An extension of the weighted dissimilarity test to association study in families.
Association studies for complex diseases based on pedigree haplotype or genotype data have received increasing attention in the last few years. The similarity tests are appealing for these studies because they take into account of the DNA structure, but they have blind areas on which significant association can not be detected. Recently, we developed a dissimilarity method for this problem based on independent haplotype data, which eliminates the blind areas of the existing methods. As DNA collected on families are common in practice, and the data are either of the form of genotype or haplotype. Here we extend our method for association study to data on families. It can be used to evaluate different designs in terms of power. Simulation studies confirmed that the extended method improves the type I error rate and power. Applying this method to the Genetic Analysis Workshop 14 alcoholism data, we find that markers rs716581, rs1017418, rs1332184 and rs1943418 on chromosomes 1, 2, 9 and 18 yield strong signal (with P value 0.001 or lower) for association with alcoholism. Our work can serve as a guide in the design of association studies in families.
Yuan
Ao
A
National Human Genome Center, Department of Community Health and Family Medicine, Howard University, Washington, DC 20059, USA. ayuan@howard.edu
Yue
Qingqi
Q
Apprey
Victor
V
Bonney
George
G
D000437:Alcoholism / Q000235:genetics; D001483:Base Sequence; D003198:Computer Simulation; D005190:Family; D005787:Gene Frequency; D008040:Genetic Linkage / Q000502:physiology; D005820:Genetic Testing / Q000379:methods*; D005828:Genetics, Population / Q000379:methods*; D006239:Haplotypes; D006801:Humans; D040582:Inheritance Patterns; D015810:Linkage Disequilibrium; D008957:Models, Genetic; D011110:Polymorphism, Genetic