Evidence map›Paper›PMID 39509092›Full record

ArticleJAMA otolaryngology-- head & neck surgery2024

Polygenic Risk Scores and Hearing Loss Phenotypes in Children.

Jing Wang, Fan He, Daisy A Shepherd, Shuai Li, Katherine Lange, Valerie Sung, Angela Morgan, Jessica A Kerr, Richard Saffery, Melissa Wake

Abstract read
In one paragraph

Article in JAMA otolaryngology-- head & neck surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Jing WangMurdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.
Fan HeMurdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.
Daisy A ShepherdMurdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.
Shuai LiMurdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.
Katherine LangeMurdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.
Valerie SungMurdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.
Angela MorganMurdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.
Jessica A KerrMurdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.
Richard SafferyMurdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.
Melissa WakeMurdoch Children's Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Monogenic causes of childhood hearing loss are well established, as are polygenic risk contributions to age-related hearing loss. However, an untested possibility is that polygenic risk scores (PRS) also contribute to childhood hearing loss of all severities, alongside environmental and/or monogenic causes. Objective: To examine the association between a PRS for adult hearing loss and childhood hearing loss phenotypes. Design, Setting, and Participants: This cross-sectional study used a unique population-based dataset spanning normal hearing to profound loss, combining 2 contemporaneous population cohorts in Australia. This included the Child Health CheckPoint, a national population-based cross-sectional study nested within the Longitudinal Study of Australian Children, and the Victorian Childhood Hearing Longitudinal Databank (VicCHILD), a statewide population-based longitudinal data bank open to every child with congenital hearing loss in Victoria, Australia. The analysis took place from March to August 2023. Exposures: Genotype data were generated from saliva- or blood-derived DNA using global single-nucleotide variations arrays. Based on genotype data, PRS was computed using published UK Biobank genome-wide association study results for self-reported hearing difficulty in individuals aged 40 to 69 years. Main Outcomes and Measures: Hearing outcomes were classified by laterality (bilateral, unilateral), severity (mild, moderate, severe or worse) and types (sensorineural, conductive, mixed, auditory neuropathy, atresia). Analyses included multinominal logistic regressions of PRS with hearing outcomes. Results: Overall, 1488 CheckPoint study children (49.8% boys, aged 11-12 years) and 527 VicCHILD study children (55.2% boys, aged 0-13 years) with hearing and genotype data were included. A 1-SD increment in PRS was associated with higher odds of mild (odds ratio [OR], 1.3; 95% CI, 1.0-1.6), moderate (OR, 5.1; 95% CI, 3.2-8.1), and severe or worse (OR, 5.3; 95% CI, 3.9-7.3) unilateral hearing loss compared with normal hearing. Similarly, the PRS was associated with increased odds of mild, moderate, and severe or worse bilateral hearing loss (per-SD ORs, 3.9-6.6) and all hearing loss types (per-SD ORs, 8.5-10.6). Conclusions and Relevance: In this cross-sectional study, a PRS initially developed for adult hearing difficulty was associated with wide-ranging childhood hearing loss phenotypes, partly explaining hearing phenotype variations despite shared genetic and environmental factors (eg, preterm birth). Large-scale studies with objectively defined hearing phenotypes are crucial for refining PRS and predicting high-risk children.

Identifiers

PMID39509092
PMCPMC11544553

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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.