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- W2280958045 abstract "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." @default.
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- W2280958045 date "2016-02-01" @default.
- W2280958045 modified "2023-09-26" @default.
- W2280958045 title "Identification of important genes associated with total cholesterol using bioinformatics analysis" @default.
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- W2280958045 doi "https://doi.org/10.2217/pgs.15.164" @default.
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