Common factor GWAS and TWAS output for nociplastic type pain
收藏NIAID Data Ecosystem2026-05-01 收录
下载链接：
https://zenodo.org/record/8117582
下载链接
链接失效反馈官方服务：
资源简介：
file: GSEM_commonFactorGWAS_COPC_6trait_30MAY2023.csv.gz
description: Common factor GWAS output for GenomicSEM analyses of 6 COPC traits (see doi: https://doi.org/10.1101/2023.06.27.23291959)
columns:
SNP = rsID SNP identifier
CHR = chromosome
BP = base pair position
MAF = minor allele frequency
A1 = effect allele
A2 = other allele
i = index (1 - n SNPs)
lhs = left hand side of equation
op = equation operator (lavaan syntax)
rhs = right hand side of equation
est = effect size (beta)
se_c = standard error of effect estimate
Z_Estimate = Z value
Pval_Estimate = p value of effect
Q = Q (heterogeneity) value
Q_df = degrees of freedom for Q
Q_pval = Q p value
fail = GSEM fail message if applicable
warning = GSEM warning message if applicable
Z_smooth = smoothing parameter if applicable
N_estimate = N estimate
file: GSEM_commonFactorTWAS_COPC_6trait_30MAY2023.csv.gz
description: Common factor TWAS output for GenomicSEM analyses of 6 COPC traits (see doi: https://doi.org/10.1101/2023.06.27.23291959)
columns:
Gene = ensembl gene ID
Panel = which model (tissue+gene) i.e. reference weights file
HSQ = gene heritability
i = index (1 - n gene-tissue models)
lhs = equation left hand side
op = operator (lavaan syntax)
rhs = equation right hand side
est = association estimate (beta)
se_c = standard error of beta
Z_Estimate = Z value
Pval_Estimate = p value of association test
Q = Q (heterogeneity) value
Q_df = degrees of freedom for Q
Q_pval = p value for Q
fail = GSEM fail message if applicable
warning = GSEM warning message if applicable
tissue = tissue
p_bonf_tissue = adjusted p value - bonferroni adjustment within tissue
p_fdr_tissue = adjusted p value - false discovery rate adjustment within tissue
threshold_bonf_tissue = p value threshold for bonferroni adjustment within tissue
p_bonf_experiment = adjusted p value - bonferroni adjustment experiment-wide
p_threshold_bonf_experiment = p value threshold (bonferroni, experiment-wide)
Q_bonf_tissue = adjusted p value for Q, bonferroni within-tissue
创建时间：
2023-07-06
