Research Project
Grant-in-Aid for Young Scientists (B)
To detect causative genes related to cardiovascular disease, linkage analysis has conventionally been used. However, linkage analysis is underpowered in small families as often seen in clinical settings. We therefore developed a novel method for identifying genes, where DNA differences between a patient and unrelated healthy individuals around candidate genes are measured by the Hamming Distance Ratio (HDR). We further developed the HDR method to detect causative genes with various modes of inheritance and chromosomal deletions and succeeded in releasing software as a novel analysis tool for gene identification. As a clinical application of this tool, novel genes related to cardiovascular diseases have been identified.
All 2018 2017 2016 Other
All Int'l Joint Research (1 results) Journal Article (7 results) (of which Int'l Joint Research: 5 results, Peer Reviewed: 7 results, Open Access: 6 results, Acknowledgement Compliant: 3 results) Presentation (9 results) (of which Int'l Joint Research: 3 results) Book (2 results) Remarks (3 results)
Journal of Pediatrics
Volume: 193 Pages: 256-260
10.1016/j.jpeds.2017.09.075
eLS. John Wiley & Sons, Ltd: Chichester.
Volume: 1 Pages: 1-5
10.1002/9780470015902.a0005360.pub2
Human Mutation
Volume: 38 Issue: 12 Pages: 1796-1800
10.1002/humu.23298
Nephrology Dialysis Transplantation
Volume: 32 Issue: 12 Pages: 2010-2007
10.1093/ndt/gfx083
Human Molecular Genetics
Volume: 26 Pages: 173-183
10.1093/hmg/ddw377
Journal of Human Genetics
Volume: 61 Issue: 11 Pages: 959-963
10.1038/jhg.2016.85
40021000514
International Journal of Cardiology
Volume: 221 Pages: 446-449
10.1016/j.ijcard.2016.06.287
http://www.gi.med.osaka-u.ac.jp/software/hdr
http://www.gi.med.osaka-u.ac.jp/software/hdr2
http://www.gi.med.osaka-u.ac.jp/genome/software