Evidence map›Paper›PMID 37783963›Full record

ArticleJournal of the Association for Research in Otolaryngology : JARO2023

Polygenic Risk Score-Based Association Analysis of Speech-in-Noise and Hearing Threshold Measures in Healthy Young Adults with Self-reported Normal Hearing.

Ishan Sunilkumar Bhatt, Sai Kumar Ramadugu, Shawn Goodman, Srividya Grama Bhagavan, Valerie Ingalls, Raquel Dias, Ali Torkamani

Abstract read
In one paragraph

Article in Journal of the Association for Research in Otolaryngology : JARO, 2023. 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. DNA Methylation Patterns Associated with Tinnitus in Young Adults-A Pilot Study.Journal of the Association for Research in Otolaryngology : JARO · 2024
    Article
  2. Article
  3. 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

7 authors.

Ishan Sunilkumar BhattDepartment of Communication Sciences & Disorders, University of Iowa, 250 Hawkins Dr, Iowa City, IA, 52242, USA. Ishan-Bhatt@uiowa.edu.ORCID 0009-0000-8549-3665
Sai Kumar RamaduguDepartment of Communication Sciences & Disorders, University of Iowa, 250 Hawkins Dr, Iowa City, IA, 52242, USA.
Shawn GoodmanDepartment of Communication Sciences & Disorders, University of Iowa, 250 Hawkins Dr, Iowa City, IA, 52242, USA.
Srividya Grama BhagavanDepartment of Communication Sciences & Disorders, University of Iowa, 250 Hawkins Dr, Iowa City, IA, 52242, USA.
Valerie IngallsDepartment of Communication Sciences & Disorders, University of Iowa, 250 Hawkins Dr, Iowa City, IA, 52242, USA.
Raquel DiasDepartment of Microbiology and Cell Science, University of Florida, Gainesville, FL, 32608, USA.
Ali TorkamaniDepartment of Integrative Structural and Computational Biology, Scripps Science Institute, La Jolla, CA, 92037, USA.

Funding

Tinnitus: Audiological measures and genetic susceptibilityR21DC016704 · NIDCD · UNIVERSITY OF IOWA · PI BHATT, ISHAN SUNILKUMAR · 2019 to 2021
$439k
NIDCD NIH HHS R21 DC016704NIDCD NIH HHS R21DC016704-01A1
6 · The paper itself

Abstract

purposeSpeech-in-noise (SIN) traits exhibit high inter-subject variability, even for healthy young adults reporting normal hearing. Emerging evidence suggests that genetic variability could influence inter-subject variability in SIN traits. Genome-wide association studies (GWAS) have uncovered the polygenic architecture of various adult-onset complex human conditions. Polygenic risk scores (PRS) summarize complex genetic susceptibility to quantify the degree of genetic risk for health conditions. The present study conducted PRS-based association analyses to identify PRS risk factors for SIN and hearing threshold measures in 255 healthy young adults (18-40 years) with self-reported normal hearing.

methodsSelf-reported SIN perception abilities were assessed by the Speech, Spatial, and Qualities of Hearing Scale (SSQ12). QuickSIN and audiometry (0.25-16 kHz) were performed on 218 participants. Saliva-derived DNA was used for low-pass whole genome sequencing, and 2620 PRS variables for various traits were calculated using the models derived from the polygenic risk score (PGS) catalog. The regression analysis was conducted to identify predictors for SSQ12, QuickSIN, and better ear puretone averages at conventional (PTA

resultsParticipants with a higher genetic predisposition to HDL cholesterol reported better SSQ12. Participants with high PRS to dementia revealed significantly elevated PTA

conclusionThese results indicate that healthy individuals with polygenic risk of certain health conditions could exhibit a subclinical decline in hearing health measures at young ages, decades before clinically meaningful SIN deficits and hearing loss could be observed. PRS could be used to identify high-risk individuals to prevent hearing health conditions by promoting a healthy lifestyle.

Indexed as

SpeechSpeech PerceptionGenome-Wide Association StudyHearingHumansRisk FactorsSelf ReportYoung AdultExtended high-frequency audiometryHearing lossPolygenic risk scoresQuickSINSpeech-in-noiseSpeech perceptionSSQ12

Identifiers

PMID37783963
PMCPMC10695896

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.