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Sex differences in the pleiotropy of hearing difficulty with imaging-derived phenotypes: a brain-wide investigation.
He, Jun; Cabrera-Mendoza, Brenda; De Angelis, Flavio; Pathak, Gita A; Koller, Dora; Curhan, Sharon G; Curhan, Gary C; Mecca, Adam P; van Dyck, Christopher H; Polimanti, Renato.
Affiliation
  • He J; Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA.
  • Cabrera-Mendoza B; Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA.
  • De Angelis F; Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), Veteran Affairs Connecticut Healthcare System, West Haven, CT 06516, USA.
  • Pathak GA; Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA.
  • Koller D; Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA.
  • Curhan SG; Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), Veteran Affairs Connecticut Healthcare System, West Haven, CT 06516, USA.
  • Curhan GC; Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA.
  • Mecca AP; Department of Genetics, Microbiology and Statistics, Faculty of Biology, University of Barcelona, Barcelona 08028, Spain.
  • van Dyck CH; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
  • Polimanti R; Harvard Medical School, Boston, MA 02115, USA.
Brain ; 2024 Mar 08.
Article in En | MEDLINE | ID: mdl-38454550
ABSTRACT
Hearing difficulty (HD) is one of the major health burdens in older adults. While aging-related changes in the peripheral auditory system play an important role, genetic variation associated with brain structure and function could also be involved in HD predisposition. We analyzed a large-scale HD genome-wide association study (GWAS; Ntotal = 501,825, 56% females) and GWAS data related to 3,935 brain imaging-derived phenotypes (IDPs) assessed in up to 33,224 individuals (52% females) using multiple magnetic resonance imaging modalities. To investigate HD pleiotropy with brain structure and function, we conducted genetic correlation, latent causal variable, Mendelian randomization, and multivariable generalized linear regression analyses. Additionally, we performed local genetic correlation and multi-trait colocalization analyses to identify genomic regions and loci implicated in the pleiotropic mechanisms shared between HD and brain IDPs. We observed a widespread genetic correlation of HD with 120 IDPs in females, 89 IDPs in males, and 171 IDPs in the sex-combined analysis. The latent causal variable analysis showed that some of these genetic correlations could be due to cause-effect relationships. For seven correlations, the causal effects were also confirmed by the Mendelian randomization

approach:

vessel volume→HD in the sex-combined analysis; hippocampus volume→HD, cerebellum grey matter volume→HD, primary visual cortex volume→HD, and HD→fluctuation amplitudes of node 46 in resting-state functional MRI dimensionality 100 in females; global mean thickness→HD and HD→mean orientation dispersion index in superior corona radiata in males. The local genetic correlation analysis identified 13 pleiotropic regions between HD and these seven IDPs. We also observed a colocalization signal for the rs13026575 variant between HD, primary visual cortex volume, and SPTBN1 transcriptomic regulation in females. Brain structure and function may have a role in the sex differences in HD predisposition via possible cause-effect relationships and shared regulatory mechanisms.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Brain Year: 2024 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Brain Year: 2024 Document type: Article Affiliation country: United States