ESTIMATION OF LINKAGE IN THE PRESENCE OF MULTIPLICATIVE VIABILITY EFFECTS | Zendy

Andrew G. Clark | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

ESTIMATION OF LINKAGE IN THE PRESENCE OF MULTIPLICATIVE VIABILITY EFFECTS

Author(s) -

Andrew G. Clark

Publication year - 1981

Publication title -

genetics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.792

H-Index - 246

eISSN - 1943-2631

pISSN - 0016-6731

DOI - 10.1093/genetics/99.1.157

Subject(s) - biology , multiplicative function , epistasis , crossover , locus (genetics) , genetics , statistics , backcrossing , linkage (software) , mathematics , gene , computer science , mathematical analysis , artificial intelligence

Log-linear analysis of contingency tables is applied to trihybrid backcross data to estimate linkage and viability. Whereas nonadditive viability differences perturb recombination estimates in the classical analysis, this statistical procedure yields maximum likelihood crossover frequency estimates in the presence of multiplicative viability effects. Other advantages of this method include: (1) estimation of viability effects of gene substitution at each locus, (2) estimation of asymptotic confidence intervals on recombination frequencies and viabilities, and (3) it tests the null hypothesis of no interference and no viability interactions. Extensions to cover more loci and to allow certain kinds of epistasis are easily made. Relative merits of the proposed and classical methods are discussed.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research