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Finding disease candidate genes by liquid association

Ker-Chau Li12*, Aarno Palotie3456, Shinsheng Yuan2, Denis Bronnikov47, Daniel Chen4, Xuelian Wei1, Oi-Wa Choi4, Janna Saarela7 and Leena Peltonen78*

Author Affiliations

1 Department of Statistics, UCLA, 8125 Math Sciences Bldg, Los Angeles, California 90095-1554, USA

2 Institute of Statistical Science, Academia Sinica, Academia Road, Nankang, Taipei 115, Taiwan

3 The Finnish Genome Center and Department of Clinical Chemistry, University of Helsinki, Haartmaninkatu, 00290 Helsinki, Finland

4 The Broad Institute of Harvard and MIT, Cambridge Center, Cambridge, Massachusetts 02142, USA

5 Department of Pathology and Laboratory Medicine, Gonda Researach Center, UCLA, Los Angeles, California 90095-1766, USA

6 Department of Human Genetics, UCLA, 695 Charles E. Young Drive South, Los Angeles, California 90095-1766, USA

7 National Public Health Institute, Helsinki, Finland, Biomedicum Helsinki, Haartmaninkatu, 00290 Helsinki, Finland

8 Department of Medical Genetics, University of Helsinki, Biomedicum Helsinki, Haartmaninkatu, 00290 Helsinki, Finland

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Genome Biology 2007, 8:R205  doi:10.1186/gb-2007-8-10-r205

Published: 4 October 2007

Abstract

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.