COMPARISON OF SEQUENTIAL AND FIXED-STRUCTURE SAMPLING OF PEDIGREES IN COMPLEX SEGREGATION ANALYSIS OF A QUANTITATIVE TRAIT
- 1 September 1988
- journal article
- research article
- Vol. 43 (3) , 336-343
Abstract
In designing a study to demonstrate the existence of a major locus for a quantitative trait, an investigator chooses a sampling rule to ascertain pedigrees. The choice of sampling rule can significantly affect the study''s power. Here, we compare two types of sampling rules for family studies: fixed-structure rules, in which the same set of relatives are sampled for each proband, and sequential rules, in which the relative or relatives to be sampled next may depend on the trait values of the individuals already observed. We compare fixed-structure and sequential sampling in the setting of extended pedigrees, a quantitative trait, and the genetic mixed model. Using computer simulation, we show that sequential sampling can increase power to detect segregation at a dominant major locus by over 60% in comparison with fixed-structure sampling. Just as important, this substantially increased power is obtained with an easily implemented sampling rule, one that might reasonably be employed in a family study of a quantitative trait.This publication has 9 references indexed in Scilit:
- Ascertainment and goodness of fit of variance component models for pedigree data.1984
- COMPARISONS OF DIFFERENT SAMPLING DESIGNS FOR THE DETERMINATION OF GENETIC TRANSMISSION MECHANISMS IN QUANTITATIVE TRAITS1984
- Extensions to multivariate normal models for pedigree analysisAnnals of Human Genetics, 1982
- A mixed-model likelihood approximation on large pedigreesComputers and Biomedical Research, 1982
- OPTIMAL SAMPLING FOR PEDIGREE ANALYSIS - RELATIVES OF AFFECTED PROBANDS1981
- Ascertainment in the sequential sampling of pedigreesClinical Genetics, 1977
- Extensions to pedigree analysis III. Variance components by the scoring methodAnnals of Human Genetics, 1976
- Analysis of family resemblance. 3. Complex segregation of quantitative traits.1974
- A General Model for the Genetic Analysis of Pedigree DataHuman Heredity, 1971