Comparison of model-free linkage mapping strategies for the study of a complex trait.
We compared several strategies for identifying and estimating effects from a genetic locus in the etiology of a complex trait. For our analyses we used data from simulated trait 1 and chromosome 5. Results from analysis of the first 20 replicates showed that a components of variance test provided considerably better power for identifying linkage than tests that consider pair differences. We also compared the power from constructing tests with a single marker, an approximate method using five markers jointly, or a multipoint analysis using all 25 markers on chromosome 5 jointly. Results from this analysis showed substantially better power when all markers were jointly used in the analysis. Results from considering all replicates showed that all methods of estimation provided maximal test statistics at the correct marker position, but the components of variance procedure provided more power to detect the correct position than other methods.
Amos
C I
CI
Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston 77005, USA.
Krushkal
J
J
Thiel
T J
TJ
Young
A
A
Zhu
D K
DK
Boerwinkle
E
E
de Andrade
M
M
D000704:Analysis of Variance; D002874:Chromosome Mapping / Q000379:methods; D002895:Chromosomes, Human, Pair 5; D005260:Female; D008040:Genetic Linkage; D005819:Genetic Markers; D006801:Humans; D016013:Likelihood Functions; D008126:Lod Score; D008297:Male; D008957:Models, Genetic; D019655:Quantitative Trait, Heritable
D005819:Genetic Markers