Power assessment for genetic association study of human longevity using offspring of long-lived subjects.
Recently, an indirect genetic association approach that compares genotype frequencies in offspring of long-lived subjects and offspring from random families has been introduced to study gene-longevity associations. Although the indirect genetic association has certain advantages over the direct association approach that compares genotype frequency between centenarians and young controls, the power has been of concern. This paper reports a power study performed on the indirect approach using computer simulation. We perform our simulation study by introducing the current Danish population life table and the proportional hazard model for generating individual lifespan. Family genotype data is generated using a genetic linkage program for given SNP allele frequency. Power is estimated by setting the type I error rate at 0.05 and by calculating the Armitage's chi-squared test statistic for 200 replicate samples for each setting of the specified allele risk and frequency parameters under different modes of inheritance and for different sample sizes. The indirect genetic association analysis is a valid approach for studying gene-longevity association, but the sample size requirement is about 3-4 time larger than the direct approach. It also has low power in detecting non-additive effect genes. Indirect genetic association using offspring from families with both parents as nonagenarians is nearly as powerful as using offspring from families with one centenarian parent. In conclusion, the indirect design can be a good choice for studying longevity in comparison with other alternatives, when relatively large sample size is available.
Tan
Qihua
Q
Epidemiology, Institute of Public Health, University of Southern Denmark, Winsløws Vej 9B, 5000, Odense, Denmark. qtan@health.sdu.dk
Zhao
Jing Hua
JH
Li
Shuxia
S
Kruse
Torben A
TA
Christensen
Kaare
K
D003198:Computer Simulation; D003718:Denmark; D005787:Gene Frequency; D056726:Genetic Association Studies / Q000379:methods*; D006801:Humans; D008136:Longevity / Q000235:genetics*; D010375:Pedigree; D020641:Polymorphism, Single Nucleotide