Assessing Gene-Gene Interactions in Pharmacogenomics

被引:0
作者
Lane, Hsien-Yuan [2 ,3 ,4 ]
Tsai, Guochuan E. [5 ,6 ]
Lin, Eugene [1 ,3 ]
机构
[1] Vita Genom Inc, Taipei, Taiwan
[2] China Med Univ Hosp, Dept Psychiat, Taichung, Taiwan
[3] China Med Univ, Inst Clin Med Sci, Taichung, Taiwan
[4] Sunshine Psychiat Hosp, Taichung, Taiwan
[5] Harbor UCLA Med Ctr, Los Angeles Biomed Res Inst, Torrance, CA 90509 USA
[6] Harbor UCLA Med Ctr, Dept Psychiat, Torrance, CA 90509 USA
关键词
GENOME-WIDE ASSOCIATION; MULTIFACTOR-DIMENSIONALITY REDUCTION; SINGLE NUCLEOTIDE POLYMORPHISM; TERM ANTIDEPRESSANT RESPONSE; MAJOR DEPRESSIVE DISORDER; CHRONIC HEPATITIS-C; ENVIRONMENT INTERACTIONS; SIBUTRAMINE THERAPY; CANDIDATE GENES; WEIGHT-LOSS;
D O I
10.1007/BF03256426
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
In pharmacogenomics studies, gene-gene interactions play an important role in characterizing a trait that involves complex pharmacokinetic and pharmacodynamic mechanisms, particularly when each involved feature only demonstrates a minor effect. In addition to the candidate gene approach, genome-wide association studies (GWAS) are widely utilized to identify common variants that are associated with treatment response. In the wake of recent advances in scientific research, a paradigm shift from GWAS to wholegenome sequencing is expected, because of the reduced cost and the increased throughput of next-generation sequencing technologies. This review first outlines several promising methods for addressing gene-gene interactions in pharmacogenomics studies. We then summarize some candidate gene studies for various treatments with consideration of gene-gene interactions. Furthermore, we give a brief overview for the pharmacogenomics studies with the GWAS approach and describe the limitations of these GWAS in terms of gene-gene interactions. Future research in translational medicine promises to lead to mechanistic findings related to drug responsiveness in light of complex gene-gene interactions and will probably make major contributions to individualized medicine and therapeutic decision-making.
引用
收藏
页码:15 / 27
页数:13
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