{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T02:15:52Z","timestamp":1761704152511,"version":"build-2065373602"},"reference-count":29,"publisher":"Institution of Engineering and Technology (IET)","issue":"3","license":[{"start":{"date-parts":[[2018,3,5]],"date-time":"2018-03-05T00:00:00Z","timestamp":1520208000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IET Systems Biology"],"published-print":{"date-parts":[[2018,6]]},"abstract":"<jats:p>In recent years, numerous studies reported over a hundred of genes playing roles in the etiology of postmenopausal osteoporosis (PO). However, many of these candidate genes were lack of replication and results were not always consistent. Here, the authors proposed a computational workflow to curate and evaluate PO related genes. They integrate large\u2010scale literature knowledge data and gene expression data (PO case\/control: 10\/10) for the marker evaluation. Pathway enrichment, sub\u2010network enrichment, and gene\u2013gene interaction analysis were conducted to study the pathogenic profile of the candidate genes, with four metrics proposed and validated for each gene. By using the authors' approach, a scalable PO genetic database was developed; including PO related genes, diseases, pathways, and the supporting references. The PO case\/control classification supported the effectiveness of the four proposed metrics, which successfully identified eight well\u2010studied top PO genes (e.g. TGFB1, IL6, IL1B, TNF, ESR2, IGF1, HIF1A, and COL1A1) and highlighted one recently reported PO genes (e.g. IFNG). The computational biology approach and the PO database developed in this study provide a valuable resource which may facilitate understanding the genetic profile of PO.<\/jats:p>","DOI":"10.1049\/iet-syb.2017.0043","type":"journal-article","created":{"date-parts":[[2018,2,1]],"date-time":"2018-02-01T21:25:09Z","timestamp":1517520309000},"page":"118-122","source":"Crossref","is-referenced-by-count":2,"title":["Integrative computational approach to evaluate risk genes for postmenopausal osteoporosis"],"prefix":"10.1049","volume":"12","author":[{"given":"Yingjun","family":"Sheng","sequence":"first","affiliation":[{"name":"Department of Orthopedics Tongling People's Hospital Tongling Anhui Province 244000 People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jilei","family":"Tang","sequence":"additional","affiliation":[{"name":"Department of Orthopedics Qidong People's Hospital Nantong 226200 People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kewei","family":"Ren","sequence":"additional","affiliation":[{"name":"Department of Orthopedics The Affiliated Jiangyin Hospital of Southeast University Medical School Jiangyin 214400 People's Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lydia C.","family":"Manor","sequence":"additional","affiliation":[{"name":"Division of Pediatric Surgery Children's National Health Systems Washington DC 20010 USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongbao","family":"Cao","sequence":"additional","affiliation":[{"name":"Department of Biology Product Elsevier Inc Rockville MD 20852 USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"265","published-online":{"date-parts":[[2018,3,5]]},"reference":[{"key":"e_1_2_7_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00774-009-0041-2"},{"key":"e_1_2_7_3_2","doi-asserted-by":"publisher","DOI":"10.1590\/S0004-27302006000400016"},{"key":"e_1_2_7_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0899-9007(01)00719-5"},{"key":"e_1_2_7_5_2","doi-asserted-by":"publisher","DOI":"10.1074\/jbc.271.46.28890"},{"key":"e_1_2_7_6_2","doi-asserted-by":"publisher","DOI":"10.1038\/sj.bmt.1704535"},{"key":"e_1_2_7_7_2","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btg452"},{"key":"e_1_2_7_8_2","doi-asserted-by":"publisher","DOI":"10.4161\/auto.28773"},{"key":"e_1_2_7_9_2","doi-asserted-by":"publisher","DOI":"10.1142\/S0219720007002795"},{"key":"e_1_2_7_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/0378-8733(78)90021-7"},{"key":"e_1_2_7_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2015.03.017"},{"key":"e_1_2_7_12_2","doi-asserted-by":"publisher","DOI":"10.1038\/bonekey.2012.102"},{"key":"e_1_2_7_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1359-6101(02)00027-8"},{"key":"e_1_2_7_14_2","doi-asserted-by":"publisher","DOI":"10.1002\/jbmr.5650110802"},{"key":"e_1_2_7_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbrc.2005.05.092"},{"key":"e_1_2_7_16_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0116792"},{"key":"e_1_2_7_17_2","doi-asserted-by":"publisher","DOI":"10.1172\/JCI200317261"},{"key":"e_1_2_7_18_2","doi-asserted-by":"publisher","DOI":"10.1038\/nm.1954"},{"key":"e_1_2_7_19_2","doi-asserted-by":"publisher","DOI":"10.4103\/0971-5916.182618"},{"key":"e_1_2_7_20_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00198-009-1018-7"},{"key":"e_1_2_7_21_2","doi-asserted-by":"publisher","DOI":"10.1210\/jc.2006-0572"},{"issue":"11","key":"e_1_2_7_22_2","first-page":"1027","article-title":"Obesity as a protective factor for postmenopausal osteoporosis","volume":"20","author":"Albala C.","year":"1996","journal-title":"Int. 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