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Multi-scale analysis of schizophrenia risk genes, brain structure, and clinical symptoms reveals integrative clues for subtyping schizophrenia patients
Analysis linking directly genomics, neuroimaging phenotypes and clinical measurements is crucial for understanding psychiatric disorders, but remains rare. Here, we describe a multi-scale analysis using genome-wide SNPs, gene expression, grey matter volume (GMV), and the positive and negative syndro...
Autores principales: | Ma, Liang, Rolls, Edmund T, Liu, Xiuqin, Liu, Yuting, Jiao, Zeyu, Wang, Yue, Gong, Weikang, Ma, Zhiming, Gong, Fuzhou, Wan, Lin |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6788727/ https://www.ncbi.nlm.nih.gov/pubmed/30508120 http://dx.doi.org/10.1093/jmcb/mjy071 |
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