<p>(<b>A</b>) A SNP's effect on the trait is correlated with its effect on fitness (τ = 0.5). Note that the population that experienced recent growth (green line; BN+growth) has a lower proportion of <i>V<sub>A</sub></i> accounted for by SNPs at any <i>P</i>-value threshold than the populations that did not recently expand (orange and purple lines; BN and Old growth). (<b>B</b>) A SNP's effect on the trait is independent of its effect on fitness (τ = 0). Here note that the SNPs with low <i>P</i>-values (<0.05) account for most of the <i>V<sub>A</sub></i> regardless of the demographic history of the population. Here and <i>M</i> = 70 kb.</p
<p>For each SNP in the genes shown on the x-axis, the-log10 <i>P</i> (unadjusted <i>P</i> value) fro...
We develop a Bayesian mixed linear model that simultaneously estimates single-nucleotide polymorphis...
For human complex traits, non-additive genetic variation has been invoked to explain “missing herita...
<p>(<b>A</b>) A SNP's effect on the trait is correlated with its effect on fitness (τ = 0.5). Note t...
<p>(<b>A</b>) A SNP's effect on the trait is correlated with its effect on fitness (τ = 0.5). (<b>B<...
<p>A quantitative trait was assumed to be genetically determined according to the underlying (unobse...
<p>The proportion of GWAS significant SNPs (<i>θ</i><sub>P</sub>) is defined as the proportion of SN...
<p>Regions of 100 SNPs were simulated from phased 1000 Genomes data in 5,000 individuals, excluding ...
Proportion of additive genetic variance, explained by 1 Mb windows of adjacent SNPs, for the polled ...
For human complex traits, non-additive genetic variation has been invoked to explain "missing herita...
We develop a Bayesian mixed linear model that simultaneously estimates single-nucleotide polymorphis...
We have recently developed analysis methods (GREML) to estimate the genetic variance of a complex tr...
<p>Note:</p><p>The effect direction was assessed using a linear regression model. A positive/negativ...
Number of SNP marker-trait associations in different years for the examined traits.</p
A model is investigated in which mutations that affect a complex trait (e.g., heart disease) also af...
<p>For each SNP in the genes shown on the x-axis, the-log10 <i>P</i> (unadjusted <i>P</i> value) fro...
We develop a Bayesian mixed linear model that simultaneously estimates single-nucleotide polymorphis...
For human complex traits, non-additive genetic variation has been invoked to explain “missing herita...
<p>(<b>A</b>) A SNP's effect on the trait is correlated with its effect on fitness (τ = 0.5). Note t...
<p>(<b>A</b>) A SNP's effect on the trait is correlated with its effect on fitness (τ = 0.5). (<b>B<...
<p>A quantitative trait was assumed to be genetically determined according to the underlying (unobse...
<p>The proportion of GWAS significant SNPs (<i>θ</i><sub>P</sub>) is defined as the proportion of SN...
<p>Regions of 100 SNPs were simulated from phased 1000 Genomes data in 5,000 individuals, excluding ...
Proportion of additive genetic variance, explained by 1 Mb windows of adjacent SNPs, for the polled ...
For human complex traits, non-additive genetic variation has been invoked to explain "missing herita...
We develop a Bayesian mixed linear model that simultaneously estimates single-nucleotide polymorphis...
We have recently developed analysis methods (GREML) to estimate the genetic variance of a complex tr...
<p>Note:</p><p>The effect direction was assessed using a linear regression model. A positive/negativ...
Number of SNP marker-trait associations in different years for the examined traits.</p
A model is investigated in which mutations that affect a complex trait (e.g., heart disease) also af...
<p>For each SNP in the genes shown on the x-axis, the-log10 <i>P</i> (unadjusted <i>P</i> value) fro...
We develop a Bayesian mixed linear model that simultaneously estimates single-nucleotide polymorphis...
For human complex traits, non-additive genetic variation has been invoked to explain “missing herita...