Bidirectional two-sample mendelian randomization analysis identifies causal associations of MRI-based cortical thickness and surface area relation to NAFLD

Mao, Zun; Gao, Zhi-xiang; Ji, Tong; Huan, Sheng; Yin, Guo-ping; Chen, Long

doi:10.1186/s12944-024-02043-x

Lipids in Health and Disease

Table 2 Multivariable MR results for the relationship between NAFLD and cortical structure, adjusted for BMI, diabetes, hyperlipidemia, and obesity

From: Bidirectional two-sample mendelian randomization analysis identifies causal associations of MRI-based cortical thickness and surface area relation to NAFLD

	Parahippocampal SA (global weighting)	Caudalmiddlefrontal TH (global weighting)	Cuneus TH (global weighting)	lingual TH (global weighting)	Parstriangularis TH (global weighting)	Caudalmiddlefrontal TH (non-global weighting)	Parstriangularis TH (non-global weighting)	Superiotemporal SA (non-global weighting)
Adjusted for BMI
MR-Egger	-2.818 (-6.680, 1.044) P = 0.153	-0.004 (-0.009, 0.000) P = 0.055	-0.004 (-0.009, 0.001) P = 0.149	-0.003 (-0.007, 0.001) P = 0.186	-0.002 (-0.007, 0.003) P = 0.496	-0.007 (-0.014, -0.001) P = 0.033	-0.006 (-0.013, 0.001) P = 0.076	-5.006 (-28.137, 18.126) P = 0.671
Weighted median	-4.193 (-8.033, -0.354) P = 0.032	0.002 (-0.003, 0.008) P = 0.354	-0.006 (-0.011, -0.001) P = 0.024	-0.006 (-0.010, -0.001) P = 0.016	-0.002 (-0.008, 0.003) P = 0.345	0.000 (-0.007, 0.007) P = 1.000	-0.008 (-0.014, -0.001) P = 0.025	-17.636 (-37.431, 2.159) P = 0.081
Inverse variance weighted	-2.662 (-5.720, 0.396) P = 0.088	0.000 (-0.004, 0.004) P = 0.967	-0.005 (-0.009, -0.001) P = 0.011	-0.004 (-0.008, -0.001) P = 0.013	-0.001 (-0.005, 0.003) P = 0.649	-0.005 (-0.011, 0.000) P = 0.049	-0.007 (-0.012, -0.001) P = 0.018	-15.500 (-33.914, 2.915) P = 0.099
Lasso	-3.362 (-6.107, -0.616) P = 0.016	0.000 (-0.003, 0.004) P = 0.970	-0.007 (-0.011, -0.003) P = 0.001	-0.005 (-0.008, -0.001) P = 0.008	-0.001 (-0.005, 0.002) P = 0.537	-0.005 (-0.010, 0.000) P = 0.050	-0.007 (-0.012, -0.002) P = 0.005	-18.391 (-32.895, -3.887) P = 0.013
BMI F statistics	48.515	48.515	48.515	48.515	48.515	48.515	48.515	48.515
Adjusted for Diabetes
MR-Egger	-3.642 (-8.142, 0.859) P = 0.113	-0.005 (-0.010, 0.001) P = 0.088	-0.006 (-0.012, 0.000) P = 0.052	-0.008 (-0.013, -0.002) P = 0.009	-0.005 (-0.012, 0.002) P = 0.164	-0.007 (-0.015, 0.001) P = 0.081	-0.009 (-0.017, 0.000) P = 0.048	-29.939 (-54.843, -5.035) P = 0.018
Weighted median	-3.989 (-8.633, 0.654) P = 0.092	-0.004 (-0.010, 0.003) P = 0.245	-0.006 (-0.012, 0.001) P = 0.090	-0.006 (-0.012, 0.000) P = 0.040	-0.005 (-0.011, 0.001) P = 0.113	-0.007 (-0.016, 0.001) P = 0.102	-0.008 (-0.017, 0.000) P = 0.064	-18.695 (-42.590, 5.200) P = 0.125
Inverse variance weighted	-4.432 (-8.251, -0.612) P = 0.023	-0.003 (-0.008, 0.001) P = 0.144	-0.005 (-0.010, 0.000) P = 0.067	-0.006 (-0.011, -0.001) P = 0.012	-0.003 (-0.009, 0.003) P = 0.282	-0.007 (-0.014, -0.001) P = 0.035	-0.007 (-0.015, 0.000) P = 0.047	-19.652 (-41.725, 2.420) P = 0.081
Lasso	-4.432 (-8.251, -0.612) P = 0.023	-0.003 (-0.008, 0.001) P = 0.144	-0.005 (-0.010, 0.000) P = 0.067	-0.006 (-0.011, -0.002) P = 0.008	-0.004 (-0.009, 0.000) P = 0.068	-0.007 (-0.014, -0.001) P = 0.035	-0.007 (-0.015, 0.000) P = 0.047	-21.574 (-40.413, -2.735) P = 0.025
DiabetesF statistics	43.204	43.204	43.204	43.204	43.204	43.204	43.204	43.204
Adjusted for Hyperlipidemia
MR-Egger	-2.533 (-8.001, 2.934) P = 0.364	-0.007 (-0.014, 0.000) P = 0.047	-0.007 (-0.017, 0.004) P = 0.200	-0.006 (-0.013, 0.000) P = 0.066	-0.010 (-0.019, -0.001) P = 0.024	-0.009 (-0.020, 0.001) P = 0.075	-0.014 (-0.024, -0.003) P = 0.008	-29.587 (-57.806, -1.369) P = 0.040
Weighted median	-4.214 (-9.651, 1.224) P = 0.129	-0.006 (-0.012, 0.001) P = 0.106	-0.004 (-0.012, 0.003) P = 0.263	-0.006 (-0.013, 0.000) P = 0.062	-0.005 (-0.012, 0.002) P = 0.135	-0.006 (-0.016, 0.004) P = 0.217	-0.007 (-0.017, 0.004) P = 0.216	-9.672 (-38.804, 19.460) P = 0.515
Inverse variance weighted	-4.199 (-8.319, -0.079) P = 0.046	-0.005 (-0.010, 0.001) P = 0.081	-0.004 (-0.012, 0.003) P = 0.255	-0.006 (-0.012, -0.001) P = 0.014	-0.007 (-0.013, 0.000) P = 0.054	-0.006 (-0.013, 0.002) P = 0.149	-0.009 (-0.017, -0.001) P = 0.022	-12.533 (-35.959, 10.893) P = 0.294
Lasso	-4.199 (-8.319, -0.079) P = 0.046	-0.005 (-0.010, 0.001) P = 0.081	-0.004 (-0.012, 0.003) P = 0.255	-0.006 (-0.012, -0.001) P = 0.014	-0.007 (-0.013, 0.000) P = 0.054	-0.006 (-0.013, 0.002) P = 0.149	-0.009 (-0.017, -0.001) P = 0.022	-12.533 (-35.959, 10.893) P = 0.294
Hyperlipidemia F statistics	18.654	18.654	18.654	18.654	18.654	18.654	18.654	18.654
Adjusted for Obesity
MR-Egger	-5.900 (-11.114, -0.686) P = 0.027	-0.008 (-0.016, -0.001) P = 0.031	-0.003 (-0.015, 0.008) P = 0.575	-0.005 (-0.011, 0.002) P = 0.170	-0.011 (-0.018, -0.005) P = 0.001	-0.009 (-0.025, 0.007) P = 0.267	-0.012 (-0.022, -0.003) P = 0.012	-27.064 (-63.955, 9.826) P = 0.150
Weighted median	-4.172 (-8.817, 0.473) P = 0.078	-0.005 (-0.011, 0.001) P = 0.119	-0.006 (-0.013, 0.001) P = 0.078	-0.006 (-0.012, 0.000) P = 0.049	-0.005 (-0.011, 0.001) P = 0.129	-0.007 (-0.016, 0.002) P = 0.117	-0.008 (-0.016, 0.001) P = 0.074	-17.546 (-41.649, 6.557) P = 0.154
Inverse variance weighted	-4.417 (-8.138, -0.696) P = 0.020	-0.003 (-0.010, 0.003) P = 0.339	-0.006 (-0.015, 0.002) P = 0.117	-0.006 (-0.011, -0.002) P = 0.008	-0.003 (-0.011, 0.004) P = 0.397	-0.006 (-0.017, 0.004) P = 0.230	-0.007 (-0.015, 0.000) P = 0.045	-15.750 (-41.573, 10.072) P = 0.232
Lasso	-4.417 (-8.138, -0.696) P = 0.020	-0.003 (-0.010, 0.003) P = 0.339	-0.006 (-0.011, -0.001) P = 0.026	-0.006 (-0.011, -0.002) P = 0.008	-0.005 (-0.010, 0.000) P = 0.038	-0.006 (-0.013, 0.001) P = 0.083	-0.009 (-0.016, -0.002) P = 0.009	-15.750 (-41.573, 10.072) P = 0.232
Obesity F statistics	41.334	41.334	41.334	41.334	41.334	41.334	41.334	41.334

NAFLD, Non-Alcoholic Fatty Liver Disease; MR, mendelian randomization; SE, standard error; CI, confidential interval; SA, surface area; TH, thickness

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