Bioinformatics challenges for personalized medicine

被引:150
作者
Fernald, Guy Haskin [1 ]
Capriotti, Emidio [2 ,3 ]
Daneshjou, Roxana
Karczewski, Konrad J. [1 ,4 ]
Altman, Russ B. [2 ,4 ]
机构
[1] Stanford Univ, Sch Med, Biomed Informat Training Program, Stanford, CA 94305 USA
[2] Stanford Univ, Dept Bioengn, Stanford, CA 94305 USA
[3] Univ Balearic Isl, Dept Math & Comp Sci, Palma de Mallorca, Spain
[4] Stanford Univ, Dept Genet, Stanford, CA 94305 USA
关键词
GENOME-WIDE ASSOCIATION; SINGLE NUCLEOTIDE POLYMORPHISMS; NON-SYNONYMOUS SNPS; ALZHEIMERS-DISEASE; PROTEIN MUTATIONS; STABILITY CHANGES; DRUG DEVELOPMENT; SYSTEMS BIOLOGY; WEB SERVER; GENE;
D O I
10.1093/bioinformatics/btr295
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Motivation: Widespread availability of low-cost, full genome sequencing will introduce new challenges for bioinformatics. Results: This review outlines recent developments in sequencing technologies and genome analysis methods for application in personalized medicine. New methods are needed in four areas to realize the potential of personalized medicine: (i) processing large-scale robust genomic data; (ii) interpreting the functional effect and the impact of genomic variation; (iii) integrating systems data to relate complex genetic interactions with phenotypes; and (iv) translating these discoveries into medical practice.
引用
收藏
页码:1741 / 1748
页数:8
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