Bayesian model selection for multiple QTLs mapping combining linkage disequilibrium and linkage

DMLE+: Bayesian linkage disequilibrium gene mapping

SUMMARY The program DMLE+ allows Bayesian inference of the location of a gene carrying a mutation influencing a discrete trait (such as a disease) and/or other parameters of interest (such as mutation age) based on the observed linkage disequilibrium at multiple genetic markers. DMLE+ uses either individual marker genotypes, or haplotypes, integrates over uncertain population allele frequencies...

Bolck Linkage Disequilibrium Mapping

1. Abstract 2. Introduction 3. Models and methods 3.1. Haplotype block characterization 3.2. Measure of haplotype block LD 3.3. Test statistic and power calculation 3.4. Population genetic model of haplotype block 4. Results 4.1. Haplotype block LD measure 4.2. Power of the haplotype block LD mapping 4.3. Mapping 5. Discussion 6. Appendix 6.1. Appendix A 6.2. Appendix B 6.3. Appendix C 7. Refer...

Bayesian analysis of haplotypes for linkage disequilibrium mapping.

Haplotype analysis of disease chromosomes can help identify probable historical recombination events and localize disease mutations. Most available analyses use only marginal and pairwise allele frequency information. We have developed a Bayesian framework that utilizes full haplotype information to overcome various complications such as multiple founders, unphased chromosomes, data contaminati...

linkage disequilibrium and association mapping

A hidden markov model combining linkage and linkage disequilibrium information for haplotype reconstruction and quantitative trait locus fine mapping.

Faithful reconstruction of haplotypes from diploid marker data (phasing) is important for many kinds of genetic analyses, including mapping of trait loci, prediction of genomic breeding values, and identification of signatures of selection. In human genetics, phasing most often exploits population information (linkage disequilibrium), while in animal genetics the primary source of information i...