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02. Alternative Energy
03. Computer Power
04. Nanotechnology
05. Stem Cells
06. Communications
07. Hydrocarbon Use
08. Clean Transportation
09. Online Information
10. DNA Decoding
11. Cell Biology
12. Photonics
13. Proteomics
14. Quantum Physics
15. Genetic Modification
16. Degrading Oceans
17. Robotics
18. Nanomedicine
19. Neuroscience
20. Extending Lifespan
21. Overpopulation
22. Scientific Instruments
23. Synthetic Biology
24. Nuclear Physics
25. Artificial Intelligence
26. Body Implants
27. Major Disease Cures
28. Water Shortage
29. Species Loss
30. Brain Enhancement
31. Origin of Life
32. Sensor Technology
33. Pandemics
34. Exogenous Life
35. Dark Matters
36. Cosmology
37. Energy Storage
38. Virtual/Augmented Reality
39. Space Exploration
40. Impact Event
Impact Areas listed in order of ranking

Gene variants for living to 100 identified
Under the heading, “Research Ripe for Over-interpretation” a team of scientists from the Boston University Schools of Public Health and Medicine and the Boston Medical Center have published in the July 1, 2010 issue of the journal Science a paper identifying a suite of gene variants that can be used to predict whether people can live to 90 years and beyond. Actually, the study is quite circumspect. It was based on genome wide analysis of over 1,000 centenarians, people 100 years of age or more; and the identification of 150 significant gene segments (called single nucleotide polymorphisms or SNPs) that appear to be associated with people who live to 90 or more. At least, on superficial interpretation, that’s what the study reports. Here, in bullet-points, are other things it says:
- The 150 gene ‘markers’ were accurate in predicting longevity 77% of the time. (That’s pretty good, but obviously not perfect.)
- The oldest people, those at 110 or over, were the most likely to have the best prediction rate.
- The researchers developed new statistical techniques (Bayesian, mostly) that could be used to analyze similar gene variant patterns. (This may actually turn out to be one of the more important contributions of the study.)
- The study also analyzed the data for a correlation between the ‘longevity genes’ and the lack of gene variants associated with diseases, but found that people with longevity variants and the control group had about the same number of disease gene variants.
- The study called for specific research into how (and why) these specific SNPs are related to longevity. (That is a fuzzy area for genome-wide research. It provides interesting correlations, but the explanations will have to come much later after laborious research.)
- The presence of these gene variants does not override the importance of environmental and life-style factors in living to an old age. (If you get run over by a truck, they don’t matter. Ditto for smoking, drinking, and eating to excess.)
The authors of the study are (rightly) careful:
Will we someday (soon) ask, “You got gerontogenes?”