Copyright
©The Author(s) 2024.
World J Clin Cases. Jul 16, 2024; 12(20): 4272-4288
Published online Jul 16, 2024. doi: 10.12998/wjcc.v12.i20.4272
Published online Jul 16, 2024. doi: 10.12998/wjcc.v12.i20.4272
Table 1 Summary of GWAS data in Mendelian randomization analyses
Phenotype | Unit | No. of participants | Ancestry | Consortium/cohort | Ref. | GWAS resources |
Education | SD (4.2 years) | 1131881 | European | SSGAC | Lee et al[32], 2018 | |
Cognition | SD (0.99 point) | 257841 | European | COGENT | Lee et al[32], 2018 | |
Intelligence | SD | 269867 | European | Meta | Savage et al[25], 2018 | |
Cholelithiasis | Event | 330903 | European | FinnGen | Not available | https://r9.finngen.fi/ |
Cholecystitis | Event | 330903 | European | FinnGen | Not available | https://r9.finngen.fi/ |
BMI | SD (4.7 kg/m2) | 681275 | European | GIANT | Yengo et al[34], 2018 | |
BF% | SD (6.6%) | 65831 | European | Meta | Lu et al[35], 2016 | |
WHR | SD (0.09) | 212244 | European | GIANT | Shungin et al[36], 2015 | |
Waist circumference | SD (12.5 cm) | 231353 | European | GIANT | Shungin et al[36], 2015 | |
Watching TV | SD (1.5 h) | 408815 | European | United Kingdom Biobank | Van de Vegte et al[44], 2020 | |
Childhood obesity | Event | 13848 | European | EGG | Bradfield et al[37], 2012 | |
Type 2 diabetes | Event | 70127 | European | Meta | Sílvia Bonàs-Guarch et al[38], 2018 | |
Fasting insulin | SD (0.79 pmol/L) | 108557 | European | MAGIC | Scott et al[39], 2012 | |
Fasting glucose | SD (0.73 mmol/L) | 133010 | European | MAGIC | Scott et al[39], 2012 | |
LDL-C | SD (38.7 mg/dL) | 173082 | Mixed1 | GLGC | Willer et al[40], 2013 | |
HDL-C | SD (15.5 mg/dL) | 187167 | Mixed1 | GLGC | Willer et al[40], 2013 | |
Triglycerides | SD (90.7 mg/dL) | 177861 | Mixed1 | GLGC | Willer et al[40], 2013 | |
Total cholesterol | SD (41.8 mg/dL) | 187365 | Mixed1 | GLGC | Willer et al[40], 2013 | |
Smoking initiation | Event | 607291 | European | GSCAN | Liu et al[41], 2019 | |
Smoking heaviness | SD (8 cigarettes) | 337334 | European | GSCAN | Liu et al[41], 2019 | |
Alcohol drinking | SD (9 drinks/wk) | 335394 | European | GSCAN | Liu et al[41], 2019 | |
Coffee intake | SD (1% change) | 375833 | European | United Kingdom Biobank | Zhong et al[42], 2019 | |
Tea intake | SD (2.85 cups/d) | 447485 | European | United Kingdom Biobank | Zhong et al[42], 2019 | UKB-b-6066 |
MVPA | SD (2084 MET-min/wk) | 377234 | European | United Kingdom Biobank | Klimentidis et al[43], 2018 | |
Computer using | SD (1.2 h) | 408815 | European | United Kingdom Biobank | Van de Vegte et al[44], 2020 | |
Total house income | SD | 397751 | European | United Kingdom Biobank | Hemani et al[45], 2018 |
Table 2 MVMR estimating causal associations between education, cognition, or intelligence and cholecystitis with adjustment for cholelithiasis
Exposure | Method | β (95%CI) | OR (95%CI) | P value |
Education | MR MV_IVW | -0.534 (-0.767 to -0.300) | 0.292 (0.171-0.501) | 1.73E-43 |
MR MV_Egger | -0.614 (-0.853 to -0.376) | 0.243 (0.140-0.421) | < 0.001 | |
MR MV_Median | -0.608 (-0.942 to -0.275) | 0.247 (0.114-0.531) | < 0.001 | |
MR MV_Lasso | -0.513 (-0.738 to -0.288) | 0.307 (0.183-0.515) | < 0.001 | |
Cognition | MR MV_IVW | -0.026 (-0.222 to 0.222) | 0.942 (0.600-1.667) | 0.839 |
MR MV_Egger | -0.894 (-1.590 to -0.197) | 0.128 (0.026-1.574) | 0.012 | |
MR MV_Median | 0.094 (-0.234 to 0.421) | 1.242 (0.583-2.636) | 0.576 | |
MR MV_Lasso | -0.025 (-0.247 to 0.196) | 0.944 (0.566-1.570) | 0.822 | |
Intelligence | MR MV_IVW | -0.079 (-0.296 to 0.138) | 0.834 (0.506-1.374) | 0.475 |
MR MV_Egger | -0.454 (-1.171 to 0.264) | 0.352 (0.067-1.837) | 0.215 | |
MR MV_Median | -0.105 (-0.414 to 0.203) | 0.785 (0.385-1.596) | 0.504 | |
MR MV_Lasso | -0.122 (-0.328 to 0.084) | 0.755 (0.470-1.213) | 0.246 |
Table 3 UVMR estimating causal associations between education, cognition, and intelligence and each mediator
Exposure | Mediator | Method | No. of SNPs | β (95%CI) | P value |
Education | BMI | IVW | 332 | -0.36 (-0.42 to -0.31) | 9.57E-39 |
MR Egger | 332 | -0.30 (-0.50 to -0.10) | 2.92E-03 | ||
Weighted Median | 332 | -0.29 ( -0.33 to -0.25) | 1.56E-46 | ||
MR PRESSO | 651 | -0.35 (-0.37 to -0.33) | 1.44E-60 | ||
BF% | IVW | 332 | -0.28 (-0.32 to -0.24) | 1.10E-41 | |
MR Egger | 332 | -0.24 (-0.38 to -0.10) | 1.11E-03 | ||
Weighted Median | 332 | -0.24 (-0.28 to -0.21) | 7.71E-51 | ||
MR PRESSO | 541 | -0.29 (-0.30 to -0.28) | 5.98E-66 | ||
Waist circumference | IVW | 271 | -0.30 (-0.36 to -0.23) | 5.57E-20 | |
MR Egger | 271 | -0.41 (-0.66 to -0.17) | 1.11E-03 | ||
Weighted Median | 271 | -0.26 (-0.34 to -0.18) | 1.96E-10 | ||
MR PRESSO | 91 | -0.27 (-0.30 to -0.24) | 3.59E-22 | ||
WHR | IVW | 271 | -0.28 (-0.34 to -0.23) | 5.91E-26 | |
MR Egger | 271 | -0.32 (-0.53 to -0.12) | 1.89E-03 | ||
Weighted Median | 271 | -0.25 (-0.32 to -0.17) | 2.26E-10 | ||
MR PRESSO | 21 | -0.28 (-0.31 to -0.25) | 1.31E-25 | ||
Watching TV | IVW | 332 | -0.41 (-0.44 to -0.39) | 9.10E-226 | |
MR Egger | 332 | -0.44 (-0.53 to -0.35) | 9.50E-19 | ||
Weighted Median | 332 | -0.38 (-0.41 to -0.35) | 7.23E-145 | ||
MR PRESSO | 121 | -0.42 (-0.44 to -0.40) | 2.22E-127 | ||
Cognition | Watching TV | IVW | 106 | -0.20 (-0.24 to -0.16) | 5.11E-25 |
MR Egger | 106 | -0.26 (-0.42 to -0.10) | 1.57E-03 | ||
Weighted Median | 106 | -0.20 (-0.18 to -0.11) | 1.43E-20 | ||
MR PRESSO | 171 | -0.18 (-0.20 to -0.16) | 1.78E-26 | ||
Intelligence | Watching TV | IVW | 136 | -0.21(-0.25 to -0.18) | 1.77E-36 |
MR Egger | 136 | -0.32(-0.47 to -0.16) | 9.16E-05 | ||
Weighted Median | 136 | -0.19(-0.22 to -0.16) | 3.76E-42 | ||
MR PRESSO | 211 | -0.20(-0.22 to -0.18) | 4.11E-32 |
Table 4 MVMR estimating causal associations between each mediator and cholelithiasis with adjustment for education, cognition, or intelligence
Exposure | Mediator | β (95%CI) | OR (95%CI) | P value |
Education | BMI | 0.469 (0.369-0.569) | 1.60 (1.45-1.77) | 4.97E-20 |
BF% | 0.665 (0.525-0.805) | 1.94 (1.69-2.24) | 1.45E-20 | |
Waist circumference | 0.447 (0.282-0.612) | 1.56 (1.33-1.84) | 1.13E-07 | |
WHR | 0.361 (0.130-0.592) | 1.43 (1.14-1.81) | 2.19E-03 | |
Time spent watching TV | 0.372 (0.173-0.571) | 1.45 (1.06-1.75) | 4.29E-02 | |
Cognition | Time spent watching TV | 0.357 (0.071-0.643) | 1.42 (1.07-1.90) | 1.44E-02 |
Intelligence | Time spent watching TV | 0.382 (0.056-0.708) | 1.46 (1.05-2.03) | 2.17E-02 |
- Citation: Li CL, Liu YK, Lan YY, Wang ZS. Association of education with cholelithiasis and mediating effects of cardiometabolic factors: A Mendelian randomization study. World J Clin Cases 2024; 12(20): 4272-4288
- URL: https://www.wjgnet.com/2307-8960/full/v12/i20/4272.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v12.i20.4272