DOI: 10.1038/s41588-019-0364-4 year: 2019 study: CMC title: Gene expression imputation across multiple brain regions provides insights into schizophrenia risk. grants: U01MH116442 R01MH110921 R01MH109677 authors: Huckins LM, Dobbyn A, Ruderfer DM, Hoffman G, Wang W, Pardiñas AF, Rajagopal VM, Als TD, T Nguyen H, Girdhar K, Boocock J, Roussos P, Fromer M, Kramer R, Domenici E, Gamazon ER, Purcell S, Demontis D, Børglum AD, Walters JTR, O'Donovan MC, Sullivan P, Owen MJ, Devlin B, Sieberts SK, Cox NJ, Im HK, Sklar P, Stahl EA journal: Nature genetics abstract: Transcriptomic imputation approaches combine eQTL reference panels with large-scale genotype data in order to test associations between disease and gene expression. These genic associations could elucidate signals in complex genome-wide association study (GWAS) loci and may disentangle the role of different tissues in disease development. We used the largest eQTL reference panel for the dorso-lateral prefrontal cortex (DLPFC) to create a set of gene expression predictors and demonstrate their ut pubmedId: 30911161 entity_name: Huckins Nature genetics 2019 (Pubmed ID 30911161)
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