The genome revolution and its role in understanding complex diseases

被引:38
作者
Hofker, Marten H. [1 ]
Fu, Jingyuan [2 ]
Wijmenga, Cisca [2 ]
机构
[1] Univ Groningen, Univ Med Ctr Groningen, Dept Mol Genet, Groningen, Netherlands
[2] Univ Groningen, Univ Med Ctr Groningen, Dept Genet, NL-9713 AV Groningen, Netherlands
来源
BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR BASIS OF DISEASE | 2014年 / 1842卷 / 10期
关键词
Genome; Genetic variation; Complex disease; Disease etiology; Functional analysis; GENETIC-LINKAGE MAP; WIDE ASSOCIATION; APOLIPOPROTEIN-E; STEM-CELLS; COMMON; RISK; VARIANTS; MODEL; ADULT; MUTATIONS;
D O I
10.1016/j.bbadis.2014.05.002
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The completion of the human genome sequence in 2003 clearly marked the beginning of a new era for biomedical research. It spurred technological progress that was unprecedented in the life sciences, including the development of high-throughput technologies to detect genetic variation and gene expression. The study of genetics has become "big data science". One of the current goals of genetic research is to use genomic information to further our understanding of common complex diseases. An essential first step made towards this goal was by the identification of thousands of single nucleotide polymorphisms showing robust association with hundreds of different traits and diseases. As insight into common genetic variation has expanded enormously and the technology to identify more rare variation has become available, we can utilize these advances to gain a better understanding of disease etiology. This will lead to developments in personalized medicine and P4 healthcare. Here, we review some of the historical events and perspectives before and after the completion of the human genome sequence. We also describe the success of large-scale genetic association studies and how these are expected to yield more insight into complex disorders. We show how we can now combine gene-oriented research and systems-based approaches to develop more complex models to help explain the etiology of common diseases. This article is part of a Special Issue entitled: From Genome to Function. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:1889 / 1895
页数:7
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