[ad_1]
Bowl MR, Dawson SJ. Age-Related Hearing Loss. Cold Spring Harb Perspect Med. 2019;8(9): a033217.
Google Scholar
Organization WH. World report on hearing. World Health Organization; 2021.
Gates GA, Mills JH. Presbycusis. Lancet. 2005;366:1111–20.
Google Scholar
Perez P, Bao J. Why do hair cells and spiral ganglion neurons in the cochlea die during aging? Aging Dis. 2011;2:231.
Google Scholar
Dalton DS, Cruickshanks KJ, Klein BE, Klein R, Wiley TL, Nondahl DM. The impact of hearing loss on quality of life in older adults. Gerontologist. 2003;43:661–8.
Google Scholar
Chia EM, Wang JJ, Rochtchina E, Cumming RR, Newall P, Mitchell P. Hearing impairment and health-related quality of life: the Blue Mountains Hearing Study. Ear Hear. 2007;28:187–95.
Google Scholar
Liberman MC, Kujawa SG. Cochlear synaptopathy in acquired sensorineural hearing loss: Manifestations and mechanisms. Hear Res. 2017;349:138–47.
Google Scholar
Tu NC, Friedman RA. Age-related hearing loss: Unraveling the pieces. Laryngoscope Investig Otolaryngol. 2018;3:68–72.
Google Scholar
Yamasoba T, Lin FR, Someya S, Kashio A, Sakamoto T, Kondo K. Current concepts in age-related hearing loss: epidemiology and mechanistic pathways. Hear Res. 2013;303:30–8.
Google Scholar
Van Laer L, Huyghe JR, Hannula S, Van Eyken E, Stephan DA, Mäki-Torkko E, et al. A genome-wide association study for age-related hearing impairment in the Saami. Eur J Hum Genet. 2010;18:685–93.
Google Scholar
Hoffmann TJ, Keats BJ, Yoshikawa N, Schaefer C, Risch N, Lustig LR. A Large Genome-Wide Association Study of Age-Related Hearing Impairment Using Electronic Health Records. PLoS Genet. 2016;12: e1006371.
Google Scholar
Fransen E, Bonneux S, Corneveaux JJ, Schrauwen I, Di Berardino F, White CH, et al. Genome-wide association analysis demonstrates the highly polygenic character of age-related hearing impairment. Eur J Hum Genet. 2015;23:110–5.
Google Scholar
Friedman RA, Van Laer L, Huentelman MJ, Sheth SS, Van Eyken E, Corneveaux JJ, et al. GRM7 variants confer susceptibility to age-related hearing impairment. Hum Mol Genet. 2009;18:785–96.
Google Scholar
Girotto G, Pirastu N, Sorice R, Biino G, Campbell H, d’Adamo AP, et al. Hearing function and thresholds: a genome-wide association study in European isolated populations identifies new loci and pathways. J Med Genet. 2011;48:369–74.
Google Scholar
Chatterjee N, Shi J, García-Closas M. Developing and evaluating polygenic risk prediction models for stratified disease prevention. Nat Rev Genet. 2016;17:392–406.
Google Scholar
Cherny SS, Livshits G, Wells HRR, Freidin MB, Malkin I, Dawson SJ, et al. Self-reported hearing loss questions provide a good measure for genetic studies: a polygenic risk score analysis from UK Biobank. Eur J Hum Genet EJHG. 2020;28:1056–65.
Google Scholar
Yévenes-Briones H, Caballero FF, Banegas JR, Rodríguez-Artalejo F, Lopez-Garcia E. Association of Lifestyle Behaviors With Hearing Loss. Mayo Clin Proc. 2022;97:2040–9.
Google Scholar
Dawes P, Cruickshanks KJ, Moore DR, Edmondson-Jones M, McCormack A, Fortnum H, et al. Cigarette Smoking, Passive Smoking, Alcohol Consumption, and Hearing Loss. J Assoc Res Otolaryngol. 2014;15:663–74.
Google Scholar
Horikawa C, Kodama S, Tanaka S, Fujihara K, Hirasawa R, Yachi Y, et al. Diabetes and risk of hearing impairment in adults: a meta-analysis. J Clin Endocrinol Metab. 2013;98:51–8.
Google Scholar
Wells HRR, Newman TA, Williams FMK. Genetics of age-related hearing loss. J Neurosci Res. 2020;98:1698–704.
Google Scholar
Bycroft C, Freeman C, Petkova D, Band G, Elliott LT, Sharp K, et al. The UK Biobank resource with deep phenotyping and genomic data. Nature. 2018;562:203–9.
Google Scholar
Verma A, Damrauer SM, Naseer N, Weaver J, Kripke CM, Guare L, et al. The Penn Medicine BioBank: Towards a Genomics-Enabled Learning Healthcare System to Accelerate Precision Medicine in a Diverse Population. J Pers Med. 2022;12:1974.
Google Scholar
Liu W, Johansson Å, Rask-Andersen H, Rask-Andersen M. A combined genome-wide association and molecular study of age-related hearing loss in H. sapiens. BMC Med. 2021;19:1–23.
Google Scholar
Lewis MA, Schulte BA, Dubno JR, Steel KP. Investigating the characteristics of genes and variants associated with self-reported hearing difficulty in older adults in the UK Biobank. BMC Biol. 2022;20:150.
Google Scholar
Wells HR, Freidin MB, Abidin FNZ, Payton A, Dawes P, Munro KJ, et al. GWAS identifies 44 independent associated genomic loci for self-reported adult hearing difficulty in UK Biobank. Am J Hum Genet. 2019;105:788–802.
Google Scholar
Okbay A, Wu Y, Wang N, Jayashankar H, Bennett M, Nehzati SM, et al. Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals. Nat Genet. 2022;54:437–49.
Google Scholar
Fransen E, Topsakal V, Hendrickx JJ, Van Laer L, et al. Occupational noise, smoking, and a high body mass index are risk factors for age-related hearing impairment and moderate alcohol consumption is protective: a European population-based multicenter study. J Assoc Res Otolaryngol JARO. 2008;9:264–76 discussion 261–263.
Google Scholar
Gopinath B, Flood VM, McMahon CM, Burlutsky G, Smith W, Mitchell P. The effects of smoking and alcohol consumption on age-related hearing loss: the Blue Mountains Hearing Study. Ear Hear. 2010;31:277–82.
Google Scholar
Lloyd-Jones DM, Hong Y, Labarthe D, Mozaffarian D, Appel LJ, Van Horn L, et al. Defining and setting national goals for cardiovascular health promotion and disease reduction: the American Heart Association’s strategic Impact Goal through 2020 and beyond. Circulation. 2010;121:586–613.
Google Scholar
Whayne TF, Saha SP. Genetic risk, adherence to a healthy lifestyle, and ischemic heart disease. Curr Cardiol Rep. 2019;21:1–8.
Google Scholar
Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, et al. Harmonizing the metabolic syndrome: a joint interim statement of the international diabetes federation task force on epidemiology and prevention; national heart, lung, and blood institute; American heart association; world heart federation; international atherosclerosis society; and international association for the study of obesity. Circulation. 2009;120:1640–5.
Google Scholar
Yun JS, Jung SH, Shivakumar M, Xiao B, Khera AV, Won HH, et al. Polygenic risk for type 2 diabetes, lifestyle, metabolic health, and cardiovascular disease: a prospective UK Biobank study. Cardiovasc Diabetol. 2022;21:1–11.
Google Scholar
O’Connell J, Sharp K, Shrine N, Wain L, Hall I, Tobin M, et al. Haplotype estimation for biobank-scale data sets. Nat Genet. 2016;48:817–20.
Google Scholar
Howie BN, Donnelly P, Marchini J. A flexible and accurate genotype imputation method for the next generation of genome-wide association studies. PLoS Genet. 2009;5: e1000529.
Google Scholar
Fuchsberger C, Abecasis GR, Hinds DA. minimac2: faster genotype imputation. Bioinformatics. 2014;31:782–4.
Google Scholar
Browning SR. Missing data imputation and haplotype phase inference for genome-wide association studies. Hum Genet. 2008;124:439–50.
Google Scholar
Das S, Forer L, Schönherr S, Sidore C, Locke AE, Kwong A, et al. Next-generation genotype imputation service and methods. Nat Genet. 2016;48:1284–7.
Google Scholar
McCarthy S, Das S, Kretzschmar W, Delaneau O, Wood AR, Teumer A, et al. A reference panel of 64,976 haplotypes for genotype imputation. Nat Genet. 2016;48:1279–83.
Genomes Project Consortium. A global reference for human genetic variation. Nature. 2015;526:68.
Google Scholar
Kurki MI, Karjalainen J, Palta P, Sipilä TP, Kristiansson K, Donner KM, et al. FinnGen provides genetic insights from a well-phenotyped isolated population. Nature. 2023;613:508–18.
Google Scholar
Ge T, Chen CY, Ni Y, Feng YCA, Smoller JW. Polygenic prediction via Bayesian regression and continuous shrinkage priors. Nat Commun. 2019;10:1776.
Google Scholar
Chang CC, Chow CC, Tellier LC, Vattikuti S, Purcell SM, Lee JJ. Second-generation PLINK: rising to the challenge of larger and richer datasets. GigaScience. 2015;4:7.
Google Scholar
Zhou W, Nielsen JB, Fritsche LG, Dey R, Gabrielsen ME, Wolford BN, et al. Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies. Nat Genet. 2018;50:1335–41.
Google Scholar
Hinrichs AS, Karolchik D, Baertsch R, Barber GP, Bejerano G, Clawson H, et al. The UCSC Genome Browser Database: update 2006. Nucleic Acids Res. 2006;34:D590-598.
Google Scholar
Privé F, Arbel J, Vilhjálmsson BJ. LDpred2: better, faster, stronger. Bioinformatics. 2020;36:5424–31.
Google Scholar
Mak TSH, Porsch RM, Choi SW, Zhou X, Sham PC. Polygenic scores via penalized regression on summary statistics. Genet Epidemiol. 2017;41:469–80.
Google Scholar
Choi SW, O’Reilly PF. PRSice-2: Polygenic Risk Score software for biobank-scale data. Gigascience. 2019;8:giz082.
Google Scholar
Wang J, Lange K, Sung V, Morgan A, Saffery R, Wake M. PRS__Association of Polygenic Risk Scores for Hearing Difficulty in Older Adults With Hearing Loss in Mid-Childhood and Midlife: A Population-Based Cross-sectional Study Within the Longitudinal Study of Australian Children. JAMA Otolaryngol Neck Surg. 2023;149:204–11.
Google Scholar
Hui D, Mehrabi S, Quimby AE, Chen T, Chen S, Park J, et al. Gene burden analysis identifies genes associated with increased risk and severity of adult-onset hearing loss in a diverse hospital-based cohort. PLoS Genet. 2023;19: e1010584.
Google Scholar
Schuknecht HF, Gacek MR. Cochlear Pathology in Presbycusis. Ann Otol Rhinol Laryngol. 1993;102:1–16.
Google Scholar
Davis RR, Newlander JK, Ling X, Cortopassi GA, Krieg EF, Erway LC. Genetic basis for susceptibility to noise-induced hearing loss in mice. Hear Res. 2001;155:82–90.
Google Scholar
Fetoni AR, Pisani A, Rolesi R, Paciello F, Viziano A, Moleti A, et al. Early Noise-Induced Hearing Loss Accelerates Presbycusis Altering Aging Processes in the Cochlea. Front Aging Neurosci [Internet]. 2022 [cited 2023 Mar 31];14. Available from: https://doi.org/10.3389/fnagi.2022.803973.
Curhan SG, Eavey R, Shargorodsky J, Curhan GC. Prospective study of alcohol use and hearing loss in men. Ear Hear. 2011;32:46–52.
Google Scholar
Curhan SG, Eavey R, Wang M, Stampfer MJ, Curhan GC. Prospective study of alcohol consumption and self-reported hearing loss in women. Alcohol Fayettev N. 2015;49:71–7.
Google Scholar
Girotto G, Pirastu N, Gasparini A, D’Adamo P, Gasparini P. Frequency of hearing loss in a series of rural communities of five developing countries located along the Silk Road. Audiol Med. 2011;9:135–40.
Google Scholar
Nolan LS. Age-related hearing loss: Why we need to think about sex as a biological variable. J Neurosci Res. 2020;98:1705–20.
Google Scholar
Khramtsova EA, Davis LK, Stranger BE. The role of sex in the genomics of human complex traits. Nat Rev Genet. 2019;20:173–90.
Google Scholar
Mignogna G, Carey CE, Wedow R, Baya N, Cordioli M, Pirastu N, et al. Patterns of item nonresponse behaviour to survey questionnaires are systematic and associated with genetic loci. Nat Hum Behav. 2023;7:1371–87.
Google Scholar
[ad_2]
Source link
