Literature DB >> 22963363

LDSO: a program to simulate pedigrees and molecular information under various evolutionary forces.

F Ytournel1, S Teyssèdre, D Roldan, M Erbe, H Simianer, D Boichard, H Gilbert, T Druet, A Legarra.   

Abstract

Simulations are a major tool to evaluate new statistical methods and optimize experimental designs in the genomic era. However, this can only be achieved when the simulations are close enough to reality, as well as diverse enough to be realistic. For mapping studies, it is thus critical to re-create as much as possible the forces generating linkage (mutation, random drift, changes in population sizes, selection and pedigree structure) and the mechanisms producing trait genetic architecture (additivity, dominance, epistasis). We present here a computer program (ldso) simulating these phenomena. Optional outputs provide statistics on the linkage disequilibrium (LD) structure and the identity by descent between chromosomal segments, facilitating further data analyses. Furthermore, ldso enables the simulation of genomic data in known pedigrees, which sticks as precisely as possible to recent population history and structures of the long-range LD, allowing optimization of fine-mapping strategies.
© 2012 Blackwell Verlag GmbH.

Mesh:

Year:  2012        PMID: 22963363     DOI: 10.1111/j.1439-0388.2011.00986.x

Source DB:  PubMed          Journal:  J Anim Breed Genet        ISSN: 0931-2668            Impact factor:   2.380


  4 in total

1.  XVth QTLMAS: simulated dataset.

Authors:  Jean-Michel Elsen; Simon Tesseydre; Olivier Filangi; Pascale Le Roy; Olivier Demeure
Journal:  BMC Proc       Date:  2012-05-21

2.  CLIP Test: a new fast, simple and powerful method to distinguish between linked or pleiotropic quantitative trait loci in linkage disequilibria analysis.

Authors:  I David; J-M Elsen; D Concordet
Journal:  Heredity (Edinb)       Date:  2012-12-19       Impact factor: 3.821

3.  Using haplotypes for the prediction of allelic identity to fine-map QTL: characterization and properties.

Authors:  Laval Jacquin; Jean-Michel Elsen; Hélène Gilbert
Journal:  Genet Sel Evol       Date:  2014-07-14       Impact factor: 4.297

4.  Fine-mapping quantitative trait loci with a medium density marker panel: efficiency of population structures and comparison of linkage disequilibrium linkage analysis models.

Authors:  Dana L Roldan; Hélène Gilbert; John M Henshall; Andrés Legarra; Jean-Michel Elsen
Journal:  Genet Res (Camb)       Date:  2012-08       Impact factor: 1.588

  4 in total

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