Significantly fewer protein functional changing variants for lipid metabolism in Africans than in Europeans.
Significantly fewer protein functional changing variants for lipid metabolism in Africans than in Europeans.
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DOI：
10.1186/1479-5876-11-67
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发表时间：
2013-03-20
影响因子：
7.4
通讯作者：
Fu YX
中科院分区：
文献类型：
--
作者：
Xue C;Liu X;Gong Y;Zhao Y;Fu YX
能量物质代谢紊乱通常与肥胖、糖尿病、癌症等疾病有关，但其遗传背景尚不清楚。在这项研究中，我们探讨了人类群体中能量物质（包括脂质、碳水化合物和氨基酸）代谢（代谢和生物合成）的遗传风险差异。两个基因型数据集（Hapmap和1000 Genome）用于本研究。采用蛋白质功能改变变异体（Protein Functional Changing Variants，PFCVs）的总数量（PGEV）和PFCVs的可能危害性总评分（R）两个遗传风险指标，计算PFCVs对脂类、碳水化合物和氨基酸代谢相关基因的遗传风险。这两个基因型数据集的观察一致表明，与欧洲人相比，非洲人在脂质代谢（分解代谢和生物合成过程）方面的遗传风险较低。然而，在碳水化合物和氨基酸代谢中没有观察到这种关系。我们的研究结果表明，非洲人比欧洲人有更高的效率利用脂质作为能源物质。换句话说，非洲人可能比欧洲人更喜欢脂质作为能量物质。
The disorders in metabolism of energy substances are usually related to some diseases, such as obesity, diabetes and cancer, etc. However, the genetic background for these disorders has not been well understood. In this study, we explored the genetic risk differences among human populations in metabolism (catabolism and biosynthesis) of energy substances, including lipids, carbohydrates and amino acids. Two genotype datasets (Hapmap and 1000 Genome) were used for this study. The genetic risks of protein functional changing variants (PFCVs) on genes involved in lipid, carbohydrate and amino acid metabolism were calculated using two genetic risk indices: the total number of PFCVs (Num) and the total possibly harmful score of PFCVs (R). Observations in these two genotype datasets consistently showed that Africans had lower genetic risk in lipid metabolism (both catabolic and biosynthetic processes) compared to Europeans. However this relationship was not observed in carbohydrate and amino acid metabolism. Our results suggested that Africans had higher efficiency of utilizing lipids as energy substances than Europeans. In other words, lipids might be more preferred as energy substances in Africans than in Europeans.
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分解代谢过程中较小的遗传风险解释了较低的能量消耗，更多的运动能力和肥胖症患病率较高。
影响因子：
3.7
作者：
Xue C;Fu YX;Zhao Y;Gong Y;Liu X
通讯作者：
Liu X
影响因子：
37.8
作者：
SRINIVASAN, SR;DAHLEN, GH;BERENSON, GS
通讯作者：
BERENSON, GS
影响因子：
3.3
作者：
Xue, Cheng;Huang, Ren;Fu, Yun-Xin
通讯作者：
Fu, Yun-Xin
影响因子：
5.8
作者：
Weiss, Ram
通讯作者：
Weiss, Ram
影响因子：
64.8
作者：
Lohmueller, Kirk E.;Indap, Amit R.;Bustamante, Carlos D.
通讯作者：
Bustamante, Carlos D.