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This article is part of the supplement: Selected articles from the Eleventh Asia Pacific Bioinformatics Conference (APBC 2013): Genomics

Open Access Proceedings

A probabilistic method for identifying rare variants underlying complex traits

Jiayin Wang2*, Zhongmeng Zhao1*, Zhi Cao1, Aiyuan Yang1 and Jin Zhang2

Author Affiliations

1 Department of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, P.R.China

2 Computer Science and Engineering Department, University of Connecticut, Storrs, Connecticut 06269-2155, USA

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BMC Genomics 2013, 14(Suppl 1):S11  doi:10.1186/1471-2164-14-S1-S11

Published: 21 January 2013

Additional files

Additional file 1:

Table S1. The power comparisons at different levels of PAR and different numbers of causal variants.

Format: XLSX Size: 15KB Download file

Open Data

Additional file 2:

Table S2. The power comparisons for different configurations of causal variants depended on PARs.

Format: XLSX Size: 17KB Download file

Open Data

Additional file 3:

Table S3. The power comparisons for different configurations of regions.

Format: XLSX Size: 12KB Download file

Open Data