Literature DB >> 18565989

ForSim: a tool for exploring the genetic architecture of complex traits with controlled truth.

Brian W Lambert1, Joseph D Terwilliger, Kenneth M Weiss.   

Abstract

UNLABELLED: Many important problems in biology involve complex traits affected by multiple coding or regulatory parts of the genome. How well the underlying genetic architecture can be inferred by statistical methods such as mapping and association studies are active research areas. ForSim is a flexible forward evolutionary simulation tool for exploring the consequences of evolution by phenotype, whereby demographic, chance, behavioral and selective effects mold genetic architecture. Simulation is useful for exploring these issues as well as the choice of study design inferential methods. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Mesh：

Year:  2008        PMID： 18565989      PMCID： PMC2732213          DOI： 10.1093/bioinformatics/btn317

Source DB:  PubMed          Journal:  Bioinformatics        ISSN： 1367-4803            Impact factor:   6.937


  3 in total

1.  Sequence-level population simulations over large genomic regions.

Authors:  Clive J Hoggart; Marc Chadeau-Hyam; Taane G Clark; Riccardo Lampariello; John C Whittaker; Maria De Iorio; David J Balding
Journal:  Genetics       Date:  2007-10-18       Impact factor: 4.562

2.  The coalescent process in models with selection and recombination.

Authors:  R R Hudson; N L Kaplan
Journal:  Genetics       Date:  1988-11       Impact factor: 4.562

3.  Forward-time simulations of human populations with complex diseases.

Authors:  Bo Peng; Christopher I Amos; Marek Kimmel
Journal:  PLoS Genet       Date:  2007-02-15       Impact factor: 5.917
  3 in total
  32 in total

Review 1.  An overview of population genetic data simulation.

Authors:  Xiguo Yuan; David J Miller; Junying Zhang; David Herrington; Yue Wang
Journal:  J Comput Biol       Date:  2011-12-09       Impact factor: 1.479

2.  Family-based association studies for next-generation sequencing.

Authors:  Yun Zhu; Momiao Xiong
Journal:  Am J Hum Genet       Date:  2012-06-08       Impact factor: 11.025

3.  Simulating sequences of the human genome with rare variants.

Authors:  Bo Peng; Xiaoming Liu
Journal:  Hum Hered       Date:  2011-01-06       Impact factor: 0.444

4.  Simulation of DNA sequence evolution under models of recent directional selection.

Authors:  Yuseob Kim; Thomas Wiehe
Journal:  Brief Bioinform       Date:  2008-12-24       Impact factor: 11.622

Review 5.  Tilting at quixotic trait loci (QTL): an evolutionary perspective on genetic causation.

Authors:  Kenneth M Weiss
Journal:  Genetics       Date:  2008-08       Impact factor: 4.562

6.  PSEUDOMARKER: a powerful program for joint linkage and/or linkage disequilibrium analysis on mixtures of singletons and related individuals.

Authors:  Tero Hiekkalinna; Alejandro A Schäffer; Brian Lambert; Petri Norrgrann; Harald H H Göring; Joseph D Terwilliger
Journal:  Hum Hered       Date:  2011-07-28       Impact factor: 0.444

7.  HAPGEN2: simulation of multiple disease SNPs.

Authors:  Zhan Su; Jonathan Marchini; Peter Donnelly
Journal:  Bioinformatics       Date:  2011-06-08       Impact factor: 6.937

8.  On the statistical properties of family-based association tests in datasets containing both pedigrees and unrelated case-control samples.

Authors:  Tero Hiekkalinna; Harald H H Göring; Brian Lambert; Kenneth M Weiss; Petri Norrgrann; Alejandro A Schäffer; Joseph D Terwilliger
Journal:  Eur J Hum Genet       Date:  2011-09-21       Impact factor: 4.246

9.  Simulation of genes and genomes forward in time.

Authors:  Antonio Carvajal-Rodríguez
Journal:  Curr Genomics       Date:  2010-03       Impact factor: 2.236

10.  Forward-time simulation of realistic samples for genome-wide association studies.

Authors:  Bo Peng; Christopher I Amos
Journal:  BMC Bioinformatics       Date:  2010-09-01       Impact factor: 3.169
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