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Mapping quantitative trait loci in oligogenic models.
Tang, H K; Siegmund, D.
Affiliation
  • Tang HK; Department of Statistics, 390 Serra Mall, Sequoia Hall, Stanford University, Stanford, CA 94305-4065, USA. dos@stat.stanford.edu
Biostatistics ; 2(2): 147-62, 2001 Jun.
Article in En | MEDLINE | ID: mdl-12933546
ABSTRACT
We discuss strategies for mapping quantitative trait loci with emphasis on certain issues of study design that have recently received attention e.g. genotyping only selected pedigrees and the comparative value of large pedigrees versus sib pairs. We use a standard variance components model and a parametrization of the genetic effects in which the 'segregation' parameters are locally orthogonal to the 'linkage' parameters. This permits simple explicit expressions for the expectation of the score statistic, which we use to compare the power of different strategies. We also discuss robustness of the score statistic.
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Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Biostatistics Year: 2001 Document type: Article Affiliation country: United States
Search on Google
Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Biostatistics Year: 2001 Document type: Article Affiliation country: United States