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1.
Science ; 384(6698): eadh0829, 2024 May 24.
Artículo en Inglés | MEDLINE | ID: mdl-38781368

RESUMEN

Neuropsychiatric genome-wide association studies (GWASs), including those for autism spectrum disorder and schizophrenia, show strong enrichment for regulatory elements in the developing brain. However, prioritizing risk genes and mechanisms is challenging without a unified regulatory atlas. Across 672 diverse developing human brains, we identified 15,752 genes harboring gene, isoform, and/or splicing quantitative trait loci, mapping 3739 to cellular contexts. Gene expression heritability drops during development, likely reflecting both increasing cellular heterogeneity and the intrinsic properties of neuronal maturation. Isoform-level regulation, particularly in the second trimester, mediated the largest proportion of GWAS heritability. Through colocalization, we prioritized mechanisms for about 60% of GWAS loci across five disorders, exceeding adult brain findings. Finally, we contextualized results within gene and isoform coexpression networks, revealing the comprehensive landscape of transcriptome regulation in development and disease.


Asunto(s)
Empalme Alternativo , Encéfalo , Regulación del Desarrollo de la Expresión Génica , Trastornos Mentales , Humanos , Atlas como Asunto , Trastorno del Espectro Autista/genética , Encéfalo/metabolismo , Encéfalo/crecimiento & desarrollo , Encéfalo/embriología , Redes Reguladoras de Genes , Estudio de Asociación del Genoma Completo , Isoformas de Proteínas/genética , Isoformas de Proteínas/metabolismo , Sitios de Carácter Cuantitativo , Esquizofrenia/genética , Transcriptoma , Trastornos Mentales/genética
2.
Sci Adv ; 10(21): eadj4452, 2024 May 24.
Artículo en Inglés | MEDLINE | ID: mdl-38781344

RESUMEN

Most genetic variants associated with psychiatric disorders are located in noncoding regions of the genome. To investigate their functional implications, we integrate epigenetic data from the PsychENCODE Consortium and other published sources to construct a comprehensive atlas of candidate brain cis-regulatory elements. Using deep learning, we model these elements' sequence syntax and predict how binding sites for lineage-specific transcription factors contribute to cell type-specific gene regulation in various types of glia and neurons. The elements' evolutionary history suggests that new regulatory information in the brain emerges primarily via smaller sequence mutations within conserved mammalian elements rather than entirely new human- or primate-specific sequences. However, primate-specific candidate elements, particularly those active during fetal brain development and in excitatory neurons and astrocytes, are implicated in the heritability of brain-related human traits. Additionally, we introduce PsychSCREEN, a web-based platform offering interactive visualization of PsychENCODE-generated genetic and epigenetic data from diverse brain cell types in individuals with psychiatric disorders and healthy controls.


Asunto(s)
Encéfalo , Epigénesis Genética , Secuencias Reguladoras de Ácidos Nucleicos , Humanos , Encéfalo/metabolismo , Secuencias Reguladoras de Ácidos Nucleicos/genética , Animales , Evolución Molecular , Trastornos Mentales/genética , Elementos Reguladores de la Transcripción/genética , Neuronas/metabolismo , Regulación de la Expresión Génica , Factores de Transcripción/genética , Factores de Transcripción/metabolismo
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