Open Access Highly Accessed Research article

Insights into the regulation of human CNV-miRNAs from the view of their target genes

Xudong Wu, Dinglin Zhang and Guohui Li*

Laboratory of Molecular Modeling and Design, State key Laboratory of Molecular Reaction Dynamics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Rd., Dalian, 116023, PR China

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BMC Genomics 2012, 13:707 doi:10.1186/1471-2164-13-707

Published: 18 December 2012

Additional files

Additional file 1:

The 63,428 regulatory relationships among 541 miRNA families and 9,174 target genes.

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Additional file 2:

The 172 human CNV-miRNA-families and their encoding members.

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Additional file 3:

List of targets genes with three regulatory patterns of miRNAs. The numbers in parenthesis represent the total number of regulatory miRNAs and the number of CNV-miRNAs, respectively.

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Additional file 4:

Coefficient of variation (CV) of human protein-coding genes in four HapMap ethnic populations.

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Additional file 5:

Minor allele frequencies (MAFs) of 5′UTR- and 3′UTR-SNPs in four HapMap ethnic populations.

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Additional file 6:

List of 2,624 differentially expressed genes among six population pairs comparisons selected from four HapMap ethnic populations.

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Additional file 7:

The differential expression ratios (DERs) of 1,8763 human genes that were used for TargetScan5.1 prediction.

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Additional file 8:

The 21 and eight CNV-miRNA-families of Pan troglodytes and Mus musculus,respectively. As there are no miRNA targets from the TargetScan prediction for Pan troglodyte, the miRNA-family IDs were represented by Rfam identifiers (http://rfam.sanger.ac.uk/ webcite).

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