Much of the literature on genome-wide association studies (GWAS) is based on the premise that an important proportion of common diseases is heritable and that this proportion is likely to be due to genetic variants detectable with extensive scans of the DNA. Heritability is estimated from family studies, including twin studies and is based on the comparison of the variation in disease among different members of particular families. Since there is a wide gap between the population variation in disease explained by the results of GWAS (usually <10 % for common diseases) and estimates of heritability (often>50%), the question arises as to how to explain these differences. However, the premise for this question is based on two sources of ...
Genome-wide association studies (GWAS) involve testing genetic variants across the genomes of many i...
The genome-wide association studies (GWAS) dominating genetic discovery are based on large meta-anal...
<p> <i>Footnote: SE – standard error; n with non-missing phenotypic data = 2806–281...
Much of the literature on genome-wide association studies (GWAS) is based on the premise that an imp...
Heritability estimates obtained in genome-wide association studies (GWAS) are much lower than those ...
Many challenges related to understanding the mystery of missing heritability and discovering the var...
Heritability estimates obtained from genome-wide association studies (GWAS) are much lower than thos...
In the past decade, rapid advances in genomic technologies have dramatically changed the genetic stu...
Background: The variance explained by genetic variants as identified in (genome-wide) genetic associ...
Genome-wide association studies have identified hundreds of genetic variants associated with complex...
This article critiques the “missing heritability ” position, which calls for greater efforts and fun...
Narrow-sense heritability (h(2)) is an important genetic parameter that quantifies the proportion of...
Background The variance explained by genetic variants as identified in (genome-wide) genetic associa...
BACKGROUND: The variance explained by genetic variants as identified in (genome-wide) genetic associ...
Genome-wide association studies (GWAS) have become a preferred method to identify new genetic suscep...
Genome-wide association studies (GWAS) involve testing genetic variants across the genomes of many i...
The genome-wide association studies (GWAS) dominating genetic discovery are based on large meta-anal...
<p> <i>Footnote: SE – standard error; n with non-missing phenotypic data = 2806–281...
Much of the literature on genome-wide association studies (GWAS) is based on the premise that an imp...
Heritability estimates obtained in genome-wide association studies (GWAS) are much lower than those ...
Many challenges related to understanding the mystery of missing heritability and discovering the var...
Heritability estimates obtained from genome-wide association studies (GWAS) are much lower than thos...
In the past decade, rapid advances in genomic technologies have dramatically changed the genetic stu...
Background: The variance explained by genetic variants as identified in (genome-wide) genetic associ...
Genome-wide association studies have identified hundreds of genetic variants associated with complex...
This article critiques the “missing heritability ” position, which calls for greater efforts and fun...
Narrow-sense heritability (h(2)) is an important genetic parameter that quantifies the proportion of...
Background The variance explained by genetic variants as identified in (genome-wide) genetic associa...
BACKGROUND: The variance explained by genetic variants as identified in (genome-wide) genetic associ...
Genome-wide association studies (GWAS) have become a preferred method to identify new genetic suscep...
Genome-wide association studies (GWAS) involve testing genetic variants across the genomes of many i...
The genome-wide association studies (GWAS) dominating genetic discovery are based on large meta-anal...
<p> <i>Footnote: SE – standard error; n with non-missing phenotypic data = 2806–281...