Principal and independent genomic components of brain structure and function.
GWAS
MELODIC
MRI
genomic ICA
genomic PCA
genomics
neuroimaging genetics
quantitative genetics
statistical genetics
Journal
Genes, brain, and behavior
ISSN: 1601-183X
Titre abrégé: Genes Brain Behav
Pays: England
ID NLM: 101129617
Informations de publication
Date de publication:
15 Jan 2024
15 Jan 2024
Historique:
revised:
17
11
2023
received:
11
08
2023
accepted:
23
11
2023
medline:
16
1
2024
pubmed:
16
1
2024
entrez:
16
1
2024
Statut:
aheadofprint
Résumé
The highly polygenic and pleiotropic nature of behavioural traits, psychiatric disorders and structural and functional brain phenotypes complicate mechanistic interpretation of related genome-wide association study (GWAS) signals, thereby obscuring underlying causal biological processes. We propose genomic principal and independent component analysis (PCA, ICA) to decompose a large set of univariate GWAS statistics of multimodal brain traits into more interpretable latent genomic components. Here we introduce and evaluate this novel methods various analytic parameters and reproducibility across independent samples. Two UK Biobank GWAS summary statistic releases of 2240 imaging-derived phenotypes (IDPs) were retrieved. Genome-wide beta-values and their corresponding standard-error scaled z-values were decomposed using genomic PCA/ICA. We evaluated variance explained at multiple dimensions up to 200. We tested the inter-sample reproducibility of output of dimensions 5, 10, 25 and 50. Reproducibility statistics of the respective univariate GWAS served as benchmarks. Reproducibility of 10-dimensional PCs and ICs showed the best trade-off between model complexity and robustness and variance explained (PCs: |r
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e12876Subventions
Organisme : Wellcome Trust
ID : 215573/Z/19/Z
Pays : United Kingdom
Informations de copyright
© 2023 The Authors. Genes, Brain and Behavior published by International Behavioural and Neural Genetics Society and John Wiley & Sons Ltd.
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