Microarrays 2014, 3, 52-71; doi:10.3390/microarrays3010052 OPEN ACCESS microarrays ISSN 2076-3905 www.mdpi.com/journal/microarrays Article Identifying Potential Regions of Copy Number Variation for Bipolar Disorder Yi-Hsuan Chen 1, Ru-Band Lu 2, Hung Hung 1,3 and Po-Hsiu Kuo 1,3,* 1 Department of Public Health & Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei 100, Taiwan; E-Mails:
[email protected] (Y.-H.C.);
[email protected] (H.H.) 2 Department of Psychiatry, College of Medicine & Hospital, National Cheng Kung University, Tainan 704, Taiwan; E-Mail:
[email protected] 3 Research Center for Genes, Environment and Human Health, National Taiwan University, Taipei 100, Taiwan * Author to whom correspondence should be addressed; E-Mail:
[email protected]; Tel.: +886-2-3366-8015; Fax: +886-2-2351-1955. Received: 1 December 2013; in revised form: 10 February 2014 / Accepted: 12 February 2014 / Published: 28 February 2014 Abstract: Bipolar disorder is a complex psychiatric disorder with high heritability, but its genetic determinants are still largely unknown. Copy number variation (CNV) is one of the sources to explain part of the heritability. However, it is a challenge to estimate discrete values of the copy numbers using continuous signals calling from a set of markers, and to simultaneously perform association testing between CNVs and phenotypic outcomes. The goal of the present study is to perform a series of data filtering and analysis procedures using a DNA pooling strategy to identify potential CNV regions that are related to bipolar disorder.