These findings support comprehensive detection of structural and sequence variants while highlighting the need for segregation, functional, and replication evidence to distinguish causal DI from modifier effects or coincidental variant co-occurrence.
V. Flores-Ocampo, G. Sevilla-Parra, Fang-Yuan Cao et al.· Frontiers in Aging Neuroscie...· 0 citations
Suicidal thoughts and behaviors are a persistent public health challenge. Twin studies and genome-wide association studies (GWAS) have revealed moderate genetic influences. In exploratory analyses, we evaluated whether the impact of polygenic risk scores (PRSs) for suicide ideation (SI-PRS) and attempt (SA-PRS) varied...
Nathan A. Gillespie, Séverine Lannoy, Mallory Stephenson et al.· Research Square· 0 citations
The findings suggest that genetic influences on brain morphology are expressed across multiple spatial scales, with consequences that may help to guide the design of deep learning methods to discover genomic loci associated with brain structure and brain diseases.
Emma J Gleave, Luis M. García-Marín, Z. Ceja et al.· bioRxiv· 0 citations
Brain-wide maps of polygenic scores (PGS) from loci associated with ten brain volume regions of interest reveal patterns consistent with both localized and distributed genetic influences, offering a novel approach to interpret the genomic architecture of brain structure.
Emma J Gleave, L. García-Marín, Z. Ceja et al.· bioRxiv· 0 citations
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