Annotate-it: a Swiss-knife approach to annotation, analysis and interpretation of single nucleotide variation in human disease

被引:27
作者
Sifrim, Alejandro [1 ,2 ]
Van Houdt, Jeroen K. J. [3 ]
Tranchevent, Leon-Charles [1 ,2 ]
Nowakowska, Beata [3 ]
Sakai, Ryo [1 ,2 ]
Pavlopoulos, Georgios A. [1 ,2 ]
Devriendt, Koen [3 ]
Vermeesch, Joris R. [3 ]
Moreau, Yves [1 ,2 ]
Aerts, Jan [1 ,2 ]
机构
[1] Katholieke Univ Leuven, Dept Elect Engn ESAT, SCD SISTA, B-3001 Louvain, Belgium
[2] IBBT Future Hlth Dept, B-3001 Louvain, Belgium
[3] Katholieke Univ Leuven, Ctr Human Genet, Univ Hosp Gasthuisberg, B-3000 Louvain, Belgium
来源
GENOME MEDICINE | 2012年 / 4卷
关键词
NICOLAIDES-BARAITSER SYNDROME; COFFIN-SIRIS SYNDROME; SEQUENCING DATA; FUNCTIONAL ANNOTATION; MENTAL-RETARDATION; MISSENSE MUTATIONS; GENOMIC VARIANTS; HUMAN EXOMES; LARGE-SCALE; DATABASE;
D O I
10.1186/gm374
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
The increasing size and complexity of exome/genome sequencing data requires new tools for clinical geneticists to discover disease-causing variants. Bottlenecks in identifying the causative variation include poor cross-sample querying, constantly changing functional annotation and not considering existing knowledge concerning the phenotype. We describe a methodology that facilitates exploration of patient sequencing data towards identification of causal variants under different genetic hypotheses. Annotate-it facilitates handling, analysis and interpretation of high-throughput single nucleotide variant data. We demonstrate our strategy using three case studies. Annotate-it is freely available and test data are accessible to all users at http://www.annotate-it.org.
引用
收藏
页数:12
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