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- Title
Unifying ideas for non-parametric linkage analysis.
- Authors
Day-Williams, Aaron G; Blangero, John; Dyer, Thomas D; Lange, Kenneth; Sobel, Eric M
- Abstract
Non-parametric linkage analysis (NPL) exploits marker allele sharing among affected relatives to map genes influencing complex traits. Computational barriers force approximate analysis on large pedigrees and the adoption of a questionable perfect data assumption (PDA) in assigning p values. To improve NPL significance testing on large pedigrees, we examine the adverse consequences of missing data and PDA. We also introduce a novel statistic, Q-NPL, appropriate for NPL analysis of quantitative traits.
- Publication
Human heredity, 2011, Vol 71, Issue 4, p267
- ISSN
1423-0062
- Publication type
Journal Article
- DOI
10.1159/000323752