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Fig. 4 | BMC Genomics

Fig. 4

From: Identifying cross-tissue molecular targets of lung function by multi-omics integration analysis from DNA methylation and gene expression of diverse human tissues

Fig. 4

MOLOC colocalization analysis identified the association signals of gene expression, blood cell traits, and lung function. A CD46 expression in blood, monocyte count, and FVC shared the same causal signal (PPA = 0.87); B CD46 expression in blood, white blood cell count, and FVC shared the same causal signal (PPA = 0.87); C LMCD1 expression in blood, white blood cell count, and FEV1/FVC shared the same causal signal (PPA = 0.83); D ZBTB38 expression in blood, lymphocyte count, and FEV1 shared the same causal signal (PPA = 0.91). eQTL: expression quantitative trait loci; FEV1: Forced expiratory volume in one second; FVC: Forced vital capacity; FEV1/FVC: Forced expiratory volume in one second and forced vital capacity ratio; PPA: An overall posterior probability of the three traits (PPA ≥ 0.80 was considered to share causal signals)

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BMC Genomics

ISSN: 1471-2164

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