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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
biochemistry, genetics and molecular biology
A prioritization analysis of disease association by data-mining of functional annotation of human genes
Genomics, Volume 99, No. 1, Year 2012
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Description
Complex diseases result from contributions of multiple genes that act in concert through pathways. Here we present a method to prioritize novel candidates of disease-susceptibility genes depending on the biological similarities to the known disease-related genes. The extent of disease-susceptibility of a gene is prioritized by analyzing seven features of human genes captured in H-InvDB. Taking rheumatoid arthritis (RA) and prostate cancer (PC) as two examples, we evaluated the efficiency of our method. Highly scored genes obtained included TNFSF12 and OSM as candidate disease genes for RA and PC, respectively. Subsequent characterization of these genes based upon an extensive literature survey reinforced the validity of these highly scored genes as possible disease-susceptibility genes. Our approach, Prioritization ANalysis of Disease Association (PANDA), is an efficient and cost-effective method to narrow down a large set of genes into smaller subsets that are most likely to be involved in the disease pathogenesis. © 2011.
Authors & Co-Authors
Taniya, Takayuki
Japan, Tsukuba
National Institute of Advanced Industrial Science and Technology
Tanaka, Susumu
Japan, Tokyo
Tokyo Metropolitan Institute of Medical Science
Yamaguchi-Kabata, Yumi
Japan, Tsukuba
National Institute of Advanced Industrial Science and Technology
Japan, Wako
Riken
Hanaoka, Hideki
Japan, Tokyo
The University of Tokyo
Yamasaki, Chisato
Japan, Tsukuba
National Institute of Advanced Industrial Science and Technology
Maekawa, Harutoshi
Japan, Tsukuba
National Institute of Advanced Industrial Science and Technology
Japan, Tokyo
Co., Ltd
Barrero, Roberto A.
Australia, Perth
Murdoch University
Lenhard, Boris
Sweden, Stockholm
Karolinska Institutet
Datta, Milton W.
United States, Minneapolis
University of Minnesota Medical School
Shimoyama, Mary E.
United States, Milwaukee
Medical College of Wisconsin
Bumgarner, Roger E.
United States, Seattle
University of Washington
Chakraborty, Ranajit
United States, Fort Worth
University of North Texas Health Science Center at Fort Worth
Hopkinson, Ian
United Kingdom, London
Ucl Medical School
Jia, Libin
United States, Rockville
National Cancer Institute Nci
Hide, Winston A.
South Africa, Bellville
University of the Western Cape
Auffray, Charles
France, Paris
Sorbonne Université
Minoshima, Shinsei
Japan, Hamamatsu
Hamamatsu University School of Medicine
Imanishi, Tadashi
Japan, Tsukuba
National Institute of Advanced Industrial Science and Technology
Gojobori, Takashi
Japan, Tsukuba
National Institute of Advanced Industrial Science and Technology
Japan, Mishima
Dna Data Bank of Japan
Statistics
Citations: 19
Authors: 19
Affiliations: 17
Identifiers
Doi:
10.1016/j.ygeno.2011.10.002
ISSN:
08887543
e-ISSN:
10898646
Research Areas
Cancer
Environmental
Genetics And Genomics
Study Design
Cross Sectional Study
Study Approach
Quantitative