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Direct genomic selection

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Figure 1: A flow diagram of the direct genomic selection process.

References

  1. Helms, C. et al. A putative RUNX1 binding site variant between SLC9A3R1 and RAT9 is associated with susceptibility to psoriasis. Nat. Genet. 35, 349–356 (2003).

    Article  CAS  Google Scholar 

  2. Pajukanta, P. et al. Familial combined hyperlipidemia is associated with upstream transcription factor 1 (USF1). Nat. Genet. 36, 371–376 (2004).

    Article  CAS  Google Scholar 

  3. Balmain, A., Gray, J. & Ponder, B. The genetics and genomics of cancer. Nat. Genet. (Suppl.) 33, 238–244 (2003).

    Article  CAS  Google Scholar 

  4. Kile, B.T. et al. Functional genetic analysis of mouse chromosome 11. Nature 425, 81–86 (2003).

    Article  CAS  Google Scholar 

  5. Lovett, M., Kere, J. & Hinton, L.M. Direct selection: a method for the isolation of cDNAs encoded by extended genomic regions. Proc. Natl. Acad. Sci. USA 88, 9628–9632 (1991).

    Article  CAS  Google Scholar 

  6. Lovett, M. Direct selection of cDNAs with large genomic DNA clones. In Molecular Cloning: A Laboratory Manual Edn. 3 Vol. 2 (eds. Sambrook., J. & Russell, D.W.) 11.98–11.133 (Cold Spring Harbor Laboratory Press, Cold Spring Harbor, New York, USA, 2001).

    Google Scholar 

  7. Hacia, J.G. Resequencing and mutational analysis using oligonucleotide microarrays. Nat. Genet. 21, 42–49 (1999)

    Article  CAS  Google Scholar 

  8. Faham, M., Baharloo, S., Tomitaka, S., DeYoung, J. & Freimer, N.B. Mismatch repair detection (MRD): high-throughput scanning for DNA variations. Hum. Mol. Genet. 10, 1657–1664 (2001).

    Article  CAS  Google Scholar 

  9. Stengard, J.H. et al. Contributions of 18 additional DNA sequence variations in the gene encoding apolipoprotein E to explaining variation in quantitative measures of lipid metabolism. Am. J. Hum. Genet. 71, 501–517 (2002).

    Article  CAS  Google Scholar 

  10. Crawford, D.C. et al. Haplotype diversity across 100 candidate genes for inflammation, lipid metabolism, and blood pressure regulation in two populations. Am. J. Hum. Genet. 74, 610–622 (2004).

    Article  CAS  Google Scholar 

  11. Fullerton, S.M. et al. The effects of scale: variation in the APOA1/C3/A4/A5 gene cluster. Hum. Genet. 115, 36–56 (2004).

    Article  CAS  Google Scholar 

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Correspondence to Michael Lovett.

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Bashiardes, S., Veile, R., Helms, C. et al. Direct genomic selection. Nat Methods 2, 63–69 (2005). https://doi.org/10.1038/nmeth0105-63

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