Background: Accurately modeling LD in simulations is essential to correctly evaluate new and existing association methods. At present, there has been minimal research comparing the quality of existing gene region simulation methods to produce LD structures similar to an existing gene region. Here we compare the ability of three approaches to accurately simulate the LD within a gene region: HapSim (2005), Hapgen (2009), and a minor extension to simple haplotype resampling. <p/>Methodology/Principal Findings: In order to observe the variation and bias for each method, we compare the simulated pairwise LD measures and minor allele frequencies to the original HapMap data in an extensive simulation study. When possible, we also evaluate...
<p>500 simulations were based on haplotype distribution for each of 13 deep sequenced candidate gene...
International audienceObjective: Assessing the statistical power to detect susceptibility variants p...
The arrival of publicly available genome-wide variation data is creating new opportunities for recon...
<div><h3>Background</h3><p>Accurately modeling LD in simulations is essential to correctly evaluate ...
<p>Histograms of the change in simulated LD from original LD for each pair of SNPs in Gene Region 2 ...
*<p>Change in simulated LD from original HapMap sample LD for each pair of SNPs in Gene Region 2 (LD...
<p>Haplotypes were simulated at ‘average’ human protein-coding genes drawn from the center of the di...
<i>Objective:</i> Assessing the statistical power to detect susceptibility variants plays a critical...
Several recent studies have suggested that linkage disequilibrium (LD) in the human genome has a fun...
Controlling the type I error rate while retaining sufficient power is a major concern in genome-wide...
Abstract Background With the completion of the HapMap project, a variety of computational algorithms...
Gene-based tests of association are frequently applied to common SNPs (MAF>5%) as an alternative to ...
Controlling the type I error rate while retaining sufficient power is a major concern in genome-wide...
Motivation: Fine mapping is a widely used approach for identifying the causal variant(s) at disease-...
International audienceObjective: Assessing the statistical power to detect susceptibility variants p...
<p>500 simulations were based on haplotype distribution for each of 13 deep sequenced candidate gene...
International audienceObjective: Assessing the statistical power to detect susceptibility variants p...
The arrival of publicly available genome-wide variation data is creating new opportunities for recon...
<div><h3>Background</h3><p>Accurately modeling LD in simulations is essential to correctly evaluate ...
<p>Histograms of the change in simulated LD from original LD for each pair of SNPs in Gene Region 2 ...
*<p>Change in simulated LD from original HapMap sample LD for each pair of SNPs in Gene Region 2 (LD...
<p>Haplotypes were simulated at ‘average’ human protein-coding genes drawn from the center of the di...
<i>Objective:</i> Assessing the statistical power to detect susceptibility variants plays a critical...
Several recent studies have suggested that linkage disequilibrium (LD) in the human genome has a fun...
Controlling the type I error rate while retaining sufficient power is a major concern in genome-wide...
Abstract Background With the completion of the HapMap project, a variety of computational algorithms...
Gene-based tests of association are frequently applied to common SNPs (MAF>5%) as an alternative to ...
Controlling the type I error rate while retaining sufficient power is a major concern in genome-wide...
Motivation: Fine mapping is a widely used approach for identifying the causal variant(s) at disease-...
International audienceObjective: Assessing the statistical power to detect susceptibility variants p...
<p>500 simulations were based on haplotype distribution for each of 13 deep sequenced candidate gene...
International audienceObjective: Assessing the statistical power to detect susceptibility variants p...
The arrival of publicly available genome-wide variation data is creating new opportunities for recon...