(A) The SNP and the phenotype are independent under the null hypothesis () and correlated under the alternative hypothesis (). (B) In the case of population structure, the structure will influence many SNPs and the phenotype. In this case, correlation between SNPs and the phenotype will be induced in both the null and alternate hypothesis. SNP, single nucleotide polymorphism.</p
Association studies among admixed populations pose many challenges including confounding of genetic ...
We develop a Bayesian mixed linear model that simultaneously estimates single-nucleotide polymorphis...
Association studies can be performed using any type of genetic polymorphism, but the one most common...
A genome-wide association study (GWAS) seeks to identify genetic variants that contribute to the dev...
A genome-wide association study (GWAS) seeks to identify genetic variants that contribute to the dev...
Expected distribution of p-values in a typical (A) Manhattan plot, (B) cumulative p-value distributi...
Observed distribution in a (A) Manhattan plot, (B) cumulative p-value distribution, and (C) Q–Q plot...
Although genome-wide association studies (GWASs) have discovered numerous novel genetic variants ass...
We review the problem of confounding in genetic association studies, which arises principally becaus...
The term uses information from the kinship matrix that accounts for the dependency among SNPs correl...
(A) The conventional GWAS test applied to mouse body weight phenotypes produces numerous false posit...
(A) The conventional GWAS test applied to mouse liver weight phenotypes produces numerous false posi...
Large-scale association studies hold substantial promise for unraveling the genetic basis of common ...
We develop a Bayesian mixed linear model that simultaneously estimates single-nucleotide polymorphis...
In genetic association studies, a gene-set analysis can be more powerful than the separate analyses ...
Association studies among admixed populations pose many challenges including confounding of genetic ...
We develop a Bayesian mixed linear model that simultaneously estimates single-nucleotide polymorphis...
Association studies can be performed using any type of genetic polymorphism, but the one most common...
A genome-wide association study (GWAS) seeks to identify genetic variants that contribute to the dev...
A genome-wide association study (GWAS) seeks to identify genetic variants that contribute to the dev...
Expected distribution of p-values in a typical (A) Manhattan plot, (B) cumulative p-value distributi...
Observed distribution in a (A) Manhattan plot, (B) cumulative p-value distribution, and (C) Q–Q plot...
Although genome-wide association studies (GWASs) have discovered numerous novel genetic variants ass...
We review the problem of confounding in genetic association studies, which arises principally becaus...
The term uses information from the kinship matrix that accounts for the dependency among SNPs correl...
(A) The conventional GWAS test applied to mouse body weight phenotypes produces numerous false posit...
(A) The conventional GWAS test applied to mouse liver weight phenotypes produces numerous false posi...
Large-scale association studies hold substantial promise for unraveling the genetic basis of common ...
We develop a Bayesian mixed linear model that simultaneously estimates single-nucleotide polymorphis...
In genetic association studies, a gene-set analysis can be more powerful than the separate analyses ...
Association studies among admixed populations pose many challenges including confounding of genetic ...
We develop a Bayesian mixed linear model that simultaneously estimates single-nucleotide polymorphis...
Association studies can be performed using any type of genetic polymorphism, but the one most common...