当前位置: X-MOL 学术Database J. Biol. Databases Curation › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
PCaLiStDB: a lifestyle database for precision prevention of prostate cancer.
Database: The Journal of Biological Databases and Curation ( IF 3.4 ) Pub Date : 2020-01-16 , DOI: 10.1093/database/baz154
Yalan Chen 1, 2 , Xingyun Liu 1, 3 , Yijun Yu 2 , Chunjiang Yu 1, 4 , Lan Yang 1 , Yuxin Lin 1, 5 , Ting Xi 2 , Ziyun Ye 2 , Zhe Feng 2 , Bairong Shen 3
Affiliation  

The interaction between genes, lifestyles and environmental factors makes the genesis and progress of prostate cancer (PCa) very heterogeneous. Positive lifestyle is important to the prevention and controlling of PCa. To investigate the relationship between PCa and lifestyle at systems level, we established a PCa related lifestyle database (PCaLiStDB) and collected the PCa-related lifestyles including foods, nutrients, life habits and social and environmental factors as well as associated genes and physiological and biochemical indexes together with the disease phenotypes and drugs. Data format standardization was implemented for the future Lifestyle-Wide Association Studies of PCa (PCa_LWAS). Currently, 2290 single-factor lifestyles and 856 joint effects of two or more lifestyles were collected. Among these, 394 are protective factors, 556 are risk factors, 45 are no-influencing factors, 52 are factors with contradictory views and 1977 factors are lacking effective literatures support. PCaLiStDB is expected to facilitate the prevention and control of PCa, as well as the promotion of mechanistic study of lifestyles on PCa. Database URL: http://www.sysbio.org.cn/pcalistdb/.

中文翻译:


PCaLiStDB:精准预防前列腺癌的生活​​方式数据库。



基因、生活方式和环境因素之间的相互作用使得前列腺癌(PCa)的发生和进展具有很大的异质性。积极的生活方式对于前列腺癌的预防和控制具有重要意义。为了从系统层面研究PCa与生活方式的关系,我们建立了PCa相关生活方式数据库(PCaLiStDB),收集了PCa相关生活方式,包括食物、营养素、生活习惯和社会环境因素以及相关基因和生理生化指标。指数以及疾病表型和药物。数据格式标准化是为未来的 PCa 生活方式关联研究 (PCa_LWAS) 实施的。目前,收集了2290种单因素生活方式和856种两种或多种生活方式的联合影响。其中,保护因素394个,危险因素556个,无影响因素45个,观点相矛盾的因素52个,缺乏有效文献支持的因素1977个。 PCaLiStDB有望促进PCa的预防和控制,以及促进生活方式对PCa的机制研究。数据库网址:http://www.sysbio.org.cn/pcalistdb/。
更新日期:2020-04-17
down
wechat
bug