Linkage analysis of large families, in the new era of dense marker sets
The search for genetic determinants of disease is evolving quickly with the price of genotyping dropping at a great rate. Many genome wide association studies with dense marker sets and many cases are currently being proposed. This will cover the search for common, disease-linked variants. The search for rare variants, via linkage analysis, stands to benefit from the availability of dense marker sets as well.
It is now cost efficient to genotype many cases in a large pedigree. As yet, the current methods of linkage analysis for a genome wide scan on large families are computationally prohibitive. We propose a case pair-by-pair, approximate multipoint linkage approach. We demonstrate the sensitivity and specificity of this method through the simulation of pedigree data with the use of HapMap data. Through these simulations, we show that the approximation becomes negligible for dense marker sets (>50k).