Literature DB >> 25519352

Correction: A dual clustering framework for association screening with whole genome sequencing data and longitudinal traits.

Ying Liu1, Chien Hsun Huang1, Inchi Hu2, Shaw-Hwa Lo1, Tian Zheng1.   

Abstract

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Year:  2014        PMID: 25519352      PMCID: PMC4143732          DOI: 10.1186/1753-6561-8-S1-S112

Source DB:  PubMed          Journal:  BMC Proc        ISSN: 1753-6561


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Correction

For the previous publication of our article [1], Figure 1 was incorrectly processed as grayscale. We present, here in this correction, the original Figure in full color.
Figure 1

Clustering of individuals using SNPs with MAFs between 0.01 and 0.05 for MAP4. A, Shown are 10 clusters, with the numbers at the top odds ratios within each partition block based on blood pressures. Each row is a SNP, and each column is an individual. SNPs are ordered with decreasing MAFs (from top to bottom). Green vertical bars indicate subjects with higher blood pressures (see text). Genotype aa is plotted in red, aA is plotted in blue, and AA is plotted in white (a denotes the minor allele). The partitions of the 849 individuals are indicated by dotted lines. Most partition elements are driven by similarity on rarer SNPs but not on more common SNPs. B, Clustering of individuals using their SBP curves from the first simulation. It can be seen that individuals are reasonably grouped into 1 high blood pressure cluster and 1 low blood pressure cluster.

Clustering of individuals using SNPs with MAFs between 0.01 and 0.05 for MAP4. A, Shown are 10 clusters, with the numbers at the top odds ratios within each partition block based on blood pressures. Each row is a SNP, and each column is an individual. SNPs are ordered with decreasing MAFs (from top to bottom). Green vertical bars indicate subjects with higher blood pressures (see text). Genotype aa is plotted in red, aA is plotted in blue, and AA is plotted in white (a denotes the minor allele). The partitions of the 849 individuals are indicated by dotted lines. Most partition elements are driven by similarity on rarer SNPs but not on more common SNPs. B, Clustering of individuals using their SBP curves from the first simulation. It can be seen that individuals are reasonably grouped into 1 high blood pressure cluster and 1 low blood pressure cluster.
  1 in total

1.  A dual-clustering framework for association screening with whole genome sequencing data and longitudinal traits.

Authors:  Ying Liu; ChienHsun Huang; Inchi Hu; Shaw-Hwa Lo; Tian Zheng
Journal:  BMC Proc       Date:  2014-06-17
  1 in total

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