Corpus ID: 83532001

Application of compressed sensing to genome wide association studies and genomic selection

@inproceedings{Vattikuti2013ApplicationOC,
  title={Application of compressed sensing to genome wide association studies and genomic selection},
  author={Shashaank Vattikuti and James Jung-Hoon Lee and Christopher C. Chang and Stephen D. H. Hsu and Carson C. Chow},
  year={2013}
}
  • Shashaank Vattikuti, James Jung-Hoon Lee, +2 authors Carson C. Chow
  • Published 2013
  • Biology, Mathematics
  • We show that the signal-processing paradigm known as compressed sensing (CS) is applicable to genome-wide association studies (GWAS) and genomic selection (GS). The aim of GWAS is to isolate trait-associated loci, whereas GS attempts to predict the phenotypic values of new individuals on the basis of training data. CS addresses a problem common to both endeavors, namely that the number of genotyped markers often greatly exceeds the sample size. We show using CS methods and theory that all loci… CONTINUE READING

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