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Related Experiment Videos

SimPed: a simulation program to generate haplotype and genotype data for pedigree structures.

Suzanne M Leal1, Kai Yan, Bertram Müller-Myhsok

  • 1Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, N1619.01, Houston, TX 77025, USA. sleal@bcm.tmc.edu

Human Heredity
|October 15, 2005
PubMed
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SimPed is a new program that generates large-scale genetic haplotype and genotype data for pedigrees. This tool aids in analyzing linkage disequilibrium and evaluating genetic analysis methods for complex family structures.

Area of Science:

  • Genetics
  • Bioinformatics
  • Computational Biology

Background:

  • Single nucleotide polymorphism (SNP) genotype data is widely available, increasing interest in pedigree haplotype analysis.
  • Dense SNP maps can exhibit strong linkage disequilibrium (LD) between marker loci, necessitating advanced analytical tools.
  • Current linkage and family-based association studies utilize dense SNP data, often employing Monte Carlo methods.

Purpose of the Study:

  • To introduce SimPed, a novel program for generating large-scale haplotype and genotype data for complex pedigrees.
  • To provide a computational tool capable of simulating marker data under various conditions, including linkage disequilibrium and equilibrium.
  • To support the evaluation of statistical methods for genetic analysis in family studies.

Main Methods:

Related Experiment Videos

  • SimPed generates haplotype and/or genotype data for pedigrees of any size and complexity.
  • The program can simulate data for over 20,000 diallelic or multiallelic marker loci.
  • Data simulation incorporates specified genetic map distances and haplotype/allele frequencies, allowing for control over linkage disequilibrium.

Main Results:

  • SimPed efficiently generates large datasets of simulated pedigree genetic data.
  • The simulated data can represent markers in both linkage disequilibrium and equilibrium.
  • The program is capable of handling complex pedigree structures and a high number of marker loci.

Conclusions:

  • SimPed provides a valuable resource for researchers conducting genetic analyses on pedigree data.
  • The generated simulated data is crucial for evaluating methods for haplotype frequency estimation and assessing type I error rates.
  • SimPed facilitates the estimation of empirical p-values for linkage and family-based association studies.