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Genetic simulation tools for post-genome wide association studies of complex diseases.

Publication ,  Journal Article
Chen, H-S; Hutter, CM; Mechanic, LE; Amos, CI; Bafna, V; Hauser, ER; Hernandez, RD; Li, C; Liberles, DA; McAllister, K; Moore, JH; Paltoo, DN ...
Published in: Genet Epidemiol
January 2015

Genetic simulation programs are used to model data under specified assumptions to facilitate the understanding and study of complex genetic systems. Standardized data sets generated using genetic simulation are essential for the development and application of novel analytical tools in genetic epidemiology studies. With continuing advances in high-throughput genomic technologies and generation and analysis of larger, more complex data sets, there is a need for updating current approaches in genetic simulation modeling. To provide a forum to address current and emerging challenges in this area, the National Cancer Institute (NCI) sponsored a workshop, entitled "Genetic Simulation Tools for Post-Genome Wide Association Studies of Complex Diseases" at the National Institutes of Health (NIH) in Bethesda, Maryland on March 11-12, 2014. The goals of the workshop were to (1) identify opportunities, challenges, and resource needs for the development and application of genetic simulation models; (2) improve the integration of tools for modeling and analysis of simulated data; and (3) foster collaborations to facilitate development and applications of genetic simulation. During the course of the meeting, the group identified challenges and opportunities for the science of simulation, software and methods development, and collaboration. This paper summarizes key discussions at the meeting, and highlights important challenges and opportunities to advance the field of genetic simulation.

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Published In

Genet Epidemiol

DOI

EISSN

1098-2272

Publication Date

January 2015

Volume

39

Issue

1

Start / End Page

11 / 19

Location

United States

Related Subject Headings

  • Software
  • Molecular Epidemiology
  • Models, Genetic
  • Humans
  • Genomics
  • Genome-Wide Association Study
  • Epidemiology
  • Disease
  • Computer Simulation
  • 4202 Epidemiology
 

Citation

APA
Chicago
ICMJE
MLA
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Chen, H.-S., Hutter, C. M., Mechanic, L. E., Amos, C. I., Bafna, V., Hauser, E. R., … Feuer, E. J. (2015). Genetic simulation tools for post-genome wide association studies of complex diseases. Genet Epidemiol, 39(1), 11–19. https://doi.org/10.1002/gepi.21870
Chen, Huann-Sheng, Carolyn M. Hutter, Leah E. Mechanic, Christopher I. Amos, Vineet Bafna, Elizabeth R. Hauser, Ryan D. Hernandez, et al. “Genetic simulation tools for post-genome wide association studies of complex diseases.Genet Epidemiol 39, no. 1 (January 2015): 11–19. https://doi.org/10.1002/gepi.21870.
Chen H-S, Hutter CM, Mechanic LE, Amos CI, Bafna V, Hauser ER, et al. Genetic simulation tools for post-genome wide association studies of complex diseases. Genet Epidemiol. 2015 Jan;39(1):11–9.
Chen, Huann-Sheng, et al. “Genetic simulation tools for post-genome wide association studies of complex diseases.Genet Epidemiol, vol. 39, no. 1, Jan. 2015, pp. 11–19. Pubmed, doi:10.1002/gepi.21870.
Chen H-S, Hutter CM, Mechanic LE, Amos CI, Bafna V, Hauser ER, Hernandez RD, Li C, Liberles DA, McAllister K, Moore JH, Paltoo DN, Papanicolaou GJ, Peng B, Ritchie MD, Rosenfeld G, Witte JS, Gillanders EM, Feuer EJ. Genetic simulation tools for post-genome wide association studies of complex diseases. Genet Epidemiol. 2015 Jan;39(1):11–19.
Journal cover image

Published In

Genet Epidemiol

DOI

EISSN

1098-2272

Publication Date

January 2015

Volume

39

Issue

1

Start / End Page

11 / 19

Location

United States

Related Subject Headings

  • Software
  • Molecular Epidemiology
  • Models, Genetic
  • Humans
  • Genomics
  • Genome-Wide Association Study
  • Epidemiology
  • Disease
  • Computer Simulation
  • 4202 Epidemiology