A comprehensive framework for prioritizing variants in exome sequencing studies of Mendelian diseases

被引:192
作者
Li, Miao-Xin [1 ,2 ,3 ,4 ]
Gui, Hong-Sheng [1 ]
Kwan, Johnny S. H. [1 ,5 ]
Bao, Su-Ying [6 ]
Sham, Pak C. [1 ,2 ,3 ,4 ]
机构
[1] Univ Hong Kong, Dept Psychiat, Pokfulam, Hong Kong, Peoples R China
[2] Univ Hong Kong, State Key Lab Cognit & Brain Sci, Pokfulam, Hong Kong, Peoples R China
[3] Univ Hong Kong, Ctr Reprod Dev & Growth, Pokfulam, Hong Kong, Peoples R China
[4] Univ Hong Kong, Genome Res Ctr, Pokfulam, Hong Kong, Peoples R China
[5] Univ Hong Kong, Dept Med, Pokfulam, Hong Kong, Peoples R China
[6] Univ Hong Kong, Dept Biochem, Pokfulam, Hong Kong, Peoples R China
关键词
PROTEIN FUNCTION; GENES; DISORDERS; MUTATIONS; CAPTURE; NETWORK;
D O I
10.1093/nar/gkr1257
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Exome sequencing strategy is promising for finding novel mutations of human monogenic disorders. However, pinpointing the casual mutation in a small number of samples is still a big challenge. Here, we propose a three-level filtration and prioritization framework to identify the casual mutation(s) in exome sequencing studies. This efficient and comprehensive framework successfully narrowed down whole exome variants to very small numbers of candidate variants in the proof-of-concept examples. The proposed framework, implemented in a user-friendly software package, named KGGSeq (http://statgenpro.psychiatry.hku.hk/kggseq), will play a very useful role in exome sequencing-based discovery of human Mendelian disease genes.
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页数:8
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