Detecting novel genes for low-density lipoprotein cholesterol in European population using bioinformatics analysis.
Detecting novel genes for low-density lipoprotein cholesterol in European population using bioinformatics analysis.
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DOI：
10.2217/pme.16.1
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发表时间：
2016-04
影响因子：
2.3
通讯作者：
Huan Zhang;X. Mo;Tan Xu;S. Lei;Yonghong Zhang
中科院分区：
文献类型：
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作者：
Huan Zhang;X. Mo;Tan Xu;S. Lei;Yonghong Zhang
目的寻找低密度脂蛋白胆固醇相关基因，并评价其功能相关性，为进一步筛选低密度脂蛋白相关基因提供依据。材料与方法我们对约188,578名个体进行了一项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。结果经Bonferroni校正后，共有292个基因表达显著(p<；2.3×10-6)。在这些基因中，59个似乎与冠状动脉疾病(CAD)有关。结论LDLR、ABCG5、ABCG8、APOB、HNF1A、PTPN11、APOA5和MCM6等基因在冠心病发病中具有重要作用。这一发现可能会为脂代谢和冠心病的遗传基础提供更多的见解。
AIM The aim of this study was to identify related genes for low-density lipoprotein cholesterol and evaluate the functional relevance to provide evidences for prioritizing these genes. MATERIALS & METHODS We performed a gene-based association study in about 188,578 individuals. Furthermore, we performed bioinformatics analyses to support the identified genes. RESULTS A total of 292 genes were found to be significant after Bonferroni correction (p < 2.3 × 10-6). Among these genes, 59 seemed to be associated with coronary artery disease (CAD). CONCLUSION The evidence obtained from the analyses of this study signified the importance of many genes, for example, LDLR, ABCG5, ABCG8, APOB, HNF1A, PTPN11, APOA5 and MCM6, which were also associated with CAD. The findings might provide more insights into the genetic basis of lipid metabolism and CAD.