A comparative study of sibship tests of linkage and/or association.
Population-based tests of association have used data from either case-control studies or studies based on trios (affected child and parents). Case-control studies are more prone to false-positive results caused by inappropriate controls, which can occur if, for example, there is population admixture or stratification. An advantage of family-based tests is that cases and controls are well matched, but parental data may not always be available, especially for late-onset diseases. Three recent family-based tests of association and linkage utilize unaffected siblings as surrogates for untyped parents. In this paper, we propose an extension of one of these tests. We describe and compare the four tests in the context of a complex disease for both biallelic and multiallelic markers, as well as for sibships of different sizes. We also examine the consequences of having some parental data in the sample.
Monks
S A
SA
Biostatistics Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA. monks@stat.ncsu.edu
Kaplan
N L
NL
Weir
B S
BS
D000483:Alleles; D016022:Case-Control Studies; D005189:False Positive Reactions; D030342:Genetic Diseases, Inborn / Q000235:genetics*; D008040:Genetic Linkage; D005819:Genetic Markers; D008957:Models, Genetic; D015233:Models, Statistical; D009010:Monte Carlo Method; D009679:Nuclear Family; D010290:Parents; D012107:Research Design
D005819:Genetic Markers