Recent analytic and technological breakthroughs have set the stage for genome-wide linkage disequilibrium studies to map disease-susceptibility variants. This paper discusses a probabilistic methodology for making disease-mapping inferences in large-scale case-control genetic studies. The...

Most findings from genome-wide association studies (GWAS) are consistent with a simple disease model at a singel nucleotide polymorphism, in which each additional copy of the risk allele increases risk by the same multiplicative factor, in contrast to dominance or interaction effects. As others...

A composite-conditional-likelihood (CCL) approach is proposed to map the position of a trait-influencing mutation (TIM) using the ancestral recombination graph (ARG) and importance sampling to reconstruct the genealogy of DNA sequences with respect to windows of marker loci and predict the...

The extent and pattern of linkage disequilibrium (LD) determine the feasibility of association studies to map genes that underlie complex traits. Here we present a statistical algorithm for constructing a joint linkage-linkage disequilibrium map by simultaneously estimating the recombination...

The allelic association or linkage disequilibrium between two loci is a parameter of fundamental interest in modern population genetics for evolutionary inference and association mapping studies. Among the many measures available, the optimal measure of allelic association ρ presents a strong...

Penna model of ageing predicts many phenomena in population dynamics. Since the model assumes that all genes in genomes are switched on chronologically and that there are no structural differences between male and female genomes, it cannot explain genetic death before birth and differences in...

Plasma HIV-1 RNA levels and CD4⁺ T cell counts in patients are associated with their progression rates to AIDS. After initiation of highly active antiretroviral therapy, these two variables display time-dependent dynamic changes with particular patterns well described by mathematical functions....