{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T00:45:27Z","timestamp":1740185127204,"version":"3.37.3"},"reference-count":15,"publisher":"Oxford University Press (OUP)","issue":"10","license":[{"start":{"date-parts":[[2017,12,29]],"date-time":"2017-12-29T00:00:00Z","timestamp":1514505600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/about_us\/legal\/notices"}],"funder":[{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["R01 HG008153"],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000051","name":"National Human Genome Research Institute","doi-asserted-by":"publisher","award":["R01 AG057909"],"id":[{"id":"10.13039\/100000051","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["U01 MH101720"],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,5,15]]},"abstract":"Abstract<\/jats:title>\n \n Summary<\/jats:title>\n Although the genome-wide association study (GWAS) is a powerful method to identify disease-associated variants, it does not directly address the biological mechanisms underlying such genetic association signals. Here, we present PGA, a Perl- and Java-based program for post-GWAS analysis that predicts likely disease genes given a list of GWAS-reported variants. Designed with a command line interface, PGA incorporates genomic and eQTL data in identifying disease gene candidates and uses gene network and ontology data to score them based upon the strength of their relationship to the disease in question.<\/jats:p>\n <\/jats:sec>\n \n Availability and implementation<\/jats:title>\n http:\/\/zdzlab.einstein.yu.edu\/1\/pga.html<\/jats:p>\n <\/jats:sec>\n \n Supplementary information<\/jats:title>\n Supplementary data are available at Bioinformatics online.<\/jats:p>\n <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btx845","type":"journal-article","created":{"date-parts":[[2017,12,29]],"date-time":"2017-12-29T04:12:29Z","timestamp":1514520749000},"page":"1786-1788","source":"Crossref","is-referenced-by-count":4,"title":["PGA: post-GWAS analysis for disease gene identification"],"prefix":"10.1093","volume":"34","author":[{"given":"Jhih-Rong","family":"Lin","sequence":"first","affiliation":[{"name":"Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA"}]},{"given":"Daniel","family":"Jaroslawicz","sequence":"additional","affiliation":[{"name":"Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA"}]},{"given":"Ying","family":"Cai","sequence":"additional","affiliation":[{"name":"Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA"}]},{"given":"Quanwei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA"}]},{"given":"Zhen","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA"}]},{"given":"Zhengdong D","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA"}]}],"member":"286","published-online":{"date-parts":[[2017,12,29]]},"reference":[{"key":"2023012713524941100_btx845-B1","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1038\/nature12787","article-title":"An atlas of active enhancers across human cell types and tissues","volume":"507","author":"Andersson","year":"2014","journal-title":"Nature"},{"key":"2023012713524941100_btx845-B2","doi-asserted-by":"crossref","first-page":"3460","DOI":"10.1093\/hmg\/ddt201","article-title":"APP\/PS1 mice overexpressing SREBP-2 exhibit combined Abeta accumulation and tau pathology underlying Alzheimer\u2019s disease","volume":"22","author":"Barbero-Camps","year":"2013","journal-title":"Human Mol. 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