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Sieberts, Solveig K.;
Perumal, Thanneer M.;
Carrasquillo, Minerva M.;
Allen, Mariet;
Reddy, Joseph S.;
Hoffman, Gabriel E.;
Dang, Kristen K.;
Calley, John;
Ebert, Philip J.;
Eddy, James;
Wang, Xue;
Greenwood, Anna K.;
Mostafavi, Sara;
Akbarian, Schahram;
Bendl, Jaroslav;
Breen, Michael S.;
Brennand, Kristen;
Brown, Leanne;
Browne, Andrew;
Buxbaum, Joseph D.;
Charney, Alexander;
Chess, Andrew;
Couto, Lizette;
Crawford, Greg;
[...]
Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions
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- Medientyp: E-Artikel
- Titel: Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions
- Beteiligte: Sieberts, Solveig K.; Perumal, Thanneer M.; Carrasquillo, Minerva M.; Allen, Mariet; Reddy, Joseph S.; Hoffman, Gabriel E.; Dang, Kristen K.; Calley, John; Ebert, Philip J.; Eddy, James; Wang, Xue; Greenwood, Anna K.; Mostafavi, Sara; Akbarian, Schahram; Bendl, Jaroslav; Breen, Michael S.; Brennand, Kristen; Brown, Leanne; Browne, Andrew; Buxbaum, Joseph D.; Charney, Alexander; Chess, Andrew; Couto, Lizette; Crawford, Greg; [...]
- Erschienen: Springer Science and Business Media LLC, 2020
- Erschienen in: Scientific Data
- Sprache: Englisch
- DOI: 10.1038/s41597-020-00642-8
- ISSN: 2052-4463
- Entstehung:
- Anmerkungen:
- Beschreibung: <jats:title>Abstract</jats:title><jats:p>The availability of high-quality RNA-sequencing and genotyping data of post-mortem brain collections from consortia such as CommonMind Consortium (CMC) and the Accelerating Medicines Partnership for Alzheimer’s Disease (AMP-AD) Consortium enable the generation of a large-scale brain <jats:italic>cis-</jats:italic>eQTL meta-analysis. Here we generate cerebral cortical eQTL from 1433 samples available from four cohorts (identifying >4.1 million significant eQTL for >18,000 genes), as well as cerebellar eQTL from 261 samples (identifying 874,836 significant eQTL for >10,000 genes). We find substantially improved power in the meta-analysis over individual cohort analyses, particularly in comparison to the Genotype-Tissue Expression (GTEx) Project eQTL. Additionally, we observed differences in eQTL patterns between cerebral and cerebellar brain regions. We provide these brain eQTL as a resource for use by the research community. As a proof of principle for their utility, we apply a colocalization analysis to identify genes underlying the GWAS association peaks for schizophrenia and identify a potentially novel gene colocalization with lncRNA RP11-677M14.2 (posterior probability of colocalization 0.975).</jats:p>
- Zugangsstatus: Freier Zugang