Abstract
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Baudhuin L. Genetics of coronary artery disease: focus on genome-wide association studies. Am J Transl Res. 2009;1(3):221-234.
Collins F. Interview with Frances Collins, Science. 2008;June 6, extended online version.
Collins F. The Language of Life: DNA and the Revolution in Personalized Medicine. New York: Harper Collins; 2010.
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.
Couzin-Frankel J. Major heart disease genes prove elusive. Science. 2010;328:1221-1222.
Daly A. Pharmacogenetics of anticoagulants: steps toward personal dosage. Genome Med. 2009;1:1-4.
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.
IOM 2010. The Value of Genetic and Genomic Technologies: Workshop Summary. Washington D.C.: Institute of Medicine, National Academies Press; 2010.
Institute for Systems Biology, P4 Personalized Medicine. www.systemsbiology.org/Predictive_Preventive_Personalized_and_Participatory.
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.
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.
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.
McClellan J, King MC. Genetic heterogeneity in human disease. Cell. 2010;141:210-217.
P4I Personalized Medicine Institute, http://phc.osumc.edu/
Rosove M, Grody W. Should we be applying warfarin pharmocogenetics to clinical practice? No, not now. Ann Intern Med. 2009;151(4):270-273.
Schatz B, Berlin R. Scalable Personalized Medicine, Scientists and Engineers for America (Sefora.org), OpEd essay; February 19, 2009. http://sefora.org/2009/02/19/scalable-personalized-medicine/.
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.
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.
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.
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.
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.
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.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag London limited
About this chapter
Cite this chapter
Schatz, B.R., Berlin, R.B. (2011). Genomes for Individual Ability (Features). In: Healthcare Infrastructure. Health Informatics. Springer, London. https://doi.org/10.1007/978-0-85729-452-4_11
Download citation
DOI: https://doi.org/10.1007/978-0-85729-452-4_11
Published:
Publisher Name: Springer, London
Print ISBN: 978-0-85729-451-7
Online ISBN: 978-0-85729-452-4
eBook Packages: MedicineMedicine (R0)