Zoha Kamali - Department of Bioinformatics, Faculty of Advanced Medical Technologies, Isfahan University of Medical Sciences;
Ahmad Vaez - Department of Bioinformatics, Faculty of Advanced Medical Technologies, Isfahan University of Medical Sciences;Department of Epidemiology, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands

Genome-wide association studies (GWAS) have revealed thousands of association signals influencing complex traits or diseases including type ۲ diabetes (T۲D). Most of these associations map to noncoding variants and thus, the identification of their cognate effector genes and subsequently involved mechanisms and physiologic processes has been always challenging. Here we try to investigate the causal associations of metabolites with the risk of T۲D.

Association, diabetes, lipids, Mendelian randomization, causality