Estimation of genetic parameters using molecular markers and EM-algorithms

In this paper we present a new method for estimating genetic parameters of an F2- generation model. Using an iterative algorithm we derive explicit expressions for the Maximum Likelihood estimates of the additive and dominance effects. Finally we calculate the variance covariance matrix of our Maximum Likelihood estimates, which enables us to determine a confidence interval for the location of a quantitative trait locus.

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Year of publication:	1999
Authors:	Emrich, Katharina ; Wolfgang, Urfer
Institutions:	Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund
Subject:	molecular genetics \| Maximum Likelihood estimation \| EM and ECM algorithms \| variance-and covariance matrix of Maximum Likelihood estimates \| confidence intervals for genetic parameters

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Extent:	application/pdf
Series:	Technical Reports.
Type of publication:	Book / Working Paper
Notes:	Number 1999,48
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010955420