has a genetic etiology, many affected children in these communities remain undiagnosed, delaying timely intervention. Project GIVE is an NIH-funded virtual genomics program that expands access to genome sequencing (GS) for children with undiagnosed multisystemic conditions along the Texas-Mexico border in the Rio Grande Valley (RGV) and El Paso regions of Texas, USA. Children (0-18 years) with suspected rare diseases were referred by regional healthcare professionals through a virtual portal, Consultagene, and underwent comprehensive virtual clinical genetics evaluation and trio GS. Among 23 Hispanic/Latino children evaluated for HL, 16 (~70%) received a molecular diagnosis. Of these, 56% had changes to medical management. Our findings demonstrate that high diagnostic yield for pediatric HL can be achieved in under-resourced populations when genomic testing barriers are addressed. As targeted therapies for hereditary HL emerge, broader implementation of comprehensive genetic testing in HPSAs is crucial to ensure timely medical interventions.

Indexed as

Genetic Predisposition to DiseaseHearing LossAdolescentChildChild, PreschoolFemaleGenetic TestingHispanic or LatinoHumansInfantInfant, NewbornMaleMexicoTexasdiagnostic yieldgenome sequencinghealth disparitieshereditary hearing loss

Identifiers

PMID42644240
PMCPMC13631070

What OpenQuestion holds

Textmetadata
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.