Approaches to Handling Incomplete Data in Family-based Association Testing
Article first published online: 10 NOV 2006
Annals of Human Genetics
Volume 71, Issue 2, pages 141–151, March 2007
How to Cite
Van Steen, K., Laird, N. M., Markel, P. and Molenberghs, G. (2007), Approaches to Handling Incomplete Data in Family-based Association Testing. Annals of Human Genetics, 71: 141–151. doi: 10.1111/j.1469-1809.2006.00325.x
- Issue published online: 10 NOV 2006
- Article first published online: 10 NOV 2006
- Received: 30 January 2006 Accepted: 08 September 2006
- Missing Data;
- Family Designs;
- Genetic Association Tests
The high throughput of data arising from the complete sequence of the human genome has left statistical geneticists with a rich and extensive information source. The wide availability of software and the increase in computing power has improved the possibilities to access and process such data. One problem is incompleteness of the data: unobserved or partially observed data points due to technical reasons or reasons associated with the patient's status or erroneous measurements of phenotype or genotype, to name a few. When not properly accounted for, these sources of incompleteness may seriously jeopardize the credibility of results from analyses.
In this paper we provide some perspectives on the occurrence and analysis of different forms of incomplete data in family-based genetic association testing.