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对孟德尔疾病遗传模式的系统性大规模研究为人类疾病组提供了新的见解。

Systematic large-scale study of the inheritance mode of Mendelian disorders provides new insight into human diseasome.

作者信息

Hao Dapeng, Wang Guangyu, Yin Zuojing, Li Chuanxing, Cui Yan, Zhou Meng

机构信息

College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.

Department of Gastrointestinal Medical Oncology, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, China.

出版信息

Eur J Hum Genet. 2014 Nov;22(11):1260-7. doi: 10.1038/ejhg.2013.309. Epub 2014 Jan 22.

Abstract

One important piece of information about the human Mendelian disorders is the mode of inheritance. Recent studies of human genetic diseases on a large scale have provided many novel insights into the underlying molecular mechanisms. However, most successful analyses ignored the mode of inheritance of diseases, which severely limits our understanding of human disease mechanisms relating to the mode of inheritance at the large scale. Therefore, we here conducted a systematic large-scale study of the inheritance mode of Mendelian disorders, to bring new insight into human diseases. Our analyses include the comparison between dominant and recessive disease genes on both genomic and proteomic characteristics, Mendelian mutations, protein network properties and disease connections on both the genetic and the population levels. We found that dominant disease genes are more functionally central, topological central and more sensitive to disease outcome. On the basis of these findings, we suggested that dominant diseases should have higher genetic heterogeneity and should have more comprehensive connections with each other compared with recessive diseases, a prediction we confirm by disease network and disease comorbidity.

摘要

关于人类孟德尔疾病的一个重要信息是遗传模式。近期大规模的人类遗传疾病研究为潜在的分子机制提供了许多新见解。然而,大多数成功的分析忽略了疾病的遗传模式,这严重限制了我们在大规模上对与遗传模式相关的人类疾病机制的理解。因此,我们在此对孟德尔疾病的遗传模式进行了系统的大规模研究,以给人类疾病带来新的见解。我们的分析包括在基因组和蛋白质组特征、孟德尔突变、蛋白质网络特性以及遗传和群体水平上的疾病关联方面,对显性和隐性疾病基因进行比较。我们发现显性疾病基因在功能上更处于中心地位、拓扑结构上更处于中心地位,并且对疾病结果更敏感。基于这些发现,我们提出与隐性疾病相比,显性疾病应该具有更高的遗传异质性,并且相互之间应该有更全面的关联,我们通过疾病网络和疾病共病情况证实了这一预测。

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