A novel approach to combining data from multiple linked loci is proposed that can provide substantial increases in power over normal two-point linkage analysis or sib-pair analysis, with a substantial saving in computing time over traditional multipoint methods. 1993 Wiley-Liss, Inc.
Power of the affected-sib-pair method for heterogeneous disorders
β Scribed by Lynn R. Goldin; Elliot S. Gershon; I. B. Borecki
- Publisher
- John Wiley and Sons
- Year
- 1988
- Tongue
- English
- Weight
- 505 KB
- Volume
- 5
- Category
- Article
- ISSN
- 0741-0395
No coin nor oath required. For personal study only.
β¦ Synopsis
We have examined the sample sizes required to detect linkage using the affectedsib-pair (ASP) method for major psychiatric disorders that are characterized by population prevalences of 1-7 % , decreased penetrance, phenocopies, and heterogeneity. In addition, the nature of these illnesses makes large, multigenerational pedigrees difficult to collect. We calculated the sample sizes needed to have 80% power of finding linkage (with a type I error rate of 5%) under dominant and recessive models with incomplete penetrance and allowing for recombination rates of up to 10% between the disease gene and marker gene. We have assumed that the identical-by-descent (IBD) status of ASPs is known exactly. For a disease like schizophrenia (1% population prevalence), if 50% of families are linked to a marker locus at 10% recombination, then 60 and 120 pairs are needed under recessive and dominant inheritance, respectively. For a disorder such as major affective disorder (7% population prevalence), the sample size is similar if the inheritance is recessive, but larger (160 pairs) if the inheritance is dominant. We conclude that this method may be a reasonable alternative for psychiatric disorders, especially to confirm that a linkage found in a specific pedigree or population isolate is also present in the general population.
Key w o r h linkage, heterogeneity, sample size
π SIMILAR VOLUMES
The purpose of this commentary is to provide a framework for using the well-known sib-pair methodology in the context of epidemiologic study designs. Using examples from the Pittsburgh family studies of insulin-dependent diabetes mellitus, we illustrate that the sib-pair method can be used in family
## Abstract It has been shown that twoβlocus linkage analysis can, for some twoβlocus disease models, be used to detect effects at disease loci that do not reach significance in a genome scan. However, few examples exist where twoβlocus linkage has been successfully used to map genes. We study the
## Abstract Previously applied test statistics for affected sib pairs (ASP) have been criticized for not fully exploiting the power of a given sample, because they do not account for incomplete informativity of an affected sib pair. To circumvent this problem, recently a new test had been proposed