{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,11]],"date-time":"2025-11-11T13:13:17Z","timestamp":1762866797377,"version":"build-2065373602"},"reference-count":40,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2016,2,1]],"date-time":"2016-02-01T00:00:00Z","timestamp":1454284800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["31271602"],"award-info":[{"award-number":["31271602"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJMS"],"abstract":"<jats:p>Ectopic pregnancy is a very dangerous complication of pregnancy, affecting 1%\u20132% of all reported pregnancies. Due to ethical constraints on human biopsies and the lack of suitable animal models, there has been little success in identifying functionally important genes in the pathogenesis of ectopic pregnancy. In the present study, we developed a random walk\u2013based computational method named TM-rank to prioritize ectopic pregnancy\u2013related genes based on text mining data and gene network information. Using a defined threshold value, we identified five top-ranked genes: VEGFA (vascular endothelial growth factor A), IL8 (interleukin 8), IL6 (interleukin 6), ESR1 (estrogen receptor 1) and EGFR (epidermal growth factor receptor). These genes are promising candidate genes that can serve as useful diagnostic biomarkers and therapeutic targets. Our approach represents a novel strategy for prioritizing disease susceptibility genes.<\/jats:p>","DOI":"10.3390\/ijms17020191","type":"journal-article","created":{"date-parts":[[2016,2,1]],"date-time":"2016-02-01T10:03:26Z","timestamp":1454321006000},"page":"191","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Prioritization of Susceptibility Genes for Ectopic Pregnancy by Gene Network Analysis"],"prefix":"10.3390","volume":"17","author":[{"given":"Ji-Long","family":"Liu","sequence":"first","affiliation":[{"name":"College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miao","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2016,2,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1097\/GRF.0b013e31802f4f79","article-title":"Ectopic pregnancy","volume":"50","author":"Walker","year":"2007","journal-title":"Clin. 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