| Literature DB >> 33031565 |
Shuai Yuan1, Mathew Vithayathil2, Siddhartha Kar3, Paul Carter4, Amy M Mason5,6, Shao-Hua Xie7, Stephen Burgess4,8, Susanna C Larsson1,9.
Abstract
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Mesh:
Year: 2020 PMID: 33031565 PMCID: PMC8411419 DOI: 10.1111/all.14616
Source DB: PubMed Journal: Allergy ISSN: 0105-4538 Impact factor: 13.146
Figure 1Associations of genetic predisposition to allergic disease with esophageal, gastric, and colorectal cancer. BBJ, indicates BioBank Japan; CI, confidence interval; OR, odds ratio; UKBB, UK Biobank
Associations of genetic predisposition to allergic disease with esophageal, gastric, and colorectal cancer in sensitivity analyses
| Esophageal cancer | Gastric cancer | Colorectal cancer | |||||||
|---|---|---|---|---|---|---|---|---|---|
| OR | 95% CI |
| OR | 95% CI |
| OR | 95% CI |
| |
| UK Biobank | |||||||||
| IVW‐fixed effects method | 0.89 | 0.73, 1.08 | .242 | 0.88 | 0.72, 1.09 | .253 | 0.91 | 0.84, 0.98 | .015 |
| Weighted median method | 0.92 | 0.69, 1.23 | .571 | 0.84 | 0.61, 1.15 | .270 | 0.96 | 0.84, 1.08 | .489 |
| MR‐Egger regression | 1.01 | 0.6, 1.68 | .976 | 1.23 | 0.71, 2.13 | .468 | 0.91 | 0.73, 1.15 | .442 |
| MR‐PRESSO method | n/a | n/a | n/a | n/a | n/a | n/a | 0.90 | 0.83, 0.98 | .012 |
| Heterogeneity | |||||||||
| Pleiotropy | Intercept = −0.007; | Intercept = −0.018; | Intercept = 0.000; | ||||||
| BioBank Japan | |||||||||
| IVW‐fixed effects method | 0.79 | 0.66, 0.96 | .017 | 0.88 | 0.81, 0.96 | .004 | 0.91 | 0.83, 0.99 | .022 |
| Weighted median method | 0.65 | 0.49, 0.86 | .003 | 0.94 | 0.82, 1.07 | .332 | 0.87 | 0.76, 0.99 | .034 |
| MR‐Egger regression | 0.65 | 0.37, 1.14 | .130 | 0.83 | 0.61, 1.13 | .237 | 0.84 | 0.66, 1.08 | .181 |
| MR‐PRESSO method | n/a | n/a | n/a | 0.93 | 0.84, 1.02 | .138 | n/a | n/a | n/a |
| Heterogeneity | |||||||||
| Pleiotropy | Intercept 0.011; | Intercept = 0.003; | Intercept = 0.004; | ||||||
| FinnGen consortium | |||||||||
| IVW‐fixed effects method | 0.93 | 0.52, 1.67 | .803 | 1.11 | 0.79, 1.56 | .537 | 0.93 | 0.79, 1.09 | .352 |
| Weighted median method | 0.79 | 0.34, 1.85 | .586 | 1.21 | 0.72, 2.02 | .477 | 1.11 | 0.88, 1.4 | .38 |
| MR‐Egger regression | 0.30 | 0.06, 1.43 | .129 | 1.00 | 0.37, 2.67 | .999 | 0.88 | 0.55, 1.39 | .578 |
| MR‐PRESSO method | n/a | n/a | n/a | n/a | n/a | n/a | n/a | n/a | n/a |
| Heterogeneity | |||||||||
| Pleiotropy | Intercept = 0.061; | Intercept 0.006; | Intercept 0.003; | ||||||
There was no corrected estimate (n/a) if no outlier was identified. One outlier was identified and removed in the analysis of colorectal cancer based on UK Biobank (P value for the distortion test was.815) and two outliers were identified and removed in the analysis of gastric cancer based on Biobank Japan (P value for the distortion test was.137).
We observed significant heterogeneity among used SNPs in the analysis of colorectal cancer based on UK Biobank and gastric cancer based on Biobank Japan (P het < .05).
Pleiotropy was measured by the intercept from MR‐Egger regression. Pleiotropy was not detected in any analysis (all P > .05).