Sex-Dependent Aggregation of Tinnitus in Swedish Families
Metadatos
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Mdpi
Materia
Tinnitus Familial aggregation Genetic risk Hearing loss Bilateral Unilateral Constant
Fecha
2020-11-25Referencia bibliográfica
Trpchevska, N., Bulla, J., Prada Hellberg, M., Edvall, N. K., Lazar, A., Mehraei, G., ... & Cederroth, C. R. (2020). Sex-Dependent Aggregation of Tinnitus in Swedish Families. Journal of clinical medicine, 9(12), 3812. [doi:10.3390/jcm9123812]
Patrocinador
GENDER-Net Co-Plus Fund GNP-182; European Union's Horizon 2020 Research and Innovation Programme 848261; European Union (EU) 722046 [44]; Svenska Lakaresallskapet SLS-779681; Horselforskningsfonden 503; Tysta Skolan; Karolinska Institutet Summer Course in Medical Research; Swedish Research Council 2017-00641Resumen
Twin and adoption studies point towards a genetic contribution to tinnitus; however,
how the genetic risk applies to di erent forms of tinnitus is poorly understood. Here, we perform
a familial aggregation study and determine the relative recurrence risk for tinnitus in siblings ( s).
Four di erent Swedish studies (N = 186,598) were used to estimate the prevalence of self-reported
bilateral, unilateral, constant, and severe tinnitus in the general population and we defined whether
these 4 di erent forms of tinnitus segregate in families from the Swedish Tinnitus Outreach Project
(STOP, N = 2305). We implemented a percentile bootstrap approach to provide accurate estimates
and confidence intervals for s. We reveal a significant s for all types of tinnitus, the highest found
being 7.27 (95% CI (5.56–9.07)) for severe tinnitus, with a higher susceptibility in women (10.25;
95% CI (7.14–13.61)) than in men (5.03; 95% CI (3.22–7.01)), suggesting that severity may be the most
genetically influenced trait in tinnitus in a sex-dependent manner. Our findings strongly support
the notion that genetic factors impact on the development of tinnitus, more so for severe tinnitus.
These findings highlight the importance of considering tinnitus severity and sex in the design of large
genetic studies to optimize diagnostic approaches and ultimately improve therapeutic interventions.