Developments in statistical analysis in quantitative genetics.

Genetica
Daniel Sorensen

Abstract

A remarkable research impetus has taken place in statistical genetics since the last World Conference. This has been stimulated by breakthroughs in molecular genetics, automated data-recording devices and computer-intensive statistical methods. The latter were revolutionized by the bootstrap and by Markov chain Monte Carlo (McMC). In this overview a number of specific areas are chosen to illustrate the enormous flexibility that McMC has provided for fitting models and exploring features of data that were previously inaccessible. The selected areas are inferences of the trajectories over time of genetic means and variances, models for the analysis of categorical and count data, the statistical genetics of a model postulating that environmental variance is partly under genetic control, and a short discussion of models that incorporate massive genetic marker information. We provide an overview of the application of McMC to study model fit, and finally, a discussion is presented on the development of efficient McMC updating schemes for non-standard models.

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Citations

Mar 25, 2011·Genetics Research·William G Hill, Han A Mulder
Mar 12, 2011·Genetics Research·Ye YangDaniel Sorensen
Apr 23, 2013·TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·Fabyano Fonseca E SilvaMarcos Deon Vilela de Resende
Oct 17, 2012·Nature Reviews. Microbiology·Nicholas K PriestRuth C Massey
May 10, 2017·Genetics·Jacqueline L Sztepanacz, Mark W Blows
Feb 8, 2020·Scientific Reports·Flavia Alves da SilvaLeonardo Siqueira Glória
Mar 5, 2021·PloS One·Marco Antônio PeixotoLeonardo Lopes Bhering

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