Send to

Choose Destination
Int J Biol Sci. 2007 Oct 25;3(7):420-7.

Candidate gene identification approach: progress and challenges.

Author information

Key Laboratory of Agricultural Animal Genetics, Breeding, Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, PR China.


Although it has been widely applied in identification of genes responsible for biomedically, economically, or even evolutionarily important complex and quantitative traits, traditional candidate gene approach is largely limited by its reliance on the priori knowledge about the physiological, biochemical or functional aspects of possible candidates. Such limitation results in a fatal information bottleneck, which has apparently become an obstacle for further applications of traditional candidate gene approach on many occasions. While the identification of candidate genes involved in genetic traits of specific interest remains a challenge, significant progress in this subject has been achieved in the last few years. Several strategies have been developed, or being developed, to break the barrier of information bottleneck. Recently, being a new developing method of candidate gene approach, digital candidate gene approach (DigiCGA) has emerged and been primarily applied to identify potential candidate genes in some studies. This review summarizes the progress, application software, online tools, and challenges related to this approach.


candidate gene approach; digital candidate gene approach; information bottleneck

[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Ivyspring International Publisher Icon for PubMed Central
Loading ...
Support Center