Consistency in Genetic Models of the Sexy Son: Reply to Curtsinger and Heisler

1988 ◽  
Vol 132 (4) ◽  
pp. 609-610 ◽  
Author(s):  
Mark Kirkpatrick
Keyword(s):  
Genetic Models ◽  
Sexy Son

Simulation Comparisons of Effectiveness among QTL Mapping Procedures of Different Statistical Genetic Models

2010 ◽  
Vol 36 (7) ◽  
pp. 1100-1107 ◽  
Author(s):  
Cheng-Fu SU ◽  
Tuan-Jie ZHAO ◽  
Jun-Yi GAI
Keyword(s):  
Qtl Mapping ◽  
Genetic Models

A Diploid "Sexy Son" Model

1988 ◽  
Vol 132 (3) ◽  
pp. 437-453 ◽  
Author(s):  
James W. Curtsinger ◽  
I. Lorraine Heisler
Keyword(s):  
Sexy Son

scholarly journals Maximum Likelihood Analysis of Rare Binary Traits Under Different Modes of Inheritance

Genetics ◽  
1996 ◽  
Vol 143 (4) ◽  
pp. 1819-1829 ◽  
Author(s):  
G Thaller ◽  
L Dempfle ◽  
I Hoeschele
Keyword(s):  
Maximum Likelihood ◽  
Mixed Model ◽  
Major Gene ◽  
Likelihood Ratio Statistic ◽  
Information Criterion ◽  
Genetic Models ◽  
Parameter Estimates ◽  
Gene Effects ◽  
Binary Traits ◽  
Deterministic Algorithms

Abstract Maximum likelihood methodology was applied to determine the mode of inheritance of rare binary traits with data structures typical for swine populations. The genetic models considered included a monogenic, a digenic, a polygenic, and three mixed polygenic and major gene models. The main emphasis was on the detection of major genes acting on a polygenic background. Deterministic algorithms were employed to integrate and maximize likelihoods. A simulation study was conducted to evaluate model selection and parameter estimation. Three designs were simulated that differed in the number of sires/number of dams within sires (10/10, 30/30, 100/30). Major gene effects of at least one SD of the liability were detected with satisfactory power under the mixed model of inheritance, except for the smallest design. Parameter estimates were empirically unbiased with acceptable standard errors, except for the smallest design, and allowed to distinguish clearly between the genetic models. Distributions of the likelihood ratio statistic were evaluated empirically, because asymptotic theory did not hold. For each simulation model, the Average Information Criterion was computed for all models of analysis. The model with the smallest value was chosen as the best model and was equal to the true model in almost every case studied.

It is not evolutionary models, but models in general that social science needs

2006 ◽  
Vol 29 (4) ◽  
pp. 351-352 ◽  
Author(s):  
Bruce Bridgeman
Keyword(s):  
Social Sciences ◽  
Social Science ◽  
Mathematical Models ◽  
Cultural Models ◽  
Genetic Models ◽  
Biological Information ◽  
Evolutionary Models ◽  
Cultural Information

Mathematical models are potentially as useful for culture as for evolution, but cultural models must have different designs from genetic models. Social sciences must borrow from biology the idea of modeling, rather than the structure of models, because copying the product is fundamentally different from copying the design. Transfer of most cultural information from brains to artificial media increases the differences between cultural and biological information.

A new method to test genetic models in HLA associated diseases: the MASC method

1988 ◽  
Vol 52 (3) ◽  
pp. 247-258 ◽  
Author(s):  
F. CLERGET-DARPOUX ◽  
M. C. BABRON ◽  
B. PRUM ◽  
G. M. LATHROP ◽  
I. DESCHAMPS ◽  
...  
Keyword(s):  
Genetic Models ◽  
New Method ◽  
Associated Diseases

Genetic models of the transmission of affective disorders

1975 ◽  
Vol 12 (4) ◽  
pp. 301-317 ◽  
Author(s):  
Elliot S. Gershon ◽  
Miron Baron ◽  
James F. Leckman
Keyword(s):  
Affective Disorders ◽  
Genetic Models
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