Genetic correlation and causal relationships between cardio-metabolic traits and lung function impairment

[1] Leone N(2016)Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million participants Lancet. 387 1377-1396

[2] Courbon D(2009)Lung function impairment and metabolic syndrome: the critical role of abdominal obesity Am J Respir Crit Care Med 179 509-516

[3] Thomas F(2007)C-reactive protein as a predictor of prognosis in chronic obstructive pulmonary disease Am J Respir Crit Care Med 175 250-255

[4] Bean K(2019)Gender- and age-specific associations between body fat composition and c-reactive protein with lung function: a cross-sectional study Sci Rep 9 384-573

[5] Jego B(2017)Pulmonary function and sleep breathing: two new targets for type 2 diabetes care Endocr Rev 38 550-822

[6] Leynaert B(2008)The metabolic syndrome Endocr Rev 29 777-206

[7] Dahl M(2018)A comparison of different definitions of metabolic syndrome for the risks of atherosclerosis and diabetes Diabetol Metab Syndr 10 56-2902

[8] Vestbo J(2015)Genetic studies of body mass index yield new insights for obesity biology Nature. 518 197-738

[9] Lange P(2017)An expanded genome-wide association study of type 2 diabetes in Europeans Diabetes. 66 2888-1283

[10] Bojesen SE(2011)Meta-analysis of genome-wide association studies in >80 000 subjects identifies multiple loci for C-reactive protein levels Circulation. 123 731-1130

[1] Leone N(2016)Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million participants Lancet. 387 1377-1396

[2] Courbon D(2009)Lung function impairment and metabolic syndrome: the critical role of abdominal obesity Am J Respir Crit Care Med 179 509-516

[3] Thomas F(2007)C-reactive protein as a predictor of prognosis in chronic obstructive pulmonary disease Am J Respir Crit Care Med 175 250-255

[4] Bean K(2019)Gender- and age-specific associations between body fat composition and c-reactive protein with lung function: a cross-sectional study Sci Rep 9 384-573

[5] Jego B(2017)Pulmonary function and sleep breathing: two new targets for type 2 diabetes care Endocr Rev 38 550-822

[6] Leynaert B(2008)The metabolic syndrome Endocr Rev 29 777-206

[7] Dahl M(2018)A comparison of different definitions of metabolic syndrome for the risks of atherosclerosis and diabetes Diabetol Metab Syndr 10 56-2902

[8] Vestbo J(2015)Genetic studies of body mass index yield new insights for obesity biology Nature. 518 197-738

[9] Lange P(2017)An expanded genome-wide association study of type 2 diabetes in Europeans Diabetes. 66 2888-1283

[10] Bojesen SE(2011)Meta-analysis of genome-wide association studies in >80 000 subjects identifies multiple loci for C-reactive protein levels Circulation. 123 731-1130