<p>GLM = general linear model (Q matrix), MLM = mixed linear model (Q matrix + kinship matrix), sign. = significant with <i>P</i><0.05.</p
Population structure and kinship are widespread confounding factors in genome-wide association studi...
<p>In each bar, the gray and black areas represent the number of significant DArT markers from the s...
<div><p>Population structure and kinship are widespread confounding factors in genome-wide associati...
<p>Note: <sup>a</sup>represents the locus identical with previous mapping results, <i>R<sup>2</sup><...
<p>Significant marker-trait associations (MTAs) identified using MLMM (Multi-Locus Mixed Model).</p
<p>Note:</p>(1)<p>Number of the same trait-marker associations using MLM found both in Panel 1 and P...
Joint linkage association mapping (JLAM) combines the advantages of linkage mapping and association ...
Manhattan plots summarizing the genome-wide association study (GWAS) results for two quantitative tr...
<p>Naive (black line) = Generalized Linear Model without correction. K-SSR (blue line) = Mixed Linea...
<p>The GLM Naive (violet trace), GLM Q-model (green trace) and MLM (red trace). Traits showing signi...
In genome-wide association studies (GWAS), penalization is an important approach for identifying gen...
Mixed linear models are emerging as a method of choice for conducting genetic association studies in...
Population structure and kinship are widespread confounding factors in genome-wide association studi...
<p>The agreement between the models is expressed in the correlation between the vectors of coefficie...
Master of ScienceDepartment of StatisticsShie-Shien YangIn fitting linear models, R[superscript]2 st...
Population structure and kinship are widespread confounding factors in genome-wide association studi...
<p>In each bar, the gray and black areas represent the number of significant DArT markers from the s...
<div><p>Population structure and kinship are widespread confounding factors in genome-wide associati...
<p>Note: <sup>a</sup>represents the locus identical with previous mapping results, <i>R<sup>2</sup><...
<p>Significant marker-trait associations (MTAs) identified using MLMM (Multi-Locus Mixed Model).</p
<p>Note:</p>(1)<p>Number of the same trait-marker associations using MLM found both in Panel 1 and P...
Joint linkage association mapping (JLAM) combines the advantages of linkage mapping and association ...
Manhattan plots summarizing the genome-wide association study (GWAS) results for two quantitative tr...
<p>Naive (black line) = Generalized Linear Model without correction. K-SSR (blue line) = Mixed Linea...
<p>The GLM Naive (violet trace), GLM Q-model (green trace) and MLM (red trace). Traits showing signi...
In genome-wide association studies (GWAS), penalization is an important approach for identifying gen...
Mixed linear models are emerging as a method of choice for conducting genetic association studies in...
Population structure and kinship are widespread confounding factors in genome-wide association studi...
<p>The agreement between the models is expressed in the correlation between the vectors of coefficie...
Master of ScienceDepartment of StatisticsShie-Shien YangIn fitting linear models, R[superscript]2 st...
Population structure and kinship are widespread confounding factors in genome-wide association studi...
<p>In each bar, the gray and black areas represent the number of significant DArT markers from the s...
<div><p>Population structure and kinship are widespread confounding factors in genome-wide associati...