<p>se: standard error</p><p>(a) estimate of the full narrow sense heritability, calculated using GCTA, but replacing the full related matrix with a modified one that assumes zero relatedness between participants whose estimated relatedness is less than 0.05</p><p>(b) estimate of the amount of variance in the trait that was explained by the interrogated SNVs in a linear model, using the relatedness matrix calculated by GCTA, and using all participants</p><p>(c) estimate of the amount of variance in the trait that was explained by the interrogated SNVs in a linear model, using the relatedness matrix calculated by GCTA, and including only one participant of any pair where the estimated kinship coefficient was larger than 0.025 (2nd-3rd cousins...
Narrow-sense heritability (h(2)) is an important genetic parameter that quantifies the proportion of...
<p>Influence of the number of loci used to estimate pairwise relatedness coefficients (Loiselle coef...
For heritability estimation using a two-component random effects model, we provided formulas for the...
<p> <i>Footnote: SE – standard error; n with non-missing phenotypic data = 2806–281...
1<p>h<sup>2</sup>(g), heritability of additive genetic variance; h<sup>2</sup> (gxe), heritability o...
For a family-based sample, the phenotypic variance-covariance matrix can be parameterized to include...
Narrow-sense heritability (h(2)) is an important genetic parameter that quantifies the proportion of...
Background Traditionally, heritability has been estimated using family-based methods such as twin s...
<p>*significance at 0.05,</p><p>**significance at 0.01.</p>a<p>In cases where two heritabilities are...
The study of continuously varying, quantitative traits is important in evolutionary biology, agricul...
<p>We simulated quantitative traits of heritability <i>h</i><sup>2</sup> = 0.5 using a linear mixed ...
Copyright © 2015 Youngdoe Kim et al.This is an open access article distributed under the Creative Co...
The study of continuously varying, quantitative traits is important in evolutionary biology, agricul...
The study of continuously varying, quantitative traits is important in evolutionary biology, agricul...
<p>Simulation results of continuous trait, one chromosome, <i>N</i> = 5000, <i>p</i> = 60, <i>h</i><...
Narrow-sense heritability (h(2)) is an important genetic parameter that quantifies the proportion of...
<p>Influence of the number of loci used to estimate pairwise relatedness coefficients (Loiselle coef...
For heritability estimation using a two-component random effects model, we provided formulas for the...
<p> <i>Footnote: SE – standard error; n with non-missing phenotypic data = 2806–281...
1<p>h<sup>2</sup>(g), heritability of additive genetic variance; h<sup>2</sup> (gxe), heritability o...
For a family-based sample, the phenotypic variance-covariance matrix can be parameterized to include...
Narrow-sense heritability (h(2)) is an important genetic parameter that quantifies the proportion of...
Background Traditionally, heritability has been estimated using family-based methods such as twin s...
<p>*significance at 0.05,</p><p>**significance at 0.01.</p>a<p>In cases where two heritabilities are...
The study of continuously varying, quantitative traits is important in evolutionary biology, agricul...
<p>We simulated quantitative traits of heritability <i>h</i><sup>2</sup> = 0.5 using a linear mixed ...
Copyright © 2015 Youngdoe Kim et al.This is an open access article distributed under the Creative Co...
The study of continuously varying, quantitative traits is important in evolutionary biology, agricul...
The study of continuously varying, quantitative traits is important in evolutionary biology, agricul...
<p>Simulation results of continuous trait, one chromosome, <i>N</i> = 5000, <i>p</i> = 60, <i>h</i><...
Narrow-sense heritability (h(2)) is an important genetic parameter that quantifies the proportion of...
<p>Influence of the number of loci used to estimate pairwise relatedness coefficients (Loiselle coef...
For heritability estimation using a two-component random effects model, we provided formulas for the...