Camargo A, Kim J T
School of Computing, University of East Anglia, Norwich, NR4 7TJ, England, UK.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:6963-8. doi: 10.1109/IEMBS.2009.5333879.
Cardiovascular disease is the second most prevalent cause of morbidity and mortality in women of developed countries. Although it is well established that gender is a risk factor for cardiovascular disease, most gene expression analysis studies favour the identification of disease bio-markers and potential drug targets over combined populations. This study integrates genomic and systems approaches to identify a female-related set of genes that intervene in signal and metabolic pathways leading to cardiovascular disease.
心血管疾病是发达国家女性发病和死亡的第二大常见原因。尽管性别是心血管疾病的一个危险因素已得到充分证实,但大多数基因表达分析研究更倾向于在混合人群中识别疾病生物标志物和潜在药物靶点。本研究整合了基因组学和系统方法,以识别一组与女性相关的基因,这些基因干预导致心血管疾病的信号和代谢途径。