Evidence map›Paper›PMID 27520957›Full record

ArticleG3 (Bethesda, Md.)2016

The Genetic Architecture of Noise-Induced Hearing Loss: Evidence for a Gene-by-Environment Interaction.

Joel Lavinsky, Marshall Ge, Amanda L Crow, Calvin Pan, Juemei Wang, Pezhman Salehi, Anthony Myint, Eleazar Eskin, Hooman Allayee, Aldons J Lusis and 1 more

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. [Research progress in genetics of noise-induced hearing loss].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2024
    Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Integrating pharmacogenomics into clinical trials of hearing disorders.The Journal of the Acoustical Society of America · 2022
    Article
  10. Review
  11. Polymorphisms in the FAS gene are associated with susceptibility to noise-induced hearing loss.Environmental science and pollution research international · 2021
    Article
  12. Personal Music Players Use and Other Noise Hazards among Children 11 to 12 Years Old.International journal of environmental research and public health · 2020
    Article
  13. Pathology and mechanisms of cochlear aging.Journal of neuroscience research · 2020
    Review
  14. The Genetics of Variation of the Wave 1 Amplitude of the Mouse Auditory Brainstem Response.Journal of the Association for Research in Otolaryngology : JARO · 2020
    Article
  15. Burden of disease: A scoping review of HIV/AIDS and TB in occupational noise-induced hearing loss.The South African journal of communication disorders = Die Suid-Afrikaanse tydskrif vir Kommunikasieafwykings · 2020
    Article
  16. Article
  17. Review
  18. The use of nonhuman primates in studies of noise injury and treatment.The Journal of the Acoustical Society of America · 2019
    Review
  19. 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

11 authors.

Joel LavinskyTina and Rick Caruso Department of Otolaryngology, Zilkha Neurogenetic Institute Graduate Program in Surgical Sciences, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.ORCID 0000-0002-0377-5704
Marshall GeTina and Rick Caruso Department of Otolaryngology, Zilkha Neurogenetic Institute.
Amanda L CrowDepartment of Preventive Medicine and Institute for Genetic Medicine, USC Keck School of Medicine, University of Southern California, Los Angeles, California 90033.ORCID 0000-0002-1013-8789
Calvin PanDepartment of Human Genetics.ORCID 0000-0002-3723-6688
Juemei WangTina and Rick Caruso Department of Otolaryngology, Zilkha Neurogenetic Institute.ORCID 0000-0002-5344-2510
Pezhman SalehiTina and Rick Caruso Department of Otolaryngology, Zilkha Neurogenetic Institute.
Anthony MyintTina and Rick Caruso Department of Otolaryngology, Zilkha Neurogenetic Institute.ORCID 0000-0002-9790-1942
Eleazar EskinDepartment of Computer Science.ORCID 0000-0003-1149-4758
Hooman AllayeeDepartment of Preventive Medicine and Institute for Genetic Medicine, USC Keck School of Medicine, University of Southern California, Los Angeles, California 90033.
Aldons J LusisDepartment of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, California 90024.ORCID 0000-0001-9013-0228
Rick A FriedmanTina and Rick Caruso Department of Otolaryngology, Zilkha Neurogenetic Institute rick.friedman@med.usc.edu.ORCID 0000-0002-5490-8562

Funding

Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROB S MCCONNELL · 1996 to 2026
$46.4M
Southern California Clinical and Translational Science InstituteUL1TR000130 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$36.0M
Training Grant in Genomic Analysis and InterpretationT32ES013678 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GAUDERMAN, WILLIAM JAMES, MCCONNELL, ROB S · 2006 to 2023
$5.6M
INTEGRATIVE GENETIC APPROACHES TO GENE-AIR POLLUTION INTERACTIONS IN ASTHMAR01ES021801 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI AKBARI, OMID, ALLAYEE, HOOMAN · 2012 to 2016
$3.9M
High-Resolution Mapping of Susceptibility Genes for NIHLR01DC010856 · NIDCD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FRIEDMAN, RICK A · 2011 to 2015
$2.2M
Correcting for Population Structure in Gene-by-Environment Interaction StudiesR01ES022282 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ESKIN, ELEAZAR · 2013 to 2015
$1.2M
NCATS NIH HHS UL1 TR000130NIDCD NIH HHS R01 DC010856NIEHS NIH HHS P30 ES007048NIEHS NIH HHS R01 ES021801NIEHS NIH HHS R01 ES022282NIEHS NIH HHS T32 ES013678
6 · The paper itself

Abstract

The discovery of environmentally specific genetic effects is crucial to the understanding of complex traits, such as susceptibility to noise-induced hearing loss (NIHL). We describe the first genome-wide association study (GWAS) for NIHL in a large and well-characterized population of inbred mouse strains, known as the Hybrid Mouse Diversity Panel (HMDP). We recorded auditory brainstem response (ABR) thresholds both pre and post 2-hr exposure to 10-kHz octave band noise at 108 dB sound pressure level in 5-6-wk-old female mice from the HMDP (4-5 mice/strain). From the observation that NIHL susceptibility varied among the strains, we performed a GWAS with correction for population structure and mapped a locus on chromosome 6 that was statistically significantly associated with two adjacent frequencies. We then used a "genetical genomics" approach that included the analysis of cochlear eQTLs to identify candidate genes within the GWAS QTL. In order to validate the gene-by-environment interaction, we compared the effects of the postnoise exposure locus with that from the same unexposed strains. The most significant SNP at chromosome 6 (rs37517079) was associated with noise susceptibility, but was not significant at the same frequencies in our unexposed study. These findings demonstrate that the genetic architecture of NIHL is distinct from that of unexposed hearing levels and provide strong evidence for gene-by-environment interactions in NIHL.

Indexed as

EnvironmentGene-Environment InteractionGenetic Predisposition to DiseaseAnimalsCluster AnalysisCochleaDisease Models, AnimalFemaleGene Expression ProfilingGenetic BackgroundGenome-Wide Association StudyHearing Loss, Noise-InducedHearing TestsMicePhenotypePolymorphism, Single NucleotideeQTLgene-by-environmentGWASHMDPNIHL

Identifiers

PMID27520957
PMCPMC5068943

What OpenQuestion holds

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LicenceCC BY
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.