Finding disease candidate genes by liquid association.
A novel approach to finding candidate genes by using gene expression data through liquid association is developed and used to identify multiple sclerosis susceptibility candidate genes.
Li
Ker-Chau
KC
Department of Statistics, UCLA, 8125 Math Sciences Bldg, Los Angeles, California 90095-1554, USA. kcli@stat.ucla.edu
Palotie
Aarno
A
Yuan
Shinsheng
S
Bronnikov
Denis
D
Chen
Daniel
D
Wei
Xuelian
X
Choi
Oi-Wa
OW
Saarela
Janna
J
Peltonen
Leena
L
D019295:Computational Biology / Q000379:methods*; D027341:Excitatory Amino Acid Transporter 1 / Q000378:metabolism; D005387:Finland; D015870:Gene Expression; D020022:Genetic Predisposition to Disease / Q000235:genetics*; D005820:Genetic Testing / Q000379:methods*; D023281:Genomics / Q000379:methods*; D005838:Genotype; D006801:Humans; D009103:Multiple Sclerosis / Q000235:genetics; D051571:Protein Kinase C-alpha / Q000378:metabolism
D027341:Excitatory Amino Acid Transporter 1; C493394:SLC1A3 protein, human; C496628:PRKCA protein, human; D051571:Protein Kinase C-alpha