DOI: 10.1016/j.ajhg.2018.04.011 year: 2018 study: CMC title: Landscape of Conditional eQTL in Dorsolateral Prefrontal Cortex and Co-localization with Schizophrenia GWAS. grants: U01MH116442 R01MH110921 R01MH109677 authors: Dobbyn A, Huckins LM, Boocock J, Sloofman LG, Glicksberg BS, Giambartolomei C, Hoffman GE, Perumal TM, Girdhar K, Jiang Y, Raj T, Ruderfer DM, Kramer RS, Pinto D, Akbarian S, Roussos P, Domenici E, Devlin B, Sklar P, Stahl EA, Sieberts SK journal: American journal of human genetics abstract: Causal genes and variants within genome-wide association study (GWAS) loci can be identified by integrating GWAS statistics with expression quantitative trait loci (eQTL) and determining which variants underlie both GWAS and eQTL signals. Most analyses, however, consider only the marginal eQTL signal, rather than dissect this signal into multiple conditionally independent signals for each gene. Here we show that analyzing conditional eQTL signatures, which could be important under specific cellu pubmedId: 29805045 entity_name: Dobbyn American journal of human genetics 2018 (Pubmed ID 29805045)
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