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The Genetic Architecture of Amygdala Nuclei.

Journal articles  - Journal Article
Mufford, MS; van der Meer, D; Kaufmann, T; Frei, O; Ramesar, R; Thompson, PM; Jahanshad, N; Morey, RA; Andreassen, OA; Stein, DJ; Dalvie, S
Published in: Biol Psychiatry
January 1, 2024

BACKGROUND: Whereas genetic variants influencing total amygdala volume have been identified, the genetic architecture of its distinct nuclei has yet to be explored. We aimed to investigate whether increased phenotypic specificity through nuclei segmentation aids genetic discoverability and elucidates the extent of shared genetic architecture and biological pathways with related disorders. METHODS: T1-weighted brain magnetic resonance imaging scans (N = 36,352, 52% female) from the UK Biobank were segmented into 9 amygdala nuclei with FreeSurfer (version 6.1). Genome-wide association analyses were performed on the entire sample, a European-only subset (n = 31,690), and a generalization (transancestry) subset (n = 4662). We estimated single nucleotide polymorphism-based heritability; derived polygenicity, discoverability, and power estimates; and investigated genetic correlations and shared loci with psychiatric disorders. RESULTS: The heritability of the nuclei ranged from 0.17 to 0.33. Across the whole amygdala and the nuclei volumes, we identified 28 novel genome-wide significant (padj < 5 × 10-9) loci in the European analysis, with significant en masse replication for the whole amygdala and central nucleus volumes in the generalization analysis, and we identified 10 additional candidate loci in the combined analysis. The central nucleus had the highest statistical power for discovery. The significantly associated genes and pathways showed unique and shared effects across the nuclei, including immune-related pathways. Shared variants were identified between specific nuclei and autism spectrum disorder, Alzheimer's disease, Parkinson's disease, bipolar disorder, and schizophrenia. CONCLUSIONS: Through investigation of amygdala nuclei volumes, we have identified novel candidate loci in the neurobiology of amygdala volume. These nuclei volumes have unique associations with biological pathways and genetic overlap with psychiatric disorders.

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Published In

Biol Psychiatry

DOI

EISSN

1873-2402

Publication Date

January 1, 2024

Volume

95

Issue

1

Start / End Page

72 / 84

Location

United States

Related Subject Headings

  • Psychiatry
  • Polymorphism, Single Nucleotide
  • Male
  • Humans
  • Genome-Wide Association Study
  • Genetic Predisposition to Disease
  • Genetic Loci
  • Female
  • Brain
  • Bipolar Disorder
 

Citation

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Mufford, M. S., van der Meer, D., Kaufmann, T., Frei, O., Ramesar, R., Thompson, P. M., … Dalvie, S. (2024). The Genetic Architecture of Amygdala Nuclei. Biol Psychiatry, 95(1), 72–84. https://doi.org/10.1016/j.biopsych.2023.06.022
Mufford, Mary S., Dennis van der Meer, Tobias Kaufmann, Oleksandr Frei, Raj Ramesar, Paul M. Thompson, Neda Jahanshad, et al. “The Genetic Architecture of Amygdala Nuclei.” Biol Psychiatry 95, no. 1 (January 1, 2024): 72–84. https://doi.org/10.1016/j.biopsych.2023.06.022.
Mufford MS, van der Meer D, Kaufmann T, Frei O, Ramesar R, Thompson PM, et al. The Genetic Architecture of Amygdala Nuclei. Biol Psychiatry. 2024 Jan 1;95(1):72–84.
Mufford, Mary S., et al. “The Genetic Architecture of Amygdala Nuclei.” Biol Psychiatry, vol. 95, no. 1, Jan. 2024, pp. 72–84. Pubmed, doi:10.1016/j.biopsych.2023.06.022.
Mufford MS, van der Meer D, Kaufmann T, Frei O, Ramesar R, Thompson PM, Jahanshad N, Morey RA, Andreassen OA, Stein DJ, Dalvie S. The Genetic Architecture of Amygdala Nuclei. Biol Psychiatry. 2024 Jan 1;95(1):72–84.
Journal cover image

Published In

Biol Psychiatry

DOI

EISSN

1873-2402

Publication Date

January 1, 2024

Volume

95

Issue

1

Start / End Page

72 / 84

Location

United States

Related Subject Headings

  • Psychiatry
  • Polymorphism, Single Nucleotide
  • Male
  • Humans
  • Genome-Wide Association Study
  • Genetic Predisposition to Disease
  • Genetic Loci
  • Female
  • Brain
  • Bipolar Disorder