gwas,specificity_id,conditional_annotation,annotation,beta,beta_se,pvalue
BMI_UKBB_Loh2018,tabula_muris,Brain_Non-Myeloid.neuron,Heart.smooth_muscle_cell,1.0588692140291118e-08,5.566226839031385e-09,0.028565282445547024
BMI_UKBB_Loh2018,tabula_muris,Brain_Non-Myeloid.neuron,Brain_Non-Myeloid.brain_pericyte,7.811921340693291e-09,4.593435080146262e-09,0.04450240184296688
BMI_UKBB_Loh2018,tabula_muris,Brain_Non-Myeloid.neuron,Pancreas.pancreatic_A_cell,7.939911682204028e-09,5.394114939428664e-09,0.07051608367477126
For example, I performed a conditional analysis of LDSC on all the significantly associated cell types in a certain GWAS. SPECIFICITY_INPUT is the specific expression data of all the significantly associated cell types in this GWAS, and CONDITIONAL_INPUT is the same data. If the pvalue in the result file is less than 0.05, does it mean that the two cell types associated with this GWAS are independent of each other, or do these two cell types have the same association with this GWAS?
Looking forward to your reply！