Social networking and personal genomics: Suggestions for optimizing the interaction

American Journal of Bioethics

Volumn 9, Issue 6-7, 2009, Pages 15-19

  Greenbaum, Dov ^a   Gerstein, Mark ^b  

^a McDermott Will and Emery LLP   (United States)

^b YALE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCESS TO INFORMATION; ARTICLE; ATTITUDE TO HEALTH; CONSUMER; CONSUMER HEALTH INFORMATION; ECONOMICS; EPIDEMIOLOGY; ETHICS; FINANCIAL MANAGEMENT; GENETIC PRIVACY; GENETIC SCREENING; GENOMICS; HUMAN; HUMAN GENOME; INTERNET; REPRODUCIBILITY; SOCIAL SUPPORT; STANDARD;

ACCESS TO INFORMATION; BIAS (EPIDEMIOLOGY); CONSUMER HEALTH INFORMATION; CONSUMER PARTICIPATION; GENETIC PRIVACY; GENETIC TESTING; GENOME, HUMAN; GENOMICS; HEALTH KNOWLEDGE, ATTITUDES, PRACTICE; HUMANS; INTERNET; MARKETING OF HEALTH SERVICES; REPRODUCIBILITY OF RESULTS; SOCIAL SUPPORT;

EID: 70449726791     PISSN: 15265161     EISSN: 15360075     Source Type: Journal    
DOI: 10.1080/15265160902894039     Document Type: Article

References (33)

1. Altmuller, J., Palmer, L. J., Fischer, G., Scherb, H., and Wjst, M. 2001. Genomewide scans of complex human diseases: True linkage is hard to find. American Journal of Human Genetics 69(5): 936-950.
2. Bertram, L., McQueen, M. B., Mullin, K., Blacker, D., and Tanzi, R. E. 2007. Systematic meta-analyses of Alzheimer disease genetic association studies: The AlzGene database. Nature Genetics 39(1): 17-23.
3. Chanock, S. J., Manolio, T., and Boehnke, M. et al. 2007. Replicating genotype-phenotype associations. Nature 447(7145): 655-660.
4. Clark, A. G., Boerwinkle, E., Hixson, J., and Sing, C. F. 2005. Determinantsofthesuccessofwhole-genomeassociationtesting.Genome Research 15(11): 1463-1467.
5. Curtis, D., Vine, A. E., and Knight, J. 2007. A pragmatic suggestion for dealing with results for candidate genes obtained from genome wide association studies. BMC Genetics 8(20): 20-26.
6. Dickerson, D. 2007. Risk Management and the Millennial Generation. Campus Activities Programming. January/February 2007. Available at http://ssrn.com/abstract-1093684.
7. Editor.1999.Freelyassociating[editorial].NatureGenetics 22(1):1-2.
8. Fogel, J., and Nehmad, E. 2009. Internet social network communities: Risk taking, trust, and privacy concerns. Computers in Human Behavior 25(1): 153-160.
9. Frayling, T. M. 2008. Commentary: Genetic association studies see light at the end of the tunnel. International Journal of Epidemiology 37(1): 133-135.
10. Freedman, M. L., Reich, D., Penney, K. L. et al. 2004. Assessing the impact of population stratification on genetic association studies. Nature Genetics 36(4): 388-393.
11. Freimer, N. B., and Sabatti, C. 2005. Guidelines for association studies in Human Molecular Genetics. Human Molecular Genetics 14(17): 2481-2483.
12. Freimer, N. B., and Sabatti, C. 2007. Human genetics: Variants in common diseases. Nature 445(7130): 828-830.
13. Greenbaum, D., Du, J and Gerstein, M. 2008. Genomic anonymity: Have we already lost it? American Journal of Bioethics 8(10): 71-74.
14. Hattersley, A. T., and McCarthy, M. I. 2005. What makes a good genetic association study? Lancet 366(9493): 1315-1323.
15. Hirschhorn, J. N., and Daly, M. J. 2005. Genome-wide association studies for common diseases and complex traits. Nature Reviews Genetics 6(2): 95-108.
16. Hirschhorn, J. N., Lohmueller, K., Byrne, E., and Hirschhorn, K. 2002. A comprehensive review of genetic association studies. Genetics in Medicine 4(2): 45-61.
17. Hunter, D. J., and Kraft, P. 2007. Drinking from the fire hose- statistical issues in genomewide association studies. New England Journal of Medicine 357(5): 436-439.
18. Ioannidis, J. P. 2003. Genetic associations: False or true? Trends in Molecular Medicine 9(4): 135-138.
19. Ioannidis, J. P. 2005. Why most published research findings are false. PLoS Med 2(8): e124.
20. Ioannidis, J. P., Boffetta, P., Little, J. et al. 2008. Assessment of cumulative evidence on genetic associations: Interim guidelines. International Journal of Epidemiology 37(1): 120-132.
21. Ioannidis, J. P., Trikalinos, T. A., Ntzani, E. E., and Contopoulos-Ioannidis, D. G. 2003. Genetic associations in large versus small studies: An empirical assessment. Lancet 361(9357): 567-571.
22. Khoury, M. J., Little, J., Gwinn, M., and Ioannidis, J. P. 2007. On the synthesis and interpretation of consistent but weak gene-disease associations in the era of genome-wide association studies. International Journal of Epidemiology 36(2): 439-445.
23. Manolio, T. A., Bailey-Wilson, J. E., and Collins, F. S. 2006. Genes, environment and the value of prospective cohort studies. Nature Reviews Genetics 7(10): 812-820.
24. McGuire, A., Cho, M. K., McGuire, S. E., and Caulfield, T. 2007. The future of personal genomics. Science 317(5845): 1687.
25. Moskvina, V., and Schmidt, K. M. 2008. On multiple-testing correction in genome-wide association studies. Genetic Epidemiology 32(6): 567-573.
26. Neale, B. M., and Sham, P. C. 2004. The future of association studies: Gene-based analysis and replication. American Journal of Human Genetics 75(3): 353-362.
27. Newton-Cheh, C., and Hirschhorn, J. N. 2005. Genetic association studies of complex traits: Design and analysis issues. Mutation Research 573(1-2): 54-69.
28. Page, G. P., George, V., Go, R. C., Page, P. Z., and Allison, D. B. 2003. "Are we there yet?": Deciding when one has demonstrated specific genetic causation in complex diseases and quantitative traits. American Journal of Human Genetics 73(4): 711-719.
29. Pearson, T. A., and Manolio, T. A. 2008. How to interpret a genomewide association study. Journal of the American Medical Association 299(11): 1335.
30. Risch, N., and Merikangas, K. 1996. The future of genetic studies of complex human diseases. Science 273(5281): 1516-1517.
31. Senn, S. 2001. Two cheers for P-values? Journal of Epidemiology and Biostatistics 6(2): 193-204; 205-210.
32. Todd, J. A. 2006. Statistical false positive or true disease pathway? Nature Genetics 38(7): 731-733.
33. Wessel, J., Schork, A. J., Tiwari, H. K., and Schork, N. J. 2007. Powerful designs for genetic association studies that consider twins and sibling pairs with discordant genotypes. Genetic Epidemiology 31(7): 789-796.