{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T08:36:25Z","timestamp":1779266185745,"version":"3.51.4"},"reference-count":21,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2023,4,26]],"date-time":"2023-04-26T00:00:00Z","timestamp":1682467200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["R01HG012133"],"award-info":[{"award-number":["R01HG012133"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["R01GM140287"],"award-info":[{"award-number":["R01GM140287"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["R01CA258808"],"award-info":[{"award-number":["R01CA258808"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,5,4]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Summary<\/jats:title><jats:p>Genome-wide association studies (GWASs) have identified numerous genetic variants associated with complex disease risk; however, most of these associations are non-coding, complicating identifying their proximal target gene. Transcriptome-wide association studies (TWASs) have been proposed to mitigate this gap by integrating expression quantitative trait loci (eQTL) data with GWAS data. Numerous methodological advancements have been made for TWAS, yet each approach requires ad hoc simulations to demonstrate feasibility. Here, we present twas_sim, a computationally scalable and easily extendable tool for simplified performance evaluation and power analysis for TWAS methods.<\/jats:p><\/jats:sec><jats:sec><jats:title>Availability and implementation<\/jats:title><jats:p>Software and documentation are available at https:\/\/github.com\/mancusolab\/twas_sim.<\/jats:p><\/jats:sec>","DOI":"10.1093\/bioinformatics\/btad288","type":"journal-article","created":{"date-parts":[[2023,4,26]],"date-time":"2023-04-26T18:57:36Z","timestamp":1682535456000},"source":"Crossref","is-referenced-by-count":6,"title":["twas_sim, a Python-based tool for simulation and power analysis of transcriptome-wide association analysis"],"prefix":"10.1093","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9670-3939","authenticated-orcid":false,"given":"Xinran","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California , Los Angeles, CA 90033, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zeyun","family":"Lu","sequence":"additional","affiliation":[{"name":"Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California , Los Angeles, CA 90033, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arjun","family":"Bhattacharya","sequence":"additional","affiliation":[{"name":"Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles , Los Angeles, CA 90095, United States"},{"name":"Institute of Quantitative and Computational Biosciences, David Geffen School of Medicine, University of California, Los Angeles , Los Angeles, CA 90095, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bogdan","family":"Pasaniuc","sequence":"additional","affiliation":[{"name":"Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles , Los Angeles, CA 90095, United States"},{"name":"Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles , Los Angeles, CA 90095, United States"},{"name":"Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles , Los Angeles, CA 90095, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9352-5927","authenticated-orcid":false,"given":"Nicholas","family":"Mancuso","sequence":"additional","affiliation":[{"name":"Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California , Los Angeles, CA 90033, United States"},{"name":"Department of Quantitative and Computational Biology, University of Southern California , Los Angeles, CA 90097, United 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