Brain expression quantitative trait locus and network analyses reveal downstream effects and putative drivers for brain-related diseases

Identification of therapeutic targets from genome-wide association studies (GWAS) requires insights into downstream functional consequences. We harmonized 8,613 RNA-sequencing samples from 14 brain datasets to create the MetaBrain resource and performed cis - and trans -expression quantitative trait...

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Veröffentlicht in:	Nature genetics 2023-03, Vol.55 (3), p.377-388
Hauptverfasser:	de Klein, Niek, Tsai, Ellen A., Vochteloo, Martijn, Baird, Denis, Huang, Yunfeng, Chen, Chia-Yen, van Dam, Sipko, Oelen, Roy, Deelen, Patrick, Bakker, Olivier B., El Garwany, Omar, Ouyang, Zhengyu, Marshall, Eric E., Zavodszky, Maria I., van Rheenen, Wouter, Bakker, Mark K., Veldink, Jan, Gaunt, Tom R., Runz, Heiko, Franke, Lude, Westra, Harm-Jan
Format:	Artikel
Sprache:	eng
Schlagworte:	38/39 38/91 631/208/199 631/208/200 631/208/212/2019 Agreements Agriculture Animal Genetics and Genomics Biomedical and Life Sciences Biomedicine Brain Brain Diseases - genetics Cancer Research Central nervous system Central nervous system diseases Datasets Disease Gene Function Gene mapping Gene Regulatory Networks - genetics Gene sequencing Genes Genome-wide association studies Genome-Wide Association Study Genomes Human Genetics Humans Hypothalamus Localization Multiple sclerosis Nervous system Neurological disorders Phenotype Polymorphism, Single Nucleotide - genetics Quantitative trait loci Quantitative Trait Loci - genetics Sample size Spinal cord Target recognition
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