Abstract

Apolipoprotein A-IV (apoA-IV) has been observed to be associated with lipids, kidney function, adiposity- and diabetes-related parameters. To assess the causal relationship of apoA-IV with these phenotypes, we conducted bidirectional Mendelian randomization (MR) analyses using publicly available summary-level datasets from GWAS consortia on apoA-IV concentrations (n = 13,813), kidney function (estimated glomerular filtration rate (eGFR), n = 133,413), lipid traits (HDL cholesterol, LDL cholesterol, triglycerides, n = 188,577), adiposity-related traits (body-mass-index (n = 322,206), waist-hip-ratio (n = 210,088)) and fasting glucose (n = 133,010). Main analyses consisted in inverse-variance weighted and multivariable MR, whereas MR-Egger regression and weighted median estimation were used as sensitivity analyses. We found that eGFR is likely to be causal on apoA-IV concentrations (53 SNPs; causal effect estimate per 1-SD increase in eGFR = −0.39; 95% CI = [−0.54, −0.24]; p-value = 2.4e-07). Triglyceride concentrations were also causally associated with apoA-IV concentrations (40 SNPs; causal effect estimate per 1-SD increase in triglycerides = −0.06; 95% CI = [−0.08, −0.04]; p-value = 4.8e-07), independently of HDL-C and LDL-C concentrations (causal effect estimate from multivariable MR = −0.06; 95% CI = [−0.10, −0.02]; p-value = 0.0014). Evaluating the inverse direction of causality revealed a possible causal association of apoA-IV on HDL-cholesterol (2 SNPs; causal effect estimate per one percent increase in apoA-IV = −0.40; 95% CI = [−0.60, −0.21]; p-value = 5.5e-05).

Details

Title
Evaluating the Causal Relation of ApoA-IV with Disease-Related Traits - A Bidirectional Two-sample Mendelian Randomization Study
Author
Mack, Salome 1 ; Coassin, Stefan 1   VIAFID ORCID Logo  ; Vaucher, Julien 2   VIAFID ORCID Logo  ; Kronenberg, Florian 1   VIAFID ORCID Logo  ; Lamina, Claudia 1 ; Rueedi, Rico 3 ; Yousri, Noha A 4 ; Seppälä, Ilkka 5 ; Gieger, Christian 6 ; Schönherr, Sebastian 1 ; Forer, Lukas 1 ; Erhart, Gertraud 1 ; Kollerits, Barbara 1 ; Marques-Vidal, Pedro 2 ; Müller-Nurasyid, Martina 7 ; Waeber, Gerard 2 ; Bergmann, Sven 3 ; Dähnhardt, Doreen 1 ; Stöckl, Andrea 1 ; Kiechl, Stefan 8 ; Raitakari, Olli T 9 ; Kähönen, Mika 10 ; Willeit, Johann 8 ; Kedenko, Ludmilla 11 ; Paulweber, Bernhard 11 ; Peters, Annette 12 ; Meitinger, Thomas 13 ; Strauch, Konstantin 14 ; Lehtimäki, Terho 5 ; Hunt, Steven C 15 ; Vollenweider, Peter 2 

 Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria 
 Department of Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland 
 Department of Computational Biology, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland 
 Department of Physiology and Biophysics, Weill Cornell Medical College–Qatar, Doha, Qatar; Department of Computer and Systems Engineering, Alexandria University, Alexandria, Egypt 
 Department of Clinical Chemistry, Fimlab Laboratories and University of Tampere School of Medicine, Tampere, Finland 
 Institute of Genetic Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health, Neuherberg, Germany; Institute of Epidemiology II, Helmholtz Zentrum München—German Research Center for Environmental Health, Neuherberg, Germany; Research Unit of Molecular Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health, Neuherberg, Germany 
 Institute of Genetic Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health, Neuherberg, Germany; DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany; Department of Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland; Department of Medicine I, University Hospital Grosshadern, Ludwig-Maximilians-Universität, Munich, Germany 
 Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria 
 Department of Clinical Physiology, Turku University Hospital, Turku, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland 
10  Department of Clinical Physiology, Tampere University Hospital and University of Tampere, Tampere, Finland 
11  First Department of Internal Medicine, Paracelsus Private Medical University, Salzburg, Austria 
12  Institute of Epidemiology II, Helmholtz Zentrum München—German Research Center for Environmental Health, Neuherberg, Germany; DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany; German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany 
13  Institute of Human Genetics, Technische Universität München, München, Germany; Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany 
14  Institute of Genetic Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health, Neuherberg, Germany; Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany 
15  Cardiovascular Genetics Division, University of Utah School of Medicine, Salt Lake City, UT, USA; Department of Genetic Medicine, Weill Cornell Medicine, Doha, Qatar 
Pages
1-13
Publication year
2017
Publication date
Aug 2017
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1957246077
Copyright
© 2017. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.