Models and Estimation of Genetic Effects


Ronald Fisher needed to develop elaborate models of genetic effects in order to set the foundations of Quantitative Genetics in his 1918 paper “The correlation between relatives on the supposition of Mendelian inheritance”. Since then, many significant implementations have been made to model genetic effects. However, at the verge of one century after Fisher’s kick-off, models of genetic effects keep on being discussed and implemented. Indeed, the relatively recent advent of QTL analyses challenged the state of the art of this field by providing researchers the opportunity to obtain and analyze estimates of genetic effects from real data. In this context, the development of this field was not exempt of some polemics, like the debate about the convenience of the functional and the statistical epistasis approaches. This research topic is meant to provide recent developments in models of genetic effects and to enrich the discussion about how and why models of genetic effects must be further developed and applied.

The articles in this Research Topic shall thus extend, refine and/or provide a refresh look at Fisher’s original models of genetic effects and their application to improve our understanding of evolutionary processes and breeding programs. In particular, we welcome contributions that explore research topics including (but certainly not limited to):

(1) Strategies to conceptualize and unify functional and statistical genetic effects,

(2) Statistical methods and models for studying interaction effects like dominance, epistasis, imprinting and gene-environment interactions,

(3) Novel genetic models and methods for handling a large number of genetic effects from a high-density panel and

(4) Novel methods of analysis based on previously published models of genetic effects.

All type of articles may be submitted for this Research Topic. Submissions can be done either at Editorial tracking system or through mail to

Media Contact:

Kathy Andrews
Managing Editor
Journal of Genomics & Gene Study