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自噬调控通路可能影响中国人的身高差异:老年人的证据。

The regulation-of-autophagy pathway may influence Chinese stature variation: evidence from elder adults.

机构信息

The Key Laboratory of Biomedical Information Engineering of Ministry of Education, and Institute of Molecular Genetics, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.

出版信息

J Hum Genet. 2010 Jul;55(7):441-7. doi: 10.1038/jhg.2010.44. Epub 2010 May 7.

Abstract

Recent success of genome-wide association studies (GWASs) on human height variation emphasized the effects of individual loci or genes. In this study, we used a developed pathway-based approach to further test biological pathways for potential association with stature, by examining approximately 370,000 single-nucleotide polymorphisms (SNPs) across the human genome in 618 unrelated elder Han Chinese. A total of 626 biological pathways annotated by any of the three major public pathway databases (KEGG, BioCarta and Ambion GeneAssist Pathway Atlas) were tested. The regulation-of-autophagy (ROA) (nominal P=0.012) pathway was marginally significantly associated with human stature after our family wise error rate multiple-testing correction. We also used 1000 random recruited US whites for further replication. Interestingly, the ROA pathway presented the strongest signals in whites for height variation (nominal P=0.002). The results correspond to biological roles of the ROA pathway in human long bone development and growth. Our findings also implied that multiple-genetic factors may work jointly as a functional unit (pathway), and the traditional GWASs could have missed important genetic information imbedded in those less significant markers.

摘要

最近全基因组关联研究(GWAS)在人类身高变异方面取得的成功强调了个体基因座或基因的作用。在这项研究中,我们使用了一种已开发的基于途径的方法,通过检查 618 名无血缘关系的汉族老年人全基因组中约 370,000 个单核苷酸多态性(SNP),进一步测试与身高相关的潜在生物学途径。共测试了三个主要公共途径数据库(KEGG、BioCarta 和 Ambion GeneAssist 途径图谱)中的任何一个注释的 626 个生物学途径。经过我们的全基因组错误率多重检验校正,自噬调控(ROA)途径(名义 P=0.012)与人类身高呈边缘显著相关。我们还使用了 1000 名随机招募的美国白人进行进一步验证。有趣的是,ROA 途径在白人身高变异方面表现出最强的信号(名义 P=0.002)。这些结果与 ROA 途径在人类长骨发育和生长中的生物学作用相对应。我们的研究结果还表明,多个遗传因素可能作为一个功能单元(途径)共同作用,而传统的 GWAS 可能错过了那些不太显著的标记中嵌入的重要遗传信息。

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