Identification of important genes associated with total cholesterol using bioinformatics analysis.
Identification of important genes associated with total cholesterol using bioinformatics analysis.
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DOI：
10.2217/pgs.15.164
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发表时间：
2016-01
期刊：
影响因子：
2.1
通讯作者：
X. Mo;Huan Zhang;Tan Xu;S. Lei;Yonghong Zhang
中科院分区：
文献类型：
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作者：
X. Mo;Huan Zhang;Tan Xu;S. Lei;Yonghong Zhang
目的寻找与总胆固醇(TC)相关的基因，并评价其功能相关性，为进一步筛选这些基因提供依据。材料与方法我们对约188,578名个体进行了初步的基于基因的关联研究。此外，我们还进行了生物信息学分析以支持已识别的基因。结果在基于基因的关联分析中，共分析了22,098个基因的TC水平，经Bonferroni校正(p<；2.3×10(-6))后，其中433个基因的TC水平显著。结论NR1I2、STARD3、FN1等多个已知基因和一些新基因的重要性。这一发现可能会为脂类代谢的遗传基础提供更多的见解。
AIM The aim of this study was to identify related genes for total cholesterol (TC) and evaluate the functional relevance to provide evidences for prioritizing these genes. MATERIALS & METHODS We performed an initial gene-based association study in about 188,578 individuals. Furthermore, we performed bioinformatics analyses to support the identified genes. RESULTS A total of 22,098 genes were analyzed for TC levels in gene-based association analysis and 433 of them were found to be significant after Bonferroni correction (p < 2.3 × 10(-6)). CONCLUSION The evidence obtained from the analyses of this study signified the importance of many known genes as well as some novel genes, for example, NR1I2, STARD3 and FN1. The findings might provide more insights into the genetic basis of lipid metabolism.