<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>10(11)</volume><submitter>Li CM</submitter><funding>Eunice Kennedy Shriver National Institute of Child Health and Human Development</funding><pubmed_abstract>Hearing loss is a major public problem with a heritability of up to 70%. Catechol-O-methyltransferase (COMT) encodes an enzyme that is highly expressed in sensory hair cells of the inner ear. The association between &lt;i>COMT&lt;/i> and hearing loss has not been reported previously in nationally representative population-based studies. A regression linear model was used to estimate associations between the allele/genotype of &lt;i>COMT&lt;/i> and self-reported hearing loss based on 13,403 individuals from Wave IV of the Add Health study, a nationally representative sample of multiethnic U.S. young adults. The inverse variance-weighted effect magnitude was estimated using a genetic meta-analysis model. The "A" allele frequency of rs6480 (a missense variant in &lt;i>COMT&lt;/i>) was 0.44. The prevalence of hearing loss was 7.9% for individuals with the "A" allele and 6.5% for those with the "G" allele. The "A" allele was significantly associated with increased hearing loss (&lt;i>p&lt;/i> = 0.01). The prevalence of hearing loss was 6.0%, 7.2%, and 8.7% for individuals with GG, AG, and AA genotypes, respectively, which was consistent with a genetic additive model. The genotypic association model showed that rs4680 was significantly associated with increased hearing loss (&lt;i>p&lt;/i> = 0.006). A missense variant of rs4680 in &lt;i>COMT&lt;/i> was significantly associated with increased hearing loss among young adults in a multi-racial/ethnic U.S. population-based cohort.</pubmed_abstract><journal>Biomedicines</journal><pagination>2756</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9687786</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>A Missense Variant in &lt;i>COMT&lt;/i> Associated with Hearing Loss among Young Adults: The National Longitudinal Study of Adolescent to Adult Health (Add Health).</pubmed_title><pmcid>PMC9687786</pmcid><pubmed_authors>Li CM</pubmed_authors><pubmed_authors>Zhang J</pubmed_authors><pubmed_authors>Chen L</pubmed_authors><pubmed_authors>Chen G</pubmed_authors><pubmed_authors>Hoffman HJ</pubmed_authors></additional><is_claimable>false</is_claimable><name>A Missense Variant in &lt;i>COMT&lt;/i> Associated with Hearing Loss among Young Adults: The National Longitudinal Study of Adolescent to Adult Health (Add Health).</name><description>Hearing loss is a major public problem with a heritability of up to 70%. Catechol-O-methyltransferase (COMT) encodes an enzyme that is highly expressed in sensory hair cells of the inner ear. The association between &lt;i>COMT&lt;/i> and hearing loss has not been reported previously in nationally representative population-based studies. A regression linear model was used to estimate associations between the allele/genotype of &lt;i>COMT&lt;/i> and self-reported hearing loss based on 13,403 individuals from Wave IV of the Add Health study, a nationally representative sample of multiethnic U.S. young adults. The inverse variance-weighted effect magnitude was estimated using a genetic meta-analysis model. The "A" allele frequency of rs6480 (a missense variant in &lt;i>COMT&lt;/i>) was 0.44. The prevalence of hearing loss was 7.9% for individuals with the "A" allele and 6.5% for those with the "G" allele. The "A" allele was significantly associated with increased hearing loss (&lt;i>p&lt;/i> = 0.01). The prevalence of hearing loss was 6.0%, 7.2%, and 8.7% for individuals with GG, AG, and AA genotypes, respectively, which was consistent with a genetic additive model. The genotypic association model showed that rs4680 was significantly associated with increased hearing loss (&lt;i>p&lt;/i> = 0.006). A missense variant of rs4680 in &lt;i>COMT&lt;/i> was significantly associated with increased hearing loss among young adults in a multi-racial/ethnic U.S. population-based cohort.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Oct</publication><modification>2026-05-18T03:09:36.256Z</modification><creation>2025-02-19T03:23:22.796Z</creation></dates><accession>S-EPMC9687786</accession><cross_references><pubmed>36359276</pubmed><doi>10.3390/biomedicines10112756</doi></cross_references></HashMap>