Fig. 3: Functional analyses of rs329118 on JADE2, rs2285521 on GGA2, and rs198459 on MYRF.
From: Deciphering associations between three RNA splicing-related genetic variants and lung cancer risk
Correlation between JADE2 rs329118 and JADE2 mRNA expression levels in additive (a), dominant (b), and recessive (c) models in 373 blood cells from 373 Europeans individuals in 1000 genomes project (P = 0.094, 0.487 and 0.027, respectively). Correlation between GGA2 rs2285521 and GGA2 mRNA expression levels in additive (d), dominant (e), and recessive (f) models in 373 blood cells from 373 Europeans individuals in 1000 genomes project (P = 5.30 × 10−4, 0.0013 and 0.034, respectively). Correlation between GGA2 rs2285521 (g) and MYRF rs198459 (h), and mRNA expression levels in normal lung tissues or whole blood cells of GTEx project (P = 0.014 and P = 6.20 × 10−10, respectively). i, j Correlation between EARS2 rs6497670 in additive (i) and dominant (j) models in lung cancer tissues of TCGA project (P = 4.85 × 10−3 and P = 8.29 × 10−3, respectively). k Pair-wise LD plot between GGA2 rs2285521 (T>C) and EARS2 rs6497670 (C>T). a–j P value was calculated from linear regression. Center-line indicates the median expression level across all participants in that group, and the hinges represent the lower (Q1) and upper (Q3) quartile, with lower whisker indicating the smallest value within 1.5 interquartile range (IQR) below Q1 and upper whisker indicating the largest value within 1.5 IQR above Q3.
