Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 1 de 1
Filter
1.
Indian J Hum Genet ; 2011 May; 17(Suppl 1): 27-31
Article in English | IMSEAR | ID: sea-138981

ABSTRACT

BACKGROUND: There are two major classes of genetic association analyses: population based and family based. Population-based case–control studies have been the method of choice due to the ease of data collection. However, population stratification is one of the major limitations of case–control studies, while family-based studies are protected against stratification. In this study, we carry out extensive simulations under different disease models (both Mendelian as well as complex) to evaluate the relative powers of the two approaches in detecting association. MATERIALS AND METHODS: The power comparisons are based on a case–control design comprising 200 cases and 200 controls versus a Transmission Disequilibrium Test (TDT) or Pedigree Disequilibrium Test (PDT) design with 200 informative trios. We perform the allele-level test for case–control studies, which is based on the difference of allele frequencies at a single nucleotide polymorphism (SNP) between unrelated cases and controls. The TDT and the PDT are based on preferential allelic transmissions at a SNP from heterozygous parents to the affected offspring. We considered five disease modes of inheritance: (i) recessive with complete penetrance (ii) dominant with complete penetrance and (iii), (iv) and (v) complex diseases with varying levels of penetrances and phenocopies. RESULTS: We find that while the TDT/PDT design with 200 informative trios is in general more powerful than a case–control design with 200 cases and 200 controls (except when the heterozygosity at the marker locus is high), it may be necessary to sample a very large number of trios to obtain the requisite number of informative families. CONCLUSION: The current study provides insights into power comparisons between population-based and family-based association studies.


Subject(s)
Algorithms , Case-Control Studies , Chromosome Mapping , Databases, Factual , Genetic Diseases, Inborn/genetics , Genotype , Humans , Linkage Disequilibrium/genetics , Population Groups , Research Design
SELECTION OF CITATIONS
SEARCH DETAIL