scholarly journals A Test of Transmission/Disequilibrium for Quantitative Traits in Pedigree Data, by Multiple Regression

1999 ◽  
Vol 65 (1) ◽  
pp. 236-245 ◽  
Author(s):  
Varghese George ◽  
Hemant K. Tiwari ◽  
Xiaofeng Zhu ◽  
Robert C. Elston
Keyword(s):  
Multiple Regression ◽  
Quantitative Traits ◽  
Pedigree Data ◽  
Transmission Disequilibrium

Transmission/disequilibrium tests for quantitative traits

2000 ◽  
Vol 64 (6) ◽  
pp. 555-565 ◽  
Author(s):  
F. Z. SUN ◽  
W. D. FLANDERS ◽  
Q. H. YANG ◽  
H. Y. ZHAO
Keyword(s):  
Quantitative Traits ◽  
Transmission Disequilibrium

Increase in power of transmission-disequilibrium tests for quantitative traits

2002 ◽  
Vol 23 (3) ◽  
pp. 234-244 ◽  
Author(s):  
Ida Malkin ◽  
Emil Ginsburg ◽  
Robert C. Elston
Keyword(s):  
Quantitative Traits ◽  
Transmission Disequilibrium

Detection of parent-of-origin effects for quantitative traits using general pedigree data

2014 ◽  
Vol 93 (2) ◽  
pp. 339-347 ◽  
Author(s):  
HAI-QIANG HE ◽  
WEI-GAO MAO ◽  
DONGDONG PAN ◽  
JI-YUAN ZHOU ◽  
PING-YAN CHEN ◽  
...  
Keyword(s):  
Quantitative Traits ◽  
Pedigree Data ◽  
General Pedigree ◽  
Parent Of Origin ◽  
Origin Effects

scholarly journals Heterozygosity and fitness: no association in Scots pine.

Genetics ◽  
1995 ◽  
Vol 140 (2) ◽  
pp. 755-766 ◽  
Author(s):  
O Savolainen ◽  
P Hedrick
Keyword(s):  
Multiple Regression ◽  
Scots Pine ◽  
Quantitative Traits ◽  
Average Power ◽  
Positive Association ◽  
Single Locus ◽  
Heterozygote Advantage ◽  
Data Set ◽  
Multiple Loci ◽  
Allozyme Loci

Abstract The association of six quantitative traits related to fitness with heterozygosity at 12 allozyme loci has been examined in three populations of Scots pine, Pinus sylvestris. Because of several characteristics of this organism and of this extensive data set, it appeared that this study would show a positive association between heterozygosity and these traits if indeed heterozygotes had higher values for these quantitative traits. Using several different statistical techniques including analysis of variance, regression with the scaling recommended from the adaptive distance model, and multiple regression, no evidence of an association was found. For example, only between 7 and 8% of the regression tests were significant at the 5% level and half of these showed a positive association and half showed a negative association. Further, the multiple regression analysis explained on average only 5.8% of the variation observed in the six different traits and only 1.5% of this variation was explained by a positive association. Power analysis was carried out (for the first time on these type of data), both for the single locus heterozygous advantage and the association of individual multiple locus heterozygosity and the quantitative traits. For diameter and height, two traits often used in similar studies, the average power to detect a single locus heterozygous advantage of 0.10 was 0.737 and the average power to detect a mean heterozygote advantage of 0.05 per locus for multiple loci was 0.797. As a result of this study and an examination of the published results from other studies, it appears that what positive associations have been observed are probably not, in large part, due to the presence of intrinsic heterozygote advantage.

Transmission/disequilibrium tests for quantitative traits

2000 ◽  
Vol 64 (6) ◽  
pp. 555-565 ◽  
Author(s):  
F. Z. SUN ◽  
W. D. FLANDERS ◽  
Q. H. YANG ◽  
H. Y. ZHAO
Keyword(s):  
Quantitative Traits ◽  
Transmission Disequilibrium

The Power of Transmission Disequilibrium Tests for Quantitative Traits

2001 ◽  
Vol 21 (S1) ◽  
pp. S632-S637 ◽  
Author(s):  
Jinming Li ◽  
Dai Wang ◽  
Jianping Dong ◽  
Renfang Jiang ◽  
Kui Zhang ◽  
...  
Keyword(s):  
Quantitative Traits ◽  
Transmission Disequilibrium

scholarly journals Implementation of a Combined Association-Linkage Model for Quantitative Traits in Linear Mixed Model Procedures of Statistical Packages

2006 ◽  
Vol 9 (3) ◽  
pp. 325-333 ◽  
Author(s):  
A. Leo Beem ◽  
Dorret I. Boomsma
Keyword(s):  
Transmission Disequilibrium Test ◽  
Quantitative Traits ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Transmission Disequilibrium ◽  
Linkage Analyses ◽  
Software Packages ◽  
Linkage Model

AbstractA transmission disequilibrium test for quantitative traits which combines association and linkage analyses is currently available in several dedicated software packages. We describe how to implement such models in linear mixed model procedures that are available in widely used statistical packages such as SPSS. We also briefly mention a few extensions of the model that become naturally available once the model is implemented in such procedures.

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