Abstract
Previously we showed that a statistically robust version of the sib-pair method greatly increased power to detect linkage in the presence of outliers. In this paper we report on M-estimation to accommodate outliers in the variance-components approach to linkage analysis developed by Amos. Simulations show that in the presence of outliers the robust variance-components approach provides substantially greater power, more precise estimation of heritabilities, and better false-positive rates than the original Gaussian based approach. In the absence of outliers the performance of the robust variance-components approach is similar to that of the Gaussian based approach. For illustration we apply the method to two well characterized lipoprotein systems.
Original language | English (US) |
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Pages (from-to) | 249-262 |
Number of pages | 14 |
Journal | Annals of Human Genetics |
Volume | 63 |
Issue number | 3 |
DOIs | |
State | Published - May 1999 |
ASJC Scopus subject areas
- Genetics
- Genetics(clinical)