Genome-wide association studies and systems biology: together at last

被引:23
作者
Ala-Korpela, Mika [1 ,2 ,3 ]
Kangas, Antti J. [2 ,3 ]
Inouye, Michael [4 ,5 ]
机构
[1] Cent S Univ, Coll Chem & Chem Engn, Changsha, Hunan, Peoples R China
[2] Univ Oulu, Computat Med Res Grp, Inst Clin Med, Oulu, Finland
[3] Bioctr Oulu, Oulu, Finland
[4] Royal Melbourne Hosp, Walter & Eliza Hall Inst Med Res, Immunol Div, Parkville, Vic 3050, Australia
[5] Univ Melbourne, Dept Med Biol, Parkville, Vic 3052, Australia
基金
芬兰科学院; 澳大利亚国家健康与医学研究理事会;
关键词
GENE-EXPRESSION; NETWORK; LOCI; SEQUENCE; IMPACT; RISK;
D O I
10.1016/j.tig.2011.09.002
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Following the widespread use of genome-wide association studies to elucidate the genetic architectures of complex phenotypes, there has been a push to augment existing observational studies with additional layers of molecular information. The resulting high-dimensional data have led the emergence of research in integrative systems biology. Here, we examine recent progress in characterizing biological networks as well as the corresponding conceptual and analytical challenges. Using examples from metabolomics, we contend that integrative systems biology should prompt a re-examination of conventional phenotypic measures where heterogeneous or correlated phenotypes can be fine-mapped. Although still in its infancy, it is apparent that the large-scale characterization of molecular systems will transform our understanding of phenotype, biology and pathogenesis.
引用
收藏
页码:493 / 498
页数:6
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