A knowledge-driven interaction analysis reveals potential neurodegenerative mechanism of multiple sclerosis susceptibility

被引:21
作者
Bush, W. S. [1 ]
McCauley, J. L. [2 ]
DeJager, P. L. [3 ,4 ]
Dudek, S. M. [1 ]
Hafler, D. A. [3 ,4 ]
Gibson, R. A. [5 ]
Matthews, P. M. [5 ]
Kappos, L. [6 ]
Naegelin, Y. [6 ]
Polman, C. H. [7 ]
Hauser, S. L. [8 ]
Oksenberg, J. [8 ]
Haines, J. L. [1 ]
Ritchie, M. D. [1 ]
机构
[1] Vanderbilt Univ, Dept Mol Physiol & Biophys, Ctr Human Genet Res, Nashville, TN 37232 USA
[2] Univ Miami, Miller Sch Med, Miami Inst Human Genom, Miami, FL 33136 USA
[3] Brigham & Womens Hosp, Div Mol Immunol, Ctr Neurol Dis, Dept Neurol, Boston, MA 02115 USA
[4] Harvard Univ, Sch Med, Boston, MA USA
[5] GlaxoSmithKline, Res & Dev, Middlesex, England
[6] Univ Basel Hosp, Dept Neurol, CH-4031 Basel, Switzerland
[7] Vrije Univ Med Ctr, Dept Neurol, Amsterdam, Netherlands
[8] Univ Calif San Francisco, Sch Med, Dept Neurol, San Francisco, CA USA
关键词
multiple sclerosis; knowledge-driven interaction; neurodegenerative mechanism; GENOME-WIDE ASSOCIATION; LIGHT-CHAIN KINASE; PATHWAY ANALYSIS; GENETIC ASSOCIATION; UP-REGULATION; REPLICATION; EXPRESSION; MESSENGER; DYNAMICS; BINDING;
D O I
10.1038/gene.2011.3
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Gene-gene interactions are proposed as an important component of the genetic architecture of complex diseases, and are just beginning to be evaluated in the context of genome-wide association studies (GWAS). In addition to detecting epistasis, a benefit to interaction analysis is that it also increases power to detect weak main effects. We conducted a knowledge-driven interaction analysis of a GWAS of 931 multiple sclerosis (MS) trios to discover gene-gene interactions within established biological contexts. We identify heterogeneous signals, including a gene-gene interaction between CHRM3 (muscarinic cholinergic receptor 3) and MYLK (myosin light-chain kinase) (joint P = 0.0002), an interaction between two phospholipase C-beta isoforms, PLC beta 1 and PLC beta 4 (joint P = 0.0098), and a modest interaction between ACTN1 (actinin alpha 1) and MYH9 (myosin heavy chain 9) (joint P = 0.0326), all localized to calcium-signaled cytoskeletal regulation. Furthermore, we discover a main effect (joint P = 5.2E-5) previously unidentified by single-locus analysis within another related gene, SCIN (scinderin), a calcium-binding cytoskeleton regulatory protein. This work illustrates that knowledge-driven interaction analysis of GWAS data is a feasible approach to identify new genetic effects. The results of this study are among the first gene-gene interactions and non-immune susceptibility loci for MS. Further, the implicated genes cluster within inter-related biological mechanisms that suggest a neurodegenerative component to MS. Genes and Immunity (2011) 12, 335-340; doi:10.1038/gene.2011.3; published online 24 February 2011
引用
收藏
页码:335 / 340
页数:6
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