Evidence map›Paper›PMID 30947719›Full record

ArticleEnvironmental health : a global access science source2019

Screening of noise-induced hearing loss (NIHL)-associated SNPs and the assessment of its genetic susceptibility.

Xuhui Zhang, Yaqin Ni, Yi Liu, Lei Zhang, Meibian Zhang, Xinyan Fang, Zhangping Yang, Qiang Wang, Hao Li, Yuyong Xia and 1 more

Open access · goldAbstract read
In one paragraph

Article in Environmental health : a global access science source, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 12% of its field
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
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  8. [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
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  10. Integrating pharmacogenomics into clinical trials of hearing disorders.The Journal of the Acoustical Society of America · 2022
    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

11 authors at 4 institutions in 1 country.

Xuhui ZhangHangzhou Center for Disease Control and Prevention, Hangzhou, 310021, Zhejiang, China.
Yaqin NiDepartment of Epidemiology and Biostatistics, Department of Respiratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Zhejiang, Hangzhou, 310058, People's Republic of China.
Yi LiuDepartment of Epidemiology and Biostatistics, Department of Respiratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Zhejiang, Hangzhou, 310058, People's Republic of China.
Lei ZhangHangzhou Hospital for Prevention and Treatment of Occupational Disease, Hangzhou, 310014, Zhejiang, China.
Meibian ZhangZhejiang Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang, China.
Xinyan FangYongkang Center for Disease Control and Prevention, Yongkang, 321304, People's Republic of China.
Zhangping YangHangzhou Center for Disease Control and Prevention, Hangzhou, 310021, Zhejiang, China.
Qiang WangHangzhou Hospital for Prevention and Treatment of Occupational Disease, Hangzhou, 310014, Zhejiang, China.
Hao LiHangzhou Center for Disease Control and Prevention, Hangzhou, 310021, Zhejiang, China.
Yuyong XiaHangzhou Center for Disease Control and Prevention, Hangzhou, 310021, Zhejiang, China.
Yimin ZhuDepartment of Epidemiology and Biostatistics, Department of Respiratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Zhejiang, Hangzhou, 310058, People's Republic of China. zhuym@zju.edu.cn.
Hangzhou Center for Disease Control and Prevention · CNZhejiang University · CNSir Run Run Shaw Hospital · CNZhejiang Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to screen for noise-induced hearing loss (NIHL)-associated single nucleotide polymorphisms (SNPs) and to construct genetic risk prediction models for NIHL in a Chinese population.

methodsFour hundred seventy-six subjects with NIHL and 476 matched controls were recruited from a cross-sectional survey on NIHL in China. A total of 83 candidate SNPs were genotyped using nanofluidic dynamic arrays on a Fluidigm platform. NIHL-associated SNPs were screened with a multiple logistic model, and a genetic risk model was constructed based on the genetic risk score (GRS). The results were validated using a prospective cohort population.

resultsSeven SNPs in the CDH23, PCDH15, EYA4, MYO1A, KCNMA1, and OTOG genes were significantly (P < 0.05) associated with the risk of NIHL, whereas seven other SNPs were marginally (P > 0.05 and P < 0.1) associated with the risk of NIHL. A positive correlation was observed between GRS values and odds ratio (OR) for NIHL. Two SNPs, namely, rs212769 and rs7910544, were validated in the cohort study. Subjects with higher GRS (≧9) showed a higher risk of NIHL incidence with an OR of 2.00 (95% CI = 1.04, 3.86).

conclusionsGenetic susceptibility plays an important role in the incidence of NIHL. GRS values, which are based on NIHL-associated SNPs. GRS may be utilized in the evaluation of genetic risk for NIHL and in the determination of NIHL susceptibility.

Indexed as

Genetic Predisposition to DiseaseAdultAsian PeopleChinaCohort StudiesFemaleHearing Loss, Noise-InducedHumansMaleMiddle AgedModels, BiologicalNoise, OccupationalOdds RatioPolymorphism, Single NucleotideGenetic risk predictionGenetic risk score (GRS)Genetic susceptibilityNoise-induced hearing loss (NIHL)Single nucleotide polymorphisms (SNPs)

Identifiers

PMID30947719
PMCPMC6449917
OpenAlexW2930603305

What OpenQuestion holds

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LicenceCC BY
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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.