The Gloomy Prospect Wins: Statistical Significance and Population Stratification in Genome Wide Association Studies
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- Department of Psychology, University of Virginia
- Document Type:
- Presentation
- Date:
- Received 12 December 2008 00:35 UTC; Posted 15 December 2008
- Subjects:
- Genetics & Genomics
- Abstract:
This one-hour lecture by Dr. Eric Turkheimer of the University of Virginia’s Department of Psychology explored the following:
The contemporary era has seen a convergence of genomic technology and traditional social scientific concerns with complex human individual differences. Rather than finally turning social science into a replicable hard-scientific enterprise, genomics has gotten bogged down in the long-standing frustrations of social science. A recent report of an extensive genome wide association study of human height demonstrates the profound difficulties of explaining uncontrolled human variation at a genomic level. The statistical technologies that have been brought to bear on the problem of genomic association are simply modifications of similar methods that have been used by social scientists for decades, with little success. The motivation for the statistical methods in genomics is the same as it is in traditional social science: An attempt to discern linear causation in complex systems when experimental control is not possible.
For an audio recording of Dr. Turkheimer’s lecture, please visit http://cirge.stanford.edu/activities/events.html.
- Presented at:
- Stanford University: CIRGE Event , 08 September 2008
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Additional information
- License:
- This document is licensed to the public under the Creative Commons Attribution 3.0 License
- How to cite this document:
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Turkheimer, Eric. The Gloomy Prospect Wins: Statistical Significance and Population Stratification in Genome Wide Association Studies. Available from Nature Precedings <http://dx.doi.org/10.1038/npre.2008.2642.1> (2008)
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