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A Drosophila functional evaluation of candidates from human genome-wide association studies of type?2?diabetes and related metabolic traits identifies tissue-specific roles for dHHEX

机译:果蝇对人类2型糖尿病及其相关代谢性状的全基因组关联研究对候选人的果蝇功能评估确定了dHHEX的组织特异性作用

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Background Genome-wide association studies (GWAS) identify regions of the genome that are associated with particular traits, but do not typically identify specific causative genetic elements. For example, while a large number of single nucleotide polymorphisms associated with type?2?diabetes (T2D) and related traits have been identified by human GWAS, only a few genes have functional evidence to support or to rule out a role in cellular metabolism or dietary interactions. Here, we use a recently developed Drosophila model in which high-sucrose feeding induces phenotypes similar to T2D to assess orthologs of human GWAS-identified candidate genes for risk of T2D and related traits. Results Disrupting orthologs of certain T2D candidate genes (HHEX, THADA, PPARG, KCNJ11) led to sucrose-dependent toxicity. Tissue-specific knockdown of the HHEX ortholog dHHEX (CG7056) directed metabolic defects and enhanced lethality; for example, fat-body-specific loss of dHHEX led to increased hemolymph glucose and reduced insulin sensitivity. Conclusion Candidate genes identified in human genetic studies of metabolic traits can be prioritized and functionally characterized using a simple Drosophila approach. To our knowledge, this is the first large-scale effort to study the functional interaction between GWAS-identified candidate genes and an environmental risk factor such as diet in a model organism system.
机译:背景全基因组关联研究(GWAS)可以识别基因组中与特定性状相关的区域,但通常不识别特定的致病性遗传元件。例如,尽管人类GWAS已鉴定出与2型糖尿病(T2D)和相关性状相关的大量单核苷酸多态性,但只有少数基因具有功能性证据来支持或排除其在细胞代谢或饮食相互作用。在这里,我们使用最近开发的果蝇模型,其中高蔗糖喂养诱导类似于T2D的表型来评估人类GWAS鉴定的候选基因的直系同源基因,以了解T2D和相关性状的风险。结果破坏某些T2D候选基因(HHEX,THADA,PPARG,KCNJ11)的直系同源物导致蔗糖依赖性毒性。 HHEX直系同源物dHHEX(CG7056)的组织特异性敲除可指导代谢缺陷和增强的致死性;例如,特定于脂肪体的dHHEX丧失导致血淋巴葡萄糖增加和胰岛素敏感性降低。结论可以使用简单的果蝇方法对人类代谢性状遗传研究中鉴定的候选基因进行优先排序和功能表征。据我们所知,这是首次大规模研究在模型生物系统中研究GWAS识别的候选基因与环境风险因素(如饮食)之间的功能相互作用。

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