Causal factors underlying diabetes risk informed by Mendelian randomisation analysis: evidence, opportunities and challenges
In:
Contributors (3)
Yuan, Shuai (
0000-0001-5055-5627)
[1]
Merino, Jordi
(0000-0001-8312-1438)
[2]
[3]
[4]
[5]
Larsson, Susanna C
(0000-0003-0118-0341)
(Corresponding author)
[1]
[6]
Affiliations
- [1] Karolinska Institutet [NORA names: Sweden; Europe, EU; Nordic; OECD]
- [2] Broad Institute [NORA names: United States; America, North; OECD]
- [3] Harvard University [NORA names: United States; America, North; OECD]
- [4] Massachusetts General Hospital [NORA names: United States; America, North; OECD]
- [5] University of Copenhagen [NORA names: KU University of Copenhagen; University; Denmark; Europe, EU; Nordic; OECD]
(... more)
Abstract
Diabetes and its complications cause a heavy disease burden globally. Identifying exposures, risk factors and molecular processes causally associated with the development of diabetes can provide important evidence bases for disease prevention and spur novel therapeutic strategies. Mendelian randomisation (MR), an epidemiological approach that uses genetic instruments to infer causal associations between an exposure and an outcome, can be leveraged to complement evidence from observational and clinical studies. This narrative review aims to summarise the evidence on potential causal risk factors for diabetes by integrating published MR studies on type 1 and 2 diabetes, and to reflect on future perspectives of MR studies on diabetes. Despite the genetic influence on type 1 diabetes, few MR studies have been conducted to identify causal exposures or molecular processes leading to increased disease risk. In type 2 diabetes, MR analyses support causal associations of somatic, mental and lifestyle factors with development of the disease. These studies have also identified biomarkers, some of them derived from the gut microbiota, and molecular processes leading to increased disease risk. These studies provide valuable data to better understand disease pathophysiology and explore potential therapeutic targets. Because genetic association studies have mostly been restricted to participants of European descent, multi-ancestry cohorts are needed to examine the role of different types of physical activity, dietary components, metabolites, protein biomarkers and gut microbiome in diabetes development.Graphical abstract
