Post by Jian Yang on Sept 15, 2015 4:12:02 GMT
Yang et al. (2012) Conditional and joint multiple SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits. Nat Genet, 44: 369-375.
The paper describes a method to perform conditional analysis using GWAS summary data.
Corrigendum
Equation 4: by
, we simply mean that in single-SNP based association analyses, the estimates of effect sizes do not take LD between SNPs into account. If two SNPs are in LD, there should be a sampling correlation between two beta estimates (sampling correlation = LD correlation under the null) but such correlation is ignored in single-SNP based analyses.
Equations 16 and 20:
The terms highlighted in yellow should be dropped.
The paper describes a method to perform conditional analysis using GWAS summary data.
Corrigendum
Equation 4: by
, we simply mean that in single-SNP based association analyses, the estimates of effect sizes do not take LD between SNPs into account. If two SNPs are in LD, there should be a sampling correlation between two beta estimates (sampling correlation = LD correlation under the null) but such correlation is ignored in single-SNP based analyses. Equations 16 and 20:
The terms highlighted in yellow should be dropped.