<p>Mean and standard error for height (inches) and BMI among with two minor alleles is shown separately for homozygotes (one sibling with zero minor alleles and the other sibling with two) and heterozygotes (each sibling has one minor allele), for each genome-wide suggestively significant SNP for the respective trait (<b>A</b>. height; <b>B</b>. BMI). One significant SNP for height (rs8029740) is not depicted because there is only one sibling pair with the 1-1 allele combination and 0 sibling pairs with the 0-2 combination. A two-sample t-test for equality of means, estimated separately for each SNP, revealed no significant differences between the two groups for the top hits for each trait.</p
<div><p>The propensity of a trait to vary within a population may have evolutionary, ecological, or ...
Height has been used for more than a century as a model by which to understand quantitative genetic ...
Height has been used for more than a century as a model by which to understand quantitative genetic ...
SNPs discovered by genome-wide association studies (GWASs) account for only a small fraction of the ...
Genome-wide association studies (GWAS) have identified many common variants associated with complex ...
<p>Variation of height explained by 10%, 30%, 50%, 80% and 100% of the nearly one million autosomal ...
Genome-wide association studies (GWAS) have identified many common variants associated with complex ...
Evidence that complex traits are highly polygenic has been presented by population-based genome-wide...
Height has been used for more than a century as a model by which to understand quantitative genetic ...
This article is free to read via publisher website Evidence that complex traits are highly polygenic...
A combined analysis of 281 genome-wide association studies finds 12,111 common DNA variants associat...
Many studies of quantitative and disease traits in human genetics rely upon self-reported measures. ...
We propose a method (GREML-LDMS) to estimate heritability for human complex traits in unrelated indi...
Background: There is an unspoken assumption that imprecision of measurement of phenotypes will not h...
There are many known examples of multiple semi-independent associations at individual loci; such ass...
<div><p>The propensity of a trait to vary within a population may have evolutionary, ecological, or ...
Height has been used for more than a century as a model by which to understand quantitative genetic ...
Height has been used for more than a century as a model by which to understand quantitative genetic ...
SNPs discovered by genome-wide association studies (GWASs) account for only a small fraction of the ...
Genome-wide association studies (GWAS) have identified many common variants associated with complex ...
<p>Variation of height explained by 10%, 30%, 50%, 80% and 100% of the nearly one million autosomal ...
Genome-wide association studies (GWAS) have identified many common variants associated with complex ...
Evidence that complex traits are highly polygenic has been presented by population-based genome-wide...
Height has been used for more than a century as a model by which to understand quantitative genetic ...
This article is free to read via publisher website Evidence that complex traits are highly polygenic...
A combined analysis of 281 genome-wide association studies finds 12,111 common DNA variants associat...
Many studies of quantitative and disease traits in human genetics rely upon self-reported measures. ...
We propose a method (GREML-LDMS) to estimate heritability for human complex traits in unrelated indi...
Background: There is an unspoken assumption that imprecision of measurement of phenotypes will not h...
There are many known examples of multiple semi-independent associations at individual loci; such ass...
<div><p>The propensity of a trait to vary within a population may have evolutionary, ecological, or ...
Height has been used for more than a century as a model by which to understand quantitative genetic ...
Height has been used for more than a century as a model by which to understand quantitative genetic ...