Genomes for Individual Ability (Features)

  • Bruce R. Schatz
  • Richard B. BerlinJr.
Part of the Health Informatics book series (HI)


The study of heredity has a long tradition. In the time of the Greeks, Hippocrates described the inherited head shape of the Macrocephalics. It was known for millennia that some traits were passed from generation to generation. The study of genetics usually begins with Mendel and his study of pea plants and the inheritance of a few known characteristics. But the field of genetics exploded in the twentieth century with the rise of molecular biology, which became big science with the genome project and the mapping of human genome. Genetics at the molecular level has changed the study of inheritance.


Breast Cancer Prostate Cancer Atrial Fibrillation Cystic Fibrosis Warfarin Dose 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 11.
    Baudhuin L. Genetics of coronary artery disease: focus on genome-wide association studies. Am J Transl Res. 2009;1(3):221-234.PubMedGoogle Scholar
  2. 54.
    Collins F. Interview with Frances Collins, Science. 2008;June 6, extended online version.Google Scholar
  3. 55.
    Collins F. The Language of Life: DNA and the Revolution in Personalized Medicine. New York: Harper Collins; 2010.Google Scholar
  4. 57.
    Cooper G, Johnson J, Langaee T, et al. A genome-wide scan for common genetic variants with a large influence on warfarin maintenance dose. Blood. 2008;112(4):1022-1027.PubMedCrossRefGoogle Scholar
  5. 59.
    Couzin-Frankel J. Major heart disease genes prove elusive. Science. 2010;328:1221-1222.Google Scholar
  6. 63.
    Daly A. Pharmacogenetics of anticoagulants: steps toward personal dosage. Genome Med. 2009;1:1-4.CrossRefGoogle Scholar
  7. 112.
    Horne B, Carlquist J, Muhlestein J, et al. Association of variation in the chromosome 9p21 locus with myocardial infarction versus chronic coronary artery disease. Circ Cardiovasc Genet. 2008;1:85-92.PubMedCrossRefGoogle Scholar
  8. 120.
    IOM 2010. The Value of Genetic and Genomic Technologies: Workshop Summary. Washington D.C.: Institute of Medicine, National Academies Press; 2010.Google Scholar
  9. 122.
    Institute for Systems Biology, P4 Personalized Medicine.
  10. 140.
    Langley M, Booker J, Evans J, et al. Validation of clinical testing for warfarin sensitivity – comparison of CYP2C9-VKORC1 genotyping assays and warfarin-dosing algorithms. J Mol Diagn. 2009;11(3):216-225.PubMedCrossRefGoogle Scholar
  11. 143.
    Li S, Lee A. Silicone implant and primary breast ALK1-negative anaplastic large cell lymphoma, fact or fiction? Int J Exp Pathol. 2009;3(1):117-127.Google Scholar
  12. 147.
    Manolio T, Brooks L, Collins F. A HapMap harvest of insights into the genetics of common disease. J Clin Investig. 2008;118(5):1590-1605.PubMedCrossRefGoogle Scholar
  13. 159.
    McClellan J, King MC. Genetic heterogeneity in human disease. Cell. 2010;141:210-217.PubMedCrossRefGoogle Scholar
  14. 183.
    P4I Personalized Medicine Institute,
  15. 210.
    Rosove M, Grody W. Should we be applying warfarin pharmocogenetics to clinical practice? No, not now. Ann Intern Med. 2009;151(4):270-273.PubMedGoogle Scholar
  16. 227.
    Schatz B, Berlin R. Scalable Personalized Medicine, Scientists and Engineers for America (, OpEd essay; February 19, 2009.
  17. 242.
    Takenaka M, Tanaka M, Isobe M, et al. Angiosarcoma of the breast with silicone granuloma: a case report. Kurume Med J. 2009;56(1–2):33-37.PubMedCrossRefGoogle Scholar
  18. 260.
    van der Veldt A, Kleign S, Nanayakkara P. Silicone breast implants and anaplastic large T-cell lymphoma. J Am Med Assoc. 2009;300(17):2030-2035.Google Scholar
  19. 263.
    Wacholder S, Hartge P, Prentice R, et al. Performance of common genetic variants in breast-cancer risk models. N Engl J Med. 2010;362:986-993.PubMedCrossRefGoogle Scholar
  20. 268.
    Water K, Le Marchand L, Kolonel L, et al. Generalizability of associations from prostate cancer genome-wide association studies in multiple populations. Cancer Epidemiol Biomark Prev. 2009;18(4):1285-1289.CrossRefGoogle Scholar
  21. 292.
    Yamada H, Penney K, Takahashi H, et al. Replication of prostate cancer risk loci in a Japanese case-control association study. J Natl Cancer Inst. 2009;101(19):1330-1336.PubMedCrossRefGoogle Scholar
  22. 293.
    Yeager M, Orr N, Hayes R, et al. Genome-wide association study of prostate cancer identifies a second risk locus at 8q24. Nat Genet. 2007;39(5):645-649.PubMedCrossRefGoogle Scholar

Copyright information

© Springer-Verlag London limited 2011

Authors and Affiliations

  • Bruce R. Schatz
    • 1
  • Richard B. BerlinJr.
    • 1
  1. 1.Department of Medical Information Science, Department of Computer ScienceUniversity of Illinois at Urbana-ChampaignUrbanaUSA

Personalised recommendations